Reversal Detector [Scalping-Algo]Reversal Detector - Volume-Based Price Structure Analysis
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WHAT IT DOES
This indicator identifies potential reversal zones by analyzing price structure combined with volume. Instead of using traditional overbought/oversold readings or single candlestick patterns, it looks for a specific two-phase setup:
Phase 1 - Anchor Detection:
The script scans for bars where price closes beyond ALL previous bars in the lookback period. For a bullish setup, the close must be lower than every low of the past N candles (default 20). This represents an extreme extension, not just a "lower low." Volume on this bar should exceed 2x the average to confirm real participation.
Phase 2 - Confirmation:
After an anchor forms, the indicator waits for price to reverse back through the anchor bar's range. This must occur within a set number of bars (default 3). If price continues making new extremes instead, the setup is cancelled.
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HOW TO READ THE SIGNALS
B Labels (Green, below price) = Bullish reversal confirmed
S Labels (Red, above price) = Bearish reversal confirmed
Each signal shows a score from 3/5 to 5/5:
- 3/5 = Basic confirmation met
- 4/5 = Good volume on anchor or confirmation
- 5/5 = Strong volume + aligned with 200 EMA trend
Dashed Boxes = Pending setup waiting for confirmation
- Green box = Bullish setup in progress
- Red box = Bearish setup in progress
Status Panel (bottom right):
- Shows current state (Scanning / Bull Setup / Bear Setup)
- Countdown for confirmation window
- Current volume condition
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HOW TO USE
Entry Approach:
1. Wait for a confirmed signal (B or S label appears)
2. Higher scores (4/5 or 5/5) indicate better quality setups
3. Consider the overall trend context - signals aligned with the 200 EMA direction tend to work better
Stop Placement:
- For long entries: below the anchor bar's low
- For short entries: above the anchor bar's high
The boxes show you the anchor zone while waiting for confirmation, which can help visualize the invalidation level.
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SETTINGS
Structure Settings:
- Lookback Period (default 20): How many bars back to check for the breakout. Lower = more setups but less extreme. Higher = fewer but more significant extensions.
- Confirmation Bars (default 3): Maximum bars allowed for price to reverse. Tighter window = stricter filter.
Volume Settings:
- Use Volume Filter: Toggle volume requirement on/off
- Volume MA Length (default 20): Period for average volume calculation
- Anchor Volume Multiple (default 2.0): Required volume spike on anchor bar
- Confirm Volume Multiple (default 1.2): Volume threshold on confirmation bar
Visual Settings:
- Trend EMA Length (default 200): Used for trend alignment scoring
- Show Pending Setups: Display the dashed boxes for active setups
- Show Status Panel: Display the info table
- Colors and label size customization
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WHAT MAKES THIS DIFFERENT
The core idea is requiring price to break beyond EVERY bar in the lookback range, not just make a swing high/low. This filters out minor pullbacks and focuses on genuine extensions where price has moved significantly.
The two-phase approach (anchor then confirmation) helps avoid catching falling knives - you're not entering just because price is extended, but waiting for actual reversal evidence.
Volume integration adds another layer. The anchor bar needs elevated volume to confirm real selling/buying pressure, not just a gap or illiquid move.
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SUGGESTED USE
Works on any timeframe, but I find it most useful on 5-15 minute charts for intraday setups.
Combine with:
- Key support/resistance levels
- Higher timeframe trend direction
- Market context (avoid during major news)
The indicator identifies the pattern mechanically - it doesn't predict outcomes. Use proper position sizing and always have a stop loss plan.
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ALERTS INCLUDED
- Bullish Reversal
- Bearish Reversal
- Any Reversal
- Strong Bullish (4/5 or higher)
- Strong Bearish (4/5 or higher)
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Tìm kiếm tập lệnh với "scalping"
Leswin Stocks Ribbon Signals (SPY/QQQ)
Leswin Ribbon Signals – Day Trading Indicator (Stocks & Crypto)
Leswin Ribbon Signals is a trend-based momentum indicator designed for day traders and scalpers who trade stocks, ETFs, options, and crypto.
Built for fast execution on 5m, 15m, and 1H timeframes, it uses a dynamic EMA ribbon, trend filtering, and volatility conditions to help identify high-probability BUY and SELL zones while avoiding low-quality chop.
Features:
• Trend-following EMA ribbon
• Automatic higher-timeframe trend filter
• Smart BUY & SELL signals
• Volatility (ATR) filter to avoid dead zones
• Regular Trading Hours (RTH) filter for stocks
• Optimized for SPY, QQQ, DIA, IWM, TSLA, AAPL, META
• Works on crypto, forex, and futures
• Mobile-friendly
• Non-repainting logic
This indicator is best used as a confirmation tool, not a standalone system. Always combine with your own levels, structure, and risk management.
1M Weighted Deepsage ScreenerThis indicator applies the same core decision logic used by Deepsage AI to determine real-time market consensus on lower timeframes.
It combines multiple market dimensions into a single weighted score and classifies conditions as Strong Buy, Buy, Neutral, Sell, or Strong Sell.
All calculations are performed on the current chart timeframe (typically 1-minute), making the indicator highly responsive and well-suited for scalping and short-term market analysis.
Its purpose is not precise entries, but to reveal what the majority of signals are aligned with at any given moment.
8 EMA. 21 EMA. VWAP This trio is popular for momentum, scalping, and trend-following on 1m–15m charts (stocks, futures, indices).
1. Trend & Bias Filter
• Overall bullish when: Price > VWAP and 8 EMA > 21 EMA
• Overall bearish when: Price < VWAP and 8 EMA < 21 EMA
VWAP adds volume context — many ignore EMA signals against the VWAP side.
2. Crossover Signals (Primary Entries)
• Bullish crossover: 8 EMA crosses above 21 EMA → potential long (especially if price is already above VWAP)
• Bearish crossover: 8 EMA crosses below 21 EMA → potential short (especially if price is below VWAP)
VWAP confirmation reduces whipsaws: only take longs above VWAP, shorts below it.
3. Pullback / Retest Entries (Higher Probability)
• In an uptrend (price > VWAP, 8 > 21): Wait for dips to the 8 EMA (or sometimes 21 EMA) → buy the bounce.
• In a downtrend: Wait for rallies to the 8 EMA → short the rejection.
VWAP often acts as a magnet or pivot — price gravitating toward it can signal mean-reversion trades.
Cryptocurrency Dual-System Color-Changing Moving AveragesCryptocurrency Dual-System Color-Changing Moving Averages: Advanced Multi-Timeframe Trend Analysis
Innovative Core Concept
Our indicator introduces a revolutionary approach to trend analysis by integrating dual moving average systems with intelligent visual feedback mechanisms. Unlike traditional moving average indicators that simply display lines or basic crossovers, our system provides dynamic, multi-dimensional trend intelligence through three key innovations:
Dual Independent Moving Average Systems - Two complete 7-period moving average systems operate simultaneously, offering independent trend confirmation while maintaining visual harmony through unified color coding.
Intelligent Color-Changing Algorithm - Each moving average dynamically changes color based on its individual trend strength, creating a visual heatmap of momentum across different timeframes.
Holistic Market State Visualization - The entire candlestick chart changes color based on overall trend alignment, providing immediate visual confirmation of market regimes.
Comprehensive Functionality and Implementation
What It Does
This indicator performs multi-timeframe trend analysis across 14 moving averages (7 for each system), calculating individual trend strength for each line and determining overall market alignment to provide clear visual signals for different market conditions.
How It Works
Primary Trend Strength Calculation:
For each moving average, the indicator calculates a proprietary trend strength value by analyzing the net directional movement over a user-defined lookback period. This quantifies whether the moving average is consistently rising, falling, or consolidating.
Color Coding Logic:
Blue: Moving average shows strong upward momentum (trend strength exceeds positive threshold)
Orange: Moving average shows strong downward momentum (trend strength falls below negative threshold)
Gray: Moving average shows neutral/consolidating behavior
Market Regime Detection:
The system analyzes the alignment of three key moving averages (short-term, medium-term, and long-term) from the Main MA System to determine the overall market state:
Bullish Alignment: Short-term MA > Medium-term MA > Long-term MA (candlesticks turn blue)
Bearish Alignment: Short-term MA < Medium-term MA < Long-term MA (candlesticks turn orange)
Consolidation: No clear alignment pattern (candlesticks turn white)
Implementation Methodology
Our approach combines several established technical analysis concepts with unique enhancements:
Multiple Timeframe Analysis (MTFA) - We simultaneously analyze 7 different time periods (21, 55, 89, 144, 200, 450, 800) to capture trend dynamics across short, medium, and long time horizons.
Trend Strength Quantification - Instead of relying on simple crossovers, we calculate a proprietary trend strength metric that measures both direction and momentum consistency.
Visual Pattern Recognition Enhancement - By color-coding both the moving averages and the price bars, we leverage human visual processing capabilities to quickly identify market states and potential reversals.
Dual Confirmation System - The two independent moving average systems (Main System and EMA System) provide layered confirmation, reducing false signals and increasing reliability.
Practical Application and Usage Guidelines
Setup and Configuration
Main Moving Average System:
Configure your preferred moving average type (SMA, EMA, WMA, or HMA) and select which of the 7 periods to display. Each period can be individually enabled or disabled based on your analysis needs.
EMA System Configuration:
The secondary EMA system provides additional trend confirmation. Adjust its transparency to visually distinguish it from the Main System while maintaining chart clarity.
Trend Sensitivity Adjustment:
The "Trend Strength Threshold" parameter allows fine-tuning of color change sensitivity. Lower values make the indicator more responsive to minor trends, while higher values require stronger momentum for color changes.
Strategic Trading Applications
1. Trend Identification and Confirmation Strategy
Bullish Confirmation: Look for predominantly blue moving averages across multiple timeframes accompanied by blue candlesticks
Bearish Confirmation: Look for predominantly orange moving averages across multiple timeframes accompanied by orange candlesticks
Trend Weakness Detection: Watch for moving averages changing from blue to gray/orange or from orange to gray/blue
2. Multi-Timeframe Alignment Trading
High-Probability Entries: Enter positions when all three key timeframes (short, medium, long) align in the same direction
Exit Signals: Consider reducing positions when timeframes begin to diverge or when candlestick color changes to white (consolidation)
3. Support and Resistance Identification
Moving averages serve as dynamic support/resistance levels
Color changes at these levels indicate whether support/resistance is strengthening or weakening
4. Market Regime Adaptation
Trend-Following Mode: During blue/orange candlestick periods, employ trend-following strategies
Range-Trading Mode: During white candlestick periods, employ range-bound or mean-reversion strategies
Core Philosophical Framework and Calculation Logic
Underlying Technical Analysis Principles
Our indicator is built upon the principle that trends exist simultaneously across multiple timeframes, and the convergence or divergence of these timeframes provides valuable information about trend strength and potential reversals.
Calculation Methodology
Trend Strength Formula:
For each moving average, we calculate:
Sum of upward movements over the lookback period
Sum of downward movements over the lookback period
Net directional bias as a normalized value between -1 and +1
This approach provides a more nuanced understanding of trend momentum compared to simple directional analysis.
Threshold-Based Classification:
Values above the positive threshold indicate sustainable upward momentum
Values below the negative threshold indicate sustainable downward momentum
Values within the threshold range indicate consolidation or weak trends
Why This Approach Is Effective
Early Warning System: Color changes in individual moving averages often precede overall market regime changes, providing early reversal signals.
Noise Reduction: By requiring alignment across multiple timeframes for candlestick coloring, we filter out false signals common in single-timeframe analysis.
Visual Processing Efficiency: The color-coded system allows rapid interpretation of complex multi-timeframe information, reducing cognitive load during fast market conditions.
Adaptability: Configurable parameters allow adjustment for different market conditions (high volatility vs. low volatility) and trading styles (scalping vs. position trading).
This indicator is particularly valuable for cryptocurrency trading due to the market's characteristic high volatility and strong trend tendencies. By providing clear visual cues about trend strength and alignment across multiple timeframes, it helps traders remain aligned with the dominant market direction while avoiding periods of choppy, directionless price action.
The system's dual-layer confirmation (moving average colors + candlestick colors) creates a robust framework for identifying high-probability trading opportunities while maintaining flexibility to adapt to changing market conditions.
XRP Athey Mitchnick Implied Price (Ramp + Analytical 2030 Label)This indicator implements a fundamental valuation framework for XRP based on the Athey–Mitchnick cryptoasset valuation model. Unlike traditional technical indicators (RSI, MACD, etc.), this tool is not designed to predict short-term price movements. Instead, it models what XRP should be worth over time under explicit adoption and demand assumptions.
It answers the question:
If XRP becomes a real settlement rail and a long-term store of value, what price would be required for the system to function?
What This Indicator Adds
This implementation extends the static Athey–Mitchnick model by introducing a time-based ramp:
1. Adoption grows over time
You specify:
TV CAGR (%)
SoV CAGR (%)
These values compound annually from a start date to an end date (e.g., 2030), producing a dynamic implied valuation curve.
2. Terminal 2030 price is computed analytically
The indicator explicitly computes the implied price at the target year (e.g., 2030) and displays it as:
“2030 Implied Price = $X”
This is done analytically, so the chart does not need to extend to 2030 for you to see the terminal valuation.
3. This is not a trading indicator
This model is not designed for:
Scalping
Breakouts
Entry timing
Momentum trading
It is designed for:
Long-term valuation anchoring
Scenario modeling
Macro thesis testing
Adoption-based forecasting
Narrative vs fundamentals comparison
How to Read the Chart
Market Price (Close)
This is the actual XRP market price. It reflects:
Speculation
Liquidity
Leverage
Narrative
Emotion
Implied Price (Ramp)
This is the fundamental valuation curve.
It shows what XRP’s price would need to be at each point in time for your adoption and store-of-value assumptions to be true.
Bands (Optional)
The ±% bands are valuation tolerance zones. They are not volatility bands.
They help visualize:
Overvaluation
Undervaluation
Reversion zones
2030 Label
The label:
2030 Implied Price = $X
represents the terminal valuation implied by your assumptions. This is the most important output of the model.
What Makes the Price Go Higher
To increase the implied 2030 price, one or more of these must change:
1. Higher Transaction Adoption (TV)
Inputs:
TV0
TV CAGR %
This reflects real-world economic usage.
Higher TV means XRP is settling more real value per day.
Examples:
Cross-border payments
Tokenized assets
Treasury settlement
Interbank liquidity rails
2. Higher Store-of-Value Demand (SoV)
Inputs:
SoV0
SoV CAGR %
This reflects long-term holding demand.
This is the most powerful driver of long-term price.
It models:
Institutional holdings
Strategic reserves
Collateral usage
Long-term investor behavior
3. Lower Velocity
Input:
Velocity V
Lower velocity means XRP must be held longer to support the same transaction volume.
This implies:
Reserve-like behavior
Collateralization
Treasury holding
Structural stickiness
Price is inversely proportional to velocity.
4. Lower Effective Supply
Inputs:
Supply0
Supply CAGR
Supply cap
If XRP becomes locked, escrowed, staked, or structurally held, the effective circulating supply shrinks, increasing price.
Why This Matters
Most crypto price models are:
Technical
Reflexive
Narrative-driven
Non-falsifiable
This one is:
Structural
Adoption-based
Testable
Falsifiable
If XRP never achieves the adoption implied by your inputs, the model will not justify high prices.
This indicator is a forward-looking valuation engine, not a trading tool.
It shows:
What XRP’s price must be for your beliefs about its future to be true.
It forces clarity.
It forces discipline.
And it converts stories into structure.
PDH / PDL + Premarket Levels + VWAP + EMA 📌 PDH / PDL + Premarket Levels + VWAP + EMA (RTH Focused)
This indicator is designed for intraday traders who focus on the US market open and trade around key liquidity and acceptance levels.
It automatically plots:
Previous Day High (PDH) & Previous Day Low (PDL) based on Regular Trading Hours (RTH)
Premarket High (PMH) & Premarket Low (PML)
Session VWAP (Premarket + RTH, OHLC4)
8 EMA with dynamic trend coloring
All key levels are calculated during premarket but are only displayed after the market opens (9:30 ET) to keep the chart clean and actionable.
🔹 What’s Included
1️⃣ PDH / PDL (RTH-based)
Calculated from the prior day’s regular session
Useful for identifying liquidity sweeps, breakouts, and failed auctions
2️⃣ Premarket High / Low (PMH / PML)
Automatically tracked during premarket
Serve as important opening range and acceptance levels
3️⃣ Session VWAP (OHLC4)
Uses (Open + High + Low + Close) / 4
Accumulates from premarket through RTH
Helps identify institutional mean and trend acceptance
4️⃣ 8 EMA (Trend Bias)
Dynamically changes color based on structure:
🟢 Green when price is above PMH, PML, and EMA
🔴 Red when price is below PMH, PML, and EMA
⚪ Neutral when structure is mixed
🧠 How to Use
Look for trend continuation when price holds above PMH and VWAP with a green EMA
Watch for rejections or failures at PDH/PDL for reversal setups
Avoid chop when EMA remains neutral and price is between key levels
Best suited for scalping and momentum trades during the first hours of RTH
⏱ Session Logic
Premarket: 04:00 – 09:30 ET
Regular Trading Hours: 09:30 – 16:00 ET
Levels appear only after market open for clarity
⚠️ Disclaimer
This indicator is intended for educational and informational purposes only and should be used in conjunction with proper risk management and trade confirmation.
SuperTrend - With Exits & Trade ZonesSuperTrend - With Exits & Trade Zones
Overview
An advanced trend-following indicator that combines pivot points with the SuperTrend methodology to create a complete trading system with entry signals, exit signals, and visual trade zones. This indicator adapts to market structure rather than just price action, providing more reliable trend identification.
What Makes This Unique
Unlike standard SuperTrend indicators that use moving averages, this version:
Uses actual pivot points to calculate a dynamic center line
Provides multiple entry mode options for different trading styles
Shows clear exit signals (both trailing stop and take profit)
Color-codes the entire chart into trade zones (Long, Short, No Trade)
Eliminates guesswork about when to enter, exit, and stay out
Features
📊 Core Indicator Components
Pivot Point Detection: Identifies local highs and lows in price structure
Dynamic Center Line: Weighted calculation using detected pivot points
ATR-Based Bands: Volatility-adjusted upper and lower bands
Trailing Stop Line: Adaptive stop-loss that follows the trend
🎯 Entry Signals
Four entry modes to match your trading style:
Immediate Mode ⚡
Signals right when the trailing stop breaks
Fastest entries for aggressive traders
Best for strong trending markets
Aggressive Mode 🔥 (Recommended)
Signals when price closes beyond break candle OR opens beyond it
Balanced speed and confirmation
Good for most market conditions
Balanced Mode ⚖️
Requires entire candle to close beyond break level
Moderate confirmation
Reduces false breakouts
Conservative Mode 🛡️
Waits for candle to open AND stay completely beyond break level
Highest confirmation, slowest entries
Best for choppy markets
🚪 Exit Signals
Three exit strategies:
Trailing Stop
Exits when price crosses back through the trailing stop line
Lets profits run in trending markets
Protects gains when trend weakens
Take Profit %
Exits at predetermined profit target
Locks in gains at specific percentage
Good for range-bound markets
Both
Uses whichever exit comes first
Combines profit protection with trend following
Recommended for most traders
🎨 Visual Trade Zones
Color-coded backgrounds eliminate confusion:
🟢 Light Green: Active LONG position
🔴 Light Red: Active SHORT position
⚫ Gray: NO TRADE ZONE (between exit and next signal)
📍 Additional Visual Elements
Diamond markers: Show when trailing stop is first broken
BUY/SELL labels: Clear entry signals in green/red
EXIT markers: Gray X for stop loss, Orange X (TP) for take profit
Pivot points: Optional display of detected highs/lows (H/L markers)
Support/Resistance: Optional circles at pivot levels
Settings & Parameters
Basic Settings
Pivot Point Period (default: 2)
Controls sensitivity of pivot detection
Lower = more pivots detected (more responsive)
Higher = fewer pivots (more stable)
ATR Factor (default: 3)
Distance multiplier for trailing stop bands
Lower = tighter stops (more signals, earlier exits)
Higher = wider stops (fewer signals, longer trades)
ATR Period (default: 10)
Lookback period for volatility calculation
Affects how quickly bands adapt to volatility changes
Entry Configuration
Entry Mode: Select from Immediate/Aggressive/Balanced/Conservative
Determines how quickly the indicator generates signals after a trend break
Exit Configuration
Exit Method: Choose Trailing Stop, Take Profit %, or Both
Take Profit % (default: 2%)
Set your profit target as percentage of entry price
Adjust based on volatility and timeframe
Display Options
Show Buy/Sell Labels: Toggle entry signal labels
Show Exit Signals: Toggle exit markers
Show Break Candles: Toggle diamond markers on trend breaks
Show Pivot Points: Display H/L markers at pivot points
Show PP Center Line: Display the dynamic center line
Show Support/Resistance: Display circles at S/R levels
How to Use
For Swing Traders
Set Entry Mode to "Balanced" or "Conservative"
Use "Both" exit method with 3-5% take profit
Enable all visual elements for complete market picture
Trade only in direction of colored zones
For Day Traders
Set Entry Mode to "Aggressive" or "Immediate"
Use "Trailing Stop" exit method to catch intraday trends
Lower ATR Factor to 2-2.5 for tighter stops
Watch for quick signals in the first 2 hours of trading
For Position Traders
Use higher timeframes (Daily/Weekly)
Set Entry Mode to "Conservative"
Increase Take Profit % to 5-10%
Use larger ATR Factor (4-5) for wider stops
General Trading Rules
✅ DO: Enter on BUY/SELL signals (green/red backgrounds)
✅ DO: Exit on EXIT/TP markers
❌ DON'T: Enter during gray NO TRADE ZONE
❌ DON'T: Counter-trend trade against the colored zone
Alerts
Set up the following alerts for automated trading notifications:
Buy Signal: Triggers when long entry conditions are met
Sell Signal: Triggers when short entry conditions are met
Exit Long: Triggers when long position should be closed
Exit Short: Triggers when short position should be closed
Trailing Stop Broken: Triggers on initial trend change
Best Practices
Timeframe Selection
1-5 min: Scalping (use Immediate/Aggressive mode)
15-60 min: Day trading (use Aggressive/Balanced mode)
4H-Daily: Swing trading (use Balanced/Conservative mode)
Weekly: Position trading (use Conservative mode)
Risk Management
Always use the EXIT signals - don't hold through gray zones
Position size based on distance to trailing stop
Never risk more than 1-2% per trade
Consider wider stops on higher timeframes
Market Conditions
Trending markets: Use Aggressive mode, Trailing Stop exits
Ranging markets: Use Conservative mode, Take Profit exits
High volatility: Increase ATR Factor, use Both exits
Low volatility: Decrease ATR Factor for tighter stops
Technical Details
Calculation Method
Detect pivot highs and lows using specified period
Calculate weighted center line: (previous_center × 2 + new_pivot) / 3
Calculate bands: Upper = Center - (ATR Factor × ATR), Lower = Center + (ATR Factor × ATR)
Determine trend based on price position relative to bands
Trail stop line follows the active trend direction
Signal Logic
Entry signals generated based on selected confirmation mode
Position tracking maintains state from entry to exit
Exit signals calculated from both trailing stop and take profit levels
Trade zones update in real-time based on position state
Limitations & Considerations
Works best in trending markets; may generate false signals in tight ranges
Not a holy grail - should be used with proper risk management
Past performance does not guarantee future results
Recommended to backtest on your specific instrument and timeframe
Consider combining with volume analysis or other indicators for confirmation
Version History
v1.0: Initial release with entry signals and confirmation modes
v1.1: Added exit signals (trailing stop and take profit)
v1.2: Added color-coded trade zones (Long/Short/No Trade)
Credits
Original Pivot Point SuperTrend concept by LonesomeTheBlue
Modified with exit signals and trade zone visualization
License
Mozilla Public License 2.0
Example Setups
Conservative Swing Trading
Pivot Point Period: 2
ATR Factor: 3
ATR Period: 10
Entry Mode: Conservative
Exit Method: Both
Take Profit %: 4%
Aggressive Day Trading
Pivot Point Period: 2
ATR Factor: 2.5
ATR Period: 10
Entry Mode: Aggressive
Exit Method: Trailing Stop
Position Trading
Pivot Point Period: 3
ATR Factor: 4
ATR Period: 14
Entry Mode: Balanced
Exit Method: Both
Take Profit %: 8%
Disclaimer: This indicator is for educational purposes only. Trading involves substantial risk. Always do your own research and never trade with money you cannot afford to lose.
UT Bot Alerts [2026 Elite Edition]🚀 Overview
The UT Bot 2026 Elite Edition is the ultimate evolution of the legendary volatility trading system originally conceptualized by QuantNomad. While the original tool revolutionized trend following, this "Elite Edition" introduces Asymmetric Sensitivity—a professional feature that acknowledges a fundamental market truth: Assets do not fall the same way they rise.
This script allows you to decouple your Long and Short strategies, offering surgical precision for both bull runs and bear crashes, all while monitoring trade health via a new real-time Safety Dashboard.
🧠 The Logic: Why "Elite"?
Most trailing stop systems use a single setting (e.g., Key: 2, ATR: 10) for both buying and selling. This is efficient but often suboptimal.
Bull Markets often grind up slowly (requiring looser stops to avoid shakeouts).
Bear Markets often crash quickly (requiring tighter, faster stops to protect capital).
The Dual-Engine Solution: This script runs two separate calculation engines simultaneously:
The Buy Engine (Ceiling): Calculates the resistance ceiling using its own Sensitivity (Key) and Smoothness (ATR) settings.
The Sell Engine (Floor): Calculates the support floor using entirely different settings.
This means you can have a "Slow & Steady" settings for buying Bitcoin, but a "Fast & Aggressive" setting for shorting it, all within the same indicator.
✨ Key Features
1. Asymmetric "Dual-Key" Sensitivity
Buy Key & ATR: Tune your entry sensitivity for long positions.
Sell Key & ATR: Tune your short parameters independently.
Why this matters: You can now set a wide stop for trending up, but a tight stop for trending down to capture profit instantly when momentum breaks.
2. The Safety Dashboard (HUD) A professional Heads-Up Display (HUD) located in the top-right corner. It provides critical "Flight Data" that simple buy/sell labels hide:
Status: Instantly see if you are net Long or Short.
Stop Price (The Kill Level): The exact price where the trend will flip. Use this for your hard Stop Loss orders.
Active ATR: Displays the current volatility width. High ATR = High Volatility (Wide Stops). Low ATR = Consolidation (Tight Stops).
3. Heikin Ashi Smoothing
Includes a built-in toggle to calculate signals based on Heikin Ashi candles while viewing standard candles. This filters out "noise" and wicks, often keeping you in a trend longer.
4. Pine Script v6 Optimization
Refactored for the latest Pine Script v6 standards, ensuring faster execution and compatibility with the latest TradingView features.
🛠️ How to Use (Best Practices)
For Scalping (1m - 5m Timeframes):
Suggestion: Set Sell Key lower (e.g., 1.5) and Sell ATR lower (e.g., 5) to react quickly to drops. Keep Buy Key higher to avoid choppy fake-outs. I personally use the default settings on the 3M time frame with Gold and NQ with a high rate of success.
For Swing Trading (4h - Daily):
Suggestion: Increase Buy ATR (e.g., 30-100) to smooth out the noise of daily fluctuations.
The Dashboard:
Always check the Stop Price on the dashboard before entering. If the Stop Price is too far away from the current price, your risk might be too high for the trade size.
🙏 Credits & Appreciation
This script stands on the shoulders of giants.
Original Logic: Huge props and credit to QuantNomad for the original UT Bot strategy. His work laid the foundation for volatility-based trailing stops on TradingView.
Concept: Based on the "Ceiling/Floor" volatility theory.
Development: Enhanced and refactored by for the 2026 market environment.
Disclaimer: This tool is for information purposes only. Past performance does not guarantee future results.
Pro Structure: Precision MSS/BOS & Extended FVG1. Precision Structure Mapping (BOS & MSS) Unlike standard ZigZag indicators that just connect pivots, this script visualizes the exact "Break" point:
MSS (Market Structure Shift): Displayed as a Thick Solid Line. This signals a potential trend reversal (e.g., breaking a Lower High in a downtrend).
BOS (Break of Structure): Displayed as a Thin Dashed Line. This signals trend continuation in the current direction.
Visual Logic: The lines originate exactly from the Swing Pivot and terminate exactly at the candle that closes beyond that pivot, providing instant visual confirmation of the break.
2. Trend-Filtered Fair Value Gaps (FVG) To reduce "Analysis Paralysis," this indicator uses an active trend filter:
Bullish Trend: Only Bullish FVGs (Green) are highlighted. Bearish FVGs are hidden to prevent counter-trend confusion.
Bearish Trend: Only Bearish FVGs (Red) are highlighted.
Extended Zones: FVG boxes are automatically projected forward (default: 5 candles) to help identify immediate entry zones before price returns to them.
3. Clean Aesthetics The chart remains minimal. Labels are non-intrusive, and color coding is strictly defined (Green for Bullish structure/FVGs, Red for Bearish structure/FVGs), allowing for rapid decision-making.
Settings
Swing Detection Length: Customize the sensitivity of the structure (lower for scalping, higher for macro trends).
FVG Extension: Control how far into the future the FVG boxes are drawn.
Visuals: Fully customizable colors and label options.
This tool is intended to assist in identifying high-probability structural points and aligned entry zones.
Renko Top 2 Picker### **1s Renko Momentum Scanner (HMA Zero-Lag Edition)**
This custom TradingView indicator is engineered specifically for high-frequency Renko traders. It solves the critical problem of identifying which major currency pair has the liquidity and directional inertia to sustain a fixed-brick Renko trend on a 1-second chart.
Because TradingView cannot screen 1-second data directly, this script acts as a "bridge," analyzing 1-minute and 5-minute flow metrics to probability-score the likely performance of a 1-second chart.
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### **Core Logic & Assumptions**
1. **The "Engine" (HMA 300):**
* **Logic:** The script uses a Hull Moving Average (HMA) with a length of 300 to smooth the scoring output.
* **Why:** On a 1-second chart, 300 bars equals 5 minutes of data. The HMA provides a "Zero-Lag" response, reacting instantly to new breakouts while ignoring the split-second noise that causes standard scanners to flicker.
2. **The "Minute Reset" Solution:**
* **Problem:** Standard scripts fail on 1s charts because metrics like "Current Volume" reset to zero at the start of every new minute (e.g., at 10:05:00), causing signals to crash.
* **Solution:** This script calculates momentum using a "Rolling Window" anchored to the *previous* minute's close and volume. This ensures the signal remains stable and tradable across the :59 to :00 second boundary.
3. **Renko-Specific Scoring:**
* **Displacement > Direction:** The script prioritizes *how far* price is moving (Displacement %) over simple direction. Renko bricks require physical distance to form; without displacement, you pay spread costs for a flat chart.
* **Liquidity Gating:** It ignores pairs with low relative volume. A 1-second Renko chart requires high institutional flow to form clean bricks without gapping.
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### **Indicator Inputs**
* **Refresh Display (Seconds):**
* *Default: 5*
* Controls how often the text on your screen updates. Set this to 5 or 10 seconds to prevent the text from "dancing," allowing you to read the recommendation clearly.
* **Score Smoothing (HMA):**
* *Default: 300*
* The "Memory" of the scanner.
* **300:** Represents a 5-minute lookback. Recommended for most 1s scalping to identify established trends.
* **120:** Represents a 2-minute lookback. Use this only if you want to catch breakouts aggressively and accept more false signals.
* **Table Position:**
* *Default: Bottom Right*
* Choose where the scanner panel appears on your chart to avoid covering your Renko price action.
* **Major Pairs:**
* *Defaults: EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD*
* These fields are pre-filled with the standard "FX:" prefix. **Crucial:** If your broker uses suffixes (e.g., "EURUSD.pro" or "EURUSDm"), you must update these inputs to match your broker's specific symbol format, or the scanner will return "N/A".
---
### **How to Interpret the Output**
The panel displays a **Primary** and **Secondary** recommendation.
* **Green Background:** The pair has a "Strong" score (> 4.0). This indicates high probability conditions for 1s Renko trend following.
* **Gray Background:** The pair is the "best of the bunch," but overall market momentum is weak. Exercise caution, as the 1s chart may be choppy.
Gamma of Gamma - AnticipationGamma of Gamma — Anticipation Engine
What if you could detect market inflections before they become obvious? Not react to momentum — anticipate the momentum itself.
"Gamma here refers to mathematical acceleration (2nd derivative), NOT options Gamma"
Gamma of Gamma (GoG) operates one abstraction layer above conventional indicators. While RSI tells you what momentum did , GoG tells you what momentum is about to do . This is the difference between chasing price and positioning ahead of it.
Core Innovation: Traditional indicators measure first-order effects (price change) or second-order effects (momentum/acceleration). This system measures the third derivative — the rate of change of acceleration itself. When Gamma-of-Gamma reaches extremes, it signals that pressure dynamics are about to flip — often 2-5 bars before price visibly reacts.
Target Users: Discretionary traders, scalpers, and swing traders who want early positioning signals with statistical rigor. Effective on stocks, crypto, forex, and futures with meaningful volume data.
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WHY THIRD-DERIVATIVE ANALYSIS?
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The Hierarchy of Market Information
Most traders operate at the wrong level of abstraction:
• Price → What happened (lagging)
• Momentum → How fast it happened (still lagging)
• Gamma (2nd Derivative) → How momentum is changing (coincident)
• Gamma of Gamma (3rd Derivative) → How FAST that change is changing ( leading )
The third derivative captures inflection acceleration — the mathematical signature of regime transition. When GoG reaches extreme values, the market is telegraphing that current pressure dynamics are unsustainable.
Why This Beats RSI
RSI measures momentum magnitude. GoG measures momentum trajectory .
Consider this scenario: RSI reads 70 (overbought). Is the move exhausted or just getting started? RSI cannot tell you. GoG can — because it measures whether buying pressure is accelerating into the high RSI reading (continuation likely) or decelerating despite high RSI (reversal imminent).
RSI answers: "How strong was the move?"
GoG answers: "Is the move strengthening or weakening right now ?"
The first is historical. The second is predictive.
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MATHEMATICAL FOUNDATION
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Layer 1: Cumulative Volume Delta (CVD)
The foundation is order flow approximation:
• Up bar (close > prior close): Volume classified as buying pressure
• Down bar (close < prior close): Volume classified as selling pressure
• CVD = Running sum of signed volume
Interpretation: Rising CVD indicates net aggressive buying. Falling CVD indicates net aggressive selling. CVD divergence from price often precedes reversals.
Layer 2: Gamma (Second Derivative)
Gamma measures acceleration of order flow:
Formula: Gamma = CVD - 2×CVD + CVD
This is the discrete second derivative — the rate of change of the rate of change. When Gamma spikes positive, buying pressure is accelerating . When Gamma spikes negative, selling pressure is accelerating.
Layer 3: Gamma of Gamma (Third Derivative)
GoG measures jerk — the acceleration of acceleration:
Formula: GoG = Gamma - 2×Gamma + Gamma
Critical insight: Extreme GoG readings indicate that current pressure dynamics are reaching an inflection point. The system is "overextended" in its current trajectory and will likely revert or reverse.
Layer 4: Z-Score Normalization
Raw GoG values are normalized against their 50-period distribution:
Formula: GoG_Z = (GoG - Mean_50) / StdDev_50
Benefit: Z-scores are regime-adaptive. A "2.0" reading always means "2 standard deviations from normal" regardless of whether you're trading a penny stock or ES futures. This makes thresholds consistent across instruments and timeframes.
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SIGNAL GENERATION LOGIC
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Long Signal (Bullish Anticipation)
Triggers when:
• GoG Z-score < -Threshold (default -2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Selling pressure acceleration has reached an extreme negative reading. The selling is "exhausting itself" — acceleration is peaking and will soon decelerate. Buyers are likely to step in.
Short Signal (Bearish Anticipation)
Triggers when:
• GoG Z-score > +Threshold (default +2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Buying pressure acceleration has reached an extreme positive reading. The buying is "exhausting itself" — often occurs at blow-off tops, failed breakouts, or momentum climaxes.
Why Volume Confirmation?
Gamma acceleration in thin liquidity is meaningless noise. The volume filter ensures signals occur only when meaningful participation backs the pressure dynamics. This dramatically reduces false signals during low-activity periods.
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CONFIDENCE ENGINE
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Not all signals are equal. The Confidence Engine quantifies signal strength:
Confidence Calculation:
Confidence = 50 + ((|Z-Score| - Threshold) / Threshold) × 100
Capped at 100%
Visual Representation:
• Small orb = Low confidence (50-65%)
• Normal orb = Medium confidence (65-80%)
• Large orb = High confidence (80-100%)
Orb transparency also adjusts — high-confidence signals appear brighter and more prominent. This creates intuitive visual hierarchy where stronger signals demand more attention.
Practical Use:
• High confidence (>80%): Consider larger position size, tighter stops
• Medium confidence (50-80%): Standard position size
• Low confidence (<50%): Reduced size or wait for confirmation
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INTEGRATED BACKTESTER
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Every signal system needs accountability. The onboard backtester provides real-time performance tracking:
Core Metrics:
• Total Trades
• Win Rate
• Profit Factor
• Expectancy (average P&L per trade)
• Net P&L
• Max Drawdown
• Average Win / Average Loss
Methodology:
• Positions held for configurable bar count (default 10 bars)
• Forces objective evaluation independent of discretionary exits
• Updates in real-time as new trades complete
Optimizer Mode:
Enable for parameter tuning research:
• Stability Score (0-100 points): Composite evaluation of parameter robustness
• Trade Density : Signals per 1000 bars — monitors over/under-trading
• Parameter Display : Current settings for documentation
• Robustness Rating : ROBUST / STABLE / FRAGILE / OVERFIT
Stability Scoring Breakdown:
• Win Rate ≥55%: +25 points | ≥50%: +15 points | ≥45%: +5 points
• Expectancy >0.5%: +25 points | >0.1%: +15 points | >0%: +5 points
• Total Trades ≥30: +25 points | ≥20: +15 points | ≥10: +5 points
• Profit Factor ≥1.5: +25 points | ≥1.2: +15 points | ≥1.0: +5 points
Target: 60+ points indicates stable parameters. Below 40 suggests overfitting risk.
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CHART EXECUTION SIGNALS
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Unique feature: Entry and exit markers display directly on the price chart via force_overlay, even though the indicator runs in a separate pane.
Visual Markers:
• ▲ Green Triangle (below bar): Long entry at exact price level
• ▼ Red Triangle (above bar): Short entry at exact price level
• ✕ Gold X-Cross : Position exit after hold period
Benefit: Immediate visual correlation between GoG signals and price action. Review historical trades without switching between panes.
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DUAL DASHBOARD SYSTEM
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Main Dashboard — Real-Time State
Displays:
• Current GoG regime (EXTREME HIGH / EXTREME LOW / NEUTRAL)
• GoG Z-Score (numerical)
• Raw GoG value
• Gamma value
• CVD (Cumulative Volume Delta)
• Volume status (Active/Low with ratio)
• Signal state (Scanning / Long Signal / Short Signal / In Position)
• Confidence meter with visual bar
• Entry price when in position
Backtest Dashboard — Performance Metrics
Displays all backtester metrics in compact format. Switches to Optimizer view when Optimizer Mode enabled.
Both dashboards feature:
• Configurable position (6 locations including Middle Left/Right)
• Adjustable text size (Tiny/Small/Normal/Large)
• Transparency control for visual integration
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PARAMETER GUIDE
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Calculation Settings
• GoG Extreme Threshold (default 2.0): Z-score level for signal generation. Higher = fewer but stronger signals. Range: 0.5-5.0
• Gamma Smoothing (default 3): SMA period for Gamma. Lower = more responsive, more noise. Higher = smoother, more lag. Range: 1-20
• GoG Smoothing (default 5): SMA period for GoG. Filters micro-spikes while preserving structural inflections. Range: 1-20
• Min Volume Multiple (default 1.2): Volume must exceed this multiple of 20-period average. Ensures signals have participation backing. Range: 0.5-3.0
Backtester Settings
• Backtest Hold Bars (default 10): Forced holding period for backtester evaluation. Adjust based on timeframe and trading style.
• Parameter Optimizer Mode : Enables extended metrics for tuning research.
Tuning by Timeframe
Scalping (1-5 min):
Threshold: 1.5-2.0 | Gamma Smooth: 2-3 | GoG Smooth: 3-4 | Hold: 5-8 bars
Day Trading (15-60 min):
Threshold: 2.0-2.5 | Gamma Smooth: 3-5 | GoG Smooth: 5-7 | Hold: 8-12 bars
Swing Trading (4H-Daily):
Threshold: 2.5-3.0 | Gamma Smooth: 5-7 | GoG Smooth: 7-10 | Hold: 10-15 bars
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HOW TO USE: PRACTICAL WORKFLOW
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Step 1: Identify Regime
Watch the GoG Z-score line. Most of the time it oscillates within the neutral zone (between thresholds). This is "scanning" mode — no actionable signal.
Step 2: Wait for Extreme
When Z-score crosses threshold AND volume confirms, a signal fires. The orb appears in the indicator pane; the triangle appears on price chart.
Step 3: Assess Confidence
Check orb size and dashboard confidence reading:
• Large bright orb + 80%+ confidence = High conviction setup
• Small faint orb + <60% confidence = Requires additional confirmation
Step 4: Execute with Context
GoG signals anticipate — they don't confirm. Use price structure (support/resistance), higher timeframe trend, or other confirmation before entry.
Step 5: Manage Position
Exit markers show backtester exits. For live trading, consider:
• Time-based exit (signal's hold period)
• Opposite signal exit
• Fixed R:R targets
Step 6: Review Performance
Check Backtest Dashboard regularly. If Win Rate drops below 45% or Expectancy goes negative, reassess parameters or market conditions.
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WHAT THIS INDICATOR IS — AND ISN'T
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This Indicator IS:
✅ State-transition detector (balance → imbalance)
✅ Early warning system for momentum shifts
✅ Anticipation tool for pre-positioning
✅ Statistical framework with built-in accountability
This Indicator IS NOT:
❌ Mechanical buy/sell system (requires discretion)
❌ Trend-following indicator
❌ Reversal-only indicator
❌ Replacement for risk management
Best Use Cases:
• Detecting early reversals before obvious confirmation
• Anticipating breakouts during volatility compression
• Timing pullback entries in established trends
• Identifying exhaustion at momentum climaxes
Challenging Conditions:
• Extremely low volume environments
• News-driven gaps (no order flow to measure)
• Instruments with unreliable volume data
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ORIGINALITY STATEMENT
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Innovation 1: Third-Derivative Order Flow Analysis
While first and second derivatives are common, applying third-derivative (jerk) analysis to cumulative volume delta is novel. This captures inflection points that lower-order analysis misses entirely.
Innovation 2: Z-Score Adaptive Thresholds
Rather than fixed thresholds that require per-instrument tuning, z-score normalization creates self-adapting signal levels that work consistently across any liquid instrument.
Innovation 3: Confidence-Weighted Visual System
Dynamic orb sizing and transparency based on signal strength provides intuitive visual hierarchy. Stronger signals literally appear larger and brighter.
Innovation 4: Integrated Accountability
Built-in backtester with optimizer mode enables parameter validation directly on chart. No external tools or spreadsheets required.
Innovation 5: Dual-Pane Execution Visualization
Force-overlay chart signals bridge the gap between indicator pane and price action, enabling immediate visual trade review.
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LIMITATIONS & DISCLAIMERS
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Technical Limitations
• Volume classification uses bar direction (close vs prior close), not tick-level aggressor data. Precision loss estimated 10-15% vs institutional-grade data.
• CVD approximation assumes volume follows price direction. Works well in trending conditions; less precise in choppy markets.
• Backtester uses fixed hold period, not optimal exit logic. Real performance may vary with proper trade management.
Market Limitations
• Requires meaningful volume data. Avoid instruments with reported volume issues.
• Signals may cluster during high-volatility events. Not every signal should be traded.
• Anticipation signals appear early by design. Patience required — price may continue against signal briefly before reversing.
Risk Disclosure
• Trading involves risk of loss. Past performance does not guarantee future results.
• This indicator provides analysis tools, not financial advice.
• Always use proper position sizing and risk management.
• Backtest results are hypothetical and do not include slippage, commissions, or fees.
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RECOMMENDED SETTINGS BY MARKET
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Crypto (BTC, ETH, SOL)
Threshold: 1.8-2.2 | Gamma: 3 | GoG: 5 | Volume: 1.3x | TF: 15min-4H
Notes: Higher volatility produces more signals. Consider higher threshold to filter.
Forex Majors (EURUSD, GBPUSD)
Threshold: 2.0-2.5 | Gamma: 4 | GoG: 6 | Volume: 1.2x | TF: 5min-1H
Notes: Lower volatility requires patience. Volume proxy via tick volume works adequately.
Stocks (Large Cap)
Threshold: 2.0-2.5 | Gamma: 3-4 | GoG: 5-6 | Volume: 1.2x | TF: 15min-Daily
Notes: Real volume data provides cleanest signals. Watch for opening/closing auction distortions.
Futures (ES, NQ, CL)
Threshold: 2.0-2.3 | Gamma: 3 | GoG: 5 | Volume: 1.2x | TF: 5min-1H
Notes: Excellent volume data. Session boundaries may produce false signals — consider RTH only.
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CONCLUSION
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Gamma of Gamma represents a fundamental shift in signal philosophy: from reacting to momentum to anticipating momentum.
By operating at the third derivative of order flow, this system detects the mathematical signatures of regime transition — the moments when current pressure dynamics become unsustainable and reversal becomes probable.
This is not another oscillator telling you what already happened. This is an anticipation engine positioning you for what's about to happen.
Stop chasing. Start anticipating.
RSI tells you where momentum was. GoG tells you where it's going.
Taking you to school. - Dskyz , Trade with probability. Trade with anticipation. Trade with GoG
Session Range Boxes(MTF)📦 Indicator Name
Session Range Boxes (MTF)
Multi-Timeframe Directional Session Range Visualization
📘 Description
Session Range Boxes (MTF) is a multi-timeframe market structure tool that visually highlights price range behavior across different time sessions using clean, directional range boxes.
Each box represents the High–Low range of a completed or live session, automatically colored based on directional bias:
🟢 Bullish → Session Close > Session Open
🔴 Bearish → Session Close < Session Open
⚪ Neutral → Session Close = Session Open
This allows traders to instantly identify trend strength, balance zones, volatility expansion, and key support/resistance areas across multiple timeframes — all on a single chart.
🔍 What This Indicator Shows
For every enabled timeframe, the indicator:
Draws a range box from session open to session close
Continuously updates live session High & Low
Locks the final color once the session completes
Keeps historical boxes for structure and context
Supported timeframes:
Quarterly
Half-Yearly
Yearly
Monthly
Weekly
Daily
Hourly
30-Minute
15-Minute
5-Minute
⚙️ Default Behavior
By default, the indicator enables:
Weekly
Daily
Hourly
This default setup is intentionally chosen to suit most traders and provides:
Higher-timeframe structure (Weekly)
Swing context (Daily)
Intraday execution levels (Hourly)
🧠 How to Use It Effectively
📈 Higher-Timeframe Analysis (Swing / Positional Trading)
Recommended combinations:
Weekly + Daily
Monthly + Weekly
Use cases:
Identify dominant market bias
Spot compression vs expansion
Define higher-timeframe support & resistance zones
⚡ Intraday Trading (Day Trading)
Recommended combinations:
Daily + Hourly
Hourly + 30-Minute
Use cases:
Track intraday range development
Identify directional day types
Trade breakouts, rejections, or mean-reversion within session ranges
🚀 Scalping & Precision Entries
Recommended combinations:
Hourly + 15-Minute
30-Minute + 5-Minute
Use cases:
Fine-tune entries within larger session ranges
Align lower-timeframe trades with higher-timeframe bias
Spot micro range expansion and contraction
🎨 Customization Options
Bullish / Bearish / Neutral colors
Box fill transparency
Border transparency & color
Maximum historical boxes per timeframe
This allows you to keep charts clean, lightweight, and performance-friendly.
💡 Best Practices
Avoid enabling too many timeframes at once — clarity beats clutter
Use higher-timeframe boxes for bias, lower-timeframe boxes for entries
Combine with:
Market structure
Volume
VWAP
Liquidity concepts
Price action confirmation
Session Range Boxes (MTF) is a clean, powerful visual tool designed to help traders:
Understand session-based price behavior
Align trades across timeframes
Improve structure awareness without clutter
Whether you are a scalper, day trader, or swing trader, this indicator adapts seamlessly to your workflow.
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex
🔍 Overview
DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation.
This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed.
It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency.
🧠 Strategy Logic (How It Works)
DkSPro follows a sequential decision process, not a single-indicator signal:
Trend Bias (EMA Structure)
A fast and slow EMA define the directional bias.
Long trades are only allowed during bullish EMA alignment.
Short trades are only allowed during bearish EMA alignment.
This prevents counter-trend and ranging-market entries.
Market Structure & Breakout Validation
The strategy identifies recent swing highs and lows.
Trades are triggered only after a confirmed breakout of structure, not during consolidation.
This avoids early entries and false momentum moves.
Volume Confirmation
Volume must exceed its moving average by a defined multiplier.
This ensures participation and filters out low-liquidity breakouts.
Volume thresholds adapt depending on the selected trading mode.
Momentum Confirmation (RSI)
RSI is used strictly as a momentum filter, not as a standalone signal.
It confirms that price movement aligns with the breakout direction.
Risk Management (Mandatory)
Every position includes a predefined Stop Loss and Take Profit.
Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits.
All conditions must align simultaneously; otherwise, no trade is executed.
⚙️ Trading Modes
SAFE Mode
Stronger volume and RSI thresholds
Fewer trades, higher selectivity
Designed for risk control and consistency
AGGRESSIVE Mode
Slightly relaxed filters
Higher trade frequency during strong momentum
Intended for experienced users only
📊 Markets & Assets
This strategy has been actively used and tested on:
🟢 Crypto (Binance / Binance.US)
SOL-USDT
XRP-USDT
Other high-liquidity pairs (BTC, ETH)
Crypto mode benefits from stronger volume confirmation to adapt to higher volatility.
🔵 Forex
Major pairs such as EURUSD, GBPUSD, USDJPY
Optimized for liquid markets with lower relative volume
The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class.
⏱ Recommended Timeframes
Crypto: 5m – 15m
Forex: 15m – 1H
Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior.
🧪 Backtesting & Settings Transparency
Default strategy properties are intentionally conservative to reflect realistic conditions:
Initial capital: $20,000
Position size: 2% of equity
Commission: 0.08%
Slippage: 1 tick
Fixed Stop Loss and Take Profit on every trade
Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades).
📈 Originality & Usefulness
DkSPro is not a simple indicator mashup.
Each component serves a specific role in a layered confirmation system:
EMAs define direction
Structure defines timing
Volume validates participation
RSI confirms momentum
Risk management controls exposure
Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator.
⚠️ Important Notes
This script is an analysis and execution tool, not financial advice.
Market conditions change, and no strategy performs well in all environments.
Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance.
🧩 Version Notice
This publication represents a consolidated and refined version of an internal experimental script.
No parallel or duplicate versions are intended.
All future improvements will be released exclusively using TradingView’s Update feature.
🇪🇸 Descripción en Español (Resumen)
DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo.
Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar.
Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
Auto Fibonacci Lines Depending on ZigZag %In the world of technical analysis, few tools are as powerful—or as misused—as Fibonacci Retracements. The Auto Fibonacci Lines Depending on ZigZag % is not just an indicator; it is a complete, automated trading system designed to eliminate subjectivity and bring institutional-grade precision to your charts.
This script automates the identification of significant market structures using a ZigZag algorithm. Once a market swing is mathematically confirmed (based on your deviation settings), it instantly projects a complete suite of Retracement and Extension levels. This allows you to stop guessing where to draw your lines and start focusing on price action.
🧠 The Logic Behind the Indicator
Understanding how your tools work is the first step to trusting them. This script operates on a three-step logic loop:
ZigZag Identification:
The script continuously monitors price action relative to the last known pivot point. It uses a user-defined Deviation % to filter out market noise. A new "Leg" is only confirmed when price reverses by this specific percentage. This ensures that the Fibonacci lines are only drawn on significant market moves, not random chop.
Automated Anchor Points:
Once a downward trend is confirmed (e.g., price drops 30% from the top), the script automatically anchors the Fibonacci tool to the Swing High (Start) and the Swing Low (End). It does this without you needing to click or drag anything.
Dynamic Cleanup:
Markets evolve. A key feature of this script is its self-cleaning mechanism. As soon as a new trend leg is confirmed, the script automatically deletes the old, invalidated Fibonacci lines and draws a fresh set for the new structure. This keeps your chart clean and focused on the now.
🎓 How to Trade This System
This indicator is color-coded to simplify your decision-making process. It moves beyond standard "rainbow" charts by categorizing price levels into three distinct actionable zones.
1. The "Reload Zone" (White Lines: 0.618 - 0.786) ⚪
Role: High-Probability Support / Entry
In institutional trading, the 0.618 (Golden Ratio) to 0.786 region is often where algorithms step in to defend a trend.
Why it works : This is the "discount" area where smart money re-accumulates positions before the next leg up.
2. The "Decision Wall" (Blue Lines: 1.382 - 1.5) 🔵
Role: Strong Resistance / Trend Check
This is a unique feature of this suite. The 1.382 and 1.5 levels often act as a "ceiling" for weak breakouts.
Strategy : If you entered in the White Zone, the Blue Zone is your first major hurdle. If price stalls here, consider securing partial profits.
Warning : A rejection from the Blue Lines often leads to a double-top formation. However, a clean break above the Blue Lines usually signals a parabolic move is beginning.
3. The "Extension Zone" (Yellow, Red, Purple > 1.618) 🟡🔴
Role : Take Profit / Exhaustion
Levels above 1.5 (starting with the 1.618 Golden Extension) are statistical extremes.
Strategy : These are Strict Take Profit levels. Do not FOMO (Fear Of Missing Out) into new long positions here. The probability of a reversal increases drastically as price climbs through these levels (2.618, 3.618, 4.618).
📐 The Mathematical Edge: Logarithmic vs. Linear
One of the most critical features of this script is the ability to toggle between Logarithmic and Linear calculations.
Why use Logarithmic?
If you are trading Crypto (Bitcoin, Altcoins) or high-growth Tech Stocks, linear Fibonacci levels are mathematically incorrect over large moves. A 50% drop from $100 is different than a 50% drop from $10.
This script calculates the percentage difference (Log Scale), ensuring your targets are accurate even during 100%+ parabolic runs.
Why use Linear?
For mature markets like Forex (EURUSD) or Indices (SPX500) where volatility is lower, Linear scaling is the industry standard.
🛠️ Configuration & Best Practices
Deviation % : This is the heartbeat of the indicator.
Swing Trading : Set to 20-30%. This filters out noise and only draws Fibs on major macro moves.
Scalping : Set to 3-5%. This will catch smaller intraday waves.
Text Place : Keeps your chart clean by pushing labels to the right, ensuring they don't overlap with the current price action.
👤 Who Is This Indicator For?
The Disciplined Trader : Who wants to remove emotional bias from their charting.
The Crypto Investor : Who needs accurate Logarithmic targets for long-term holding.
The Confluence Trader : Who combines these automated levels with Order Blocks, RSI, or Volume to find the perfect entry.
⚠️ RISK DISCLAIMER & TERMS OF USE
For Educational Purposes Only:
This script and the strategies described herein are provided strictly for educational and informational purposes. They do not constitute financial, investment, or trading advice. The "Auto Fibonacci Lines" indicator is a tool for technical analysis and should not be used as the sole basis for any trading decision.
No Guarantees:
Past performance of any trading system or methodology is not necessarily indicative of future results. Financial markets are inherently volatile, and trading involves a high level of risk. You could lose some or all of your capital.
User Responsibility:
By using this script, you acknowledge that you are solely responsible for your own trading decisions and risk management. The author assumes no liability for any losses or damages resulting from the use of this tool or the information provided. Always consult with a qualified financial advisor before making investment decisions.
Forecast OscillatorGeneral Overview
The Forecast Oscillator Plus (FOSC+) is not just another oscillator. It is an advanced quantitative analysis tool developed to bridge the gap left by traditional momentum indicators (like RSI or Stochastic) which often suffer from "lag" or remain pinned in extreme zones during strong trends.
This "Plus" version has been specifically engineered and optimized for high-velocity scalping and day-trading on assets like NAS100 (Nasdaq) and XAUUSD (Gold) using ultra-short timeframes (1-min, 5-min).
🛡️ Why is FOSC+ Different?
1. Linear Regression Intelligence
At the heart of this script is a powerful Linear Regression (LinReg) engine. Instead of comparing price to a simple average, FOSC+ calculates the percentage deviation between the current price and its predicted theoretical trajectory. This allows the indicator to identify not just if the price is "high" or "low," but if it is abnormally distanced from its current trend, signaling an imminent Mean Reversion.
2. Adaptive Dynamic Bands (Volatility-Adjusted)
A major weakness of classic oscillators is the use of fixed levels (e.g., 80/20). FOSC+ utilizes Standard Deviation to generate overbought and oversold zones that "breathe" with the market.
During high volatility, the bands expand to filter out noise and premature entries.
During low volatility, they tighten to capture precise turning points.
3. Institutional Volume Filter (Anti-Fakeout)
To succeed in the Nasdaq market, you must follow the "Smart Money." This script integrates a Volume Spike Filter. A signal (Buy/Sell) is only triggered if the current candle's volume is significantly higher than its moving average (adjustable multiplier). This ensures you only enter trades backed by real institutional strength.
4. Algo-Ready for PineConnector
The code has been structured for seamless automation. With built-in EMA smoothing to reduce 1-minute "market chatter," the signals are clean and sharp, minimizing execution errors when sending orders to MetaTrader 5 via PineConnector.
📈 Technical Trading Guide
Buy Signals (Green Triangle): Occur when the oscillator crosses above the dynamic oversold band OR crosses back above the zero line, provided that volume confirms the impulse.
Sell Signals (Red Triangle): Occur when the oscillator crosses below the dynamic overbought band OR breaks below the zero line from above, with volume confirmation.
Momentum Histogram: The colored columns indicate acceleration strength. Excellent for Trailing Stops: as long as the histogram is growing, the momentum is in your favor!.
⚙️ Recommended Parameters
Length (14): The "Sweet Spot" for balancing reactivity and reliability.
Smooth Len (4): Essential for 1-min charts to eliminate micro-fluctuations without adding lag.
Volume Mult (1.15): Filters out the bottom 15% of volume to keep only significant candles.
⚠️ Stress-Tested for Real Conditions
This script has been rigorously backtested with Slippage settings ranging from 10 to 25 points. Even under difficult market conditions with high spreads, the indicator maintains a positive expectancy, making it a premier tool for traders using Standard or Raw accounts.
Adaptive RSI [BOSWaves]Adaptive RSI - Percentile-Based Momentum Detection with Dynamic Regime Thresholds
Overview
Adaptive RSI is a self-calibrating momentum oscillator that identifies overbought and oversold conditions through historical percentile analysis, constructing dynamic threshold boundaries that adjust to evolving market volatility and momentum characteristics.
Instead of relying on traditional fixed RSI levels (30/70 or 20/80) or static overbought/oversold zones, regime detection, threshold placement, and signal generation are determined through rolling percentile calculation, smoothed momentum measurement, and divergence pattern recognition.
This creates adaptive boundaries that reflect actual momentum distribution rather than arbitrary fixed levels - tightening during low-volatility consolidation periods, widening during trending environments, and incorporating divergence analysis to reveal momentum exhaustion or continuation patterns.
Momentum is therefore evaluated relative to its own historical context rather than universal fixed thresholds.
Conceptual Framework
Adaptive RSI is founded on the principle that meaningful momentum extremes emerge relative to recent price behavior rather than at predetermined numerical levels.
Traditional RSI implementations identify overbought and oversold conditions using fixed thresholds that remain constant regardless of market regime, often generating premature signals in strong trends or missing reversals in range-bound markets. This framework replaces static threshold logic with percentile-driven adaptive boundaries informed by actual momentum distribution.
Three core principles guide the design:
Threshold placement should correspond to historical momentum percentiles, not fixed numerical levels.
Regime detection must adapt to current market volatility and momentum characteristics.
Divergence patterns reveal momentum exhaustion before price reversal becomes visible.
This shifts oscillator analysis from universal fixed levels into adaptive, context-aware regime boundaries.
Theoretical Foundation
The indicator combines smoothed RSI calculation, rolling percentile tracking, adaptive threshold construction, and multi-pattern divergence detection.
A Hull Moving Average (HMA) pre-smooths the price source to reduce noise before RSI computation, which then undergoes optional post-smoothing using configurable moving average types. Confirmed oscillator values populate a rolling historical buffer used for percentile calculation, establishing upper and lower thresholds that adapt to recent momentum distribution. Regime state persists until the oscillator crosses the opposing threshold, preventing whipsaw during consolidation. Pivot detection identifies swing highs and lows in both price and oscillator values, enabling regular divergence pattern recognition through comparative analysis.
Five internal systems operate in tandem:
Smoothed Momentum Engine : Computes HMA-preprocessed RSI with optional post-smoothing using multiple MA methodologies (SMA, EMA, HMA, WMA, DEMA, RMA, LINREG, TEMA).
Historical Buffer Management : Maintains a rolling array of confirmed oscillator values for percentile calculation with configurable lookback depth.
Percentile Threshold Calculation : Determines upper and lower boundaries by extracting specified percentile values from sorted historical distribution.
Persistent Regime Detection : Establishes bullish/bearish/neutral states based on threshold crossings with state persistence between signals.
Divergence Pattern Recognition : Identifies regular bullish and bearish divergences through synchronized pivot analysis of price and oscillator values with configurable range filtering.
This design allows momentum interpretation to adapt to market conditions rather than reacting mechanically to universal thresholds.
How It Works
Adaptive RSI evaluates momentum through a sequence of self-calibrating processes:
Source Pre-Smoothing: Input price undergoes 4-period HMA smoothing to reduce bar-to-bar noise before oscillator calculation.
RSI Calculation: Standard RSI computation applied to smoothed source over configurable length period.
Optional Post-Smoothing: Raw RSI value undergoes additional smoothing using selected MA type and length for cleaner regime detection.
Historical Buffer Population: Confirmed oscillator values accumulate in a rolling array with size limit determined by adaptive lookback parameter.
Percentile Threshold Extraction: Array sorts on each bar to calculate upper percentile (bullish threshold) and lower percentile (bearish threshold) values.
Regime State Persistence: Bullish regime activates when oscillator crosses above upper threshold, bearish regime activates when crossing below lower threshold, neutral regime persists until directional threshold breach.
Pivot Identification: Swing highs and lows detected in both oscillator and price using configurable left/right parameters.
Divergence Pattern Matching: Compares pivot relationships between price and oscillator within min/max bar distance constraints to identify regular bullish (price LL, oscillator HL) and bearish (price HH, oscillator LH) divergences.
Together, these elements form a continuously updating momentum framework anchored in statistical context.
Interpretation
Adaptive RSI should be interpreted as context-aware momentum boundaries:
Bullish Regime (Blue): Activated when oscillator crosses above upper percentile threshold, indicating momentum strength relative to recent distribution favors upside continuation.
Bearish Regime (Red): Established when oscillator crosses below lower percentile threshold, identifying momentum weakness relative to recent distribution favors downside continuation.
Upper Threshold Line (Blue)**: Dynamic resistance level calculated from upper percentile of historical oscillator distribution - adapts higher during trending markets, lower during ranging conditions.
Lower Threshold Line (Red): Dynamic support level calculated from lower percentile of historical oscillator distribution - adapts lower during downtrends, higher during consolidation.
Regime Fill: Gradient coloring between oscillator and baseline (50) visualizes current momentum intensity - stronger color indicates greater distance from neutral.
Extreme Bands (15/85): Upper and lower extreme zones with strength-modulated transparency reveal momentum extremity - darker shading during powerful moves, lighter during moderate momentum.
Divergence Lines: Connect price and oscillator pivots when divergence pattern detected, appearing on both price chart and oscillator pane for confluence identification.
Reversal Markers (✦): Diamond signals appear at 80+ (bearish extreme) and sub-15 (bullish extreme) levels, marking potential exhaustion zones independent of regime state.
Percentile context, divergence confirmation, and regime persistence outweigh isolated oscillator readings.
Signal Logic & Visual Cues
Adaptive RSI presents four primary interaction signals:
Regime Switch - Long : Oscillator crosses above upper percentile threshold after previously being in bearish or neutral regime, suggesting momentum strength shift favoring bullish continuation.
Regime Switch - Short : Oscillator crosses below lower percentile threshold after previously being in bullish or neutral regime, indicating momentum weakness shift favoring bearish continuation.
Regular Bullish Divergence (𝐁𝐮𝐥𝐥) : Price forms lower low while oscillator forms higher low, revealing positive momentum divergence during downtrends - often precedes reversal or consolidation.
Regular Bearish Divergence (𝐁𝐞𝐚𝐫) : Price forms higher high while oscillator forms lower high, revealing negative momentum divergence during uptrends - often precedes reversal or correction.
Alert generation covers regime switches, threshold crossings, and divergence detection for systematic monitoring.
Strategy Integration
Adaptive RSI fits within momentum-informed and mean-reversion trading approaches:
Adaptive Regime Following : Use threshold crossings as primary trend inception signals where momentum confirms directional breakouts within statistical context.
Divergence-Based Reversals : Enter counter-trend positions when divergence patterns appear at extreme oscillator levels (above 80 or below 20) for high-probability mean-reversion setups.
Threshold-Aware Scaling : Recognize that tighter percentile spreads (e.g., 45/50) generate more signals suitable for ranging markets, while wider spreads (e.g., 30/70) filter for stronger trend confirmation.
Extreme Zone Confluence : Combine reversal markers (✦) with divergence signals for maximum-conviction exhaustion entries.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant momentum direction.
Smoothing Optimization : Increase smoothing length in choppy markets to reduce false signals, decrease in trending markets for faster response.
Technical Implementation Details
Core Engine : HMA-preprocessed RSI with configurable smoothing (SMA, HMA, EMA, WMA, DEMA, RMA, LINREG, TEMA)
Adaptive Model : Rolling percentile calculation over confirmed oscillator values with size-limited historical buffer
Threshold Construction : Linear interpolation percentile extraction from sorted distribution array
Regime Detection : State-persistent threshold crossing logic with confirmed bar validation
Divergence Engine : Pivot-based pattern matching with range filtering and duplicate prevention
Visualization : Gradient-filled regime zones, adaptive threshold lines, strength-modulated extreme bands, dual-pane divergence lines
Performance Profile : Optimized for real-time execution with efficient array management and minimal computational overhead
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure momentum detection for scalping and intraday reversals
15 - 60 min : Intraday regime identification with divergence-validated turning points
4H - Daily : Swing and position-level momentum analysis with macro divergence context
Suggested Baseline Configuration:
RSI Length : 18
Source : Close
Smooth Oscillator : Enabled
Smoothing Length : 20
Smoothing Type : SMA
Adaptive Lookback : 1000
Upper Percentile : 50
Lower Percentile : 45
Divergence Pivot Left : 15
Divergence Pivot Right : 15
Min Pivot Distance : 5
Max Pivot Distance : 60
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Too many whipsaw signals : Widen percentile spread (e.g., 40/60 instead of 45/50) to demand stronger momentum confirmation, or increase "Smoothing Length" to filter noise.
Missing legitimate regime changes : Tighten percentile spread (e.g., 48/52 instead of 45/50) for earlier detection, or decrease "Smoothing Length" for faster response.
Oscillator too choppy : Increase "Smoothing Length" for cleaner readings, or switch "Smoothing Type" to RMA/TEMA for heavier smoothing.
Thresholds not adapting properly : Reduce "Adaptive Lookback" to emphasize recent behavior (500-800 bars), or increase it for more stable thresholds (1500-2000 bars).
Too many divergence signals : Increase "Pivot Left/Right" values to demand stronger swing confirmation, or widen "Min Pivot Distance" to space out detections.
Missing significant divergences : Decrease "Pivot Left/Right" for faster pivot detection, or increase "Max Pivot Distance" to compare more distant swings.
Prefer different momentum sensitivity : Adjust "RSI Length" - lower values (10-14) for aggressive response, higher values (21-28) for smoother trend confirmation.
Divergences appearing too late : Reduce "Pivot Right" parameter to detect divergences closer to current price action.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with mean-reverting characteristics and consistent momentum cycles
Instruments where momentum extremes reliably precede reversals or consolidations
Ranging environments where percentile-based thresholds adapt to volatility contraction
Divergence-driven strategies targeting momentum exhaustion before price confirmation
Reduced Effectiveness:
Extremely strong trending markets where oscillator remains persistently extreme
Low-liquidity environments with erratic momentum readings
News-driven or gapped markets where momentum disconnects from price temporarily
Markets with regime shifts faster than adaptive lookback can recalibrate
Integration Guidelines
Confluence : Combine with BOSWaves structure, volume analysis, or traditional support/resistance
Threshold Respect : Trust signals that occur after clean threshold crossings with sustained momentum
Divergence Context : Prioritize divergences appearing at extreme oscillator levels (80+/15-) over those in neutral zones
Regime Awareness : Consider whether current market regime matches historical momentum patterns used for calibration
Multi-Pattern Confirmation : Seek divergence patterns coinciding with reversal markers or threshold rejections for maximum conviction
Disclaimer
Adaptive RSI is a professional-grade momentum and divergence analysis tool. It uses percentile-based threshold calculation that adapts to recent market behavior but cannot predict future regime shifts or guarantee reversal timing. Results depend on market conditions, parameter selection, lookback period appropriateness, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Neeson bitcoin Dynamic ATR Trailing SystemNeeson bitcoin Dynamic ATR Trailing System: A Comprehensive Guide to Volatility-Adaptive Trend Following
Introduction
The Dynamic ATR Trailing System (DATR-TS) represents a sophisticated approach to trend following that transcends conventional moving average or breakout-based methodologies. Unlike standard trend-following systems that rely on price pattern recognition or fixed parameter oscillators, this system operates on the principle of volatility-adjusted position management—a nuanced approach that dynamically adapts to changing market conditions rather than imposing rigid rules on market behavior.
Originality and Innovation
Distinct Methodological Approach
What sets DATR-TS apart from hundreds of existing trend-following systems is its dual-layered conditional execution framework. While most trend-following systems fall into one of three broad categories—moving average crossovers, channel breakouts, or momentum oscillators—this system belongs to the more specialized category of volatility-normalized trailing stop systems.
Key Original Contributions:
Volatility-Threshold Signal Filtering: Most trend systems generate signals continuously, leading to overtrading during low-volatility periods. DATR-TS implements a proprietary volatility filter that requires minimum market movement before generating signals, effectively separating high-probatility trend opportunities from market noise.
Self-Contained Position State Management: Unlike traditional systems that require external position tracking, DATR-TS maintains an internal position state that prevents contradictory signals and creates a closed-loop decision framework.
Dynamic Risk Parameter Adjustment: The system doesn't use fixed percentage stops or rigid ATR multiples. Instead, it implements a responsive adjustment mechanism that widens stops during high volatility and tightens them during low volatility, creating an optimal balance between risk protection and opportunity capture.
Trader-Centric Visualization Philosophy: Beyond mere signal generation, the system provides a comprehensive visual feedback system designed to align with human cognitive patterns, reducing emotional decision-making through consistent color coding and information hierarchy.
Technical Implementation and Functionality
Core Operational Mechanism
DATR-TS implements a volatility-adjusted trend persistence model that operates on the principle that trending markets exhibit characteristic volatility signatures. The system specifically targets medium-term directional movements (typically lasting 5-20 days) rather than short-term scalping opportunities or long-term position trades.
The Four-Pillar Architecture:
Volatility Measurement and Normalization
Calculates Average True Range (ATR) over a user-defined period
Converts absolute volatility to percentage terms relative to price
Compares current volatility against user-defined thresholds to filter suboptimal conditions
Dynamic Trailing Stop Algorithm
Establishes an initial stop distance based on current volatility
Implements a four-state adjustment mechanism that responds to price action
Maintains stop position during trend continuation while allowing for trend reversal detection
Conditional Signal Generation
Generates entry signals only when price action meets both directional and volatility criteria
Produces exit signals based on trailing stop penetration
Incorporates position state awareness to prevent conflicting signals
Comprehensive Feedback System
Provides multi-layer visual information including dynamic stop lines, signal labels, and color-coded price action
Displays real-time metrics through an integrated dashboard
Offers configurable visualization options for different trading styles
Specific Trend-Following Methodology
DATR-TS employs a volatility-normalized trailing stop breakout approach, which differs significantly from common trend identification methods:
Not a moving average crossover system (like MACD or traditional MA crosses)
Not a channel breakout system (like Bollinger Band or Donchian Channel breaks)
Not a momentum oscillator system (like RSI or Stochastic trend following)
Not a price pattern recognition system (like head-and-shoulders or triangle breaks)
Instead, it belongs to the more specialized category of volatility-adjusted stop-and-reverse systems that:
Wait for market volatility to reach actionable levels
Establish positions when price confirms directional bias through stop penetration
Manage risk dynamically based on evolving market conditions
Exit positions when the trend exhausts itself through stop violation
Practical Application and Usage
Market Environment Optimization
Ideal Conditions:
Trending markets with sustained directional movement
Medium volatility environments (neither excessively calm nor chaotic)
Timeframes: 4-hour to daily charts for optimal signal quality
Instruments: Forex majors, commodity futures, equity indices
Suboptimal Conditions:
Ranging or consolidating markets
Extreme volatility events or news-driven spikes
Very short timeframes (below 1-hour)
Illiquid or highly manipulated instruments
Parameter Configuration Strategy
Core Parameter Philosophy:
ATR Length (Default: 21 periods)
Controls the system's memory of volatility
Shorter lengths increase sensitivity but may cause overtrading
Longer lengths provide smoother signals but may lag during volatility shifts
ATR Multiplier (Default: 6.3x)
Determines the initial risk buffer
Lower values (4-5x) create tighter stops for conservative trading
Higher values (6-8x) allow for larger trends but increase drawdown risk
Volatility Threshold (Default: 1.5%)
Filters out low-quality trading environments
Adjust based on market characteristics (higher for volatile markets)
Acts as a quality control mechanism for signals
Trading Workflow and Execution
Signal Interpretation and Action:
Entry Protocol:
Wait for BLUE "BUY" signal label appearance
Confirm volatility conditions meet threshold requirements
Enter long position at market or next reasonable opportunity
Set initial stop at displayed dynamic stop level
Position Management:
Monitor dynamic stop line for position adjustment
Allow profits to run while stop protects capital
No manual adjustment required—system manages stop automatically
Exit Protocol:
Exit on ORANGE "SELL" signal label appearance
Alternative exit if price hits dynamic stop level
System will generate new entry signal if conditions warrant re-entry
Risk Management Integration:
Position sizing based on distance to dynamic stop
Volatility filter prevents trades during unfavorable conditions
Clear visual feedback on current risk exposure
Built-in protection against overtrading
Philosophical Foundation and Market Theory
Core Trading Principles
DATR-TS embodies several foundational market principles:
Volatility Defines Opportunity
Markets don't trend continuously—they alternate between trending and ranging phases
Volatility provides the energy for trends to develop and sustain
By measuring and filtering volatility, we can focus on high-probability trend phases
Risk Should Be Proportional
Fixed percentage stops ignore market context
Dynamic stops that adjust with volatility provide more appropriate risk management
Position sizing should reflect current market conditions, not arbitrary rules
Simplicity Through Sophistication
Complex systems often fail in real-world conditions
A simple core algorithm with intelligent filtering outperforms complex multi-indicator approaches
Clear visual feedback reduces cognitive load and emotional interference
Trends Persist Until Proven Otherwise
Markets exhibit momentum characteristics
Once a trend establishes itself, it tends to continue
The trailing stop methodology captures this persistence while providing exit mechanisms
Mathematical and Statistical Foundation
The system operates on several statistical market observations:
Volatility Clustering Phenomenon
High volatility periods tend to follow high volatility periods
Low volatility periods tend to follow low volatility periods
By filtering for adequate volatility, we increase the probability of capturing meaningful trends
Trend Magnitude Distribution
Most trends are small to medium in magnitude
Very large trends are rare but account for disproportionate returns
The dynamic stop methodology allows capture of varying trend magnitudes
Autocorrelation in Price Movements
Price movements exhibit short-term positive autocorrelation during trends
This persistence allows trailing stops to capture continued movement
The system leverages this characteristic without requiring explicit autocorrelation calculation
Performance Characteristics and Expectations
Typical System Behavior
Signal Frequency:
Low to moderate signal generation (prevents overtrading)
Signals concentrated during trending market phases
Extended periods without signals during ranging conditions
Risk-Reward Profile:
Win rate typically 40-60% in trending conditions
Average win larger than average loss
Risk-reward ratios of 1:2 to 1:3 achievable
Drawdown Patterns:
Controlled through volatility adjustment
Larger drawdowns during extended ranging periods
Recovery typically follows when trending conditions resume
Comparison with Alternative Approaches
Versus Moving Average Systems:
Less prone to whipsaws during ranging markets
Better adaptation to changing volatility conditions
Clearer exit signals through stop levels
Versus Channel Breakout Systems:
More responsive to emerging trends
Lower false breakout probability
Dynamic risk adjustment rather than fixed parameters
Versus Momentum Oscillator Systems:
Better trend persistence capture
Less susceptible to overbought/oversold false signals
Clearer position management rules
Educational Value and Skill Development
Learning Opportunities
DATR-TS serves as more than just a trading tool—it provides educational value through:
Market Condition Awareness
Teaches traders to distinguish between trending and ranging markets
Develops understanding of volatility's role in trading opportunities
Encourages patience and selectivity in trade execution
Risk Management Discipline
Demonstrates dynamic position sizing principles
Illustrates the importance of adaptive stops
Reinforces the concept of risk-adjusted returns
Psychological Skill Development
Reduces emotional trading through clear rules
Builds patience through conditional execution
Develops discipline through systematic approach
Customization and Evolution
The system provides a foundation for further development:
Beginner Level:
Use default parameters for initial learning
Focus on signal recognition and execution discipline
Develop understanding of system behavior across market conditions
Intermediate Level:
Adjust parameters based on specific market characteristics
Combine with complementary analysis techniques
Develop personal variations based on trading style
Advanced Level:
Integrate with portfolio management systems
Develop automated execution frameworks
Create derivative systems for specialized applications
Conclusion: The Modern Trend-Following Paradigm
The Dynamic ATR Trailing System represents a significant evolution in trend-following methodology. By moving beyond simple price pattern recognition or fixed parameter oscillators, it embraces the complex reality of financial markets where volatility, trend persistence, and risk management interact dynamically.
This system doesn't claim to predict market direction or identify tops and bottoms. Instead, it provides a systematic framework for participating in trends when they emerge, managing risk appropriately as conditions change, and preserving capital during unfavorable environments.
For traders seeking a methodology that combines mathematical rigor with practical execution, adapts to changing market conditions rather than fighting against them, and provides clear, actionable information without cognitive overload, DATR-TS offers a sophisticated yet accessible approach to modern trend following.
The true value lies not in any single signal or parameter setting, but in the comprehensive philosophy of volatility-aware, risk-adjusted, conditionally-executed trend participation that the system embodies—a philosophy that aligns with how markets actually behave rather than how we might wish them to behave.
Multi-Factor ConsensusMFC (Market Field Coherence)
A Triumph of Complexity: The Fusion of Three Professional Engines to Visualize the Unified
Mind of the Market
█ OVERVIEW: BEYOND THE INDICATOR
This is not another lagging indicator. This is a command suite.
MFC (Market Field Coherence) is not a single tool, but a seamless integration of three professional-grade, independent analytical engines fused into a singular, awe-inspiring system. It's a masterwork of signal processing and applied mathematics designed to visualize the invisible—the collective, underlying state of the market.
It moves beyond the simplistic analysis of individual price bars to measure something far more profound: the degree of emergent coherence across an entire ensemble of market oscillators. While traditional tools see the market as a series of disconnected data points, MFC sees it as a dynamic, fluctuating field of forces. By deploying its three specialized engines, MFC identifies moments of critical transition when disparate, chaotic market inputs converge into a single, unified, and tradable state of being. It measures the very instant the "noise" becomes a "symphony," and generates signals only when all three engines are in unanimous agreement.
█ A TRINITY OF SYSTEMS: THREE INDICATORS IN ONE
MFC's unparalleled precision comes from its unique tripartite architecture. It is not a monolithic tool. It is a fusion of three distinct, professional-grade analytical engines, each performing a critical and independent function. Their synergy is what produces the high-quality, filtered signals and the profound analytical clarity.
ENGINE 1: The Quantum Coherence Engine
The heart of the system. This is a pure regime-detection indicator. Its sole purpose is to perform the heavy lifting of converting the oscillator ensemble into complex-plane phasors and calculating the two most critical metrics: the Coherence Index (CI) and the Dominant Phase . It constantly works to answer the primary question: " How unified is the market, and in which direction is it leaning? "
ENGINE 2: The Multi-Layer Confirmation Matrix
A high CI from the first engine is not enough. This second, independent engine acts as the ultimate quality filter. It is, in essence, a sophisticated confirmation indicator that runs two rigorous, non-negotiable checks: the Phase-Lock Detector (is the alignment tight enough?) and the Pairwise Entanglement Web (is the alignment broad-based and not a fluke?). This is a purely logical system designed to reject ambiguity, eliminate false positives, and validate the findings of the Coherence Engine. It answers the crucial follow-up question: " Is this detected coherence real, or is it a statistical ghost? "
ENGINE 3: The Advanced Visualization Suite
Raw data is meaningless without interpretation. This third engine is a full-fledged visual indicator in its own right, dedicated to translating the abstract mathematics from the other two engines into an intuitive, multi-dimensional language. Featuring the revolutionary Circular Orbit Plot , the atmospheric Quantum Field Cloud , and deep-dive analytical grids, it allows you to see the market's state in a way that numbers alone never could. It answers the final question: " What does this confirmed state of coherence actually look like? "
An Ignition Signal only fires when all three of these independent systems reach a unanimous conclusion. This is the source of MFC's power and precision.
█ THE PHILOSOPHY & THEORETICAL FOUNDATION
MFC is built upon a synthesis of advanced mathematical frameworks, each chosen for its unique ability to extract a deeper layer of truth from market data. Their combination across the three engines creates a system far greater than the sum of its parts.
1. The Kernel: Gaussian-Weighted Smoothing for Intelligent Lag Reduction
Simple and Exponential Moving Averages are primitive tools. MFC's engines reject them. We employ a Gaussian Kernel for all internal smoothing. This "bell curve" weighting assigns the most significance to the most recent data, gracefully decaying influence for older data. The result is a beautifully smooth yet highly responsive measure of coherence, fundamentally reducing the lag that plagues other systems.
The formula for the weight w at a distance i from the center μ is:
w(i) = exp(- (i - μ)² / (2 * σ²))
2. The Lens: Sigmoid Normalization for Non-Linear State Definition
To compare an RSI of 80 to a MACD of 0.5, MFC utilizes the robust and mathematically elegant Sigmoid (Logistic) Function. Its non-linear, "S-shaped" curve squashes any input into a perfect, bounded range, creating extreme sensitivity near the neutral midpoint and gracefully compressing values at the extremes. This provides a crystal-clear distinction between "weak," "strong," and "extreme" conditions.
f(x) = 1 / (1 + exp(-k * x))
3. The Engine: Complex-Plane Phasors for Coherence Measurement
This is the heart of Engine 1. Each normalized oscillator is transformed from a single scalar value into a two-dimensional vector (a phasor) in the complex plane, capturing its magnitude (strength) and its phase angle (position and velocity).
Resultant Vector (R) = Σ e^(iφₙ) = Σ cos(φₙ) + i·Σ sin(φₙ)
The Coherence Index (CI) is the magnitude of this resultant vector, normalized by the number of oscillators N:
CI = |R| / N
This mathematical blending— Gaussian smoothing for clean data, Sigmoid normalization to define state, and Complex-Plane Analysis to measure collective coherence—is what allows MFC to generate insight that is simply impossible to achieve with conventional tools.
█ THE INPUTS MENU: YOUR COMMAND & CONTROL
Every parameter is exposed, allowing you to fine-tune MFC's three engines to any instrument, timeframe, or trading style. Here is an exhaustive guide:
Oscillator Settings (Engine 1)
Enable/Disable Toggles & Lengths: Construct the perfect ensemble for your market. Shorter lengths for scalping (e.g., 5m chart), longer lengths for swing trading (e.g., 4H chart). Disable any oscillator that consistently acts as an outlier to reduce noise.
Normalization Anchors: Define the "extreme" boundaries for the Sigmoid function. Widen these anchors (e.g., RSI 80/20) for highly volatile assets to better capture the larger price swings.
Coherence & Confirmation Settings (Engines 1 & 2)
CI Smoothing Window: Controls the Gaussian Kernel for the final Coherence Index. A short window (2-4) offers a fast reaction for scalpers. A longer window (5-10) creates a smoother CI line for swing traders.
Ignition Threshold: The CI level needed to activate a signal check. A lower threshold (0.70) generates more signals. A higher threshold (0.85) produces fewer, but extremely high-conviction signals.
Phase Lock Tolerance & Min Entangled Pairs: These are the core parameters for the Confirmation Engine (Engine 2). Use tighter tolerances (e.g., 25°) and a higher number of pairs (e.g., 5+) to demand an incredibly high standard for signal confirmation.
█ THE DASHBOARD: YOUR QUANTITATIVE READOUT
The dashboard provides a real-time, numerical dissection of the market field, summarizing the outputs of all three engines.
CI (Coherence Index): What it is: The master metric from Engine 1. How to interpret: < 40% (Chaos): The market is disjointed. 40-70% (Coherent): A regime is forming. > 70% (Ignition Zone): High consensus.
Dom Phase (Dominant Phase): What it is: The "average" direction from Engine 1. How to interpret: The arrow gives the immediate directional bias.
Field Strength: What it is: CI × Average Amplitude . How to interpret: Measures alignment with conviction. A high Field Strength is the signature of a powerful, aggressive trend.
Entangled Pairs & Phase Lock: What they are: The direct readouts from the Confirmation Engine (Engine 2). How to interpret: The 🔒 symbol and a high pair count are the final "green lights" before a signal can be generated.
State: What it is: A real-time classification of the market's condition based on the combined output of all engines. How to interpret:
🚀 IGNITION: All three engines are in unanimous, bullish/bearish agreement.
⚡ COHERENT: The trend is healthy and coherence is stable.
💥 COLLAPSE: The regime's integrity is compromised.
🌀 CHAOS: The market is unpredictable.
Collapse Risk: What it is: A 0-100% gauge measuring the rate of recent CI decay. How to interpret: A leading indicator for trend exhaustion. A value rising above 50% is a powerful signal to tighten stops.
█ THE VISUALS: THE ART OF ANALYSIS (ENGINE 3)
The Visualization Suite (Engine 3) translates the complex calculations into an intuitive visual language. Learning to read these displays is like learning to see the market in a new dimension.
The Circular Orbit Plot: The soul of MFC. A polar grid showing each oscillator as a labeled vector.
Angle = Phase, Length = Amplitude. Watch for Convergence: when scattered vectors cluster into a single quadrant, you are witnessing the birth of a new regime in real-time.
The Quantum Field Cloud: An atmospheric overlay on the price chart.
Color = Dominant Phase ( Green for bullish, Red for bearish). Opacity = Coherence Index . A dense, opaque cloud signifies an extremely strong, coherent regime.
The Entanglement Web Matrix & Phase-Time Heat Map: Deep-dive analytical tools. Use the Web to diagnose the quality and breadth of coherence. Use the Heat Map to identify historical patterns and pivotal moments of unified market phase.
█ THE DEVELOPMENT: A QUEST FOR TRUTH
MFC was not created to be just another tool. It was engineered to solve the fundamental ambiguity of technical analysis by creating a system of checks and balances between three specialized engines. I sought to replace subjective interpretation with objective, multi-stage mathematical measurement. The choice of Gaussian kernels, Sigmoid functions, and complex-plane analysis was a deliberate decision to embrace the multi-dimensional reality of market dynamics rather than simplifying it into a single, misleading number.
This is a tool for the discerning trader who understands that the market is not a random walk, but a complex, adaptive system. MFC provides a new set of senses to perceive the behavior of that system.
"The financial markets are generally unpredictable. So that one has to have different scenarios... The idea that you can actually predict what's going to happen contradicts my way of looking at the market."
— George Soros
MFC does not predict. It measures . Its three engines work in concert to provide a high-resolution image of the market's current state , allowing you to align yourself with moments of profound clarity and step aside during times of absolute chaos. Trade the coherence, not the forecast.
█ IMPORTANT WARNINGS & DISCLAIMER
This tool is designed for analytical and informational purposes. It identifies periods of high statistical confluence based on the behavior of technical oscillators. This is not a "signal" service and provides no financial advice.
RISK OF LOSS: All trading and investment activities involve substantial risk of loss. Do not trade with capital you cannot afford to lose.
NO GUARANTEE: This indicator does not guarantee profits or prevent losses. Past performance is not indicative of future results.
USE CONFIRMATION: "Ignition" markers denote a unanimous conclusion from all three internal engines, not explicit instructions to buy or sell. They should be used as one component within a comprehensive trading plan.
REGIME DEPENDENT: The effectiveness of this tool is dependent on market conditions. It performs best in markets with clear cyclical behavior.
Taking you to school. - Dskyz, Trade with probability. Trade with consensus. Trade with MFC.
Deviation Momentum For Loop | Lyro RSThe Deviation Momentum For Loop is a directional momentum tool that evaluates the persistence of price deviation from a moving average over a historical range using a custom loop-based scoring function. It quantifies relative momentum strength by comparing current deviation to previous values, assigning a net score used to assess trend bias, reversals, and volatility-adjusted strength.
Key Features
Deviation-Based Momentum: Calculates standardized deviation from a selected moving average by subtracting the MA from price and normalizing via standard deviation and a scaling constant. This standardization adjusts for volatility and creates a consistent scoring base across assets and timeframes.
Historical For-Loop Scoring: Implements a user-defined for-loop function that compares current deviation to values from earlier bars (configurable range). Each comparison adds or subtracts from a cumulative score based on whether current deviation exceeds historical ones, producing a dynamic momentum read.
Threshold-Based Signal Logic: Applies user-defined thresholds for long and short signals. If the loop score exceeds the long threshold, a bullish bias is inferred; if it drops below the short threshold, a bearish bias is indicated. These thresholds are plotted for visual clarity.
Multi-Palette Visual System:
Predefined Palettes – Choose from Classic, Mystic, Accented, or Royal schemes for bullish and bearish colors.
Custom Colors – Toggle on custom color selection to manually define bullish (UpC) and bearish (DnC) tones.
Dynamic Visuals – Oscillator line, threshold markers, background shading, bar and candle coloring are applied in real time based on trend state
.
Glow and Overlay Effects: Layered glow lines and optional bar/candle coloring reinforce signal strength and trend status directly on the chart.
Built-In Alerts: Provides alert conditions when the for-loop score crosses above or below the defined thresholds, enabling automated monitoring of trend conditions.
How It Works
MA Calculation – Applies the selected moving average to the chosen price source (e.g., close, open, high). Offers 16 moving average types including SMA, EMA, WMA, TEMA, JMA, FRAMA, ZLSMA, KAMA, and others via the LyroRS/LMAs/1 library.
Deviation Computation – Measures the deviation of price from its moving average, normalized by standard deviation and scaled by a fixed constant factor to account for volatility.
Loop Function – Iterates from user-defined indices (From → To) and compares current deviation to past deviations. Increments score for each instance where current > past, decrements when current < past. The resulting value is plotted as the primary oscillator.
Signal Logic – Long and short threshold values are configurable inputs. Crossing above the long threshold signals bullish bias; crossing below the short threshold signals bearish pressure.
Color Coding & Visual Feedback
Palette or custom colors reflect oscillator's directional state.
Additional glow lines increase signal emphasis.
Background shading highlights crossovers with mid-threshold for enhanced visibility.
Optional bar and candle coloring aligns price visualization with indicator signals.
Practical Use
Momentum Confirmation – Use a score rising above the long threshold as a potential bullish signal; falling below the short threshold may indicate bearish strength.
Volatility Normalization – Standardized deviation ensures consistency across assets of different volatility profiles.
Multi-Timeframe Adaptation – The wide selection of moving averages and loop depth settings allows calibration for scalping, swing, or long-term analysis.
Visual Clarity – Color-coordinated candles, bars, oscillator lines, and background simplify interpretation of signal context and trend structure.
Customization
Select from 16 moving average types to control sensitivity and smoothing.
Adjust loop depth (From/To) to define how far back deviation is compared.
Set custom threshold levels to reflect your preferred sensitivity to momentum shifts.
Customize visuals with predefined palettes or manual color settings for full chart integration.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Manual Backtest Dashboard (100 Trades)Manual Backtest Dashboard (100 Trades) is a lightweight TradingView indicator designed to help traders manually record and evaluate their trading performance directly on the chart. This tool is built specifically for discretionary traders such as SMC, price action, scalping, and intraday traders who want to analyze their win rate and overall performance without relying on the Strategy Tester.
The indicator works by allowing users to input their trade results manually through the settings panel. Each trade is recorded using simple values: 1 for a winning trade, -1 for a losing trade, and 0 for an empty or uncounted trade. The dashboard automatically calculates the total number of trades entered, the number of wins and losses, and the win rate percentage in real time. Users do not need to fill all 100 trade slots, as only trades with non-zero values are included in the calculations.
This indicator does not place trades or generate buy and sell signals. Instead, it focuses purely on performance evaluation, making it ideal for subjective backtesting, forward testing, and manual trading journals. The dashboard is clean, lightweight, and does not clutter the price chart, ensuring a smooth and distraction-free trading experience. The script is stable, efficient, and does not repaint, making it a reliable tool for traders who want to track and improve their consistency over time.
Wick Analysis Chart [LTS]Wick Analysis Chart - Advanced Price Rejection Visualization
Overview
The Wick Analysis Chart is a specialized oscillator that measures and visualizes price rejection strength by analyzing candle wicks relative to their body sizes. Unlike traditional wick analysis that uses raw price differences, this indicator converts wick measurements into percentage ratios, making them comparable across different instruments, timeframes, and market conditions.
The indicator emphasizes significant price rejections by incorporating volume-weighted calculations with selectable scaling methods (linear, logarithmic, or square root), while filtering out noise through multiple customizable filters including ATR-based volatility filtering, wick size thresholds, and doji detection.
What Makes This Original
This indicator combines several unique analytical approaches not commonly found together:
Percentage-based wick ratios rather than absolute price measurements, enabling cross-instrument and cross-timeframe comparisons
Volume weighting applied BEFORE filtering to ensure high-volume rejections aren't excluded
Three distinct volume scaling methods (linear, logarithmic, square root) to accommodate different trading styles and prevent chart compression
Multi-layer filtering system combining ATR volatility thresholds, minimum wick size requirements, and doji detection
Intelligent plot ordering that ensures smaller wick components remain visible when displaying both upper and lower wicks simultaneously
Color-coded rejection direction showing bullish rejections (lower wick dominant) versus bearish rejections (upper wick dominant)
How It Works
Core Calculation
The indicator calculates wick-to-body ratios as percentages:
Total Wick % = (Upper Wick + Lower Wick) / Body Size × 100
Upper Wick % = Upper Wick / Body Size × 100
Lower Wick % = Lower Wick / Body Size × 100
A 200% total wick value means the combined wicks are twice the size of the candle body, indicating strong price rejection.
Volume Weighting
Volume weighting is applied to emphasize rejections that occur on significant volume. The indicator offers three scaling methods:
Linear Scaling: Direct volume multiplier (2x volume = 2x display value). Best for dramatic emphasis on volume spikes. Suitable for scalping and intraday trading where volume surges signal important levels.
Logarithmic Scaling: Diminishing returns on extreme volume using the formula: multiplier = 1 + log(volume ratio). A 10x volume spike produces only ~3.3x emphasis. Best for preventing chart compression while maintaining volume awareness. Ideal for swing trading and multi-timeframe analysis.
Square Root Scaling: Balanced approach using square root of volume ratio. A 4x volume spike produces 2x emphasis. Provides middle ground between linear and logarithmic. Suitable for most day trading applications.
Filtering System
Three independent filters work together to eliminate noise:
ATR Filter: Removes candles whose total range is below a specified percentage of the Average True Range. This filters out low-volatility consolidation periods, focusing analysis on meaningful price movements.
Wick Size Filter: Removes candles whose volume-weighted wick percentage is below the threshold. This ensures only significant rejections are displayed, even if the candle met the ATR requirement.
Doji Filter: Automatically filters candles where the body is smaller than the specified percentage of total range. Doji candles produce extreme wick ratios that can skew the chart scale.
Calculation Flow
1. Calculate base wick-to-body percentages
2. Apply volume weighting using selected scaling method
3. Check ATR filter (if enabled)
4. Check wick size filter using volume-weighted values (if enabled)
5. Check doji filter
6. Display final values if all filters pass
How To Use
Display Configuration
Total Wick Value: Shows combined upper and lower wick size. Color indicates rejection direction - green when lower wick dominates (buyers rejected downside), red when upper wick dominates (sellers rejected upside).
Upper Wick Value: Isolated upper wick measurement. Useful for identifying supply zones and resistance rejection.
Lower Wick Value: Isolated lower wick measurement. Useful for identifying demand zones and support rejection.
When both upper and lower wicks are displayed simultaneously, the indicator automatically plots them in size order so the smaller value remains visible.
Volume Weighting Setup
Enable volume weighting and select your preferred scaling method based on trading style:
Linear: Maximum emphasis on volume, accepts potential chart compression
Logarithmic: Minimal chart compression, subtle volume emphasis
Square Root: Balanced approach for most applications
Adjust Volume Average Length based on your timeframe (shorter for intraday, longer for swing trading).
Filter Configuration
ATR Filter: Start with 80% to focus on above-average volatility moves. Increase to 100%+ for only the most volatile candles, or decrease to 60-70% to include more data.
Wick Size Filter: Start with 50% to show wicks at least half the body size. Increase to 75-100% for only the most significant rejections, or decrease to 25% for more sensitivity.
Doji Threshold: Default 5% works well for most markets. Increase for markets with frequent small-bodied candles.
Reference Levels
100% Line (Equilibrium): Represents 1:1 wick-to-body ratio. Values above this line indicate wicks larger than the body.
Extreme Level: User-defined threshold for alerts. Default 500% means wicks are 5x the body size. Adjust based on your instrument and filter settings with volume weighting enabled.
Trading Applications
Identifying Key Levels: Large wick percentages with high volume often mark important support/resistance levels where significant orders absorbed price movement.
Trend Exhaustion: Increasing wick percentages at trend extremes, especially with declining volume weighting, can signal momentum loss.
Breakout Validation: Breakout candles with small wicks (low percentage values) suggest conviction, while large wicks suggest rejection and potential false breakouts.
Session Analysis: Compare wick percentages across different trading sessions to identify when the most significant rejections occur.
Mean Reversion Setups: Extreme wick percentages above your threshold level, particularly when colored green (bullish rejection) at support or red (bearish rejection) at resistance, can signal high-probability reversal zones.
Alerts
The indicator includes an alert condition that triggers when the total wick value exceeds the extreme level. Configure the extreme level based on your backtesting to match your instrument's characteristics and filter settings.
Settings Summary
Display Options
Show Total/Upper/Lower Wick Value: Toggle visibility
Color selections for bullish/bearish total wicks and upper/lower components
Volume Weighting
Apply Volume Weighting: Enable/disable volume emphasis
Volume Average Length: Period for volume SMA comparison (default: 20)
Volume Scaling Method: Linear/Logarithmic/Square Root
ATR Filter
Apply ATR Filter: Enable/disable volatility-based filtering
ATR Length: Period for ATR calculation (default: 14)
Filter Percent: Minimum candle range as % of ATR (default: 80%)
Wick Size Filter
Apply Wick Size Filter: Enable/disable wick size threshold
Minimum Wick %: Minimum volume-weighted wick percentage (default: 50%)
Advanced
Doji Threshold: Body size as % of range for doji detection (default: 5%)
Reference Levels
Show Reference Levels: Toggle horizontal reference lines
Extreme Level: Threshold for extreme wick values and alerts (default: 500%)
Renko Velocity Meter [Chris Chapman]Here is the comprehensive copy for your Renko Velocity Meter indicator. This is structured to be used in a TradingView description, a manual, or a product listing.
Renko Velocity Meter
What is this Indicator?
The Renko Velocity Meter is a specialized momentum dashboard designed strictly for Renko Charts. Unlike standard oscillators (like RSI or MACD) which often fail on Renko due to the lack of time-based data, this tool uses "Brick Physics" to measure the actual speed and efficiency of price movement.
It answers the most critical question in Renko trading: "Is this a real trend, or just a choppy consolidation?"
Instead of giving you lagging signals, it provides a real-time Velocity Score (0-100) displayed on a dashboard directly on your chart. It automatically filters out "fake" moves and highlights high-probability "TURBO" conditions when the market enters a powerful extension phase.
How It Is Calculated
The Velocity Score is derived from a proprietary blend of three distinct mathematical checks:
1. Trend Efficiency ("The Snake Logic") The script calculates the ratio between the Net Price Move and the Total Distance Traveled over a lookback period.
High Efficiency: Price is moving in a straight line (Strong Trend).
Low Efficiency: Price is winding back and forth (Chop/Range).
2. Momentum Deviation (Auto-Brick Detection) The indicator automatically detects your specific Renko brick size (whether 2 pips, 10 points, or custom) without manual input. It then measures how many "Bricks" the price has pulled away from the baseline Moving Average.
If price is 6+ bricks away from the average, it signals a high-momentum extension.
3. HTF Trend Lock (Multi-Timeframe Filter) It internally checks a Higher Timeframe (default: 15-minute) to ensure you are trading with the dominant trend.
HTF LOCK: The Renko trend and the 15m trend are aligned (Green).
HTF MIX: The trends are conflicting. The score is automatically capped at 60 to prevent false signals.
4. The "Counter-Trend" Penalty To prevent buying tops or selling bottoms, the script instantly penalizes the score if a "Retracement Brick" forms.
Example: If the trend is UP, but a RED brick forms, the score is forced down to the "Yellow/Neutral" zone until the trend resumes.
Requirements
To use this indicator effectively, you must meet the following chart conditions:
Chart Type: Renko (This is mandatory. The math relies on fixed-size bricks).
Timeframe: Works on all timeframes, but optimized for standard scalping setups (e.g., 2-pip fixed bricks on EURUSD/Gold).
Data Feed: High-quality data is recommended. For maximum precision, use a 1-second (1s) interval setting for your Renko box generation if your TradingView plan allows it.
The Inputs (Settings)
You can customize the sensitivity of the meter to fit your specific asset class:
Trend Efficiency Period (Default: 14):
The number of bricks used to calculate how "straight" the trend is. Lower numbers make the score faster; higher numbers make it smoother.
Momentum Baseline (Default: 20):
The length of the internal Moving Average used as the "mean" price.
Max Momentum in Bricks (Default: 6):
How many bricks of extension are required to hit a "100% Score"? Increase this for volatile assets like Gold or Bitcoin.
HTF Support (Default: 15):
The Higher Timeframe used for the Trend Lock filter.
Meter Position:
Choose where the dashboard appears on your screen (Top Right, Bottom Left, etc.).
Dashboard Legend
GREEN (Score > 70): TURBO – Strong trend alignment. High probability of continuation.
YELLOW (Score 50-70): TREND – Active trend, but potentially stalling or retracing.
RED (Score < 50): CHOP – No clear direction or conflicting signals. Stay flat.
POSITION: Shows the current logic state (LONG/SHORT/FLAT).
