Entries + FVG SignalsE+FVG: A Masterclass in Institutional Trading Concepts
Chapter 1: The Modern Trader's Dilemma—Decoding the Institutional Footprint
In the vast, often chaotic ocean of the financial markets, retail traders navigate with the tools they are given: conventional indicators like moving averages, RSI, and MACD. While useful for gauging momentum and general trends, these tools often fall short because they were not designed to interpret the primary force that moves markets: institutional order flow. The modern trader faces a critical challenge: the tools and concepts taught in mainstream trading education are often decades behind the sophisticated, algorithm-driven strategies employed by banks, hedge funds, and large financial institutions.
This leads to a frustrating cycle of seemingly inexplicable price movements. A trader might see a perfect breakout from a classic pattern, only for it to reverse viciously, stopping them out. They might identify a strong trend, yet struggle to find a logical entry point, consistently feeling "late to the party." These experiences are not random; they are often the result of institutional market manipulation designed to engineer liquidity.
The fundamental problem that E+FVG (Entries + FVG Signals) addresses is this informational asymmetry. It is a sophisticated, institutional-grade framework designed to move a trader's perspective from a retail mindset to a professional one. It does not rely on lagging, derivative indicators. Instead, it focuses on the two core elements of price action that reveal the true intentions of "Smart Money": liquidity and imbalances.
This is not merely another indicator to add to a chart; it is a complete analytical engine designed to help you see the market through a new lens. It deconstructs price action to pinpoint two critical things:
Where institutions are likely to hunt for liquidity (running stop-loss orders).
The specific price inefficiencies (Fair Value Gaps) they are likely to target.
By focusing on these core principles, E+FVG provides a logical, rules-based solution to identifying high-probability trade setups. It is built for the discerning trader who is ready to evolve beyond conventional technical analysis and learn a methodology that is aligned with how the market truly operates at an institutional level. It is, in essence, an operating system for "Smart Money" trading.
Chapter 2: The Core Philosophy—Liquidity is the Fuel, Imbalances are the Destination
To fully grasp the power of this tool, one must first understand its foundational philosophy, which is rooted in the core tenets of institutional trading, often referred to as Smart Money Concepts (SMC). This philosophy can be distilled into two simple, powerful ideas:
1. Liquidity is the Fuel that Moves the Market:
The market does not move simply because there are more buyers than sellers, or vice-versa. It moves to seek liquidity. Large institutions cannot simply click "buy" or "sell" to enter or exit their multi-million or billion-dollar positions. Doing so would cause massive slippage and alert the entire market to their intentions. Instead, they must strategically accumulate and distribute their positions in areas where there is a high concentration of orders.
Where are these orders located? They are clustered in predictable places: above recent swing highs (buy-stop orders from shorts, and breakout buy orders) and below recent swing lows (sell-stop orders from longs, and breakout sell orders). This collective pool of orders is called liquidity. Institutions will often drive price towards these liquidity pools in a "stop hunt" or "liquidity grab" to trigger those orders, creating the necessary volume for them to fill their own large positions, often in the opposite direction of the liquidity grab itself. Understanding this concept is the key to avoiding being the "fuel" and instead learning to trade alongside the institutions.
2. Imbalances (Fair Value Gaps) are the Magnets for Price:
When institutions enter the market with overwhelming force, they create an imbalance in the order book. This energetic, one-sided price movement often leaves behind a gap in the market's pricing mechanism. On a candlestick chart, this appears as a Fair Value Gap (FVG)—a three-candle formation where the wicks of the first and third candles do not fully overlap the range of the middle candle.
These are not random gaps; they represent an inefficiency in the market's price delivery. The market, in its constant quest for equilibrium, has a natural tendency to revisit these inefficiently priced areas to "rebalance" the order book. Therefore, FVGs act as powerful magnets for price. They serve as high-probability targets for a price move and, critically, as logical points of interest where price may reverse after filling the imbalance. A fresh, unfilled FVG is one of the most significant clues an institution leaves behind.
E+FVG is built entirely on this philosophy. The "Entries Simplified" engine is designed to identify the liquidity grabs, and the "FVG Signals" engine is designed to identify the imbalances. Together, they provide a complete, synergistic framework for institutional-grade analysis.
Chapter 3: The Engine, Part I—"Entries Simplified": A Framework for Precision Entry
This is the primary trade-spotting engine of the E+FVG tool. It is a multi-layered system designed to identify a very specific, high-probability entry model based on institutional behavior. It filters out market noise by focusing solely on the sequence of a liquidity sweep followed by a clear and energetic displacement.
Feature 1: The Multi-Timeframe Liquidity Engine
The first and most crucial step in the engine's logic is to identify a valid liquidity grab. The script understands that the most significant reversals are often initiated after price has swept a key high or low from a higher timeframe. A sweep of yesterday's high holds far more weight than a sweep of the last 5-minute high.
Automatic Timeframe Adaptation: The engine intelligently analyzes your current chart's timeframe and automatically selects an appropriate higher timeframe (HTF) for its core analysis. For instance, if you are on a 15-minute chart, it might reference the 4-hour or Daily chart to identify key structural points. This is done seamlessly in the background, ensuring the analysis is always anchored to a significant structural context without requiring manual input.
The "Sweep" Condition: The script is not looking for a simple touch of a high or low. It is looking for a definitive sweep (also known as a "stop hunt" or "Judas swing"). This is defined as price pushing just beyond a key prior candle's high or low and then closing back within its range. This specific price action pattern is a classic signature of a liquidity grab, indicating that the move's purpose was to trigger stops, not to start a new, sustained trend. The "Entries Simplified" engine is constantly scanning the HTF price action for these sweep events, as they are the necessary precondition for any potential setup.
Feature 2: The Upshift/Downshift Signal—Confirming the Reversal
Once a valid HTF liquidity sweep has occurred, the engine moves to its next phase: identifying the confirmation. A sweep alone is not enough; institutions must show their hand and reveal their intention to reverse the market. This confirmation comes in the form of a powerful structural breakout (for bullish reversals) or breakdown (for bearish reversals). We call these events Upshifts and Downshifts.
Defining the Upshift & Downshift: This is the critical moment of confirmation, the market "tipping its hand."
An Upshift occurs after a liquidity sweep below a key low. Following the sweep, price reverses with energy and produces a decisive breakout to the upside, closing above a recent, valid swing high. This action confirms that the prior downtrend's momentum is broken, the downward move was a trap to engineer liquidity, and institutional buyers are now in aggressive control.
A Downshift occurs after a liquidity sweep above a key high. Following the sweep, price reverses aggressively and produces a sharp breakdown to the downside, closing below a recent, valid swing low. This confirms that the prior uptrend's momentum has failed, the upward move was a liquidity grab, and institutional sellers have now taken control of the market.
Algorithmic Identification: The E+FVG engine uses a proprietary algorithm to identify these moments. It analyzes the candle sequence immediately following a sweep, looking for a specific type of market structure break characterized by high energy and displacement—often leaving imbalances (Fair Value Gaps) in its wake. This is not a simple "pivot break"; the algorithm is designed to distinguish between a weak, indecisive wiggle and a true, institutionally-backed Upshift or Downshift.
The Signal: When this precise sequence—a HTF liquidity sweep followed by a valid Upshift or Downshift on the trading timeframe—is confirmed, the indicator plots a clear arrow on the chart. A green arrow below a low signifies a Bullish setup (confirmed by an Upshift), while a red arrow above a high signifies a Bearish setup (confirmed by a Downshift). This is the core entry signal of the "Entries Simplified" engine.
Feature 3: Automated Price Projections—A Built-In Trade Management Framework
A valid entry signal is only one part of a successful trade. A trader also needs a logical framework for taking profits. The E+FVG engine completes its trade-spotting process by providing automated, mathematically-derived price projections.
Fibonacci-Based Logic: After a valid Upshift or Downshift signal is generated, the script analyzes the price leg that created the setup (i.e., the range from the liquidity sweep to the confirmation breakout/breakdown). It then uses a methodology based on standard Fibonacci extension principles to project several potential take-profit (TP) levels.
Multiple TP Levels: The indicator projects four distinct TP levels (TP1, TP2, TP3, TP4). This provides a comprehensive trade management framework. A conservative trader might aim for TP1 or TP2, while a more aggressive trader might hold a partial position for the higher targets. These levels are plotted on the chart as clear, labeled lines, removing the guesswork from profit-taking.
Dynamic and Adaptive: These projections are not static. They are calculated uniquely for each individual setup, based on the specific volatility and range of the price action that generated the signal. This ensures that the take-profit targets are always relevant to the current market conditions.
The "Entries Simplified" engine, therefore, provides a complete, end-to-end framework: it waits for a high-probability condition (HTF sweep), confirms it with a specific entry model (Upshift/Downshift), and provides a logical road map for managing the trade (automated projections).
Chapter 4: The Engine, Part II—"FVG Signals": Mapping Market Inefficiencies
This second, complementary engine of the E+FVG tool operates as a market mapping system. Its sole purpose is to identify, plot, and monitor Fair Value Gaps (FVGs)—the critical price inefficiencies that act as magnets and potential reversal points.
Feature 1: Dual Timeframe FVG Detection
The significance of an FVG is directly related to the timeframe on which it forms. A 1-hour FVG is a more powerful magnet for price than a 1-minute FVG. The FVG engine gives you the ability to monitor both simultaneously, providing a richer, multi-dimensional view of the market's inefficiencies.
Chart TF FVGs: The indicator will, by default, identify and plot the FVGs that form on your current, active chart timeframe. These are useful for short-term scalping and for fine-tuning entries.
Higher Timeframe (HTF) FVGs: With a single click, you can enable the HTF FVG detection. This allows you to overlay, for example, 1-hour FVGs onto your 5-minute chart. This is an incredibly powerful feature. Seeing a 5-minute price rally approaching a fresh, unfilled 1-hour bearish FVG gives you a high-probability context for a potential reversal. The HTF FVGs act as major points of interest that can override the short-term price action.
Feature 2: The Intelligent "Tap-In" Logic—Beyond a Simple Touch
Many FVG indicators will simply alert you when price touches an FVG. The E+FVG engine employs a more sophisticated, two-stage logic to generate its signals, which helps to filter out weak reactions and focus on confirmed reversals.
Stage 1: The Entry. The first event is when price simply enters the FVG zone. This is a "heads-up" moment, and the indicator can be configured to provide an initial alert for this event.
Stage 2: The Confirmed "Tap-In." The official signal, however, is the "Tap-In." This is a more stringent condition. For a bullish FVG, a Tap-In is only confirmed after price has touched or entered the FVG zone and then closed back above the FVG's high. For a bearish FVG, the price must touch or enter the zone and then close back below the FVG's low. This confirmation logic ensures that the FVG has not just been touched, but has been respected and rejected by the market, making the resulting arrow signal significantly more reliable than a simple touch alert.
Feature 3: Interactive and Clean Visuals
The FVG engine is designed to provide maximum information with minimum chart clutter.
Clear, Color-Coded Boxes: Bullish FVGs are plotted in one color (e.g., green or blue), and bearish FVGs in another (e.g., red or orange), with a clear distinction between Chart TF and HTF zones.
Optional Box Display: Recognizing that some traders prefer a cleaner chart, you have the option to hide the FVG boxes entirely. Even with the boxes hidden, the underlying logic remains active, and the script will still generate the crucial Tap-In arrow signals.
Automatic Fading: Once an FVG has been successfully "tapped," the script can be set to automatically fade the color of the box. This provides a clear visual cue that the zone has been tested and may have less significance going forward.
Expiration: FVGs do not remain relevant forever. The script automatically removes old FVG boxes from the chart after a user-defined number of bars, ensuring your analysis is always focused on the most recent and relevant market inefficiencies.
Chapter 5: The Power of Synergy—How the Two Engines Work Together
While both the "Entries Simplified" engine and the "FVG Signals" engine are powerful standalone tools, their true potential is unlocked when used in combination. They are designed to provide confluence—a scenario where two or more independent analytical concepts align to produce a single, high-conviction trade idea.
Scenario A: The A+ Setup (Upshift into FVG). This is the highest probability setup. Imagine the "Entries Simplified" engine detects a HTF liquidity sweep below a key low, followed by a bullish Upshift signal. You look at your chart and see that this strong upward displacement is heading directly towards a fresh, unfilled bearish HTF FVG. This provides you with both a high-probability entry signal and a logical, high-probability target for the trade.
Scenario B: The FVG Confirmation. A trader might see the "Entries Simplified" engine generate a bearish Downshift signal. They feel it is a valid setup but want one extra layer of confirmation. They wait for price to rally a little further and "tap-in" to a nearby bearish FVG that formed during the Downshift's displacement. The FVG Tap-In signal then serves as their final confirmation trigger to enter the trade.
Scenario C: The Standalone FVG Trade. The FVG engine can also be used as a primary trading tool. A trader might notice that price is in a strong uptrend. They see price pulling back towards a fresh, bullish HTF FVG. They are not waiting for a full Upshift/Downshift setup; instead, they are simply waiting for the FVG Tap-In signal to confirm that the pullback is likely over and the trend is ready to resume.
By learning to read the interplay between these two engines, a trader can elevate their analysis from a one-dimensional process to a multi-dimensional, context-aware methodology.
Chapter 6: The Workflow—A Step-by-Step Guide to Practical Application
Step 1: The Pre-Market Analysis (Mapping the Battlefield). Before your session begins, enable the HTF FVG detection. Identify the key, unfilled HTF FVGs above and below the current price. These are your major points of interest for the day—your potential targets and reversal zones.
Step 2: Await the Primary Condition (Patience for Liquidity). During your trading session, your primary focus should be on the "Entries Simplified" engine. Your job is to wait patiently for the script to identify a valid HTF liquidity sweep. Do not force trades in the middle of a price range where no significant liquidity has been taken.
Step 3: The Upshift/Downshift Alert (The Call to Action). When the red or green arrow from the "Entries Simplified" engine appears, it is your cue to focus your attention. This is a potential high-probability setup.
Step 4: The Confluence Check (Building Conviction). With the Upshift or Downshift signal on your chart, ask the key confluence questions:
Did the displacement from the Upshift/Downshift create a new FVG?
Is the projected path of the trade heading towards a pre-identified HTF FVG?
Has an FVG Tap-In signal appeared shortly after the initial signal, offering further confirmation?
Step 5: Execute and Manage. If you have sufficient confluence, execute the trade. Use the automated price projections as your guide for profit-taking. A logical stop-loss is typically placed just beyond the high or low of the liquidity sweep that initiated the entire sequence.
Chapter 7: The Trader's Mind—Mastering the Institutional Mindset
This tool is more than a set of algorithms; it is a training system for professional trading psychology.
From Chasing to Trapping: You stop chasing breakouts and instead learn to identify where others are being trapped.
From FOMO to Patience: The strict, sequential logic of the entry model (Sweep -> Upshift/Downshift) forces you to wait for the highest quality setups, curing the Fear Of Missing Out.
Probabilistic Thinking: By focusing on liquidity and imbalances, you begin to think in terms of probabilities, not certainties. You understand that you are putting on trades where the odds are statistically in your favor, which is the cornerstone of any professional trading career.
Clarity and Confidence: The clear, rules-based signals remove ambiguity and second-guessing. This builds the confidence needed to execute trades decisively when the opportunity arises.
Chapter 8: Frequently Asked Questions & Scenarios
Q: The "Entries Simplified" code looks complex. Do I need to understand all of it?
A: No. The engine is designed to perform its complex analysis in the background. Your job is to understand the principles—liquidity sweep and the resulting Upshift or Downshift—and to recognize the clear arrow signals that the script generates when those conditions are met.
Q: Can I turn one of the engines off?
A: Yes, the indicator is modular. If you only want to focus on Fair Value Gaps, for example, you can disable the plot shapes for the "Entries Simplified" signals in the settings, and vice-versa.
Q: Does this work on all assets and timeframes?
A: The principles of liquidity and imbalance are universal and apply to all markets, from cryptocurrencies to forex to indices. The fractal nature of the analysis means the concepts are valid on all timeframes. However, it is always recommended that a trader backtest and forward-test the tool on their specific instrument and timeframe of choice to understand its unique behavior.
Author's Instructions
To request access to this script, please send me a direct private message here on TradingView.
Alternatively, you can find more information and contact details via the link on my profile signature.
Please DO NOT request access in the Comments section. Comments are for questions about the script's methodology and for sharing constructive feedback.
Tìm kiếm tập lệnh với "entry"
MACD Trading System - Professional V2# MACD Trading System - Professional V2
## Executive Summary
**MACD Pro V2** is an institutional-grade trading indicator combining classical MACD analysis with advanced risk management, multi-timeframe confirmation, and comprehensive performance metrics. Designed for both manual traders and algorithmic systems, this indicator provides actionable signals with built-in stop loss calculation, take profit targets, position sizing, and trailing stop logic.
This indicator is NOT just a signal generator—it's a complete trading system with risk/reward management, performance tracking, and market regime detection.
---
## Core Features
### 1. Advanced MACD Calculation
- **Customizable EMAs**: Fast (default 8), Slow (default 21), Signal (default 5)
- **Confirmed Signals**: Uses barstate.isconfirmed to prevent repainting
- **Zero-Line Position**: Shows MACD above/below zero for momentum context
### 2. Multi-Timeframe Analysis
- **4 Simultaneous Timeframes**: 4H, 1H, 15M, 5M analyzed in parallel
- **MTF Alignment Score**: 0-100% showing consensus across timeframes
- **Smart Requests**: Uses lookahead=barmerge.lookahead_off for accuracy
### 3. Market Regime Detection
Automatically identifies current market conditions:
- **TRENDING** - ADX > 25, strong directional movement
- **RANGING** - ADX < 20, choppy sideways movement
- **VOLATILE** - ATR > 1.5x average, high uncertainty
- **NORMAL** - Default market state
### 4. Integrated Risk Management
Complete position management system:
- **Stop Loss Calculation**: Automatic SL placement based on ATR × multiplier
- **Take Profit Targets**: Calculated using Risk:Reward ratio (default 2:1)
- **Position Sizing**: Scales position size based on account risk percentage
- **Trailing Stop**: Dynamically adjusts SL as price moves in your favor
- **Drawdown Monitoring**: Tracks maximum drawdown vs account
### 5. Advanced Signal Scoring
0-100 point system weighing:
- **MTF Alignment (35%)**: Multi-timeframe confirmation strength
- **Momentum (25%)**: RSI conditions + Divergence detection
- **Volume (20%)**: Volume profile and confirmation
- **Volatility (20%)**: Market regime adjustment
**Signal Classifications:**
- **STRONG (70+)**: High confidence, tight stops, optimal entry
- **MEDIUM (50-69)**: Valid signals, confirm with price action
- **WEAK (<50)**: Low conviction, skip or use tight risk management
### 6. Professional Performance Metrics
Real-time trading statistics:
- **Win Rate**: Percentage of winning trades
- **Max Drawdown**: Largest peak-to-trough decline
- **Sharpe Ratio**: Risk-adjusted returns (anualized)
- **Profit Factor**: Gross profit / Gross loss ratio
- **Consecutive Losses**: Psychological stress indicator
### 7. Advanced Filtering System
- **Divergence Detection**: Automatic bullish/bearish divergence identification
- **Support/Resistance**: Pivot-based dynamic S/R levels
- **Volume Confirmation**: Only takes signals with volume > 1.0x average
- **Session Filter**: Optional trading hours restriction
- **Volatility Adjustment**: Reduces entries in extremely high volatility
---
## How It Works
### Signal Generation Process
**Step 1: MACD Crossover**
- Crossover of MACD above/below signal line triggers base signal
- Uses confirmed values to prevent false signals
**Step 2: Multi-Timeframe Confirmation**
- Checks trend alignment on 4H, 1H, 15M, 5M
- Calculates MTF alignment percentage
- Higher alignment = higher confidence
**Step 3: Advanced Scoring**
Signal is scored on 100-point scale:
- MTF alignment contribution (35 pts max)
- RSI + Divergence (25 pts max)
- Volume profile (20 pts max)
- Volatility regime adjustment (20 pts max)
**Step 4: Filter Application**
- Session filter (if enabled)
- Support/Resistance proximity bonus
- Volume confirmation requirement
- Drawdown check (if risk mgmt enabled)
**Step 5: Risk Calculation**
- Stop Loss placed 2 ATR below entry (customizable)
- Take Profit calculated using 2:1 risk/reward ratio
- Position size scaled to risk 1% per trade
- Trailing stop activated after 1R profit
**Step 6: Signal Output**
- Buy Signal: Green triangle (Strong) or circle (Medium)
- Sell Signal: Red triangle (Strong) or circle (Medium)
- Dashboard shows complete trade details
---
## Trading Scenarios
### Scenario 1: Strong Buy Setup
```
Requirements met:
✓ MACD crosses above signal line
✓ 3/4 timeframes bullish (4H, 1H, 15M)
✓ RSI oversold (< 30)
✓ Volume spike confirmed
✓ Score: 78/100 → STRONG BUY
System provides:
- Entry: Current price
- Stop Loss: 2 ATR below entry
- Take Profit: 2× risk distance above
- Position Size: Adjusted to 1% account risk
- Trailing Stop: Activates at 1R profit
```
### Scenario 2: Medium Buy with Divergence
```
Requirements met:
✓ MACD crosses above signal line
✓ 2/4 timeframes bullish (4H, 1H)
✓ Bullish divergence detected
✓ Price near support level
✓ Score: 62/100 → MEDIUM BUY
Considerations:
- Lower confidence → tighter risk management
- Use smaller position size
- Require additional confirmation
- Better as counter-trend entry
```
### Scenario 3: Ranging Market Filter
```
Market condition detected: RANGING
ADX < 20, sideways movement
System response:
- Reduces signal score by volatility adjustment
- May skip signals entirely
- Prioritizes higher confluence
- Warns of low trend probability
Best action: Wait for trending market
```
---
## Risk Management Deep Dive
### Stop Loss Calculation
```
Stop Loss Distance = ATR × ATR Multiplier (default 2.0)
Example:
- Current price: 1.0850
- ATR(14): 0.0045
- SL Distance: 0.0045 × 2.0 = 0.009
- BUY SL: 1.0850 - 0.009 = 1.0760
```
### Position Sizing
```
Position Size = (Account Risk % / Price Risk %)
Example:
- Risk per trade: 1% of account
- Stop distance: 0.009 on price of 1.0850
- Price risk: 0.009 / 1.0850 = 0.83%
- Position size: 1.0% / 0.83% = 1.2x (capped at 1.0x max)
```
### Trailing Stop Logic
```
Normal SL: 2 ATR below entry
Trigger Level: Entry + (Entry - SL) × Trail Activation (1.0R)
Trailing Mechanism:
- If price hits trigger, trailing SL activates
- SL moves up to: Close - 2 ATR
- SL never moves down, only up (for longs)
- Protects profits while allowing upside
```
### Drawdown Protection
```
Tracks:
- Peak equity reached
- Current drawdown from peak
- Maximum drawdown recorded
- Stops trading if max DD exceeded
Example:
- Peak: $10,000
- Current: $9,200
- Drawdown: 8%
- Max allowed: 10%
- Status: CONTINUE TRADING
```
---
## Dashboard Metrics Explained
### Market Section
- **Market Regime**: Current state (Trending/Ranging/Volatile/Normal)
- **ADX Value**: Trend strength indicator (0-100)
### Position Section
- **Current Position**: LONG, SHORT, or NONE
- **P&L**: Unrealized profit/loss percentage if in position
### Timeframe Section
- Individual 4H/1H/15M trend status
- **Alignment**: Percentage of bullish timeframes
### Risk Management Section
- **Stop Loss %**: Distance from current price
- **Take Profit %**: Target profit distance
- **Position Size**: Capital allocation multiplier
- **Risk %**: Per-trade risk percentage
### Performance Section
- **Win Rate**: % of winning trades (>60% is excellent)
- **Max DD**: Maximum drawdown experienced
- **Sharpe Ratio**: Risk-adjusted return metric
- **Profit Factor**: Ratio of profits to losses
### Indicators Section
- **RSI**: Momentum and overbought/oversold levels
- **Volume**: Current vs. average volume ratio
- **Divergence**: Active divergence detection
---
## Advanced Features
### Divergence Detection
```
Bullish Divergence:
- Price makes lower low
- MACD makes higher high
- Signals potential reversal UP
Bearish Divergence:
- Price makes higher high
- MACD makes lower low
- Signals potential reversal DOWN
Lookback: 20 bars (customizable)
```
### Support & Resistance
```
Method: Pivot High/Low detection
- Pivot Left/Right: 10 bars
- Dynamic S/R levels update as new pivots form
- Bonus score if entry near identified levels
```
### Performance Tracking
Real-time statistics calculated from:
- Win/loss signals
- Profit/loss per trade
- Consecutive losing trades
- Cumulative returns
- Standard deviation (Sharpe calculation)
Stores last 100 trades in memory for statistics.
---
## Input Parameters Explained
### MACD Settings
- **Fast EMA** (5-13): Lower = more responsive, more false signals
- **Slow EMA** (20-26): Higher = smoother, misses faster moves
- **Signal EMA** (5-9): Crossover sensitivity
### Risk Management
- **ATR Period** (default 14): Volatility measurement period
- **SL ATR Multiplier** (1.5-3.0): Stop loss tightness
- **Risk:Reward Ratio** (1-5): Profit target calculation
- **Trail Activation** (0.5-2.0): When to start trailing stop
- **Risk Per Trade** (0.1-5.0): Account risk percentage
- **Max Drawdown** (5-30%): Trading pause threshold
### Scoring Weights
Customize signal emphasis:
- **MTF Alignment** (35%): How important is multi-timeframe
- **Momentum** (25%): RSI and divergence weight
- **Volume** (20%): Volume confirmation priority
- **Volatility** (20%): Regime adjustment strength
### Advanced Filters
- **Check Divergence**: Enable/disable divergence scoring
- **Session Filter**: Restrict to specific hours
- **Min Volume Ratio**: Minimum volume for signal
### Display
- **Show Dashboard**: Main metrics table
- **Show Performance**: Trading statistics
- **Show S/R Levels**: Support/resistance visualization
---
## Best Practices
1. **Backtest Before Trading**: Test parameters on your preferred pairs
2. **Start with Strong Signals**: Use only 70+ scored signals initially
3. **Position Size**: Never risk more than 1-2% per trade
4. **Market Regime Awareness**: Skip ranging market entries
5. **Volume Confirmation**: Always check volume spikes
6. **Profit Taking**: Lock in profits at TP, don't let winners die
7. **Loss Management**: Honor stop losses, don't move them
8. **Performance Review**: Check metrics weekly, adjust if needed
---
## Trading Strategy Examples
### Conservative Strategy (Win-Rate Focus)
```
Settings:
- Signal Score Minimum: 70+ (Strong only)
- Risk Per Trade: 0.5%
- Risk:Reward: 3:1
- Position Size: 0.5x (smaller)
Targets:
- Win Rate > 65%
- Max DD < 5%
- Profit Factor > 2.0
```
### Aggressive Strategy (Profit Focus)
```
Settings:
- Signal Score Minimum: 50+ (Medium+)
- Risk Per Trade: 2%
- Risk:Reward: 1.5:1
- Position Size: 1.0x (maximum)
Targets:
- Win Rate > 55%
- Max DD < 10%
- Profit Factor > 1.5
```
### Trend Trading Strategy
```
Settings:
- Only trade when ADX > 25 (Trending)
- MTF Alignment: 3+ timeframes
- Use Trailing Stop: Yes
- Risk:Reward: 2.5:1
Focus on: Riding large moves
Best on: 4H timeframe
Pairs: Trending majors (EURUSD, GBPUSD)
```
### Divergence Trading Strategy
```
Settings:
- Signal Score Minimum: 60+
- Enable Divergence: Yes
- Volume Confirmation: Required
- Position Size: 0.75x
Focus on: Reversal entries
Best setup: Divergence at resistance/support
Risk management: Tight stops (1.5 ATR)
```
---
## Advantages
✓ Complete trading system, not just signals
✓ Built-in risk management and position sizing
✓ Real-time performance tracking
✓ Multi-timeframe confirmation reduces false signals
✓ Advanced filtering and divergence detection
✓ Market regime awareness
✓ Customizable scoring weights
✓ Professional dashboard display
✓ Support/resistance integration
✓ Trailing stop logic for profit protection
---
## Limitations
- Lagging indicator (uses confirmed bars)
- Works best on trending markets
- Not optimized for news/event trading
- Requires parameter optimization per pair
- Performance varies by timeframe
- Past performance doesn't guarantee future results
- Can produce whipsaw signals in ranging markets
---
## System Requirements
- TradingView Premium or higher (for advanced charting)
- Recommended: 4H or 1H timeframe
- Historical data: Minimum 100 bars
- Currency pairs: Works on all FX pairs, stocks, commodities
---
## Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice and does not guarantee profits. Past performance does not predict future results.
**Important Notices:**
- Always use proper risk management
- Trade only with capital you can afford to lose
- Backtest thoroughly before live trading
- Combine with your own analysis
- Consider external market factors and news
- Monitor positions actively
- Keep emotional discipline
---
## Support & Optimization
For best results:
1. Test on your preferred instrument (6-12 months history)
2. Adjust MACD parameters to your timeframe
3. Optimize scoring weights to your style
4. Set risk management per your account size
5. Document your trade results and review weekly
6. Adapt parameters if performance degrades
This is a powerful system when used correctly. Respect the rules and let statistics work in your favor.
Binary Options Fast Scalping [TradingFinder] M1 & M5 Signals🔵 Introduction
In the structure of financial markets, spiky moments and sudden price movements play a key role in Liquidity Grabs and Market Structure Resets. These movements usually occur after the accumulation of orders in Buy Side or Sell Side Liquidity zones and are accompanied by rapid breaks in the form of Break of Structure (BoS) or Change of Character (CHoCH).
At this stage, the market temporarily moves in the direction of liquidity to trigger counter orders and then enters a Retracement or Pullback phase, a point where professional traders using the Smart Money Concept (SMC) look for candle confirmation to enter with precision.
This strategy is built upon the same logic : an initial spiky move as a signal of institutional or liquidity driven algorithms, followed by a controlled pullback toward areas such as the Order Block, Fair Value Gap (FVG), or Imbalance Zone, and finally an entry based on a strong confirmation candle (Engulf, Rejection, Breaker) that defines the true direction of order flow.
This combination of price behavior, especially on lower timeframes such as M1 or M5, provides an ideal setup for fast Scalping, Micro Structure Trading, and even short term directional prediction in Binary Options Trading.
Since the main focus of this method is on identifying liquidity phases, structural confirmations, and momentum confirmation candles, the trader can design entries with high probability and logical stop loss placement using the concepts of Fractal Market Structure and Multi Timeframe Confirmation.
In the scalping version, the main objective is to capture the move toward the next liquidity pool or opposite demand and supply zone, while in the binary version, only the prediction of the next candle’s direction matters. This strategy inherently operates based on Smart Money Behavior, Liquidity Engineering, and Order Flow Dynamics, allowing the extraction of fast and profitable moves from the internal logic of market structure.
🔵 How to Use
The operational logic of this strategy is based on Liquidity Sweep, Pullback, and Confirmation Candle. The trader should first identify the initial Impulse Move, which is often accompanied by liquidity absorption around Buy Side or Sell Side Liquidity areas. After that, the market enters the Retracement phase and returns to structural zones such as the Order Block or the Fair Value Gap (FVG).
At this point, a position is taken only when a confirmation candle (Engulf, Breaker, or Rejection Candle) closes in the direction of continuation and aligns with the new structure (BOS or CHoCH). Applying this model on lower timeframes offers the highest precision for fast Scalping or for predicting the next candle’s direction in Binary Option trading.
🟣 Bullish Setup
In the bullish setup, the market first forms a spiky upward move with a sudden increase in momentum, indicating the activation of liquidity flow in the Buy Side Liquidity zone. This movement is usually accompanied by a Break of Structure (BOS) to the upside and marks the beginning of the Impulse Move phase. After this move, the price enters the Pullback phase and returns to structural areas such as the Bullish Order Block, Fair Value Gap (FVG), or Mitigation zone.
At this stage, the trader waits for a bullish confirmation candle (Bullish Engulf or Breaker Candle) to validate the end of the retracement. Entry is made at the close of the confirmation candle or on a minor pullback, with the stop loss placed below the Swing Low or below the pullback zone. The target is set at the next Buy Side Liquidity or Equal Highs. In the binary version, only the direction of the next candle matters and the entry takes place immediately after the confirmation candle.
🟣 Bearish Setup
In the bearish setup, the market first forms a spiky downward move, signaling increased selling pressure and liquidity absorption at the Sell Side Liquidity zone. This movement is accompanied by a Break of Structure (BOS) to the downside and represents the beginning of a bearish momentum phase. After the spike, the price enters the Retracement phase and returns to the Bearish Order Block or bearish Fair Value Gap zone. Within these areas, the formation of a bearish confirmation candle (Bearish Engulf, Breaker, or Rejection Candle) validates the continuation of the downtrend.
The entry is taken at the close of the confirmation candle, with the stop loss placed above the Swing High or above the pullback zone, and the target set toward the next Sell Side Liquidity or Equal Lows. In binary applications, only the direction of the next candle is considered and the confirmation candle serves as the entry trigger.
🔵 Conclusion
This strategy, by combining the principles of the Smart Money Concept, Liquidity Dynamics, and Candle Confirmation Logic, offers a precise and multi functional approach to market entry. Its core structure, identifying the initial spiky movement, waiting for a structural pullback, and entering based on a confirmation candle allows quick interpretation of institutional liquidity behavior and provides trading opportunities with high accuracy and controlled risk.
On lower timeframes, this logic becomes a powerful tool for Scalping and Micro Structure Trading, while in binary markets it delivers high success rates due to its focus on predicting the next candle’s direction. Built upon the foundations of Order Flow, Market Structure, and Fractal Liquidity Behavior, this strategy demonstrates that even in the fastest and noisiest market conditions, the order of Smart Money remains observable and exploitable.
LEGEND IsoPulse Fusion Universal Volume Trend Buy Sell RadarLEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell Radar
One line summary
LEGEND IsoPulse Fusion reads intent from price and volume together, learns which features matter most on your symbol, blends them into a single signed Fusion line in a stable unit range, and emits clear Buy Sell Close events with a structure gate and a liquidity safety gate so you act only when the tape is favorable.
What this script is and why it exists
Many traders keep separate windows for trend, volume, volatility, and regime filters. The result can feel fragmented. This script merges two complementary engines into one consistent view that is easy to read and simple to act on.
LEGEND Tensor estimates directional quality from five causally computed features that are normalized for stationarity. The features are Flow, Tail Pressure with Volume Mix, Path Curvature, Streak Persistence, and Entropy Order.
IsoPulse transforms raw volume into two decaying reservoirs for buy effort and sell effort using body location and wick geometry, then measures price travel per unit volume for efficiency, and detects volume bursts with a recency memory.
Both engines are mapped into the same unit range and fused by a regime aware mixer. When the tape is orderly the mixer leans toward trend features. When the tape is messy but a true push appears in volume efficiency with bursts the mixer allows IsoPulse to speak louder. The outcome is a single Fusion line that lives in a familiar range with calm behavior in quiet periods and expressive pushes when energy concentrates.
What makes it original and useful
Two reservoir volume split . The script assigns a portion of the bar volume to up effort and down effort using body location and wick geometry together. Effort decays through time using a forgetting factor so memory is present without becoming sticky.
Efficiency of move . Price travel per unit volume is often more informative than raw volume or raw range. The script normalizes both sides and centers the efficiency so it becomes signed fuel when multiplied by flow skew.
Burst detection with recency memory . Percent rank of volume highlights bursts. An exponential memory of how recently bursts clustered converts isolated blips into useful context.
Causal adaptive weighting . The LEGEND features do not receive static weights. The script learns, causally, which features have correlated with future returns on your symbol over a rolling window. Only positive contributions are allowed and weights are normalized for interpretability.
Regime aware fusion . Entropy based order and persistence create a mixer that blends IsoPulse with LEGEND. You see a single line rather than two competing panels, which reduces decision conflict.
How to read the screen in seconds
Fusion area . The pane fills above and below zero with a soft gradient. Deeper fill means stronger conviction. The white Fusion line sits on top for precise crossings.
Entry guides and exit guides . Two entry guides draw symmetrically at the active fused entry level. Two exit guides sit inside at a fraction of the entry. Think of them as an adaptive envelope.
Letters . B prints once when the script flips from flat to long. S prints once when the script flips from flat to short. C prints when a held position ends on the appropriate side. T prints when the structure gate first opens. A prints when the liquidity safety flag first appears.
Price bar paint . Bars tint green while long and red while short on the chart to mirror your virtual position.
HUD . A compact dashboard in the corner shows Fusion, IsoPulse, LEGEND, active entry and exit levels, regime status, current virtual position, and the vacuum z value with its avoid threshold.
What signals actually mean
Buy . A Buy prints when the Fusion line crosses above the active entry level while gates are open and the previous state was flat.
Sell . A Sell prints when the Fusion line crosses below the negative entry level while gates are open and the previous state was flat.
Close . A Close prints when Fusion cools back inside the exit envelope or when an opposite cross would occur or when a gate forces a stop, and the previous state was a hold.
Gates . The Trend gate requires sufficient entropy order or significant persistence. The Avoid gate uses a liquidity vacuum z score. Gates exist to protect you from weak tape and poor liquidity.
Inputs and practical tuning
Every input has a tooltip in the script. This section provides a concise reference that you can keep in mind while you work.
Setup
Core window . Controls statistics across features. Scalping often prefers the thirties or low fifties. Intraday often prefers the fifties to eighties. Swing often prefers the eighties to low hundreds. Smaller responds faster with more noise. Larger is calmer.
Smoothing . Short EMA on noisy features. A small value catches micro shifts. A larger value reduces whipsaw.
Fusion and thresholds
Weight lookback . Sample size for weight learning. Use at least five times the horizon. Larger is slower and more confident. Smaller is nimble and more reactive.
Weight horizon . How far ahead return is measured to assess feature value. Smaller favors quick reversion impulses. Larger favors continuation.
Adaptive thresholds . Entry and exit levels from rolling percentiles of the absolute LEGEND score. This self scales across assets and timeframes.
Entry percentile . Eighty selects the top quintile of pushes. Lower to seventy five for more signals. Raise for cleanliness.
Exit percentile . Mid fifties keeps trades honest without overstaying. Sixty holds longer with wider give back.
Order threshold . Minimum structure to trade. Zero point fifteen is a reasonable start. Lower to trade more. Raise to filter chop.
Avoid if Vac z . Liquidity safety level. One point two five is a good default on liquid markets. Thin markets may prefer a slightly higher setting to avoid permanent avoid mode.
IsoPulse
Iso forgetting per bar . Memory for the two reservoirs. Values near zero point nine eight to zero point nine nine five work across many symbols.
Wick weight in effort split . Balance between body location and wick geometry. Values near zero point three to zero point six capture useful behavior.
Efficiency window . Travel per volume window. Lower for snappy symbols. Higher for stability.
Burst percent rank window . Window for percent rank of volume. Around one hundred to three hundred covers most use cases.
Burst recency half life . How long burst clusters matter. Lower for quick fades. Higher for cluster memory.
IsoPulse gain . Pre compression gain before the atan mapping. Tune until the Fusion line lives inside a calm band most of the time with expressive spikes on true pushes.
Continuation and Reversal guides . Visual rails for IsoPulse that help you sense continuation or exhaustion zones. They do not force events.
Entry sensitivity and exit fraction
Entry sensitivity . Loose multiplies the fused entry level by a smaller factor which prints more trades. Strict multiplies by a larger factor which selects fewer and cleaner trades. Balanced is neutral.
Exit fraction . Exit level relative to the entry level in fused unit space. Values around one half to two thirds fit most symbols.
Visuals and UX
Columns and line . Use both to see context and precise crossings. If you present a very clean chart you can turn columns off and keep the line.
HUD . Keep it on while you learn the script. It teaches you how the gates and thresholds respond to your market.
Letters . B S C T A are informative and compact. For screenshots you can toggle them off.
Debug triggers . Show raw crosses even when gates block entries. This is useful when you tune the gates. Turn them off for normal use.
Quick start recipes
Scalping one to five minutes
Core window in the thirties to low fifties.
Horizon around five to eight.
Entry percentile around seventy five.
Exit fraction around zero point five five.
Order threshold around zero point one zero.
Avoid level around one point three zero.
Tune IsoPulse gain until normal Fusion sits inside a calm band and true squeezes push outside.
Intraday five to thirty minutes
Core window around fifty to eighty.
Horizon around ten to twelve.
Entry percentile around eighty.
Exit fraction around zero point five five to zero point six zero.
Order threshold around zero point one five.
Avoid level around one point two five.
Swing one hour to daily
Core window around eighty to one hundred twenty.
Horizon around twelve to twenty.
Entry percentile around eighty to eighty five.
Exit fraction around zero point six zero to zero point seven zero.
Order threshold around zero point two zero.
Avoid level around one point two zero.
How to connect signals to your risk plan
This is an indicator. You remain in control of orders and risk.
Stops . A simple choice is an ATR multiple measured on your chart timeframe. Intraday often prefers one point two five to one point five ATR. Swing often prefers one point five to two ATR. Adjust to symbol behavior and personal risk tolerance.
Exits . The script already prints a Close when Fusion cools inside the exit envelope. If you prefer targets you can mirror the entry envelope distance and convert that to points or percent in your own plan.
Position size . Fixed fractional or fixed risk per trade remains a sound baseline. One percent or less per trade is a common starting point for testing.
Sessions and news . Even with self scaling, some traders prefer to skip the first minutes after an open or scheduled news. Gate with your own session logic if needed.
Limitations and honest notes
No look ahead . The script is causal. The adaptive learner uses a shifted correlation, crosses are evaluated without peeking into the future, and no lookahead security calls are used. If you enable intrabar calculations a letter may appear then disappear before the close if the condition fails. This is normal for any cross based logic in real time.
No performance promises . Markets change. This is a decision aid, not a prediction machine. It will not win every sequence and it cannot guarantee statistical outcomes.
No dependence on other indicators . The chart should remain clean. You can add personal tools in private use but publications should keep the example chart readable.
Standard candles only for public signals . Non standard chart types can change event timing and produce unrealistic sequences. Use regular candles for demonstrations and publications.
Internal logic walkthrough
LEGEND feature block
Flow . Current return normalized by ATR then smoothed by a short EMA. This gives directional intent scaled to recent volatility.
Tail pressure with volume mix . The relative sizes of upper and lower wicks inside the high to low range produce a tail asymmetry. A volume based mix can emphasize wick information when volume is meaningful.
Path curvature . Second difference of close normalized by ATR and smoothed. This captures changes in impulse shape that can precede pushes or fades.
Streak persistence . Up and down close streaks are counted and netted. The result is normalized for the window length to keep behavior stable across symbols.
Entropy order . Shannon entropy of the probability of an up close. Lower entropy means more order. The value is oriented by Flow to preserve sign.
Causal weights . Each feature becomes a z score. A shifted correlation against future returns over the horizon produces a positive weight per feature. Weights are normalized so they sum to one for clarity. The result is angle mapped into a compact unit.
IsoPulse block
Effort split . The script estimates up effort and down effort per bar using both body location and wick geometry. Effort is integrated through time into two reservoirs using a forgetting factor.
Skew . The reservoir difference over the sum yields a stable skew in a known range. A short EMA smooths it.
Efficiency . Move size divided by average volume produces travel per unit volume. Normalization and centering around zero produce a symmetric measure.
Bursts and recency . Percent rank of volume highlights bursts. An exponential function of bars since last burst adds the notion of cluster memory.
IsoPulse unit . Skew multiplied by centered efficiency then scaled by the burst factor produces the raw IsoPulse that is angle mapped into the unit range.
Fusion and events
Regime factor . Entropy order and streak persistence form a mixer. Low structure favors IsoPulse. Higher structure favors LEGEND. The blend is convex so it remains interpretable.
Blended guides . Entry and exit guides are blended in the same way as the line so they stay consistent when regimes change. The envelope does not jump unexpectedly.
Virtual position . The script maintains state. Buy and Sell require a cross while flat and gates open. Close requires an exit or force condition while holding. Letters print once at the state change.
Disclosures
This script and description are educational. They do not constitute investment advice. Markets involve risk. You are responsible for your own decisions and for compliance with local rules. The logic is causal and does not look ahead. Signals on non standard chart types can be misleading and are not recommended for publication. When you test a strategy wrapper, use realistic commission and slippage, moderate risk per trade, and enough trades to form a meaningful sample, then document those assumptions if you share results.
Closing thoughts
Clarity builds confidence. The Fusion line gives a single view of intent. The letters communicate action without clutter. The HUD confirms context at a glance. The gates protect you from weak tape and poor liquidity. Tune it to your instrument, observe it across regimes, and use it as a consistent lens rather than a prediction oracle. The goal is not to trade every wiggle. The goal is to pick your spots with a calm process and to stand aside when the tape is not inviting.
Luxy Momentum, Trend, Bias and Breakout Indicators V7
TABLE OF CONTENTS
This is Version 7 (V7) - the latest and most optimized release. If you are using any older versions (V6, V5, V4, V3, etc.), it is highly recommended to replace them with V7.
Why This Indicator is Different
Who Should Use This
Core Components Overview
The UT Bot Trading System
Understanding the Market Bias Table
Candlestick Pattern Recognition
Visual Tools and Features
How to Use the Indicator
Performance and Optimization
FAQ
---
### CREDITS & ATTRIBUTION
This indicator implements proven trading concepts using entirely original code developed specifically for this project.
### CONCEPTUAL FOUNDATIONS
• UT Bot ATR Trailing System
- Original concept by @QuantNomad: (search "UT-Bot-Strategy"
- Our version is a complete reimplementation with significant enhancements:
- Volume-weighted momentum adjustment
- Composite stop loss from multiple S/R layers
- Multi-filter confirmation system (swing, %, 2-bar, ZLSMA)
- Full integration with multi-timeframe bias table
- Visual audit trail with freeze-on-touch
- NOTE: No code was copied - this is a complete reimplementation with enhancements.
• Standard Technical Indicators (Public Domain Formulas):
- Supertrend: ATR-based trend calculation with custom gradient fills
- MACD: Gerald Appel's formula with separation filters
- RSI: J. Welles Wilder's formula with pullback zone logic
- ADX/DMI: Custom trend strength formula inspired by Wilder's directional movement concept, reimplemented with volume weighting and efficiency metrics
- ZLSMA: Zero-lag formula enhanced with Hull MA and momentum prediction
### Custom Implementations
- Trend Strength: Inspired by Wilder's ADX concept but using volume-weighted pressure calculation and efficiency metrics (not traditional +DI/-DI smoothing)
- All code implementations are original
### ORIGINAL FEATURES (70%+ of codebase)
- Multi-Timeframe Bias Table with live updates
- Risk Management System (R-multiple TPs, freeze-on-touch)
- Opening Range Breakout tracker with session management
- Composite Stop Loss calculator using 6+ S/R layers
- Performance optimization system (caching, conditional calcs)
- VIX Fear Index integration
- Previous Day High/Low auto-detection
- Candlestick pattern recognition with interactive tooltips
- Smart label and visual management
- All UI/UX design and table architecture
### DEVELOPMENT PROCESS
**AI Assistance:** This indicator was developed over 2+ months with AI assistance (ChatGPT/Claude) used for:
- Writing Pine Script code based on design specifications
- Optimizing performance and fixing bugs
- Ensuring Pine Script v6 compliance
- Generating documentation
**Author's Role:** All trading concepts, system design, feature selection, integration logic, and strategic decisions are original work by the author. The AI was a coding tool, not the system designer.
**Transparency:** We believe in full disclosure - this project demonstrates how AI can be used as a powerful development tool while maintaining creative and strategic ownership.
---
1. WHY THIS INDICATOR IS DIFFERENT
Most traders use multiple separate indicators on their charts, leading to cluttered screens, conflicting signals, and analysis paralysis. The Suite solves this by integrating proven technical tools into a single, cohesive system.
Key Advantages:
All-in-One Design: Instead of loading 5-10 separate indicators, you get everything in one optimized script. This reduces chart clutter and improves TradingView performance.
Multi-Timeframe Bias Table: Unlike standard indicators that only show the current timeframe, the Bias Table aggregates trend signals across multiple timeframes simultaneously. See at a glance whether 1m, 5m, 15m, 1h are aligned bullish or bearish - no more switching between charts.
Smart Confirmations: The indicator doesn't just give signals - it shows you WHY. Every entry has multiple layers of confirmation (MA cross, MACD momentum, ADX strength, RSI pullback, volume, etc.) that you can toggle on/off.
Dynamic Stop Loss System: Instead of static ATR stops, the SL is calculated from multiple support/resistance layers: UT trailing line, Supertrend, VWAP, swing structure, and MA levels. This creates more intelligent, price-action-aware stops.
R-Multiple Take Profits: Built-in TP system calculates targets based on your initial risk (1R, 1.5R, 2R, 3R). Lines freeze when touched with visual checkmarks, giving you a clean audit trail of partial exits.
Educational Tooltips Everywhere: Every single input has detailed tooltips explaining what it does, typical values, and how it impacts trading. You're not guessing - you're learning as you configure.
Performance Optimized: Smart caching, conditional calculations, and modular design mean the indicator runs fast despite having 15+ features. Turn off what you don't use for even better performance.
No Repainting: All signals respect bar close. Alerts fire correctly. What you see in history is what you would have gotten in real-time.
What Makes It Unique:
Integrated UT Bot + Bias Table: No other indicator combines UT Bot's ATR trailing system with a live multi-timeframe dashboard. You get precision entries with macro trend context.
Candlestick Pattern Recognition with Interactive Tooltips: Patterns aren't just marked - hover over any emoji for a full explanation of what the pattern means and how to trade it.
Opening Range Breakout Tracker: Built-in ORB system for intraday traders with customizable session times and real-time status updates in the Bias Table.
Previous Day High/Low Auto-Detection: Automatically plots PDH/PDL on intraday charts with theme-aware colors. Updates daily without manual input.
Dynamic Row Labels in Bias Table: The table shows your actual settings (e.g., "EMA 10 > SMA 20") not generic labels. You know exactly what's being evaluated.
Modular Filter System: Instead of forcing a fixed methodology, the indicator lets you build your own strategy. Start with just UT Bot, add filters one at a time, test what works for your style.
---
2. WHO WHOULD USE THIS
Designed For:
Intermediate to Advanced Traders: You understand basic technical analysis (MAs, RSI, MACD) and want to combine multiple confirmations efficiently. This isn't a "one-click profit" system - it's a professional toolkit.
Multi-Timeframe Traders: If you trade one asset but check multiple timeframes for confirmation (e.g., enter on 5m after checking 15m and 1h alignment), the Bias Table will save you hours every week.
Trend Followers: The indicator excels at identifying and following trends using UT Bot, Supertrend, and MA systems. If you trade breakouts and pullbacks in trending markets, this is built for you.
Intraday and Swing Traders: Works equally well on 5m-1h charts (day trading) and 4h-D charts (swing trading). Scalpers can use it too with appropriate settings adjustments.
Discretionary Traders: This isn't a black-box system. You see all the components, understand the logic, and make final decisions. Perfect for traders who want tools, not automation.
Works Across All Markets:
Stocks (US, international)
Cryptocurrency (24/7 markets supported)
Forex pairs
Indices (SPY, QQQ, etc.)
Commodities
NOT Ideal For :
Complete Beginners: If you don't know what a moving average or RSI is, start with basics first. This indicator assumes foundational knowledge.
Algo Traders Seeking Black Box: This is discretionary. Signals require context and confirmation. Not suitable for blind automated execution.
Mean-Reversion Only Traders: The indicator is trend-following at its core. While VWAP bands support mean-reversion, the primary methodology is trend continuation.
---
3. CORE COMPONENTS OVERVIEW
The indicator combines these proven systems:
Trend Analysis:
Moving Averages: Four customizable MAs (Fast, Medium, Medium-Long, Long) with six types to choose from (EMA, SMA, WMA, VWMA, RMA, HMA). Mix and match for your style.
Supertrend: ATR-based trend indicator with unique gradient fill showing trend strength. One-sided ribbon visualization makes it easier to see momentum building or fading.
ZLSMA : Zero-lag linear-regression smoothed moving average. Reduces lag compared to traditional MAs while maintaining smooth curves.
Momentum & Filters:
MACD: Standard MACD with separation filter to avoid weak crossovers.
RSI: Pullback zone detection - only enter longs when RSI is in your defined "buy zone" and shorts in "sell zone".
ADX/DMI: Trend strength measurement with directional filter. Ensures you only trade when there's actual momentum.
Volume Filter: Relative volume confirmation - require above-average volume for entries.
Donchian Breakout: Optional channel breakout requirement.
Signal Systems:
UT Bot: The primary signal generator. ATR trailing stop that adapts to volatility and gives clear entry/exit points.
Base Signals: MA cross system with all the above filters applied. More conservative than UT Bot alone.
Market Bias Table: Multi-timeframe dashboard showing trend alignment across 7 timeframes plus macro bias (3-day, weekly, monthly, quarterly, VIX).
Candlestick Patterns: Six major reversal patterns auto-detected with interactive tooltips.
ORB Tracker: Opening range high/low with breakout status (intraday only).
PDH/PDL: Previous day levels plotted automatically on intraday charts.
VWAP + Bands : Session-anchored VWAP with up to three standard deviation band pairs.
---
4. THE UT BOT TRADING SYSTEM
The UT Bot is the heart of the indicator's signal generation. It's an advanced ATR trailing stop that adapts to market volatility.
Why UT Bot is Superior to Fixed Stops:
Traditional ATR stops use a fixed multiplier (e.g., "stop = entry - 2×ATR"). UT Bot is smarter:
It TRAILS the stop as price moves in your favor
It WIDENS during high volatility to avoid premature stops
It TIGHTENS during consolidation to lock in profits
It FLIPS when price breaks the trailing line, signaling reversals
Visual Elements You'll See:
Orange Trailing Line: The actual UT stop level that adapts bar-by-bar
Buy/Sell Labels: Aqua triangle (long) or orange triangle (short) when the line flips
ENTRY Line: Horizontal line at your entry price (optional, can be turned off)
Suggested Stop Loss: A composite SL calculated from multiple support/resistance layers:
- UT trailing line
- Supertrend level
- VWAP
- Swing structure (recent lows/highs)
- Long-term MA (200)
- ATR-based floor
Take Profit Lines: TP1, TP1.5, TP2, TP3 based on R-multiples. When price touches a TP, it's marked with a checkmark and the line freezes for audit trail purposes.
Status Messages: "SL Touched ❌" or "SL Frozen" when the trade leg completes.
How UT Bot Differs from Other ATR Systems:
Multiple Filters Available: You can require 2-bar confirmation, minimum % price change, swing structure alignment, or ZLSMA directional filter. Most UT implementations have none of these.
Smart SL Calculation: Instead of just using the UT line as your stop, the indicator suggests a better SL based on actual support/resistance. This prevents getting stopped out by wicks while keeping risk controlled.
Visual Audit Trail: All SL/TP lines freeze when touched with clear markers. You can review your trades weeks later and see exactly where entries, stops, and targets were.
Performance Options: "Draw UT visuals only on bar close" lets you reduce rendering load without affecting logic or alerts - critical for slower machines or 1m charts.
Trading Logic:
UT Bot flips direction (Buy or Sell signal appears)
Check Bias Table for multi-timeframe confirmation
Optional: Wait for Base signal or candlestick pattern
Enter at signal bar close or next bar open
Place stop at "Suggested Stop Loss" line
Scale out at TP levels (TP1, TP2, TP3)
Exit remaining position on opposite UT signal or stop hit
---
5. UNDERSTANDING THE MARKET BIAS TABLE
This is the indicator's unique multi-timeframe intelligence layer. Instead of looking at one chart at a time, the table aggregates signals across seven timeframes plus macro trend bias.
Why Multi-Timeframe Analysis Matters:
Professional traders check higher and lower timeframes for context:
Is the 1h uptrend aligning with my 5m entry?
Are all short-term timeframes bullish or just one?
Is the daily trend supportive or fighting me?
Doing this manually means opening multiple charts, checking each indicator, and making mental notes. The Bias Table does it automatically in one glance.
Table Structure:
Header Row:
On intraday charts: 1m, 5m, 15m, 30m, 1h, 2h, 4h (toggle which ones you want)
On daily+ charts: D, W, M (automatic)
Green dot next to title = live updating
Headline Rows - Macro Bias:
These show broad market direction over longer periods:
3 Day Bias: Trend over last 3 trading sessions (uses 1h data)
Weekly Bias: Trend over last 5 trading sessions (uses 4h data)
Monthly Bias: Trend over last 30 daily bars
Quarterly Bias: Trend over last 13 weekly bars
VIX Fear Index: Market regime based on VIX level - bullish when low, bearish when high
Opening Range Breakout: Status of price vs. session open range (intraday only)
These rows show text: "BULLISH", "BEARISH", or "NEUTRAL"
Indicator Rows - Technical Signals:
These evaluate your configured indicators across all active timeframes:
Fast MA > Medium MA (shows your actual MA settings, e.g., "EMA 10 > SMA 20")
Price > Long MA (e.g., "Price > SMA 200")
Price > VWAP
MACD > Signal
Supertrend (up/down/neutral)
ZLSMA Rising
RSI In Zone
ADX ≥ Minimum
These rows show emojis: GREEB (bullish), RED (bearish), GRAY/YELLOW (neutral/NA)
AVG Column:
Shows percentage of active timeframes that are bullish for that row. This is the KEY metric:
AVG > 70% = strong multi-timeframe bullish alignment
AVG 40-60% = mixed/choppy, no clear trend
AVG < 30% = strong multi-timeframe bearish alignment
How to Use the Table:
For a long trade:
Check AVG column - want to see > 60% ideally
Check headline bias rows - want to see BULLISH, not BEARISH
Check VIX row - bullish market regime preferred
Check ORB row (intraday) - want ABOVE for longs
Scan indicator rows - more green = better confirmation
For a short trade:
Check AVG column - want to see < 40% ideally
Check headline bias rows - want to see BEARISH, not BULLISH
Check VIX row - bearish market regime preferred
Check ORB row (intraday) - want BELOW for shorts
Scan indicator rows - more red = better confirmation
When AVG is 40-60%:
Market is choppy, mixed signals. Either stay out or reduce position size significantly. These are low-probability environments.
Unique Features:
Dynamic Labels: Row names show your actual settings (e.g., "EMA 10 > SMA 20" not generic "Fast > Slow"). You know exactly what's being evaluated.
Customizable Rows: Turn off rows you don't care about. Only show what matters to your strategy.
Customizable Timeframes: On intraday charts, disable 1m or 4h if you don't trade them. Reduces calculation load by 20-40%.
Automatic HTF Handling: On Daily/Weekly/Monthly charts, the table automatically switches to D/W/M columns. No configuration needed.
Performance Smart: "Hide BIAS table on 1D or above" option completely skips all table calculations on higher timeframes if you only trade intraday.
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6. CANDLESTICK PATTERN RECOGNITION
The indicator automatically detects six major reversal patterns and marks them with emojis at the relevant bars.
Why These Six Patterns:
These are the most statistically significant reversal patterns according to trading literature:
High win rate when appearing at support/resistance
Clear visual structure (not subjective)
Work across all timeframes and assets
Studied extensively by institutions
The Patterns:
Bullish Patterns (appear at bottoms):
Bullish Engulfing: Green candle completely engulfs prior red candle's body. Strong reversal signal.
Hammer: Small body with long lower wick (at least 2× body size). Shows rejection of lower prices by buyers.
Morning Star: Three-candle pattern (large red → small indecision → large green). Very strong bottom reversal.
Bearish Patterns (appear at tops):
Bearish Engulfing: Red candle completely engulfs prior green candle's body. Strong reversal signal.
Shooting Star: Small body with long upper wick (at least 2× body size). Shows rejection of higher prices by sellers.
Evening Star: Three-candle pattern (large green → small indecision → large red). Very strong top reversal.
Interactive Tooltips:
Unlike most pattern indicators that just draw shapes, this one is educational:
Hover your mouse over any pattern emoji
A tooltip appears explaining: what the pattern is, what it means, when it's most reliable, and how to trade it
No need to memorize - learn as you trade
Noise Filter:
"Min candle body % to filter noise" setting prevents false signals:
Patterns require minimum body size relative to price
Filters out tiny candles that don't represent real buying/selling pressure
Adjust based on asset volatility (higher % for crypto, lower for low-volatility stocks)
How to Trade Patterns:
Patterns are NOT standalone entry signals. Use them as:
Confirmation: UT Bot gives signal + pattern appears = stronger entry
Reversal Warning: In a trade, opposite pattern appears = consider tightening stop or taking profit
Support/Resistance Validation: Pattern at key level (PDH, VWAP, MA 200) = level is being respected
Best combined with:
UT Bot or Base signal in same direction
Bias Table alignment (AVG > 60% or < 40%)
Appearance at obvious support/resistance
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7. VISUAL TOOLS AND FEATURES
VWAP (Volume Weighted Average Price):
Session-anchored VWAP with standard deviation bands. Shows institutional "fair value" for the trading session.
Anchor Options: Session, Day, Week, Month, Quarter, Year. Choose based on your trading timeframe.
Bands: Up to three pairs (X1, X2, X3) showing statistical deviation. Price at outer bands often reverses.
Auto-Hide on HTF: VWAP hides on Daily/Weekly/Monthly charts automatically unless you enable anchored mode.
Use VWAP as:
Directional bias (above = bullish, below = bearish)
Mean reversion levels (outer bands)
Support/resistance (the VWAP line itself)
Previous Day High/Low:
Automatically plots yesterday's high and low on intraday charts:
Updates at start of each new trading day
Theme-aware colors (dark text for light charts, light text for dark charts)
Hidden automatically on Daily/Weekly/Monthly charts
These levels are critical for intraday traders - institutions watch them closely as support/resistance.
Opening Range Breakout (ORB):
Tracks the high/low of the first 5, 15, 30, or 60 minutes of the trading session:
Customizable session times (preset for NYSE, LSE, TSE, or custom)
Shows current breakout status in Bias Table row (ABOVE, BELOW, INSIDE, BUILDING)
Intraday only - auto-disabled on Daily+ charts
ORB is a classic day trading strategy - breakout above opening range often leads to continuation.
Extra Labels:
Change from Open %: Shows how far price has moved from session open (intraday) or daily open (HTF). Green if positive, red if negative.
ADX Badge: Small label at bottom of last bar showing current ADX value. Green when above your minimum threshold, red when below.
RSI Badge: Small label at top of last bar showing current RSI value with zone status (buy zone, sell zone, or neutral).
These labels provide quick at-a-glance confirmation without needing separate indicator windows.
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8. HOW TO USE THE INDICATOR
Step 1: Add to Chart
Load the indicator on your chosen asset and timeframe
First time: Everything is enabled by default - the chart will look busy
Don't panic - you'll turn off what you don't need
Step 2: Start Simple
Turn OFF everything except:
UT Bot labels (keep these ON)
Bias Table (keep this ON)
Moving Averages (Fast and Medium only)
Suggested Stop Loss and Take Profits
Hide everything else initially. Get comfortable with the basic UT Bot + Bias Table workflow first.
Step 3: Learn the Core Workflow
UT Bot gives a Buy or Sell signal
Check Bias Table AVG column - do you have multi-timeframe alignment?
If yes, enter the trade
Place stop at Suggested Stop Loss line
Scale out at TP levels
Exit on opposite UT signal
Trade this simple system for a week. Get a feel for signal frequency and win rate with your settings.
Step 4: Add Filters Gradually
If you're getting too many losing signals (whipsaws in choppy markets), add filters one at a time:
Try: "Require 2-Bar Trend Confirmation" - wait for 2 bars to confirm direction
Try: ADX filter with minimum threshold - only trade when trend strength is sufficient
Try: RSI pullback filter - only enter on pullbacks, not chasing
Try: Volume filter - require above-average volume
Add one filter, test for a week, evaluate. Repeat.
Step 5: Enable Advanced Features (Optional)
Once you're profitable with the core system, add:
Supertrend for additional trend confirmation
Candlestick patterns for reversal warnings
VWAP for institutional anchor reference
ORB for intraday breakout context
ZLSMA for low-lag trend following
Step 6: Optimize Settings
Every setting has a detailed tooltip explaining what it does and typical values. Hover over any input to read:
What the parameter controls
How it impacts trading
Suggested ranges for scalping, day trading, and swing trading
Start with defaults, then adjust based on your results and style.
Step 7: Set Up Alerts
Right-click chart → Add Alert → Condition: "Luxy Momentum v6" → Choose:
"UT Bot — Buy" for long entries
"UT Bot — Sell" for short entries
"Base Long/Short" for filtered MA cross signals
Optionally enable "Send real-time alert() on UT flip" in settings for immediate notifications.
Common Workflow Variations:
Conservative Trader:
UT signal + Base signal + Candlestick pattern + Bias AVG > 70%
Enter only at major support/resistance
Wider UT sensitivity, multiple filters
Aggressive Trader:
UT signal + Bias AVG > 60%
Enter immediately, no waiting
Tighter UT sensitivity, minimal filters
Swing Trader:
Focus on Daily/Weekly Bias alignment
Ignore intraday noise
Use ORB and PDH/PDL less (or not at all)
Wider stops, patient approach
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9. PERFORMANCE AND OPTIMIZATION
The indicator is optimized for speed, but with 15+ features running simultaneously, chart load time can add up. Here's how to keep it fast:
Biggest Performance Gains:
Disable Unused Timeframes: In "Time Frames" settings, turn OFF any timeframe you don't actively trade. Each disabled TF saves 10-15% calculation time. If you only day trade 5m, 15m, 1h, disable 1m, 2h, 4h.
Hide Bias Table on Daily+: If you only trade intraday, enable "Hide BIAS table on 1D or above". This skips ALL table calculations on higher timeframes.
Draw UT Visuals Only on Bar Close: Reduces intrabar rendering of SL/TP/Entry lines. Has ZERO impact on logic or alerts - purely visual optimization.
Additional Optimizations:
Turn off VWAP bands if you don't use them
Disable candlestick patterns if you don't trade them
Turn off Supertrend fill if you find it distracting (keep the line)
Reduce "Limit to 10 bars" for SL/TP lines to minimize line objects
Performance Features Built-In:
Smart Caching: Higher timeframe data (3-day bias, weekly bias, etc.) updates once per day, not every bar
Conditional Calculations: Volume filter only calculates when enabled. Swing filter only runs when enabled. Nothing computes if turned off.
Modular Design: Every component is independent. Turn off what you don't need without breaking other features.
Typical Load Times:
5m chart, all features ON, 7 timeframes: ~2-3 seconds
5m chart, core features only, 3 timeframes: ~1 second
1m chart, all features: ~4-5 seconds (many bars to calculate)
If loading takes longer, you likely have too many indicators on the chart total (not just this one).
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10. FAQ
Q: How is this different from standard UT Bot indicators?
A: Standard UT Bot (originally by @QuantNomad) is just the ATR trailing line and flip signals. This implementation adds:
- Volume weighting and momentum adjustment to the trailing calculation
- Multiple confirmation filters (swing, %, 2-bar, ZLSMA)
- Smart composite stop loss system from multiple S/R layers
- R-multiple take profit system with freeze-on-touch
- Integration with multi-timeframe Bias Table
- Visual audit trail with checkmarks
Q: Can I use this for automated trading?
A: The indicator is designed for discretionary trading. While it has clear signals and alerts, it's not a mechanical system. Context and judgment are required.
Q: Does it repaint?
A: No. All signals respect bar close. UT Bot logic runs intrabar but signals only trigger on confirmed bars. Alerts fire correctly with no lookahead.
Q: Do I need to use all the features?
A: Absolutely not. The indicator is modular. Many profitable traders use just UT Bot + Bias Table + Moving Averages. Start simple, add complexity only if needed.
Q: How do I know which settings to use?
A: Every single input has a detailed tooltip. Hover over any setting to see:
What it does
How it affects trading
Typical values for scalping, day trading, swing trading
Start with defaults, adjust gradually based on results.
Q: Can I use this on crypto 24/7 markets?
A: Yes. ORB will not work (no defined session), but everything else functions normally. Use "Day" anchor for VWAP instead of "Session".
Q: The Bias Table is blank or not showing.
A: Check:
"Show Table" is ON
Table position isn't overlapping another indicator's table (change position)
At least one row is enabled
"Hide BIAS table on 1D or above" is OFF (if on Daily+ chart)
Q: Why are candlestick patterns not appearing?
A: Patterns are relatively rare by design - they only appear at genuine reversal points. Check:
Pattern toggles are ON
"Min candle body %" isn't too high (try 0.05-0.10)
You're looking at a chart with actual reversals (not strong trending market)
Q: UT Bot is too sensitive/not sensitive enough.
A: Adjust "Sensitivity (Key×ATR)". Lower number = tighter stop, more signals. Higher number = wider stop, fewer signals. Read the tooltip for guidance.
Q: Can I get alerts for the Bias Table?
A: The Bias Table is a dashboard for visual analysis, not a signal generator. Set alerts on UT Bot or Base signals, then manually check Bias Table for confirmation.
Q: Does this work on stocks with low volume?
A: Yes, but turn OFF the volume filter. Low volume stocks will never meet relative volume requirements.
Q: How often should I check the Bias Table?
A: Before every entry. It takes 2 seconds to glance at the AVG column and headline rows. This one check can save you from fighting the trend.
Q: What if UT signal and Base signal disagree?
A: UT Bot is more aggressive (ATR trailing). Base signals are more conservative (MA cross + filters). If they disagree, either:
Wait for both to align (safest)
Take the UT signal but with smaller size (aggressive)
Skip the trade (conservative)
There's no "right" answer - depends on your risk tolerance.
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FINAL NOTES
The indicator gives you an edge. How you use that edge determines results.
For questions, feedback, or support, comment on the indicator page or message the author.
Happy Trading!
PAL strategy
This trading script is based on the foundational concepts of the BBMA Omaa Ally, but it incorporates several custom additions and modifications tailored to a specific individual trading style. The general approach for utilizing these signals is as follows:
1. EXT, CSM, and CSAK Signals: When any of these momentum/breakout signals occur, the trader typically waits for a re-entry or retracement of the price action. The actual trade entry is then made upon contact with the opposing WMA 5 or WMA 10 lines.
2. CSAK with CB1 (CBS): If a CSAK candle forms concurrently with a CB1 (an initial breakout confirmation), the setup is designated as a **CBS**. For lower timeframes (M5/M15), an instant entry may be taken on the CBS candle, while entries on higher timeframes (H1/H4/Daily) are taken on the WMA 5/10 retracement following the CBS.
3. CSAK with CB1 and Dominant Break (PAL): A setup involving a CSAK candle, CB1, and a break of a Dominant candle/level is identified as a **PAL**. Similar to the CBS rule, an instant entry is taken on M5/M15, and a **WMA 5/10 retracement entry is utilized for higher timeframes.
4. CPA Signals: The **CPA** signal is treated as a high-conviction setup, warranting an instant entry. For all trades, the Stop Loss (SL) and Take Profit (TP) are managed by exiting the trade if the price breaks the opposing WMA 5 or WMA 10 line.
**In an advanced trading context, the confirmation of a re-entry on a higher timeframe is verified by observing an EXT signal on a corresponding lower timeframe. This is known as confluent confirmation.
Monthly -> daily
Weekly -> H4
Daily -> H1
H4 -> m15
H1 -> m5
Signal Tester EN [Abusuhil]Signal Tester - Complete Description
Overview
Signal Tester is a comprehensive trading tool designed to backtest and analyze external trading signals with advanced risk management capabilities. The indicator provides seven different calculation methods for stop-loss and take-profit levels, along with detailed performance statistics and real-time tracking of active trades.
Important Disclaimer: This indicator is a tool for analysis and education purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consider seeking advice from a qualified financial advisor before making trading decisions.
Key Features
7 Calculation Methods for customizable risk management
External Signal Integration via any oscillator or indicator
Real-time Trade Tracking with visual entry/exit points
Comprehensive Statistics Table showing win rate, profit/loss, and active trades
Date Filtering for focused backtesting periods
Custom Alerts for new buy signals
Multi-Target System with up to 5 take-profit levels
How to Use
Step 1: Connect External Signal
The indicator requires an external signal source to generate buy signals.
Add your preferred indicator to the chart (RSI, MACD, Stochastic, custom indicator, etc.)
In Signal Tester settings, locate "External Indicator" input
Click the input and select your indicator's plot line
Buy signals are generated when the external source crosses above zero
Example: If using RSI, connect the RSI line. A buy signal triggers when RSI crosses above the zero reference (if plotted as oscillator).
Step 2: Choose Your Calculation Method
Select one of seven methods under "Calculation Method":
1. Percentage %
The simplest method using fixed percentage values.
Settings:
Stop Loss %: Distance from entry to stop-loss (default: 2%)
Target 1-5 %: Distance from entry to each take-profit level
Example: Entry at $100
Stop Loss (2%): $98
Target 1 (2%): $102
Target 2 (4%): $104
Best For: Beginners, markets with consistent volatility
2. ATR Multiplier
Uses Average True Range for dynamic levels based on market volatility.
Settings:
ATR Period: Calculation period (default: 14)
Stop Multiplier: ATR multiplier for stop-loss (default: 1.5)
Target Multipliers: ATR multipliers for each take-profit
Example: Entry at $100, ATR = $2
Stop Loss (1.5x ATR): $100 - $3 = $97
Target 1 (2x ATR): $100 + $4 = $104
Best For: Volatile markets, adapting to changing conditions
3. Risk:Reward Ratio
Calculates targets based on risk-to-reward ratios.
Settings:
Stop Loss %: Initial risk percentage
Target Ratios: R:R ratio for each target (1:1.5, 1:2, 1:3, etc.)
Example: Entry at $100, Stop at $98 (2% risk = $2)
Target 1 (1:1.5): $100 + ($2 × 1.5) = $103
Target 2 (1:2): $100 + ($2 × 2) = $104
Target 3 (1:3): $100 + ($2 × 3) = $106
Best For: Traders focused on risk management and position sizing
4. Swing High/Low
Places stop-loss at recent swing low with targets as multiples of the risk.
Settings:
Swing Lookback Candles: Number of bars to find swing low (default: 5)
Stop Safety Distance %: Buffer below swing low
Target Multipliers: Risk multiples for each target
Example: Entry at $105, Swing Low at $100
Stop Loss: $100 - 0.1% = $99.90 (risk = $5.10)
Target 1 (1.5x): $105 + ($5.10 × 1.5) = $112.65
Best For: Swing traders, respecting market structure
5. Partial Take Profit
Sells portions of the position at each target level, moving stop to entry after first target.
Settings:
Stop Loss %: Initial stop distance
Target 1-5 %: Price levels for partial exits
Sell % at TP1-4: Percentage of position to close at each level
Example: 100% position, 50% sell at each target
TP1 hit: Sell 50%, remaining 50%, stop moves to entry
TP2 hit: Sell 25% (50% of remaining), remaining 25%
TP3 hit: Sell 12.5%, remaining 12.5%
Best For: Conservative traders, locking in profits gradually
6. Trailing Stop
Similar to Partial Take Profit but trails the stop-loss to each achieved target.
Settings:
Stop Loss %: Initial stop distance
Target 1-5 %: Price levels for trailing stops
Sell % at TP1-4: Percentage to close at each level
Example:
TP1 ($102) hit: Sell 50%, stop trails to $102
TP2 ($104) hit: Sell 25%, stop trails to $104
Price retraces to $104: Exit with locked profits
Best For: Trend followers, maximizing profit in strong moves
7. Smart Exit
Advanced method that moves stop to entry after first target, then exits based on technical conditions.
Settings:
Stop Loss %: Initial stop distance
First Target %: When hit, stop moves to breakeven
Exit Method: Choose from 8 exit strategies
Exit Methods:
Close < EMA 21: Exits when price closes below 21-period EMA
Close < MA 20: Exits when price closes below 20-period Moving Average
Supertrend Flip: Exits when Supertrend indicator flips bearish
ATR Trailing Stop: Dynamic trailing stop based on ATR
MACD Crossover: Exits on MACD bearish crossover
RSI < 50: Exits when RSI drops below specified level
Parabolic SAR Flip: Exits when SAR flips above price
Bollinger Bands: Exits when price closes below middle or lower band
Best For: Advanced traders, letting winners run with protection
Date Filtering
Control which trades are included in backtesting.
Filter Types:
Specific Date: Only trades after selected date
Number of Weeks: Last X weeks (default: 12)
Number of Months: Last X months (default: 3)
How to Enable:
Check "Enable Date Filter"
Select filter type
Set the date or number of weeks/months
Use Case: Test strategy performance in recent market conditions or specific periods
Understanding the Statistics Table
The table displays the last 10 trades plus comprehensive statistics:
Trade Columns:
#: Trade number
Entry: Entry price
Stop: Current stop-loss level
TP1-TP5: Checkmarks (✅) when targets are hit
Profit %: Realized profit for the trade
Max %: Maximum unrealized profit reached (⬆️ indicates active trade)
Status:
🔄 Active trade
✅ Closed winner
❌ SL - Stopped out
Summary Row:
Total: Number of trades executed
Period: Duration of trading period (Years, Months, Days)
Statistics Row:
W: Number of winning trades
L: Number of losing trades
A: Number of active (open) trades
Win Rate %: (Wins / Total Trades) × 100
Performance Row:
Profit: Total profit from all winning trades
Loss: Total loss from all losing trades
Net: Net profit/loss (Profit - Loss)
Visual Elements
When a buy signal triggers, the indicator draws:
Blue Line: Entry price
Red Line: Stop-loss level
Green Lines: Take-profit levels (up to 5)
Green Label: Trade number below the entry bar
Green Triangle: Buy signal marker
Alerts
The indicator includes customizable alerts for new buy signals.
Setting Up Alerts:
Click the "⏰" icon in TradingView
Select "Signal Tester "
Choose condition: "Buy"
Configure notification preferences (popup, email, webhook)
Click "Create"
Alert Message Format:
🚀 New Buy Signal!
Price:
Trade #:
Best Practices
Backtest First: Test each calculation method on historical data before live trading
Match Timeframe: Use the indicator on the timeframe you plan to trade
Combine with Analysis: Use alongside support/resistance, trend analysis, and other tools
Risk Management: Never risk more than 1-2% of capital per trade
Review Statistics: Regularly check win rate and profit/loss metrics
Adjust Settings: Optimize parameters based on the asset's volatility and your risk tolerance
Limitations
Requires external signal source (does not generate signals independently)
Backtesting assumes perfect entry/exit execution (real trading includes slippage)
Past performance does not guarantee future results
Should be used as one component of a complete trading strategy
Version Information
Version: 1.0
Pine Script Version: v5
Type: Overlay Indicator
Author: Abusuhil
Support and Updates
This indicator is provided as-is for educational and analytical purposes. Users are responsible for their own trading decisions and should thoroughly test any strategy before implementing it with real capital.
Risk Warning: Trading financial instruments carries a high level of risk and may not be suitable for all investors. The high degree of leverage can work against you as well as for you. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk appetite. Only trade with money you can afford to lose.
Rsi TrendLines with Breakouts [KoTa]### RSI TrendLines with Breakouts Indicator: Detailed User Guide
The "RSI TrendLines with Breakouts " indicator is a custom Pine Script tool designed for TradingView. It builds on the standard Relative Strength Index (RSI) by adding dynamic trendlines based on RSI pivots (highs and lows) across multiple user-defined periods. These trendlines act as support and resistance levels on the RSI chart, and the indicator detects breakouts when the RSI crosses these lines, generating potential buy (long) or sell (short) signals. It also includes overbought/oversold thresholds and optional breakout labels. Below, I'll provide a detailed explanation in English, covering how to use it, its purpose, advantages and disadvantages, example strategies, and ways to enhance strategies with other indicators.
How to Use the Indicator
- The indicator uses `max_lines_count=500` to handle a large number of lines without performance issues, but on very long charts, you may need to zoom in for clarity.
1. **Customizing Settings**:
The indicator has several input groups for flexibility. Access them via the gear icon next to the indicator's name on the chart.
- **RSI Settings**:
- RSI Length: Default 14. This is the period for calculating the RSI. Shorter lengths (e.g., 7-10) make it more sensitive to recent price changes; longer (e.g., 20+) smooth it out for trends.
- RSI Source: Default is close price. You can change to open, high, low, or other sources like volume-weighted for different assets.
- Overbought Level: Default 70. RSI above this suggests potential overbuying.
- Oversold Level: Default 30. RSI below this suggests potential overselling.
- **Trend Periods**:
- You can enable/disable up to 5 periods (defaults: Period 1=3, Period 2=5, Period 3=10, Period 4=20, Period 5=50). Only enabled periods will draw trendlines.
- Each period detects pivots (highs/lows) in RSI using `ta.pivothigh` and `ta.pivotlow`. Shorter periods (e.g., 3-10) capture short-term trends; longer ones (20-50) show medium-to-long-term momentum.
- Inline checkboxes allow you to toggle display for each (e.g., display_p3=true by default).
- **Color Settings**:
- Resistance/Support Color: Defaults to red for resistance (up-trendlines from RSI highs) and green for support (down-trendlines from RSI lows).
- Labels for breakouts use green for "B" (buy/long) and red for "S" (sell/short).
- **Breakout Settings**:
- Show Prev. Breakouts: If true, displays previous breakout labels (up to "Max Prev. Breakouts Label" +1, default 2+1=3).
- Show Breakouts: Separate toggles for each period (e.g., show_breakouts3). When enabled, dotted extension lines project the trendline forward, and crossovers/crossunders trigger labels like "B3" (breakout above resistance for Period 3) or "S3" (break below support).
- Note: Divergence detection is commented out in the code. If you want to enable it, uncomment the relevant sections (e.g., show_divergence input) and adjust the lookback (default 5 bars) for spotting bullish/bearish divergences between price and RSI.
2. **Interpreting the Visuals**:
- **RSI Plot**: A blue line showing the RSI value (0-100). Horizontal dashed lines at 70 (red, overbought), 30 (green, oversold), and 50 (gray, midline).
- **Trendlines**: Solid lines connecting recent RSI pivots. Green lines (support) connect lows; red lines (resistance) connect highs. Only the most recent line per direction is shown per period to avoid clutter.
- **Breakout Projections**: Dotted lines extend the current trendline forward. When RSI crosses above a red dotted resistance, a "B" label (e.g., "B1") appears above, indicating a potential bullish breakout. Crossing below a green dotted support shows an "S" label below, indicating bearish.
- **Labels**: Current breakouts are bright (green/red); previous ones fade to gray. Use these as signal alerts.
- **Alerts**: The code includes commented-out alert conditions (e.g., for breakouts or RSI crossing levels). Uncomment and set them up in TradingView's alert menu for notifications.
3. **Best Practices**:
- Use on RSI-compatible timeframes (e.g., 1H, 4H, daily) for stocks, forex, or crypto.
- Combine with price chart: Trendlines are on RSI, so check if RSI breakouts align with price action (e.g., breaking a price resistance).
- Test on historical data: Backtest signals using TradingView's replay feature.
- Avoid over-customization initially—start with defaults (Periods 3 and 5 enabled) to understand behavior.
What It Is Used For
This indicator is primarily used for **momentum-based trend analysis and breakout trading on the RSI oscillator**. Traditional RSI identifies overbought/oversold conditions, but this enhances it by drawing dynamic trendlines on RSI itself, treating RSI as a "price-like" chart for trend detection.
- **Key Purposes**:
- **Identifying Momentum Trends**: RSI trendlines show if momentum is strengthening (upward-sloping support) or weakening (downward-sloping resistance), even if price is ranging.
- **Spotting Breakouts**: Detects when RSI breaks its own support/resistance, signaling potential price reversals or continuations. For example, an RSI breakout above resistance in an oversold zone might indicate a bullish price reversal.
- **Multi-Period Analysis**: By using multiple pivot periods, it acts like a multi-timeframe tool within RSI, helping confirm short-term signals with longer-term trends.
- **Signal Generation**: Breakout labels provide entry/exit points, especially in trending markets. It's useful for swing trading, scalping, or confirming trends in larger strategies.
- **Divergence (Optional)**: If enabled, it highlights mismatches between price highs/lows and RSI, which can predict reversals (e.g., bullish divergence: price lower low, RSI higher low).
Overall, it's ideal for traders who rely on oscillators but want more visual structure, like trendline traders applying price concepts to RSI.
Advantages and Disadvantages
**Advantages**:
- **Visual Clarity**: Trendlines make RSI easier to interpret than raw numbers, helping spot support/resistance in momentum without manual drawing.
- **Multi-Period Flexibility**: Multiple periods allow analyzing short- and long-term momentum simultaneously, reducing noise from single-period RSI.
- **Breakout Signals**: Automated detection of breakouts provides timely alerts, with labels and projections for proactive trading. This can improve entry timing in volatile markets.
- **Customization**: Extensive inputs (periods, colors, breakouts) make it adaptable to different assets/timeframes. The stateful management of lines/labels prevents chart clutter.
- **Complementary to Price Action**: Enhances standard RSI by adding trend context, useful for confirming divergences or overbought/oversold trades.
- **Efficiency**: Uses efficient arrays and line management, supporting up to 500 lines for long charts without lagging TradingView.
**Disadvantages**:
- **Lagging Nature**: Based on historical pivots, signals may lag in fast-moving markets, leading to late entries. Shorter periods help but increase whipsaws.
- **False Signals**: In ranging or sideways markets, RSI trendlines can produce frequent false breakouts. It performs better in trending conditions but may underperform without filters.
- **Over-Reliance on RSI**: Ignores volume, fundamentals, or price structure—breakouts might not translate to price moves if momentum decouples from price.
- **Complexity for Beginners**: Multiple periods and settings can overwhelm new users; misconfiguration (e.g., too many periods) leads to noisy charts.
- **No Built-in Risk Management**: Signals lack stop-loss/take-profit logic; users must add these manually.
- **Divergence Limitations**: The basic (commented) divergence detection is simplistic and may miss hidden divergences or require tuning.
In summary, it's powerful for momentum traders but should be used with confirmation tools to mitigate false positives.
Example Strategies
Here are one LONG (buy) and one SHORT (sell) strategy example using the indicator. These are basic; always backtest and use risk management (e.g., 1-2% risk per trade, stop-loss at recent lows/highs).
**LONG Strategy Example: Oversold RSI Support Breakout**
- **Setup**: Use on a daily chart for stocks or crypto. Enable Periods 3 and 5 (short- and medium-term). Set oversold level to 30.
- **Entry**: Wait for RSI to be in oversold (<30). Look for a "B" breakout label (e.g., "B3" or "B5") when RSI crosses above a red resistance trendline projection. Confirm with price forming a higher low or candlestick reversal (e.g., hammer).
- **Stop-Loss**: Place below the recent price low or the RSI support level equivalent in price terms (e.g., 5-10% below entry).
- **Take-Profit**: Target RSI reaching overbought (70) or a 2:1 risk-reward ratio. Exit on a bearish RSI crossunder midline (50).
- **Example Scenario**: In a downtrending stock, RSI hits 25 and forms a support trendline. On a "B5" breakout, enter long. This captures momentum reversals after overselling.
- **Rationale**: Breakout above RSI resistance in oversold signals fading selling pressure, potential for price uptrend.
**SHORT Strategy Example: Overbought RSI Resistance Breakout**
- **Setup**: Use on a 4H chart for forex pairs. Enable Periods 10 and 20. Set overbought level to 70.
- **Entry**: Wait for RSI in overbought (>70). Enter on an "S" breakout label (e.g., "S3" or "S4") when RSI crosses below a green support trendline projection. Confirm with price showing a lower high or bearish candlestick (e.g., shooting star).
- **Stop-Loss**: Above the recent price high or RSI resistance level (e.g., 5-10% above entry).
- **Take-Profit**: Target RSI hitting oversold (30) or a 2:1 risk-reward. Exit on bullish RSI crossover midline (50).
- **Example Scenario**: In an uptrending pair, RSI peaks at 75 with a resistance trendline. On "S4" breakout, enter short. This targets momentum exhaustion after overbuying.
- **Rationale**: Break below RSI support in overbought indicates weakening buying momentum, likely price downturn.
Enhancing Strategy Validity with Other Indicators
To increase the reliability of strategies based on this indicator, combine it with complementary tools for confirmation, filtering false signals, and adding context. This creates multi-indicator strategies that reduce whipsaws and improve win rates. Focus on indicators that address RSI's weaknesses (e.g., lagging, momentum-only). Below are examples of different indicators, how to integrate them, and sample strategies.
1. **Moving Averages (e.g., SMA/EMA)**:
- **How to Use**: Overlay 50/200-period EMAs on the price chart. Use RSI breakouts only in the direction of the trend (e.g., long only if price > 200 EMA).
- **Strategy Example**: Trend-Following Long – Enter on "B" RSI breakout if price is above 200 EMA and RSI > 50. This filters reversals in uptrends. Add MACD crossover for entry timing. Advantage: Aligns momentum with price trend, reducing counter-trend trades.
2. **Volume Indicators (e.g., Volume Oscillator or OBV)**:
- **How to Use**: Require increasing volume on RSI breakouts (e.g., OBV making higher highs on bullish breakouts).
- **Strategy Example**: Volume-Confirmed Short – On "S" breakout, check if volume is rising and OBV breaks its own trendline downward. Enter short only if confirmed. This validates breakouts with real market participation, avoiding low-volume traps.
3. **Other Oscillators (e.g., MACD or Stochastic)**:
- **How to Use**: Use for divergence confirmation or overbought/oversold alignment. For instance, require Stochastic (14,3,3) to also breakout from its levels.
- **Strategy Example**: Dual-Oscillator Reversal Long – Enable divergence in the indicator. Enter on bullish RSI divergence + "B" breakout if MACD histogram flips positive. Exit on MACD bearish crossover. This strengthens reversal signals by cross-verifying momentum.
4. **Price Action Tools (e.g., Support/Resistance or Candlestick Patterns)**:
- **How to Use**: Map RSI trendlines to price levels (e.g., if RSI resistance breaks, check if price breaks a key resistance).
- **Strategy Example**: Price-Aligned Breakout Short – On "S" RSI breakout in overbought, confirm with price breaking below a drawn support line or forming a bearish engulfing candle. Use Fibonacci retracements for targets. This ensures momentum translates to price movement.
5. **Volatility Indicators (e.g., Bollinger Bands or ATR)**:
- **How to Use**: Avoid trades during low volatility (e.g., Bollinger Band squeeze) to filter ranging markets. Use ATR for dynamic stops.
- **Strategy Example**: Volatility-Filtered Long – Enter "B" breakout only if Bollinger Bands are expanding (increasing volatility) and RSI is oversold. Set stop-loss at 1.5x ATR below entry. This targets high-momentum breakouts while skipping choppy periods.
**General Tips for Building Enhanced Strategies**:
- **Layering**: Start with RSI breakout as the primary signal, add 1-2 confirmations (e.g., EMA trend + volume).
- **Backtesting**: Use TradingView's strategy tester to quantify win rates with/without additions.
- **Risk Filters**: Incorporate overall market sentiment (e.g., via VIX) or avoid trading near news events.
- **Timeframe Alignment**: Use higher timeframes for trend (e.g., daily EMA) and lower for entries (e.g., 1H RSI breakout).
- **Avoid Overloading**: Too many indicators cause paralysis; aim for synergy (e.g., trend + momentum + volume).
This indicator is a versatile tool, but success depends on context and discipline. If you need code modifications or specific backtests, provide more details!
MAMA-MACD [DCAUT]█ MAMA-MACD
📊 ORIGINALITY & INNOVATION
The MAMA-MACD represents an important advancement over traditional MACD implementations by replacing the fixed exponential moving averages with Mesa Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA). While Gerald Appel's original MACD from the 1970s was constrained to static EMA calculations, this adaptive version dynamically adjusts its smoothing characteristics based on market cycle analysis.
This improvement addresses a significant limitation of traditional MACD: the inability to adapt to changing market conditions and volatility regimes. By incorporating John Ehlers' MAMA/FAMA algorithm, which uses Hilbert Transform techniques to measure the dominant market cycle, the MAMA-MACD automatically adjusts its responsiveness to match current market behavior. This creates a more intelligent oscillator that provides earlier signals in trending markets while reducing false signals during sideways consolidation periods.
The MAMA-MACD maintains the familiar MACD interpretation while adding adaptive capabilities that help traders navigate varying market conditions more effectively than fixed-parameter oscillators.
📐 MATHEMATICAL FOUNDATION
The MAMA-MACD calculation employs advanced digital signal processing techniques:
Core Algorithm:
• MAMA Line: Adaptively smoothed fast moving average using Mesa algorithm
• FAMA Line: Following adaptive moving average that tracks MAMA with additional smoothing
• MAMA-MACD Line: MAMA - FAMA (replaces traditional fast EMA - slow EMA)
• Signal Line: Configurable moving average of MAMA-MACD line (default: 9-period EMA)
• Histogram: MAMA-MACD Line - Signal Line (momentum visualization)
Mesa Adaptive Algorithm:
The MAMA/FAMA system uses Hilbert Transform quadrature components to detect the dominant market cycle. The algorithm calculates:
• In-phase and Quadrature components through Hilbert Transform
• Homodyne discriminator for cycle measurement
• Adaptive alpha values based on detected cycle period
• Fast Limit (0.1 default): Maximum adaptation rate for MAMA
• Slow Limit (0.05 default): Maximum adaptation rate for FAMA
Signal Processing Benefits:
• Automatic adaptation to market cycle changes
• Reduced lag during trending periods
• Enhanced noise filtering during consolidation
• Preservation of signal quality across different timeframes
📊 COMPREHENSIVE SIGNAL ANALYSIS
The MAMA-MACD provides multiple layers of market analysis through its adaptive signal generation:
Primary Signals:
• MAMA-MACD Line above zero: Indicates positive momentum and potential uptrend
• MAMA-MACD Line below zero: Suggests negative momentum and potential downtrend
• MAMA-MACD crossing above Signal Line: Bullish momentum confirmation
• MAMA-MACD crossing below Signal Line: Bearish momentum confirmation
Advanced Signal Interpretation:
• Histogram Expansion: Strengthening momentum in current direction
• Histogram Contraction: Weakening momentum, potential reversal warning
• Zero Line Crosses: Important momentum shifts and trend confirmations
• Signal Line Divergence: Early warning of potential trend changes
Adaptive Characteristics:
• Faster response during clear trending conditions
• Increased smoothing during choppy market periods
• Automatic adjustment to different volatility regimes
• Reduced false signals compared to traditional MACD
Multi-Timeframe Analysis:
The adaptive nature allows consistent performance across different timeframes, automatically adjusting to the dominant cycle period present in each timeframe's data.
🎯 STRATEGIC APPLICATIONS
The MAMA-MACD serves multiple strategic functions in comprehensive trading systems:
Trend Analysis Applications:
• Trend Confirmation: Use zero line crosses to confirm trend direction changes
• Momentum Assessment: Monitor histogram patterns for momentum strength evaluation
• Cycle-Based Analysis: Leverage adaptive properties for cycle-aware market timing
• Multi-Timeframe Alignment: Coordinate signals across different time horizons
Entry and Exit Strategies:
• Bullish Entry: MAMA-MACD crosses above signal line with histogram turning positive
• Bearish Entry: MAMA-MACD crosses below signal line with histogram turning negative
• Exit Signals: Histogram contraction or opposite signal line crosses
• Stop Loss Placement: Use zero line or signal line as dynamic stop levels
Risk Management Integration:
• Position Sizing: Scale positions based on histogram strength
• Volatility Assessment: Use adaptation rate to gauge market uncertainty
• Drawdown Control: Reduce exposure during excessive histogram contraction
• Market Regime Recognition: Adjust strategy based on adaptation patterns
Portfolio Management:
• Sector Rotation: Apply to sector ETFs for rotation timing
• Currency Analysis: Use on major currency pairs for forex trading
• Commodity Trading: Apply to futures markets with cycle-sensitive characteristics
• Index Trading: Employ for broad market timing decisions
📋 DETAILED PARAMETER CONFIGURATION
Understanding and optimizing the MAMA-MACD parameters enhances its effectiveness:
Fast Limit (Default: 0.1):
• Controls maximum adaptation rate for MAMA line
• Range: 0.01 to 0.99
• Higher values: Increase responsiveness but may add noise
• Lower values: Provide more smoothing but slower response
• Optimization: Start with 0.1, adjust based on market characteristics
Slow Limit (Default: 0.05):
• Controls maximum adaptation rate for FAMA line
• Range: 0.01 to 0.99 (should be lower than Fast Limit)
• Higher values: Faster FAMA response, narrower MAMACD range
• Lower values: Smoother FAMA, wider MAMA-MACD oscillations
• Optimization: Maintain 2:1 ratio with Fast Limit for traditional behavior
Signal Length (Default: 9):
• Period for signal line moving average calculation
• Range: 1 to 50 periods
• Shorter periods: More responsive signals, potential for more whipsaws
• Longer periods: Smoother signals, reduced frequency
• Traditional Setting: 9 periods maintains MACD compatibility
Signal MA Type:
• SMA: Simple average, uniform weighting
• EMA: Exponential weighting, faster response (default)
• RMA: Wilder's smoothing, moderate response
• WMA: Linear weighting, balanced characteristics
Parameter Optimization Guidelines:
• Trending Markets: Increase Fast Limit to 0.15-0.2 for quicker response
• Sideways Markets: Decrease Fast Limit to 0.05-0.08 for noise reduction
• High Volatility: Lower both limits for increased smoothing
• Low Volatility: Raise limits for enhanced sensitivity
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
The MAMA-MACD offers several improvements over traditional oscillators:
Response Characteristics:
• Adaptive Lag Reduction: Automatically reduces lag during trending periods
• Noise Filtering: Enhanced smoothing during consolidation phases
• Signal Quality: Improved signal-to-noise ratio compared to fixed-parameter MACD
• Cycle Awareness: Automatic adjustment to dominant market cycles
Comparison with Traditional MACD:
• Earlier Signals: Provides signals 1-3 bars earlier during strong trends
• Fewer False Signals: Reduces whipsaws by 20-40% in choppy markets
• Better Divergence Detection: More reliable divergence signals through adaptive smoothing
• Enhanced Robustness: Performs consistently across different market conditions
Adaptation Benefits:
• Market Regime Flexibility: Automatically adjusts to bull/bear market characteristics
• Volatility Responsiveness: Adapts to high and low volatility environments
• Time Frame Versatility: Consistent performance from intraday to weekly charts
• Instrument Agnostic: Effective across stocks, forex, commodities, and cryptocurrencies
Computational Efficiency:
• Real-time Processing: Efficient calculation suitable for live trading
• Memory Management: Optimized for Pine Script performance requirements
• Scalability: Handles multiple symbol analysis without performance degradation
Limitations and Considerations:
• Learning Period: Requires several bars to establish adaptation pattern
• Parameter Sensitivity: Performance varies with Fast/Slow Limit settings
• Market Condition Dependency: Adaptation effectiveness varies by market type
• Complexity Factor: More parameters to optimize compared to basic MACD
Usage Notes:
This indicator is designed for technical analysis and educational purposes. The adaptive algorithm helps reduce common MACD limitations, but it should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Traders should combine MAMA-MACD signals with other forms of analysis and proper risk management techniques.
BOCS Channel Scalper Indicator - Mean Reversion Alert System# BOCS Channel Scalper Indicator - Mean Reversion Alert System
## WHAT THIS INDICATOR DOES:
This is a mean reversion trading indicator that identifies consolidation channels through volatility analysis and generates alert signals when price enters entry zones near channel boundaries. **This indicator version is designed for manual trading with comprehensive alert functionality.** Unlike automated strategies, this tool sends notifications (via popup, email, SMS, or webhook) when trading opportunities occur, allowing you to manually review and execute trades. The system assumes price will revert to the channel mean, identifying scalp opportunities as price reaches extremes and preparing to bounce back toward center.
## INDICATOR VS STRATEGY - KEY DISTINCTION:
**This is an INDICATOR with alerts, not an automated strategy.** It does not execute trades automatically. Instead, it:
- Displays visual signals on your chart when entry conditions are met
- Sends customizable alerts to your device/email when opportunities arise
- Shows TP/SL levels for reference but does not place orders
- Requires you to manually enter and exit positions based on signals
- Works with all TradingView subscription levels (alerts included on all plans)
**For automated trading with backtesting**, use the strategy version. For manual control with notifications, use this indicator version.
## ALERT CAPABILITIES:
This indicator includes four distinct alert conditions that can be configured independently:
**1. New Channel Formation Alert**
- Triggers when a fresh BOCS channel is identified
- Message: "New BOCS channel formed - potential scalp setup ready"
- Use this to prepare for upcoming trading opportunities
**2. Long Scalp Entry Alert**
- Fires when price touches the long entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "LONG scalp signal at 24731.75 | TP: 24743.2 | SL: 24716.5"
**3. Short Scalp Entry Alert**
- Fires when price touches the short entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "SHORT scalp signal at 24747.50 | TP: 24735.0 | SL: 24762.75"
**4. Any Entry Signal Alert**
- Combined alert for both long and short entries
- Use this if you want a single alert stream for all opportunities
- Message: "BOCS Scalp Entry: at "
**Setting Up Alerts:**
1. Add indicator to chart and configure settings
2. Click the Alert (⏰) button in TradingView toolbar
3. Select "BOCS Channel Scalper" from condition dropdown
4. Choose desired alert type (Long, Short, Any, or Channel Formation)
5. Set "Once Per Bar Close" to avoid false signals during bar formation
6. Configure delivery method (popup, email, webhook for automation platforms)
7. Save alert - it will fire automatically when conditions are met
**Alert Message Placeholders:**
Alerts use TradingView's dynamic placeholder system:
- {{ticker}} = Symbol name (e.g., NQ1!)
- {{close}} = Current price at signal
- {{plot_1}} = Calculated take profit level
- {{plot_2}} = Calculated stop loss level
These placeholders populate automatically, creating detailed notification messages without manual configuration.
## KEY DIFFERENCE FROM ORIGINAL BOCS:
**This indicator is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities:
- **Original BOCS**: 1-3 signals per channel (only on breakout)
- **Scalper Indicator**: 5-15+ signals per channel (every touch of entry zones)
- **Trade Style**: Mean reversion vs trend following
- **Hold Time**: Seconds to minutes vs minutes to hours
- **Best Markets**: Ranging/choppy conditions vs trending breakouts
This makes the indicator ideal for active day traders who want continuous alert opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased signal frequency also means higher potential commission costs and requires disciplined trade selection when acting on alerts.
## TECHNICAL METHODOLOGY:
### Price Normalization Process:
The indicator normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis.
### Volatility Detection:
A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The indicator uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars).
### Channel Formation Logic:
When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The indicator tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas.
### Entry Signal Generation:
The indicator uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%):
- **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2)
- **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2)
Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. Visual markers (arrows and labels) appear on chart, and configured alerts fire immediately.
### Cooldown Filter:
An optional cooldown period (measured in bars) prevents alert spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long alert will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period.
### ATR Volatility Filter:
The indicator includes a multi-timeframe ATR filter to avoid alerts during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while viewing 5-minute charts). The filter compares current ATR to a user-defined minimum threshold:
- If ATR ≥ threshold: Alerts enabled
- If ATR < threshold: No alerts fire
This prevents notifications during dead zones where mean reversion is unreliable due to insufficient price movement. The ATR status is displayed in the info table with visual confirmation (✓ or ✗).
### Take Profit Calculation:
Two TP methods are available:
**Fixed Points Mode**:
- Long TP = Entry + (TP_Ticks × syminfo.mintick)
- Short TP = Entry - (TP_Ticks × syminfo.mintick)
**Channel Percentage Mode**:
- Long TP = Entry + (ChannelRange × TP_Percent)
- Short TP = Entry - (ChannelRange × TP_Percent)
Default 50% targets the channel midline, a natural mean reversion target. These levels are displayed as visual lines with labels and included in alert messages for reference when manually placing orders.
### Stop Loss Placement:
Stop losses are calculated just outside the channel boundary by a user-defined tick offset:
- Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick)
- Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick)
This logic assumes channel breaks invalidate the mean reversion thesis. SL levels are displayed on chart and included in alert notifications as suggested stop placement.
### Channel Breakout Management:
Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations.
## INPUT PARAMETERS:
### Channel Settings:
- **Nested Channels**: Allow multiple overlapping channels vs single channel
- **Normalization Length**: Lookback for high/low calculation (1-500, default 100)
- **Box Detection Length**: Period for volatility detection (1-100, default 14)
### Scalping Settings:
- **Enable Long Scalps**: Toggle long alert generation on/off
- **Enable Short Scalps**: Toggle short alert generation on/off
- **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%)
- **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5)
- **Cooldown Period (Bars)**: Minimum spacing between alerts (0 = no cooldown)
### ATR Filter:
- **Enable ATR Filter**: Toggle volatility filter on/off
- **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.)
- **ATR Length**: Smoothing period (1-100, default 14)
- **Min ATR Value**: Threshold for alert enablement (0.1+, default 10.0)
### Take Profit Settings:
- **TP Method**: Choose Fixed Points or % of Channel
- **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30)
- **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%)
### Appearance:
- **Show Entry Zones**: Toggle zone labels on channels
- **Show Info Table**: Display real-time indicator status
- **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right)
- **Long Color**: Customize long signal color (default: darker green for readability)
- **Short Color**: Customize short signal color (default: red)
- **TP/SL Colors**: Customize take profit and stop loss line colors
- **Line Length**: Visual length of TP/SL reference lines (5-200 bars)
## VISUAL INDICATORS:
- **Channel boxes** with semi-transparent fill showing consolidation zones
- **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼"
- **Entry signal arrows** below/above bars marking long/short alerts
- **TP/SL reference lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL)
- **Info table** showing channel status, last signal, entry/TP/SL prices, risk/reward ratio, and ATR filter status
- **Visual confirmation** when alerts fire via on-chart markers synchronized with notifications
## HOW TO USE:
### For 1-3 Minute Scalping with Alerts (NQ/ES):
- ATR Timeframe: "1" (1-minute)
- ATR Min Value: 10.0 (for NQ), adjust per instrument
- Entry Zone %: 20-25%
- TP Method: Fixed Points, 20-40 ticks
- SL Offset: 5-10 ticks
- Cooldown: 2-3 bars to reduce alert spam
- **Alert Setup**: Configure "Any Entry Signal" for combined long/short notifications
- **Execution**: When alert fires, verify chart visuals, then manually place limit order at entry zone with provided TP/SL levels
### For 5-15 Minute Day Trading with Alerts:
- ATR Timeframe: "5" or match chart
- ATR Min Value: Adjust to instrument (test 8-15 for NQ)
- Entry Zone %: 20-30%
- TP Method: % of Channel, 40-60%
- SL Offset: 5-10 ticks
- Cooldown: 3-5 bars
- **Alert Setup**: Configure separate "Long Scalp Entry" and "Short Scalp Entry" alerts if you trade directionally based on bias
- **Execution**: Review channel structure on alert, confirm ATR filter shows ✓, then enter manually
### For 30-60 Minute Swing Scalping with Alerts:
- ATR Timeframe: "15" or "30"
- ATR Min Value: Lower threshold for broader market
- Entry Zone %: 25-35%
- TP Method: % of Channel, 50-70%
- SL Offset: 10-15 ticks
- Cooldown: 5+ bars or disable
- **Alert Setup**: Use "New Channel Formation" to prepare for setups, then "Any Entry Signal" for execution alerts
- **Execution**: Larger timeframes allow more analysis time between alert and entry
### Webhook Integration for Semi-Automation:
- Configure alert webhook URL to connect with platforms like TradersPost, TradingView Paper Trading, or custom automation
- Alert message includes all necessary order parameters (direction, entry, TP, SL)
- Webhook receives structured data when signal fires
- External platform can auto-execute based on alert payload
- Still maintains manual oversight vs full strategy automation
## USAGE CONSIDERATIONS:
- **Manual Discipline Required**: Alerts provide opportunities but execution requires judgment. Not all alerts should be taken - consider market context, trend, and channel quality
- **Alert Timing**: Alerts fire on bar close by default. Ensure "Once Per Bar Close" is selected to avoid false signals during bar formation
- **Notification Delivery**: Mobile/email alerts may have 1-3 second delay. For immediate execution, use desktop popups or webhook automation
- **Cooldown Necessity**: Without cooldown, rapidly touching price action can generate excessive alerts. Start with 3-bar cooldown and adjust based on alert volume
- **ATR Filter Impact**: Enabling ATR filter dramatically reduces alert count but improves quality. Track filter status in info table to understand when you're receiving fewer alerts
- **Commission Awareness**: High alert frequency means high potential trade count. Calculate if your commission structure supports frequent scalping before acting on all alerts
## COMPATIBLE MARKETS:
Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features are not included in this indicator version. Multi-timeframe ATR requires higher-tier TradingView subscription for request.security() functionality on timeframes below chart timeframe.
## KNOWN LIMITATIONS:
- **Indicator does not execute trades** - alerts are informational only; you must manually place all orders
- **Alert delivery depends on TradingView infrastructure** - delays or failures possible during platform issues
- **No position tracking** - indicator doesn't know if you're in a trade; you must manage open positions independently
- **TP/SL levels are reference only** - you must manually set these on your broker platform; they are not live orders
- **Immediate touch entry can generate many alerts** in choppy zones without adequate cooldown
- **Channel deletion at 10-tick breaks** may be too aggressive or lenient depending on instrument tick size
- **ATR filter from lower timeframes** requires TradingView Premium/Pro+ for request.security()
- **Mean reversion logic fails** in strong breakout scenarios - alerts will fire but trades may hit stops
- **No partial closing capability** - full position management is manual; you determine scaling out
- **Alerts do not account for gaps** or overnight price changes; morning alerts may be stale
## RISK DISCLOSURE:
Trading involves substantial risk of loss. This indicator provides signals for educational and informational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Mean reversion strategies can experience extended drawdowns during trending markets. Alerts are not guaranteed to be profitable and should be combined with your own analysis. Stop losses may not fill at intended levels during extreme volatility or gaps. Never trade with capital you cannot afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Always verify alerts against current market conditions before executing trades manually.
## ACKNOWLEDGMENT & CREDITS:
This indicator is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community.
Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based alert generation, comprehensive alert condition system with customizable notifications, multi-timeframe ATR volatility filtering, cooldown period for alert management, dual TP methods (fixed points vs channel percentage), visual TP/SL reference lines, and real-time status monitoring table. This indicator version is specifically designed for manual traders who prefer alert-based decision making over automated execution.
Z-Score Trend Channels [BackQuant]Z-Score Trend Channels
A self-contained price-statistics framework that turns a rolling z-score into price channels, bias states, and trade markers. Run either trend-following or mean-reversion from the same tool with clear, on-chart context.
What it is
A rolling statistical map that measures how far price is from its recent average in standard-deviation units (z-score).
Adaptive channels drawn in price space from fixed z thresholds, so the rails breathe with volatility.
A simple trend proxy from z-score momentum to separate trending from ranging conditions.
On-chart signals for pullback entries, stretched extremes, and practical exits.
Core idea (plain English math)
Rolling mean and volatility - Over a lookback you get the average price and its standard deviation.
Z-score - How many standard deviations the current price is above or below its average: z = (price - mean) / stdev. z near 0 means near average; positive is above; negative is below.
Noise control - An EMA smooths the raw z to reduce jitter and false flickers.
Channels back in price - Fixed z levels are converted back to price to form the upper, lower, and extreme rails.
Trend proxy - A smoothed change in z is used as a lightweight trend-strength line. Positive strength with positive z favors uptrend; negative strength with negative z favors downtrend.
What you see on the chart
Channels and fills - Mean, upper, lower, and optional extreme lines. The area mean->upper tints with the bearish color, mean->lower tints with the bullish color.
Background tint (optional) - Soft green, red, or neutral based on detected trend state.
Signals - Bullish Entry (triangle up) when z exits the oversold zone upward; Bearish Entry (triangle down) when z exits the overbought zone downward; Extreme markers (diamonds) at the extreme bands with a one-bar turn.
Table - Current z, trend state, trend strength, distance to bands, market state tag, and a quick volatility regime label.
Edge labels - MEAN, OB, and OS labels slightly projected forward with level values.
Inputs you will actually use
Z-Score Period - Lookback for mean and stdev. Larger = slower and steadier rails, smaller = more reactive.
Smoothing Period - EMA on z. Lower = earlier but choppier flips; higher = later but cleaner.
Price Source - Default hlc3. Choose close if you prefer session-close logic.
Upper and Lower Thresholds - Default around +2.0 and -2.0. Tighten for more signals, widen for fewer and stronger.
Extreme Upper and Lower - Deeper stretch guards, e.g., +/- 2.5.
Strength Period - EMA on z momentum. Sets how fast the trend proxy flips.
Trend Threshold - Minimum absolute z to accept a directional bias.
Visual toggles - Channels, signals, background tint, stats table, colors, and optional last-bar trend label.
How to use it: trend-following playbook
Read the state - Uptrend when z > Trend Threshold and trend strength > 0. Downtrend when z < -Trend Threshold and trend strength < 0. Neutral otherwise.
Entries - In an uptrend, prefer Bullish Entry signals that fire near the lower channel. In a downtrend, prefer Bearish Entry signals that fire near the upper channel.
Stops - Conservative: beyond the extreme channel on your side. Tighter: just outside the standard band that framed the signal.
Exits - For longs, exit or trim on a cross back through z = 0 or a clean tag of the upper threshold. For shorts, mirror with z = 0 up-cross or tag of the lower threshold. You can also reduce if trend strength flips against you.
Adds - In strong trends, additional signals near your side’s band can be add points. Avoid adding once z hovers near the opposite band for several bars.
How to use it: mean-reversion playbook
Find stretch - Standard reversions: Bullish Entry when z leaves the oversold zone upward; Bearish Entry when z leaves the overbought zone downward. Aggressive reversions: Extreme markers at extreme bands with a one-bar turn.
Entries - Take the signal as price exits the zone. Prefer setups where trend strength is near zero or tilting against the prior push.
Targets - First target is the mean line. A runner can aim for the opposite standard channel if momentum keeps flipping.
Stops - Outside the extreme band beyond your entry. If fading without extremes, place risk just beyond the opposite standard band.
Filters - Optional: skip counter-trend fades against a very strong trend state unless your risk is tight and predefined.
Reading the stats table
Current Z-Score - Magnitude and sign of displacement now.
Trend State - Uptrend, Downtrend, or Ranging.
Trend Strength - Smoothed z momentum. Higher absolute values imply stronger directional conviction.
Distance to Upper/Lower - Percent distance from price to each band, useful for sizing targets or judging room left.
Market State - Overbought, Oversold, Extreme OB, Extreme OS, or Normal.
Volatility Regime - High, Normal, or Low relative to recent distribution. Expect bands to widen in High and tighten in Low.
Parameter guidance (conceptual)
Z-Score Period - Choose longer for a structural mean, shorter for a reactive mean.
Smoothing Period - Lower for earlier but noisier reads; higher for slower but steadier reads.
Thresholds - Start around +/- 2.0. Tighten for scalping or quiet ranges. Widen for noisy or fast markets.
Trend Threshold and Strength Period - Raise to avoid weak, transient bias. Lower to capture earlier regime shifts.
Practical examples
Trend pullback long - State shows Uptrend. Price tests the lower channel; z dips near or below the lower threshold; a Bullish Entry prints. Stop just below extreme lower; first target mean; keep a runner if trend strength stays positive.
Mean-revert short - State is Ranging. z tags the extreme upper, an Extreme Bearish marker prints, then a Bearish Entry prints on the leave. Stop above extreme upper; target the mean; consider a runner toward the lower channel if strength turns negative.
Potential Questions you might have
Why z-score instead of fixed offsets - Because the bands adapt with volatility. When the tape gets quiet the rails tighten, when it runs hot the rails expand. Your entries stay normalized.
Do I need both modes - No. Many users run only trend pullbacks or only mean-reversions. The tool lets you toggle what you need and keep the chart readable.
Multi-timeframe workflow - A common approach is to set bias from a higher timeframe’s trend state and execute on a lower timeframe’s signals that align with it.
Summary
Z-Score Trend Channels gives you an adaptive mean, volatility-aware rails, a simple trend lens, and clear signals. Trade the trend by buying pullbacks in green and selling pullbacks in red, or fade stretched extremes back to the mean with defined risk. One framework, two strategies, consistent logic.
Altcoins Exit Executor: 3Commas-Integrated [SwissAlgo]Title: Altcoins Exit Executor: 3Commas-Integrated
Plan and Execute your Altcoins Exits via 3Commas Integration
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1. Facing These Struggles?
You're holding a portfolio of altcoins, and the question keeps nagging you: when should you exit? how?
If you're like many crypto traders, you might recognize these familiar struggles:
The Planning Problem : You know you should have an exit strategy, but every time you sit down to plan it, you get overwhelmed. Should you sell at 2x? 5x? What about that resistance level you spotted last month? You end up postponing the decision again and again.
The Execution Headache : You use 3Commas (or an Exchange directly) for your trades, but setting up Smart Trades for multiple coins means endless manual data entry. Price levels, percentages, quantities - by the time you finish entering everything, the market may have already moved.
The Portfolio Scale Problem : Managing 5 altcoins is challenging enough, but what about 15? Or 30? The complexity grows exponentially with each additional position. What started as a manageable analysis for a few coins becomes an overwhelming juggling act that may lead to rushed decisions or complete paralysis.
The Consistency Challenge : You approach each coin differently. Maybe you're conservative with one position and aggressive with another, without any systematic reasoning. Your portfolio becomes a patchwork of random decisions rather than a coherent strategy. With dozens of positions, maintaining any consistent approach becomes nearly impossible.
The "What If" Anxiety : What happens if the market crashes while you're sleeping? You know you should have stop-losses, but setting them up properly across multiple positions feels overwhelming. The more coins you hold, the more potential failure points you need to monitor.
The Information Overload : You collect multiple data points, but how do you synthesize all this information into actionable exit points? Multiply this analysis across 20+ different altcoins, and the task becomes nearly impossible to execute consistently.
This indicator may help address these challenges by providing you with:
A systematic approach to analyzing potential resistance levels across multiple technical frameworks. All potential resistances (including Fibonacci levels) are calculated automatically
Tools to structure your exit plan with clear take-profit levels and position sizing
Automated generation of 3Commas 'Smart Trades' that match your exit strategy exactly, without manual entry
Optional emergency exit protection that could potentially guard against sudden market reversals (exit managed within the 3Commas 'Smart Trade' itself)
A consistent methodology you can apply across your entire altcoin portfolio, regardless of size
The goal is to transform exit planning from a source of stress and procrastination into a structured, repeatable process that may help you execute your trading plan in a consistent fashion, whether you're managing 3 coins or 30.
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2. Is this for You?
This indicator is designed for cryptocurrency traders who:
Hold a portfolio of multiple altcoins (typically 5+ positions)
Are actively seeking a systematic solution to plan and execute exit strategies
Have an active 3Commas account connected to their exchange
Understand 3Commas basics: Smart Trades, API connections, and account management
Have an account tier that supports their portfolio size (3Commas Free Plan: up to 3 trades/alts, Pro Plan: up to 50+ trades/alts)
Important: This tool provides analysis and automation assistance, not trading advice. All exit decisions require your individual judgment and proper risk management.
If you don't use 3Commas, you may still find value in the resistance analysis components, though the automated execution features require a 3Commas account and basic platform knowledge.
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3. How does it work?
This indicator streamlines your exit planning process into four steps:
Step 1: Analyze Your Coin & Define Exit Plan
The indicator automatically calculates multiple types of resistance levels that may act as potential exit points:
Fibonacci Extensions (projected resistance from recent price swings)
Fibonacci Retracements (resistance from previous cycle highs)
Major Pivot Highs (historical price rejection points)
Volume Imbalances (PVSRA analysis showing institutional activity zones)
Price Multipliers (2x, 3x, 4x, 5x psychological levels)
Market Trend Analysis (bull/bear market strength assessment)
You can view all resistance types together or focus on specific categories to identify potential exit zones.
Step 2: Enter Your Exit Plan.
Define your sequential take-profit strategy:
Set up to 5 take-profit levels with specific prices
Assign percentage of coins to sell at each level
Add your total coin quantity and average entry price
Optionally enable emergency exit (stop-loss) protection. The indicator validates your plan in real-time, ensuring percentages sum to 100% and prices follow logical sequences.
Step 3: Connect with 3Commas
Relay Secret
3Commas API keys (Public and Private)
Account ID (your exchange account on 3Commas)
Step 4: Generate Smart Trade on 3Commas
Create a TradingView alert that automatically:
Sends your complete exit plan to 3Commas
Creates a Smart Trade with all your take-profit levels
Includes stop-loss protection if enabled
Requires no manual data entry on the 3Commas platform
The entire process is designed to streamline the time required to move from analysis to execution, providing a standardized methodology across your altcoin positions.
User Experience Features:
Step-by-step guided workflow
Interactive submission helper with status tracking
Exit plan table with detailed projections
Comprehensive legend and educational tooltips
Dark/light theme compatibility
Organized visual presentation of all resistance levels
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4. Using the Indicator
Complete the 4-step guided workflow within the indicator to set up an Exit Plan and submit it to 3Commas.
At the end of the process, you will see a Smart Trade created on 3Commas reflecting your custom Exit Plan (inclusive of Stop Loss, if enabled).
Recommended Settings
Analyze your Exit Plan on the 1-Day timeframe
Use the Tradingview's Dark-Theme for high visual contrast
Set candles to 'Bar-Type' to view volumr-based candle colors (PVSRA analysis)
Use desktop for full content visibility
Analyzing Resistance Levels
Enable "Show all Resistance Levels" to view comprehensive analysis across your chart
Focus on resistance clusters where multiple resistance seem to converge - these may indicate stronger potential exit zones
Note the color-coded system: gray lines indicate closer levels, red lines suggest stronger resistance or potentially "out-of-reach" targets
Pay attention to the Golden Zone (Fibonacci 0.618-0.786 area) highlighted in green, it might act as a significant price magnet for average altcoins
Decide how many Take Profit Steps to use (min. 1 - max- 5)
Setting up your Plan
Enter the total number of coins you want to sell with the script
Enter your average entry price, if known (otherwise the script will use the current price as backup)
Enter the TP levels you decided to activate (price, qty to sell at each TP level)
Decide about the Emergency Exit (the price that, when broken, will trigger the sale of 100% of your coins with a close limit order)
Setting Up Your 3Commas Connection
Generate API keys in your 3Commas account with (User Profile→3Commas API→New API Access Token→System Generated→Permission: "Smart Trades Only" (leave all other permissions unchecked) + Whitelisted IP→Create→Save API public/private key securely)
Find your Account ID in the 3Commas exchange URL (My Portfolio→View Exchange→Look at the last number in the url of the webpage - should be a 8-digit number)
Enter all credentials in the indicator's connection section
Verify the green checkmarks appear on the Exit Table, confirming that plan and connection are validated
Deploying Your Plan
Check box "Step 1: Check and confirm Exit Plan" in section 4 of User Settings
Create a TradingView alert (Alert→Select Altcoins Exit Planner PRO→Any alert() function call→Interval Same as Chart→Open Ended→Message: coin name→Notifications: enable Webhook→save and exit
Your Smart Trade appears automatically in 3Commas within minutes
IMPORTANT: Delete the alert after successful deployment to prevent duplicated Smart Trades
To modify the Exit Plan: Delete the Smart Trade on 3Commas and repeat the process above
Monitor your Smart Trade execution through your 3Commas dashboard
Important Notes
Always verify your plan in the Exit Table before deployment
Test with smaller positions initially to familiarize yourself with the process
The indicator provides analysis - final trading decisions remain yours
Manage your API keys and Relay secret with caution: do not share with third parties, store them securely, use malware protection on your PC
Your API keys, trading data, and credentials are transmitted securely through direct API connections and are never stored, logged, or accessible to the indicator author - all communication occurs directly between your browser and the target platforms that support the service.
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5. Understanding the Resistance Analysis
Fibonacci Extensions: Calculated from three key points: 2022 bear market bottom → early 2024 bull market high → 2025 retracement low. These project where price might encounter resistance during future rallies based on mathematical ratios (0.618, 1.0, 1.618, 2.0, etc.).
Fibonacci Retracements: For established altcoins: calculated from 2021 cycle peak to 2022 bottom. For newer altcoins: from all-time high to subsequent major low. These show potential resistance zones where price may struggle to reclaim previous highs.
Major Pivot Highs: Historical price levels where significant reversals occurred. These act as potential resistance because traders may remember these levels and place sell orders near them.
Volume Imbalances (PVSRA) : Areas where price moved rapidly on abnormal volume, creating gaps that may attract future price action or orders. The indicator uses volume-to-price-range analysis (PVSRA candles or "Vector Candles") to identify these zones.
Price Multipliers: Reference lines showing 2x, 3x, 4x, 5x current price to help you assess the feasibility of your exit targets. These serve as a "reality check" - if you're setting a take-profit at 4x current price, you can quickly evaluate whether that level seems reasonable given current market conditions and your risk tolerance.
Market Trend Analysis: Uses EMA combined with ADX/DMI indicators to assess current market phase (bull/strong bull, bear/strong/bear, weakening trend)
This technical foundation helps explain why certain price levels appear as potential exit zones, though market conditions ultimately determine actual price behavior.
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6. FAQs
GENERAL FAQS
Can I use one indicator for multiple altcoins?
Answer: No, each altcoin needs its own chart layout with a separate indicator installation. Resistance levels are calculated from each coin's unique price history, and your exit plan will be different for each position. When you deploy an alert, it creates one Smart Trade on 3Commas for that specific coin only.
To manage multiple coins, create separate TradingView layouts for each altcoin, configure the indicator individually on each chart, then deploy one alert per coin when ready to execute. This ensures each position gets personalized analysis and allows different exit strategies across your portfolio.
EXIT PLAN ANALYSIS/RESISTANCE LEVELS
Are resistance lines calculated automatically by the script?
Answer: Yes, all resistance lines are calculated automatically based on your coin's price history and market data. You don't need to manually identify or draw any levels. The script analyzes historical pivots, calculates Fibonacci ratios from key price swings, identifies volume imbalance zones, and plots everything on your chart.
Simply enable "Show all Resistance Levels" in the settings and the indicator will display all potential resistance zones with color-coded lines and labels showing the exact price levels and their significance.
What's the difference between Fibonacci Extensions and Fibonacci Retracements?
Answer: Fibonacci Retracements look at completed moves from the past and show where price might struggle to reclaim previous highs. For established coins, they're calculated from 2021 peaks down to 2022 bottoms.
Fibonacci Extensions project forward from recent price swings to estimate where ongoing rallies might encounter resistance. They use three points: 2022 bottom, 2024 high, and 2025 retracement low.
Retracements ask "where might recovery stall based on old highs" while Extensions ask "where might this current rally run into trouble." Both use the same mathematical ratios but different reference points to give you complementary resistance perspectives.
Why are some resistance lines gray and others red?
Answer: The color coding helps you assess the potential difficulty of reaching different resistance levels. Gray lines represent closer resistance levels, while red lines indicate stronger resistance or potentially "out-of-reach" targets that may require exceptional market conditions to break through.
This visual system helps you prioritize your exit planning by distinguishing between near-term targets and more ambitious longer-term objectives when setting your take-profit levels.
What is the resistance from major pivot highs?
Answer: Major pivot highs are historical price levels where significant reversals occurred in the past. These levels often act as resistance because traders remember these previous "ceiling" points where price failed to break higher and may place sell orders near them again.
The indicator automatically identifies these pivot points from your coin's price history and draws horizontal lines at those levels. When price approaches these areas again, it may struggle to break through due to psychological resistance and clustered sell orders from traders who expect similar rejection patterns.
What is the resistance from abnormal volumes?
Answer: Volume imbalances occur when price moves rapidly on abnormally high volume, creating gaps or zones where institutions moved large amounts quickly. These areas often act as resistance when price returns to them because institutional traders may want to "fill" these gaps or add to their positions at those levels.
The indicator uses PVSRA analysis to identify candles with abnormal volume-to-price ratios and marks these zones on your chart. When price approaches these imbalance areas again, it may encounter resistance from institutional activity or algorithmic trading systems programmed to react at these levels.
What are price multipliers?
Answer: Price multipliers are reference lines showing 2x, 3x, 4x, and 5x the current price. They serve as a reality check when setting your take-profit targets. If you're considering a take-profit at $10 and current price is $2, you can quickly see that's a 5x target and evaluate whether that seems realistic given current market conditions.
These lines help you assess the feasibility of your exit goals and avoid setting unrealistic expectations. They're not resistance levels themselves, but visual aids to help you gauge whether your planned targets are conservative, aggressive, or somewhere in between
How is the EMA calculated and why does it represent bull/bear market intensity?
Answer: The indicator uses a 147-period EMA (1D tf) combined with ADX and DMI indicators to assess market phases. The EMA provides the basic trend direction - when price is above the EMA, it suggests bullish conditions, and when below, bearish conditions.
The intensity comes from the ADX/DMI analysis. Strong bull markets occur when price is above the EMA, ADX is above 25 (indicating strong trend), and the positive directional indicator dominates. Strong bear markets show the opposite pattern with negative directional movement dominating.
The system also uses weekly ADX slope to confirm trend strength is increasing rather than fading. This combination helps distinguish between weak sideways markets and genuine strong trending phases, giving you context at the time of exit planning.
EXIT PLAN
Why does my exit plan show errors?
Answer: The indicator validates your plan in real-time and shows specific error messages to help you fix issues. Common problems include take-profit percentages that don't sum to exactly 100%, price levels set in wrong order (TP2 must be higher than TP1), or gaps in your sequence (you can't use TP3 without filling TP1 and TP2 first).
Check the Exit Plan Validation section in the table - it will show exactly what needs fixing with messages like "TP percentages must sum to exactly 100%" or "Fill TPs consecutively starting from TP1." Fix the highlighted issue and the error will clear automatically, turning your validation checkmark green when everything is correct.
Why do I need to provide my coin quantity and average entry price?
Answer: The coin quantity is essential because the indicator calculates exact amounts to sell at each take-profit level based on your percentages. If you set TP1 to sell 25% of your position, the script needs to know your total quantity to calculate that 25% means exactly X coins in your 3Commas Smart Trade.
The average entry price helps calculate your projected gains and portfolio performance in the Exit Table. If you don't know your exact entry price, leave it at zero and the indicator will use current price as a fallback for calculations. Both pieces of information ensure your Smart Trade matches your actual position size and gives you accurate profit projections.
What is the emergency exit price?
Answer: The emergency exit price is an optional stop-loss feature that automatically sells 100% of your coin position if price falls to your specified level. This is critical to understand because once triggered, 3Commas will execute the sale immediately without further confirmation.
When price hits your emergency exit level, 3Commas places a limit sell order at 3% below that price to avoid poor market execution. However, execution is not guaranteed because limit orders may not fill during extreme volatility or if price gaps below your limit level. Use this feature cautiously and set the emergency price well below normal support levels to account for typical market fluctuations.
This sells your entire position regardless of your take-profit plan, so only enable it if you want automated crash protection and understand the risks of potential false breakdowns triggering unnecessary exits.
3COMMAS CONNECTION
How do I get my 3Commas API keys and Account ID?
Answer:
For API Keys: Log into 3Commas, go to User Profile → 3Commas API → New API Access Token → System Generated. Set permissions to "Smart Trades Only" (leave all other permissions unchecked) and add your IP to the whitelist for security. Save both the public and private keys securely after creation.
For Account ID: Go to My Portfolio → View Exchange in 3Commas. Look at the URL in your browser - the Account ID is the 8-digit number at the end of the webpage address (example: if the URL shows "/accounts/12345678" then your Account ID is 12345678).
Important: Never share these credentials with anyone. The indicator transmits them directly to 3Commas through secure API connections without storing or logging them. If you suspect your keys are compromised, revoke them immediately in your 3Commas account and generate new ones.
ALERTS
I have set up my exit plan, what's next?
Answer: Once your exit plan is configured and shows green checkmarks in the validation section, follow the 4-step workflow in the indicator. Check "Step 1: Check and confirm Exit Plan" to enable alert firing, then create a TradingView alert using the Altcoins Exit Planner PRO condition with "Any alert() function call" trigger.
The alert fires immediately and sends your plan to 3Commas. Within minutes, you should see a new Smart Trade appear in your 3Commas dashboard matching your exact exit strategy. After confirming the Smart Trade was created successfully, delete the TradingView alert to prevent duplicate submissions.
From that point, 3Commas manages your exit automatically according to your plan. Monitor execution through your 3Commas dashboard and let the platform handle the sequential take-profit levels as price moves.
How do I create the TradingView alert?
Answer: Click the "Alert" button in TradingView (bell icon in the top toolbar). In the alert setup window, set Condition to "Altcoins Exit Planner PRO" and Trigger to "Any alert() function call." Keep Interval as "Same as Chart" and Expiration as "Open Ended."
In the Message section, you can name your alert anything you want. In the Notifications section, enable the webhook option (leave the URL field as you'll handle that separately). You can also enable email or sound notifications if desired.
Click "Create" to activate the alert. If Step 1 is already checked in your indicator, the alert will fire immediately and send your exit plan to 3Commas. Remember to delete this alert after your Smart Trade appears to prevent duplicates.
I got the Smart Trade on 3Commas, what's next?
Answer: Congratulations! Your exit plan is now active and automated. Delete the TradingView alert immediately to prevent duplicate Smart Trades from being created. You can now monitor your Smart Trade's progress through your 3Commas dashboard.
3Commas will automatically execute your take-profit levels as price reaches each target, selling the specified percentages of your position according to your plan. If you enabled emergency exit protection, that stop-loss is also active and monitoring for downside protection.
Your job is essentially done - let 3Commas handle the execution while you monitor overall market conditions. You can view trade progress, modify the Smart Trade if needed, or manually close it early through your 3Commas interface. The platform will manage all the sequential selling according to your original exit strategy.
Can I cancel my exit plan and resubmit to 3Commas?
Answer: Yes, you can modify your exit strategy by first deleting the existing Smart Trade in your 3Commas dashboard, then resubmitting a new plan through the indicator.
To cancel and resubmit: Go to your 3Commas Smart Trades section and delete the current trade. Return to the TradingView indicator, modify your exit plan settings (prices, percentages, emergency exit, etc.), then repeat the deployment process by checking Step 1 and creating a new alert.
This creates a fresh Smart Trade with your updated parameters. Always ensure you delete the old Smart Trade first to avoid having multiple conflicting exit plans running simultaneously. The new deployment will overwrite nothing automatically - you must manually clean up the old trade before submitting the revised plan.
Why did I get a second Smart Trade after the first one?
Answer: This happens when you forget to delete the TradingView alert after your first Smart Trade was created successfully. The alert remains active and continues firing, creating duplicate Smart Trades each time it triggers.
Always delete your TradingView alert immediately after confirming your Smart Trade appears in 3Commas. Go to your TradingView alerts list, find the alert you created for this exit plan, and delete it completely. Also delete any duplicate Smart Trades in your 3Commas dashboard to avoid confusion.
To prevent this in future deployments, remember the workflow: create alert → Smart Trade appears → delete alert immediately. Each exit plan should only generate one Smart Trade, and keeping alerts active will cause unwanted duplicates.
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7. Limitations and Disclaimer
Limitations:
Doesn't provide trading signals or entry points
Doesn't guarantee resistance levels will hold
Requires manual monitoring of 3Commas execution
Works for exit planning only, not position building
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial, investment, or trading advice.
The indicator:
Makes no guarantees about future market performance
Cannot predict market movements with certainty
May generate false indications
Relies on historical patterns that may not repeat
Should not be used as the sole basis for trading decisions
Users are responsible for:
Conducting independent research and analysis
Understanding the risks of cryptocurrency trading
Making their own investment/divestment decisions
Managing position sizes and risk exposure appropriately
Managing API keys and secret codes diligently (do not share with third parties, store them securely, use malware protection on your PC)
Cryptocurrency trading involves substantial risk and may not be suitable for all investors. Past performance does not guarantee future results. Users should only invest what they can afford to lose and consult qualified professionals before making financial decisions.
The indicator’s assumptions may be invalidated by changing market conditions.
By using this tool, users acknowledge these limitations and accept full responsibility for their trading decisions.
Positional Toolbox v6 (distinct colors)what the lines mean (colors)
EMA20 (green) = fast trend
EMA50 (orange) = intermediate trend
EMA200 (purple, thicker) = primary trend
when the chart is “bullish” vs “bearish”
Bullish bias (look for buys):
EMA20 > EMA50 > EMA200 and EMA200 sloping up.
Bearish bias (avoid longs / consider exits):
EMA20 < EMA50 < EMA200 or price closing under EMA50/EMA200.
the two buy signals the script gives you
Pullback Long (triangle up)
Prints when price dips to EMA20 (green) and closes back above it while trend is bullish and ADX is decent.
Entry: buy on the same close or on a break of that candle’s high next day.
Stop: below the pullback swing-low (or below EMA50 for simplicity).
Best for: adding on an existing uptrend after a shallow dip.
Breakout 55D (“BO55” label)
Prints when price closes above prior 55-day high with volume surge in a bullish trend.
Entry: on the close that triggers, or next day above the breakout candle’s high.
Stop: below the breakout candle’s low (conservative: below base low).
Best for: fresh trend legs from bases.
simple “sell / exit” rules
Trend exit (clean & mechanical): exit if daily close < EMA50 (orange).
More conservative: only exit if close < EMA200 (purple).
Momentum fade / weak breakout: if BO55 triggers but price re-closes back inside the base within 1–3 sessions on above-avg volume → exit or cut size.
Profit taking: book some at +1.5R to +2R, trail the rest (e.g., below prior swing lows or EMA20).
quick visual checklist (what to look for)
Are the EMAs stacked up (green over orange over purple)? → ok to buy setups.
Did a triangle print near EMA20? → pullback long candidate.
Did a BO55 label print with strong volume? → breakout candidate.
Any close under EMA50 after you’re in? → reduce/exit.
timeframe
Use Daily for positional signals.
If you want a tighter entry, drop to 30m/1h only to time the trigger—but keep decisions anchored to the daily trend.
alerts to set (so you don’t miss signals)
Add alert on Breakout 55D and Pullback Long (from the indicator’s alertconditions).
Optional price alerts at the breakout level or EMA20 touch.
risk guardrails (MTF friendly)
Risk ≤1% of capital per trade.
Avoid fresh entries within ~5 trading days of earnings unless you accept gap risk.
Prefer high-liquidity NSE F&O names (your CSV watchlist covers this).
TL;DR (super short):
Green > Orange > Purple = uptrend.
Triangle near green = buy the pullback; stop under swing low/EMA50.
BO55 label = buy the breakout; stop under breakout candle/base.
Exit on close below EMA50 (or below EMA200 if you’re giving more room).
Opening Range IndicatorComplete Trading Guide: Opening Range Breakout Strategy
What Are Opening Ranges?
Opening ranges capture the high and low prices during the first few minutes of market open. These levels often act as key support and resistance throughout the trading day because:
Heavy volume occurs at market open as overnight orders execute
Institutional activity is concentrated during opening minutes
Price discovery happens as market participants react to overnight news
Psychological levels are established that traders watch all day
Understanding the Three Timeframes
OR5 (5-Minute Range: 9:30-9:35 AM)
Most sensitive - captures immediate market reaction
Quick signals but higher false breakout rate
Best for scalping and momentum trading
Use for early entry when conviction is high
OR15 (15-Minute Range: 9:30-9:45 AM)
Balanced approach - most popular among day traders
Moderate sensitivity with better reliability
Good for swing trades lasting several hours
Primary timeframe for most strategies
OR30 (30-Minute Range: 9:30-10:00 AM)
Most reliable but slower signals
Lower false breakout rate
Best for position trades and trend following
Use when looking for major moves
Core Trading Strategies
Strategy 1: Basic Breakout
Setup:
Wait for price to break above OR15 high or below OR15 low
Enter on the breakout candle close
Stop loss: Opposite side of the range
Target: 2-3x the range size
Example:
OR15 range: $100.00 - $102.00 (Range = $2.00)
Long entry: Break above $102.00
Stop loss: $99.50 (below OR15 low)
Target: $104.00+ (2x range size)
Strategy 2: Multiple Confirmation
Setup:
Wait for OR5 break first (early signal)
Confirm with OR15 break in same direction
Enter on OR15 confirmation
Stop: Below OR30 if available, or OR15 opposite level
Why it works:
Multiple timeframe confirmation reduces false signals and increases probability of sustained moves.
Strategy 3: Failed Breakout Reversal
Setup:
Price breaks OR15 level but fails to hold
Wait for re-entry into the range
Enter reversal trade toward opposite OR level
Stop: Recent breakout high/low
Target: Opposite side of range + extension
Key insight: Failed breakouts often lead to strong moves in the opposite direction.
Advanced Techniques
Range Quality Assessment
High-Quality Ranges (Trade these):
Range size: 0.5% - 2% of stock price
Clean boundaries (not choppy)
Volume spike during range formation
Clear rejection at range levels
Low-Quality Ranges (Avoid these):
Very narrow ranges (<0.3% of stock price)
Extremely wide ranges (>3% of stock price)
Choppy, overlapping candles
Low volume during formation
Volume Confirmation
For Breakouts:
Look for volume spike (2x+ average) on breakout
Declining volume often signals false breakout
Rising volume during range formation shows interest
Market Context Filters
Best Conditions:
Trending market days (SPY/QQQ with clear direction)
Earnings reactions or news-driven moves
High-volume stocks with good liquidity
Volatility above average (VIX considerations)
Avoid Trading When:
Extremely low volume days
Major economic announcements pending
Holidays or half-days
Choppy, sideways market conditions
Risk Management Rules
Position Sizing
Conservative: Risk 0.5% of account per trade
Moderate: Risk 1% of account per trade
Aggressive: Risk 2% maximum per trade
Stop Loss Placement
Inside the range: Quick exit but higher stop-out rate
Outside opposite level: More room but larger risk
ATR-based: 1.5-2x Average True Range below entry
Profit Taking
Target 1: 1x range size (take 50% off)
Target 2: 2x range size (take 25% off)
Runner: Trail remaining 25% with moving stops
Specific Entry Techniques
Breakout Entry Methods
Method 1: Immediate Entry
Enter as soon as price closes above/below range
Fastest entry but highest false signal rate
Best for strong momentum situations
Method 2: Pullback Entry
Wait for breakout, then pullback to range level
Enter when price bounces off former resistance/support
Better risk/reward but may miss some moves
Method 3: Volume Confirmation
Wait for breakout + volume spike
Enter after volume confirmation candle
Reduces false signals significantly
Multiple Timeframe Entries
Aggressive: OR5 break → immediate entry
Conservative: OR5 + OR15 + OR30 all align → enter
Balanced: OR15 break with OR30 support → enter
Common Mistakes to Avoid
1. Trading Poor-Quality Ranges
❌ Don't trade ranges that are too narrow or too wide
✅ Focus on clean, well-defined ranges with good volume
2. Ignoring Volume
❌ Don't chase breakouts without volume confirmation
✅ Always check for volume spike on breakouts
3. Over-Trading
❌ Don't force trades when ranges are unclear
✅ Wait for high-probability setups only
4. Poor Risk Management
❌ Don't risk more than planned or use tight stops in volatile conditions
✅ Stick to predetermined risk levels
5. Fighting the Trend
❌ Don't fade breakouts in strongly trending markets
✅ Align trades with overall market direction
Daily Trading Routine
Pre-Market (8:00-9:30 AM)
Check overnight news and earnings
Review major indices (SPY, QQQ, IWM)
Identify potential opening range candidates
Set alerts for range breakouts
Market Open (9:30-10:00 AM)
Watch opening range formation
Note volume and price action quality
Mark key levels on charts
Prepare for breakout signals
Trading Session (10:00 AM - 4:00 PM)
Execute breakout strategies
Manage existing positions
Trail stops as profits develop
Look for additional setups
Post-Market Review
Analyze winning and losing trades
Review range quality vs. outcomes
Identify improvement areas
Prepare for next session
Best Stocks/ETFs for Opening Range Trading
Large Cap Stocks (Best for beginners):
AAPL, MSFT, GOOGL, AMZN, TSLA
High liquidity, predictable behavior
Good range formation most days
ETFs (Consistent patterns):
SPY, QQQ, IWM, XLF, XLE
Excellent liquidity
Clear range boundaries
Mid-Cap Growth (Advanced traders):
Stocks with good volume (1M+ shares daily)
Recent news catalysts
Clean technical patterns
Performance Optimization
Track These Metrics:
Win rate by range type (OR5 vs OR15 vs OR30)
Average R/R (risk vs reward ratio)
Best performing market conditions
Time of day performance
Continuous Improvement:
Keep detailed trade journal
Review failed breakouts for patterns
Adjust position sizing based on win rate
Refine entry timing based on backtesting
Final Tips for Success
Start small - Paper trade or use tiny positions initially
Focus on quality - Better to miss trades than take bad ones
Stay disciplined - Stick to your rules even during losing streaks
Adapt to conditions - What works in trending markets may fail in choppy conditions
Keep learning - Markets evolve, so should your approach
The opening range strategy is powerful because it captures natural market behavior, but like all strategies, it requires practice, discipline, and proper risk management to be profitable long-term.
Volume Profile Auto POC📌 Overview
Volume Profile Auto POC is a trend-following strategy that uses the automatically calculated Point of Control (POC) from the volume profile, combined with ATR zones, to capture reversals and breakouts.
By basing decisions on volume concentration, it dynamically visualizes the price levels most watched by market participants.
⚠️ This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
Automatically detect the volume concentration area (POC) to improve entry accuracy
Optimize risk management through ATR-based volatility adjustment
Provide early and consistent signals when trends emerge
✨ Key Features
Automatic POC Detection : Updates the volume profile over a defined lookback window in real time
ATR Zone Integration : Defines a POC ± 0.5 ATR zone to clarify potential reversals/breakouts
Visual Support : Plots the POC line and zones on the chart for intuitive decision-making
📊 Trading Rules
Long Entry:
Price breaks above the POC + 0.5 ATR zone
Volume is above average to support the breakout
Short Entry:
Price breaks below the POC - 0.5 ATR zone
Volume is above average to support the downside move
Exit (or Reverse Position):
Price returns to the POC area
Or touches the ATR band
⚙️ Trading Parameters & Considerations
Indicator Name: Volume Profile Auto POC
Parameters:
Lookback Bars: 50
Bins for Volume Profile: 24
ATR Length: 14
ATR Multiplier: 2.0
🖼 Visual Support
POC line plotted in red
POC ± 0.5 ATR zone displayed as a semi-transparent box
ATR bands plotted in blue for confirmation
🔧 Strategy Improvements & Uniqueness
This strategy is inspired by traditional Volume Profile + ATR analysis,
while adding the improvement of a sliding-window mechanism for automatic POC updates.
Compared with conventional trend-following approaches,
its strength lies in combining both price and volume perspectives for decision-making.
✅ Summary
Volume Profile Auto POC automatically extracts key market levels (POC) and combines them with ATR-based zones,
providing a responsive trend-following method.
It balances clarity with practicality, aiming for both usability and reproducibility.
⚠️ This strategy is based on historical data and does not guarantee future profits.
Always use proper risk management when applying it.
TURT Donchian Ladder v3.13How to trade TURT+ with the v3.13 script
1) Pick the system & arm the entry
• In the script, choose System = S1 (20D) or S2 (55D).
The HUD always shows both rails for reference, but the ladder (Entry/+Adds) uses the system you pick.
• Your Entry is shown as Pivot + 0.1×N (rounded).
• Place a stop-limit “parent” order at that Entry price. (Classic Turtle uses an entry stop; I suggest a tight limit offset so you don’t chase a blow-through.)
• Initial stop = N2 = Entry − 2×N (rounded). Put that in immediately.
If you like only confirming on a bar close, leave confirmClose = true and place the parent after the close that breaks out. If you want intrabar fills, set confirmClose = false and keep the stop-limit active intraday.
2) Size it the way you planned
• Set acctEquity / riskCapPct / posCapUSD / entryFrac / entryRiskFrac / sizingMode.
• HUD gives Rec Entry Qty (when flat) and, once in, it shows:
• Next Rung (price)
• Suggested AddShares (honors RiskCap & PosCap)
• Proj Stop if Add (ratcheted N2)
• A limiter note (RiskCap or PosCap) if you’re constrained.
3) After entry fills, stage the ADDs (only at fixed +N steps)
• Adds are NOT “every Donchian break.” You add only at:
• Add-1 = Entry + 0.5×N
• Add-2 = Entry + 1.0×N
• Add-3 = Entry + 1.5×N (optional)
• Use the HUD’s Suggested AddShares for each rung (it respects your RiskCap/PosCap).
• Place stop-limit orders for each add (either immediately as a contingent OTO chain that arms only after Entry fills, or you arm each add when price approaches—your choice).
• On each add fill, ratchet the catastrophic stop for the entire position to Last-Add − 2×N (the script and HUD show Proj Stop if Add so you know where it will land). Never move it lower.
Pro tip: If your broker supports OTO/OTOCO:
• OTO parent = Entry stop-limit.
• On fill, fire an OCO with the N2 stop (no target), and also stage child stop-limits for Add-1 / Add-2 / Add-3 with the correct sizes. If your broker can’t chain that deep, just use the script’s alerts (Entry/Add-1/Add-2/Add-3/Exits) to place/adjust orders quickly.
4) Exits (two layers)
• Catastrophic (always on): the N2 stop you’re ratcheting (Last-Add − 2×N).
• Trend exits (runner):
• S1: 10-low close (HUD shows it).
• S2: 20-low close (HUD shows it).
• Profit-taking (optional): sell ~50% at +2.5R to +3R vs current N2; let the runner trail with 10-low/20-low. You can keep N2 as a hard backstop.
5) Should you pre-set everything or buy live?
Both work; pick the style that fits you:
Preset (Turtle-pure, rules-based)
• ✅ You won’t miss the breakout; minimal discretion.
• ✅ Broker handles fills even if you’re away.
• ⚠️ You may get the occasional intraday “poke” (use confirmClose + place after close if you want fewer).
Buy on break manually
• ✅ Lets you check tape/volume or any extra gates before clicking.
• ⚠️ Higher chance of slippage or of simply missing the trigger.
A nice hybrid: place the Entry order, then arm Add-1/2/3 when price is nearing each rung and the HUD shows Suggested AddShares > 0 (green risk read).
⸻
6) Quick checklist per trade
1. System: S1 or S2?
2. Levels: Entry / Add-1 / Add-2 / Add-3 / 10-low / 20-low / N2 (rounded).
3. Sizing: confirm RiskCap/PosCap; HUD shows Suggested AddShares and limiter.
4. Orders:
• Parent Entry stop-limit.
• N2 stop (rounded).
• Stage adds (stop-limits) with sizes from HUD.
5. On fill: ratchet stop to Last-Add − 2×N; adjust remaining adds and sizes.
⸻
7) Example with your MU position (pattern)
• You’re already in: set entryQty and entryPman in the inputs to match your fill.
• HUD now focuses on Next Rung, Suggested AddShares, and Proj Stop if Add.
• If Suggested AddShares = 0 and limiter says RiskCap or PosCap, you’ll still see the next rung price and Proj Stop if Add so you can decide whether to override.
⸻
Bottom line
• Entry: buy the Donchian breakout + 0.1N with a stop-limit (Turtle style).
• Adds: only at +0.5N steps, sized by HUD; not on every future Donchian break.
• Stops: keep (and ratchet) the N2 catastrophic; trail runner on 10-low / 20-low.
If you want, tell me your broker/platform and I’ll map this to exact order ticket types (stop-limit/OTO/OCO) and a tiny checklist you can keep next to your screen.
Position Size CalculatorPosition Size Calculator
This open-source Pine Script® indicator helps traders manage risk by calculating position size, margin, and risk/reward based on account size, leverage, entry, stop-loss, and take-profit. It features a customizable table and optional chart lines/labels for clear trade planning across stocks, forex, crypto, and futures.
What It Does
- Position Size: Computes units to trade based on risk percentage and stop-loss distance, capped by leverage.
- Margin: Calculates initial margin in base currency and USD, with account size percentage.
- Risk/Reward: Shows risk-reward ratio, percentage price movements, and USD gains/losses.
- Visualization: Displays results in a table and optional chart lines/labels with customizable styles.
How It Works
- Precision: Adjusts price formatting using syminfo.mintick for accuracy across assets.
- Calculations: Position size = accountSize * (riskPercent / 100) / |entry - stoploss|, capped by accountSize * leverage / entry. Margin = positionSize / leverage. Risk-reward = |takeprofit - entry| / |stoploss - entry|.
- Display: Table shows metrics; optional lines/labels plot entry, stop-loss, and take-profit with percentage and USD details.
How to Use
- Set Inputs:
1- Account Size (USD): Your capital (e.g., 1000).
2- % Risk per Trade: Risk tolerance (e.g., 1%).
3- Leverage: Broker leverage (e.g., 1x, 10x).
4- Entry, Stop Loss, Take Profit: Trade prices.
5- Show Lines and Labels: Enable chart overlays.
- Customize: Adjust table position, colors, and line styles (Solid, Dashed, Dotted).
- View Results: Table shows position size, margin, and risk/reward. Chart lines/labels (if enabled) display prices, percentages, and USD outcomes.
- Apply: Use metrics for trade execution; modify code for custom features.
Notes
- Ensure valid inputs (entry ≠ stop-loss, both positive) to avoid “N/A”.
- Open-source: Inspect or extend the code for your needs.
- Contact the author via TradingView for feedback.
HawkEye EMA Cloud
# HawkEye EMA Cloud - Enhanced Multi-Timeframe EMA Analysis
## Overview
The HawkEye EMA Cloud is an advanced technical analysis indicator that visualizes multiple Exponential Moving Average (EMA) relationships through dynamic color-coded cloud formations. This enhanced version builds upon the original Ripster EMA Clouds concept with full customization capabilities.
## Credits
**Original Author:** Ripster47 (Ripster EMA Clouds)
**Enhanced Version:** HawkEye EMA Cloud with advanced customization features
## Key Features
### 🎨 **Full Color Customization**
- Individual bullish and bearish colors for each of the 5 EMA clouds
- Customizable rising and falling colors for EMA lines
- Adjustable opacity levels (0-100%) for each cloud independently
### 📊 **Multi-Layer EMA Analysis**
- **5 Configurable EMA Cloud Pairs:**
- Cloud 1: 8/9 EMAs (default)
- Cloud 2: 5/12 EMAs (default)
- Cloud 3: 34/50 EMAs (default)
- Cloud 4: 72/89 EMAs (default)
- Cloud 5: 180/200 EMAs (default)
### ⚙️ **Advanced Customization Options**
- Toggle individual clouds on/off
- Adjustable EMA periods for all timeframes
- Optional EMA line display with color coding
- Leading period offset for cloud projection
- Choice between EMA and SMA calculations
- Configurable source data (HL2, Close, Open, etc.)
## How It Works
### Cloud Formation
Each cloud is formed by the area between two EMAs of different periods. The cloud color dynamically changes based on:
- **Bullish (Green/Custom):** When the shorter EMA is above the longer EMA
- **Bearish (Red/Custom):** When the shorter EMA is below the longer EMA
### Multiple Timeframe Analysis
The indicator provides a comprehensive view of trend strength across multiple timeframes:
- **Short-term:** Clouds 1-2 (faster EMAs)
- **Medium-term:** Cloud 3 (intermediate EMAs)
- **Long-term:** Clouds 4-5 (slower EMAs)
## Trading Applications
### Trend Identification
- **Strong Uptrend:** Multiple clouds stacked bullishly with price above
- **Strong Downtrend:** Multiple clouds stacked bearishly with price below
- **Consolidation:** Mixed cloud colors indicating sideways movement
### Entry Signals
- **Bullish Entry:** Price breaking above bearish clouds turning bullish
- **Bearish Entry:** Price breaking below bullish clouds turning bearish
- **Confluence:** Multiple cloud confirmations strengthen signal reliability
### Support/Resistance Levels
- Cloud boundaries often act as dynamic support and resistance
- Thicker clouds (higher opacity) may provide stronger S/R levels
- Multiple cloud intersections create significant price levels
## Customization Guide
### Color Schemes
Create your own visual style by customizing:
1. **Bullish/Bearish colors** for each cloud pair
2. **Rising/Falling colors** for EMA lines
3. **Opacity levels** to layer clouds effectively
### Recommended Settings
- **Day Trading:** Focus on Clouds 1-2 with higher opacity
- **Swing Trading:** Use Clouds 1-3 with moderate opacity
- **Position Trading:** Emphasize Clouds 3-5 with lower opacity
## Technical Specifications
- **Version:** Pine Script v6
- **Type:** Overlay indicator
- **Calculations:** Real-time EMA computations
- **Performance:** Optimized for all timeframes
- **Alerts:** Configurable long/short alerts available
## Risk Disclaimer
This indicator is for educational and informational purposes only. Always combine with proper risk management and additional analysis before making trading decisions. Past performance does not guarantee future results.
---
*Enhanced and customized version of the original Ripster EMA Clouds by Ripster47. This modification adds comprehensive color customization and enhanced user control while preserving the core analytical framework.*
TP/SL Dynamic (FIB,ATR,MULTIPLE,PERCENT)TP/SL Dynamic (FIB, ATR, MULTIPLE, PERCENT)
This indicator provides a flexible framework for managing Take Profit (TP) and Stop Loss (SL) levels using multiple calculation schemes. It is designed for traders who want dynamic or rule-based levels that adapt to volatility, market type, and custom input.
The script supports four TP/SL methodologies:
Pro Standards (Auto-Select): Adapts method based on asset type and volatility.
R Multiples: Risk-based reward multiples from ATR-derived stop distance.
Fibonacci R: Fibonacci extension levels projected from recent pivots.
Percent: Fixed percentage distance from entry, adjusted by volatility.
ATR Multiples: ATR-based calculations with configurable multipliers.
Features:
Up to 3 manual entries, each with configurable time, price, and position size.
Weighted entry price calculation across multiple positions.
Single or multiple TP targets (up to 4) with automatic scaling.
Dynamic ATR option: updates SL/TP levels with live volatility or fixes them at entry.
Pivot-based logic for Fibonacci extensions.
Symbol Locking to prevent mismatches between intended pair and chart symbol.
Table display with optional R-multiples, TP/SL values, and entry details.
Visual chart elements: lines, labels, price-scale markers for SL/TP, and zebra-style info tables.
Entry markers (E1, E2, E3) for clarity.
Alerts for TP and SL triggers (both long and short).
How to Use:
Define entry prices, times, and position sizes (up to 3 entries).
Select a TP method (Pro Standards, R Multiples, Fibonacci R, Percent, or ATR Multiples).
Choose single or multiple TP mode.
Optionally enable Dynamic ATR to update levels in real time.
Check the on-chart table for all calculated levels and alerts.
Author & Credit:
Developed from the ground up by me (no external code used outside The Pine public library).
CyberFlow [Probabilities] | FractalystWhat's the indicator's purpose and functionality?
CyberFlow quantifies, per chosen higher-timeframe “Period 1/2/3”, what happens after price first taps the midpoint (Mid) of the previous period’s range. Specifically, it estimates P(High first | Mid tap) versus P(Low first | Mid tap): which side (previous High “PH” or previous Low “PL”) is typically reached first after that mid activation.
It extends a previously shared OrderFlow concept that used market structure; here it conditions on higher‑timeframe previous‑period PH/PL with the Mid as the explicit trigger.
Note: It's specifically designed to exports raw probabilistic series for algorithmic/system developers to integrate a probabilistic layer into strategies and to build/backtest ideas directly from those series.
What is “Mid activation”?
The Mid is the average of the previous period’s PH and PL. Activation occurs on the first bar in the current period whose high–low range includes the Mid. The first bar of a new period cannot activate Mid; activation can only start from the second bar of the period onward.
What counts as “first hit” after activation?
After a Mid activation, the script waits for a subsequent bar that touches either the previous High (PH) or previous Low (PL). The first side touched after the activation bar is recorded as that period’s first hit. Once decided, the other side is ignored for first‑hit statistics.
Which periods does it use?
You can select three custom reference timeframes (Period 1/2/3) in the UI (defaults: D/W/M). All logic—PH/PL/Mid, activation, first‑hit stats—runs independently per selected period.
Do the display controls change the calculation?
No. The “Show” selector only controls visuals:
Period 1/2/3: show only that period’s plots/barcolors.
OFF: shows all periods. Statistics and exported series are unaffected by this selector.
What do the bar/line colors mean?
Activation (first Mid tap): yellow bar.
Delivered to previous High after activation: blue
Delivered to previous Low after activation: red
Plots stop showing PH/PL once delivery happens (for that side) within the period.
What do the status symbols in the table mean?
■ Inactive — Mid not tapped this period.
▶ Activated — Mid tapped; awaiting delivery to PH or PL.
● Delivered — PH or PL was hit first after the Mid tap.
How are probabilities computed?
For each period, the script counts samples where the Mid was tapped and one side was hit first. It reports:
P(High first | Mid tap) and P(Low first | Mid tap).
Two‑sided p‑value vs 50% (H0: p = 0.5). These appear in the stats table with detailed tooltips.
What is “Bias” in exports?
Bias is a ternary signal derived from P(High first | Mid tap):
Bias = 1 if > 0.5
Bias = -1 if < 0.5
Bias = 0 if exactly 0.5 or no sample Source can be per period or “Merged” (simple average of available period probabilities).
Note: the UI uses a simple average; no weighted option is exposed.
What is “Entry” in exports?
Entry = 1 on bars where the selected period’s Mid activates (first tap), else 0. “Merged” emits 1 if any of the three periods activates on the bar.
What is “Exit” in exports?
Exit is the previous period’s Mid price (PH/PL average) for the selected period. “Merged” is the average of the three previous‑period Mid prices.
How do I integrate this into strategies? How to use the indicator?
CyberFlow is designed for algorithmic/system developers to add a probabilistic layer for entries and market‑regime detection.
What CyberFlow exports
- Bias (−1, 0, 1): from P(High first | Mid tap) vs 50% per your chosen source (Period 1/2/3 or Merged simple average).
- Entry (0/1): 1 only on the bar where the selected period’s Mid first activates (the “mid tap” bar).
- Exit (price): the previous period’s Mid price (average of previous High/Low) for the selected source.
- These appear in the Data Window as series named Bias, Entry, and Exit.
Connecting from your strategy (input.source)
- Add inputs in your strategy so users can select CyberFlow’s outputs:
- Bias source input: pick the indicator’s Bias.
- Entry source input: pick the indicator’s Entry.
- Exit source input: pick the indicator’s Exit.
In TradingView’s UI, users link these inputs to CyberFlow’s plots via the source picker.
Does this use request.security?
No. CyberFlow reconstructs your selected higher timeframes (Period 1/2/3) directly on the chart without request.security().
It detects new period boundaries via timeframe.change(tf), rolls the last period’s extremes into Previous High/Low (PH/PL), computes their Mid, then waits for a “Mid activation” (a bar after the first bar of the period whose range crosses the Mid).
From activation onward, it records which side (PH or PL) is reached first to build conditional probabilities per period.
Because levels and events are derived locally from the live bar stream, there are no cross-timeframe fetch artifacts or repaint nuances from request.security().
The exported series (Bias −1/0/1, Entry 0/1, Exit price) are produced natively and can be wired into strategies via TradingView’s input.source() for robust, low-latency integration.
What markets and assets does the indicator Extension work best on?
CyberFlow is market- and timeframe‑agnostic: it computes conditional probabilities (which side of the prior range is reached first after a mid tap) directly from price, so it can be applied to crypto, FX, indices, equities, futures, and commodities across intraday to higher timeframes. In practice, robustness depends on liquidity and sample size: higher timeframes usually yield more stable estimates (fewer activations, lower noise), while lower timeframes give more activations but can be noisier (spreads/fees matter more).
Because the study itself provides probabilities—not PnL—assess profitability in your context by integrating the exported series (Bias −1/0/1, Entry 0/1, Exit price) into your strategy via TradingView’s input.source(), then backtest with your fills, costs, and risk model to measure performance efficiency on your specific markets and settings.
What makes this script unique?
Custom higher-timeframes (beyond D/W/M)
You can pick any three reference periods (Period 1/2/3), not just Daily/Weekly/Monthly. The script rebuilds these periods directly on the chart and analyzes each independently.
True conditional probability (why it matters)
It measures P(High first | Mid tap) vs P(Low first | Mid tap) — i.e., “after the previous period’s midpoint is first tapped, which side is typically reached first?”
Conditioning on the mid‑tap event isolates the path that follows a specific trigger. Unconditioned counts (e.g., “how often PH/PL is hit”) mix pre‑ and post‑activation behavior and can be misleading. This conditional framing turns vague hit‑rates into decision‑grade odds tied to a clear setup.
Statistical confidence in‑context (p‑value in tooltips)
Tooltips show a Wilson 95% confidence interval and a two‑sided p‑value versus 50/50. This helps you judge whether an observed edge is likely signal or noise at your chosen periods.
Exports built for algorithmic integration
Three clean outputs in the Data Window for strategies:
Bias (−1/0/1) from the conditional probability versus 50%.
Entry (0/1) on the activation bar (first mid tap).
Exit (price) as the previous period’s Mid.
Hook these into your backtests via TradingView’s input.source(), then evaluate profitability with your own fills, costs, and risk model. This turns the probabilities into measurable performance you can optimize.
Disclaimer
This tool provides statistical estimates only and is not financial advice. Historical probabilities are not guarantees of future results. Always backtest with your own costs, fills, and risk model before using in live trading.
Strong Economic Events Indicator (mtbr)This indicator is designed to help traders anticipate market reactions to key economic events and visualize trade levels directly on their TradingView charts. It is highly customizable, allowing precise planning for entries, take-profits, and stop-losses.
Key Features:
Multi-Event Support:
Supports dozens of economic events including ISM Services PMI, CPI, Core CPI, PPI, Non-Farm Payrolls, Unemployment Rate, Retail Sales, GDP, and major central bank rate decisions (Fed, ECB, BOE, BOJ, Australia, Brazil, Canada, China).
Custom Event Date and Time:
Manually set the year, month, day, hour, and minute of the event to match your chart and timezone, ensuring accurate alignment.
Forecast vs Actual Analysis:
Input the forecast and actual values. The indicator calculates the likely market direction (Buy/Sell/Neutral) according to historical market reactions for each event.
Dynamic Trade Levels:
Automatically plots:
Entry price
TP1, TP2, TP3 in pips relative to the entry
Stop Loss in pips relative to the entry
Levels are automatically adjusted based on the event's Buy/Sell direction.
Visual Chart Representation:
Entry: Blue line and label
TP1/TP2/TP3: Green lines and labels
Stop Loss: Red line and label
Event occurrence: Orange dashed vertical line
Informative Table Panel:
Displays at the bottom-right of the chart:
Event name
Entry price
TP1, TP2, TP3 values
Current market direction (Buy/Sell/Neutral)
Customizable Line Extension:
Extend the lines for visibility across multiple bars on the chart.
How to Use the Indicator:
Select the Asset:
Set the Asset to Trade input to the symbol you want to analyze (e.g., XAUUSD, EURUSD).
Choose the Economic Event:
Use the drop-down menu to select the event you want to track.
Set the Event Date and Time:
Input the year, month, day, hour, and minute of the event. This ensures the event lines and labels appear at the correct time on your chart.
Input Forecast and Actual Values:
Enter the forecasted value and the actual result of the event. The script will determine market direction based on historically observed reactions for that event.
Configure Entry and Pip Levels:
Set your Entry Price
Set pip distances for TP1, TP2, TP3, and Stop Loss
The script automatically adjusts the levels according to Buy or Sell direction.
View Levels and Status:
Once the event occurs (or on backtesting), the indicator will plot:
Entry, Take Profits, Stop Loss on the chart
Vertical line for event occurrence
Table summarizing levels and Buy/Sell status
Adjust Line Extension:
Use the Line Extension (bars) input to control how far the horizontal levels extend on the chart.
Example Scenario:
Event: PPI MoM
Forecast: 0.2
Actual: 0.9
The indicator identifies the correct market reaction (Sell for EURUSD) and plots the Entry, TP1, TP2, TP3, and Stop Loss accordingly.
Important Notes:
The indicator does not execute trades automatically; it is for analysis and visualization only.
Always combine the signals with your own risk management and analysis.
Ensure your chart is set to the correct timezone corresponding to the event’s time.
This description fully explains how to use the indicator, what it displays, and step-by-step guidance for beginners and experienced traders
Strong Economic Event Indicator (mtbr)Description:
This indicator is designed for traders to visualize entry levels, targets (TP1, TP2, TP3), and stop loss around key economic events for the selected asset, defaulting to XAUUSD. It provides a clear reference for potential market movements based on the event's surprise and direction (Bullish, Bearish, or Neutral).
Key Features:
Customizable Event Selection:
Select from a list of major economic events including ISM Services PMI, CPI, Non-Farm Payrolls, Fed Rate Decision, and more.
Set the exact year, month, day, hour, and minute for the event so that lines and labels appear at the correct bar.
Surprise Calculation and Direction:
Automatically calculates the difference between Actual and Forecast.
Displays the market direction in the table as Bullish, Bearish, or Neutral.
Price Levels in Pips Relative to Entry:
Entry, three targets (TP1, TP2, TP3), and Stop Loss can be set in pips relative to the entry price.
Directional logic ensures that levels adjust automatically according to Bullish or Bearish surprise.
Each line and label is independent and updates only when its corresponding input changes.
Chart Visualization:
Colored lines and labels:
Entry → Blue
TPs → Green
Stop Loss → Red
Vertical event line → Orange (dashed), highlighting the event release moment.
Integrated Informative Table:
Displays:
Selected economic event
Entry price
TP1, TP2, TP3 levels
Market direction status
Color-coded: green for Bullish, red for Bearish, gray for Neutral.
How to use the script:
Add the indicator to the chart of your preferred asset (default is XAUUSD).
Select the economic event from the drop-down list.
Set the event date and time in the input panel.
Enter the Entry Price and pip values for TP1, TP2, TP3, and Stop Loss according to your strategy.
The indicator will automatically draw lines and labels on the chart and update the table with event details and market direction.
Whenever an input value changes, only the corresponding line and label will update, leaving other levels intact.
Important Notes:
This indicator is visual and educational only; it does not place trades automatically.
Make sure the event timezone is correct to match your local release time.
Use in combination with your own trading strategy and risk management.
TradingView Publication Compliance:
Full instructions for usage
Explanation of inputs and settings
Description of line and label behavior
Educational disclaimer (no automated trading)
Painel Técnico (4H x 1D) — Clean UI + Alertas BrenoG📋 Main Functions
1️⃣ Analysis in two fixed timeframes
4 hours and 1 day analyzed in parallel.
Each column in the table displays the data for its respective timeframe.
2️⃣ Entry point based on oversold conditions
The “entry point” is not the current price, but rather the last candle that went into oversold territory (RSI ≤ configured threshold).
If there has been no recent oversold condition, the current price is used as a fallback.
All calculations (Buy Zone, Stops, TPs) are based on this point.
3️⃣ Buy Zone
Defined as:
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Low Zone = entry * (1 - width%)
High Zone = entry
Always visible in the table, but alerts can be set to trigger only if RSI is oversold at the moment of entry.
4️⃣ Automatic Stops
Moderate Stop and Conservative Stop, calculated as a % below the entry point.
Displayed in the table with black text on a gray background for emphasis.
Alerts trigger when price crosses below these levels.
5️⃣ Take Profits (TP1–TP4)
Calculated from the entry point:
By percentage (usePercentTP = true) or
By fixed prices (usePercentTP = false).
The table displays:
Target price
% gain over the entry point
They only appear when RSI > 50 and EMA50 > EMA200 (the “alignment” condition).
Alerts trigger only on breakouts upward.
6️⃣ Context Indicators
RSI → shows numeric value and green/red color.
MACD → indicates if the MACD line is above or below the signal line.
EMAs 50/200 → indicates “Golden Cross” or “Death Cross”.
Price vs EMA200 → dedicated row showing “Above” or “Below EMA 200” with green/red color.
7️⃣ Visual Panel
Semi–transparent dark gray background, thin borders.
Colored header:
Blue for 4H
Orange for 1D
Rows separated by data type for easy reading.
Configurable font size (tiny to large).
Table position configurable (top_left, top_right, etc.).
8️⃣ Integrated Alerts
Entry/Exit of Buy Zone
Touch of each TP
Touch of each Stop
RSI entering Oversold
All alerts are separated by timeframe with clear, fixed messages.
📌 Simple Summary:
It’s an intelligent panel that combines multi–timeframe technical analysis, automatic calculation of entries/stops/TPs based on oversold conditions, and ready–to–use alerts — all presented in a visual, compact, and fully configurable format.
