Coinbase Institutional Flow Alpha1. 核心概念 (The Core Concept)
這不是一套傳統看圖形（如 RSI 或 MACD）的技術指標策略，而是一套基於**「籌碼面」與「市場微結構」的量化系統。 比特幣市場存在兩個平行世界：美國機構投資者（主要使用 Coinbase 美元對）與全球散戶**（主要使用 Binance USDT 對）。這套策略的核心邏輯在於捕捉這兩者之間的**「定價效率落差」**。
This is not a traditional technical analysis strategy based on lagging indicators like RSI or MACD. Instead, it is a quantitative system based on Order Flow and Market Microstructure. The Bitcoin market consists of two parallel worlds: US Institutional Investors (trading on Coinbase USD pairs) and Global Retail Investors (trading on Binance USDT pairs). The core logic of this strategy is to capture the pricing inefficiency gap between these two liquidity pools.
2. 運作原理 (How It Works)
Smart Money 追蹤： 當機構開始大舉買入時，Coinbase 的價格往往會比 Binance 出現短暫且顯著的「溢價（Premium）」。這通常是行情的領先指標。
統計套利模型： 我們開發了一套獨家的演算法，24 小時監控這個溢價缺口的變化。只有當溢價偏離程度達到特定的**統計學異常值（Statistical Anomaly）**時，系統才會判定為「機構進場信號」並執行交易。
過濾雜訊： 我們只抓取真正由資金推動的大趨勢，過濾掉市場上 80% 的無效波動。
Smart Money Tracking: When institutions accumulate heavily, the price on Coinbase often trades at a significant "Premium" compared to Binance. This serves as a powerful leading indicator for price trends.
Statistical Arbitrage Model: We utilize a proprietary algorithm that monitors this premium gap 24/7. Only when the gap deviation hits a specific Statistical Anomaly, does the system identify it as an "Institutional Entry Signal" and execute the trade.
Noise Filtering: The strategy is designed to capture significant trends driven by real capital flow, effectively filtering out 80% of random market noise.
免責聲明 (Disclaimer)
補充說明： 以上策略不保證獲利，僅提供量化交易的想法與實驗數據參考。請注意，市場沒有聖杯，交易結果盈虧自負，本人不承擔任何因使用此策略而產生的資金損失。
Disclaimer: The above strategy does not guarantee profits and is provided solely for sharing quantitative ideas and experimental data. Please note that there is no "Holy Grail" in trading. You are solely responsible for your own PnL, and I assume no liability for any financial losses incurred.
Tìm kiếm tập lệnh với "algo"
Kairos Bands [v1.1]Overview
The Kairos Bands Strategy is a highly modular trading system designed to identify high probability entry points based on volatility exhaustion and momentum shifts... It is built with a proprietary core algorithm that detects when price has extended too far from its mean, but it is wrapped in a Confluence Cloud that allows the user to filter these signals through nine different secondary indicators...
This is not just a static strategy... It is a framework that allows you to build your own edge by toggling specific filters on and off to match current market conditions...
1... The Chameleon Feature (Trend or Reversal)
One of the most powerful features of Kairos Bands is the Inverse Trades logic...
Reversal Mode (Default): By default, the strategy looks for price exhaustion... It buys when the market is oversold and sells when the market is overbought... This is ideal for ranging markets or catching tops and bottoms...
Trend Following Mode (Inversed): By checking the Inverse Trades box in the settings, the logic flips completely... A Buy signal becomes a Sell and vice versa... This transforms the strategy into a breakout or trend following system, entering trades in the direction of the momentum rather than against it...
2... The Confluence Cloud
While the core trigger is based on proprietary volatility calculations, the user has full control over how strictly those trades are filtered... You can toggle any of the following 9 momentum filters independently for both Long and Short setups...
RSI (Relative Strength Index)
Stochastic Oscillator
CCI (Commodity Channel Index)
Williams %R
MFI (Money Flow Index)
CMO (Chande Momentum Oscillator)
Fisher Transform
Ultimate Oscillator
ROC (Rate of Change)
For example, you can require RSI and MFI to agree with the main signal for Longs, but only require Stochastic for Shorts... This allows for granular tuning...
3... Trend Bias & Time Management
To further refine entries, the strategy includes:
EMA Trend Filter: An optional dual EMA system (Fast vs Slow) that forces the strategy to only trade in the direction of the dominant trend...
Precision Time Filtering: You can define exact start and end times (down to the minute) for entries...
No Trade Zone (NTZ): A specific time window where the strategy is forbidden from holding positions... If a trade is open when the NTZ begins, it is immediately force closed to avoid volatility events or market closes...
4... Risk Management
The strategy moves away from vague percentage based stops and uses precision point based targeting...
Fixed Points: Set your Take Profit and Stop Loss in exact price points...
Signal Skipping: An optional feature to cool down the strategy after a trade closes, forcing it to skip a set number of subsequent signals to avoid over trading...
5... Professional Analytics Dashboard
The visual overlay provides a detailed Heads Up Display (HUD) containing institutional grade metrics...
Strategy Grade: An automatic A through F grading system based on the Win Rate Differential (how much better the strategy performs compared to a breakeven coin flip)...
Streak Analysis: Tracks the maximum and average consecutive wins and losses to help you understand the psychological drawdown risk...
Rolling PnL: A secondary dashboard tracks your hypothetical Net PnL over the last 7 trading days and the last 12 months, giving you a clear view of short term and long term performance...
Simple Candle Strategy# Candle Pattern Strategy - Pine Script V6
## Overview
A TradingView trading strategy script (Pine Script V6) that identifies candlestick patterns over a configurable lookback period and generates trading signals based on pattern recognition rules.
## Strategy Logic
The strategy analyzes the most recent N candlesticks (default: 5) and classifies their patterns into three categories, then generates buy/sell signals based on specific pattern combinations.
### Candlestick Pattern Classification
Each candlestick is classified as one of three types:
| Pattern | Definition | Formula |
|---------|-----------|---------|
| **Close at High** | Close price near the highest price of the candle | `(high - close) / (high - low) ≤ (1 - threshold)` |
| **Close at Low** | Close price near the lowest price of the candle | `(close - low) / (high - low) ≤ (1 - threshold)` |
| **Doji** | Opening and closing prices very close; long upper/lower wicks | `abs(close - open) / (high - low) ≤ threshold` |
### Trading Rules
| Condition | Action | Signal |
|-----------|--------|--------|
| Number of Doji candles ≥ 3 | **SKIP** - Market is too chaotic | No trade |
| "Close at High" count ≥ 2 + Last candle closes at high | **LONG** - Bullish confirmation | Buy Signal |
| "Close at Low" count ≥ 2 + Last candle closes at low | **SHORT** - Bearish confirmation | Sell Signal |
## Configuration Parameters
All parameters are adjustable in TradingView's "Settings/Inputs" tab:
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **K-line Lookback Period** | 5 | 3-20 | Number of candlesticks to analyze |
| **Doji Threshold** | 0.1 | 0.0-1.0 | Body size / Total range ratio for doji identification |
| **Doji Count Limit** | 3 | 1-10 | Number of dojis that triggers skip signal |
| **Close at High Proximity** | 0.9 | 0.5-1.0 | Required proximity to highest price (0.9 = 90%) |
| **Close at Low Proximity** | 0.9 | 0.5-1.0 | Required proximity to lowest price (0.9 = 90%) |
### Parameter Tuning Guide
#### Proximity Thresholds (Close at High/Low)
- **0.95 or higher**: Stricter - only very strong candles qualify
- **0.90 (default)**: Balanced - good for most market conditions
- **0.80 or lower**: Looser - catches more patterns, higher false signals
#### Doji Threshold
- **0.05-0.10**: Strict doji identification
- **0.10-0.15**: Standard doji detection
- **0.15+**: Includes near-doji patterns
#### Lookback Period
- **3-5 bars**: Fast, sensitive to recent patterns
- **5-10 bars**: Balanced approach
- **10-20 bars**: Slower, filters out noise
## Visual Indicators
### Chart Markers
- **Green Up Arrow** ▲: Long entry signal triggered
- **Red Down Arrow** ▼: Short entry signal triggered
- **Gray X**: Skip signal (too many dojis detected)
### Statistics Table
Located at top-right corner, displays real-time pattern counts:
- **Close at High**: Count of candles closing near the high
- **Close at Low**: Count of candles closing near the low
- **Doji**: Count of doji/near-doji patterns
### Signal Labels
- Green label: "✓ Long condition met" - below entry bar
- Red label: "✓ Short condition met" - above entry bar
- Gray label: "⊠ Too many dojis, skip" - trade skipped
## Risk Management
### Exit Strategy
The strategy includes built-in exit rules based on ATR (Average True Range):
- **Stop Loss**: ATR × 2
- **Take Profit**: ATR × 3
Example: If ATR is $10, stop loss is at -$20 and take profit is at +$30
### Position Sizing
Default: 100% of equity per trade (adjustable in strategy properties)
**Recommendation**: Reduce to 10-25% of equity for safer capital allocation
## How to Use
### 1. Copy the Script
1. Open TradingView
2. Go to Pine Script Editor
3. Create a new indicator
4. Copy the entire `candle_pattern_strategy.pine` content
5. Click "Add to Chart"
### 2. Apply to Chart
- Select your preferred timeframe (1m, 5m, 15m, 1h, 4h, 1d)
- Choose a trading symbol (stocks, forex, crypto, etc.)
- The strategy will generate signals on all historical bars and in real-time
### 3. Configure Parameters
1. Right-click the strategy on chart → "Settings"
2. Adjust parameters in the "Inputs" tab
3. Strategy will recalculate automatically
4. Backtest results appear in the Strategy Tester panel
### 4. Backtesting
1. Click "Strategy Tester" (bottom panel)
2. Set date range for historical testing
3. Review performance metrics:
- Win rate
- Profit factor
- Drawdown
- Total returns
## Key Features
✅ **Execution Model Compliant** - Follows official Pine Script V6 standards
✅ **Global Scope** - All historical references in global scope for consistency
✅ **Adjustable Sensitivity** - Fine-tune all pattern detection thresholds
✅ **Real-time Updates** - Works on both historical and real-time bars
✅ **Visual Feedback** - Clear signals with labels and statistics table
✅ **Risk Management** - Built-in ATR-based stop loss and take profit
✅ **No Repainting** - Signals remain consistent after bar closes
## Important Notes
### Before Trading Live
1. **Backtest thoroughly**: Test on at least 6-12 months of historical data
2. **Paper trading first**: Practice with simulated trades
3. **Optimize parameters**: Find the best settings for your trading instrument
4. **Manage risk**: Never risk more than 1-2% per trade
5. **Monitor performance**: Review trades regularly and adjust as needed
### Market Conditions
The strategy works best in:
- Trending markets with clear directional bias
- Range-bound markets with defined support/resistance
- Markets with moderate volatility
The strategy may underperform in:
- Highly choppy/noisy markets (many false signals)
- Markets with gaps or overnight gaps
- Low liquidity periods
### Limitations
- Works on chart timeframes only (not intrabar analysis)
- Requires at least 5 bars of history (configurable)
- Fixed exit rules may not suit all trading styles
- No trend filtering (will trade both directions)
## Technical Details
### Historical Buffer Management
The strategy declares maximum bars back to ensure enough historical data:
```pine
max_bars_back(close, 20)
max_bars_back(open, 20)
max_bars_back(high, 20)
max_bars_back(low, 20)
```
This prevents runtime errors when accessing historical candlestick data.
### Pattern Detection Algorithm
```
For each bar in lookback period:
1. Calculate (high - close) / (high - low) → close_to_high_ratio
2. If close_to_high_ratio ≤ (1 - threshold) → count as "Close at High"
3. Calculate (close - low) / (high - low) → close_to_low_ratio
4. If close_to_low_ratio ≤ (1 - threshold) → count as "Close at Low"
5. Calculate abs(close - open) / (high - low) → body_ratio
6. If body_ratio ≤ doji_threshold → count as "Doji"
Signal Generation:
7. If doji_count ≥ cross_count_limit → SKIP_SIGNAL
8. If close_at_high_count ≥ 2 AND last_close_at_high → LONG_SIGNAL
9. If close_at_low_count ≥ 2 AND last_close_at_low → SHORT_SIGNAL
```
## Example Scenarios
### Scenario 1: Bullish Signal
```
Last 5 bars pattern:
Bar 1: Closes at high (95%) ✓
Bar 2: Closes at high (92%) ✓
Bar 3: Closes at mid (50%)
Bar 4: Closes at low (10%)
Bar 5: Closes at high (96%) ✓ (last bar)
Result:
- Close at high count: 3 (≥ 2) ✓
- Last closes at high: ✓
- Doji count: 0 (< 3) ✓
→ LONG SIGNAL ✓
```
### Scenario 2: Skip Signal
```
Last 5 bars pattern:
Bar 1: Doji pattern ✓
Bar 2: Doji pattern ✓
Bar 3: Closes at mid
Bar 4: Doji pattern ✓
Bar 5: Closes at high
Result:
- Doji count: 3 (≥ 3)
→ SKIP SIGNAL - Market too chaotic
```
## Performance Optimization
### Tips for Better Results
1. **Use Higher Timeframes**: 15m or higher reduces false signals
2. **Combine with Indicators**: Add volume or trend filters
3. **Seasonal Adjustment**: Different parameters for different seasons
4. **Instrument Selection**: Test on liquid, high-volume instruments
5. **Regular Rebalancing**: Adjust parameters quarterly based on performance
## Troubleshooting
### No Signals Generated
- Check if lookback period is too large
- Verify proximity thresholds aren't too strict (try 0.85 instead of 0.95)
- Ensure doji limit allows for trading (try 4-5 instead of 3)
### Too Many False Signals
- Increase proximity thresholds to 0.95+
- Reduce lookback period to 3-4 bars
- Increase doji limit to 3-4
- Test on higher timeframes
### Strategy Tester Shows Losses
- Review individual trades to identify patterns
- Adjust stop loss and take profit ratios
- Change lookback period and thresholds
- Test on different market conditions
## References
- (www.tradingview.com)
- (www.tradingview.com)
- (www.investopedia.com)
- (www.investopedia.com)
## Disclaimer
**This strategy is provided for educational and research purposes only.**
- Not financial advice
- Past performance does not guarantee future results
- Always conduct thorough backtesting before live trading
- Trading involves significant risk of loss
- Use proper risk management and position sizing
## License
Created: December 15, 2025
Version: 1.0
---
**For updates and modifications, refer to the accompanying documentation files.**
ORB Strategy - EnhancedThis algo is for setting and forgetting ORB. Does require an understanding of how to tweak trading factors
Strategy with VWRSI and SAVE orders Long or Short or BothVWRSI is very powerful indicator coded by Algo Alpha and I Make Strategy of it
But there is no stop loss instate the Strategy is using Save orders to minimize the market manipulation
The best to used is side way market with long and short enable
The Strategy trigger long or short market order -
long - ta.crossover(rsi, 20)
short - ta.crossunder(rsi, 80)
And if is not take profit from the first trade start with the save trades until will do
the sum of the first order - base order and the save order can be adjust from the user
as well the deviation from the first order
IF some user have questions let me know
AI ALGO [Ganesh]Core Strategy Components\
1. EMA (Exponential Moving Average) SystemThe strategy uses three EMAs to identify trend direction:
EMA 48 (longer-term trend)
EMA 2 (short-term momentum)
EMA 21 (medium-term trend)
How it works:
Bullish trend: When price is above EMA 21 (green cloud)
Bearish trend: When price is below EMA 21 (red cloud)
EMA Cloud: The area between EMA 2 and EMA 48/21 provides visual trend confirmation
Optional higher timeframe (HTF) analysis for multi-timeframe confirmation
2. DEMA ATR (Double EMA + Average True Range)
This is a dynamic support/resistance indicator that adapts to volatility:Components:
DEMA (Double Exponential Moving Average): Smooths price action with less lag
ATR Bands: Creates upper and lower bands based on volatility (ATR × 1.7 factor)
Signal Generation:
Green line: Uptrend (DEMA ATR rising)
Red line: Downtrend (DEMA ATR falling)
Acts as a trailing stop-loss level that adjusts with market volatility
3. Smart Trail System (Fibonacci-Based)
An advanced trailing stop system using modified true range calculations:Key Features:
Calculates true range using Wilder's smoothing method
Creates Fibonacci retracement levels (61.8%, 78.6%, 88.6%) from the trail line
Adaptive stop-loss: Adjusts based on ATR factor (4.2) and smoothing (4)
Trend Detection:
Bullish: Price > Trailing line (blue zones)
Bearish: Price < Trailing line (red zones)
The Fibonacci zones show potential support/resistance areas
4. ZigZag Indicator Identifies significant swing highs and lows:
Length parameter: 13 (sensitivity control)
Labels: Higher Highs (HH), Lower Lows (LL), etc.
Helps identify trend reversals and key pivot points
5. Support & Resistance Levels
Strength-based S/R: Identifies horizontal support/resistance zones
Zone width: Adjustable percentage-based zones
High/Low zones: Marks significant price levels
Trading LogicEntry Conditions (Implied)The strategy likely enters trades when:Long Entry:
Price crosses above DEMA ATR (green)
Price is above EMA 21 (bullish EMA cloud)
Smart Trail confirms uptrend
Price bounces from Fibonacci support levels
Short Entry:
Price crosses below DEMA ATR (red)
Price is below EMA 21 (bearish EMA cloud)
Smart Trail confirms downtrend
Price rejects from Fibonacci resistance levels
Exit/Stop-Loss Strategy
Trailing stops: Using Smart Trail Fibonacci levels
Dynamic stops: DEMA ATR line acts as a moving stop-loss
Risk management: Position sizing at 50% of equity per trade
Dashboard Features1. Weekly Performance Table
Tracks trades per day of the week
Shows win/loss statistics
Calculates win rate percentage
2. Monthly Performance Table
Monthly P&L breakdown
Yearly performance summary
Color-coded returns (green = profit, red = loss)
Strategy Parameters
Initial Capital: $5,000
Commission: 0.02% per trade
Position Size: 50% of equity
Pyramiding: Disabled (no adding to positions)
Calculation: On bar close (not tick-by-tick)
Visual Elements
EMA clouds: Green (bullish) / Red (bearish)
DEMA ATR line: Dynamic support/resistance
Smart Trail zones: Fibonacci-based colored bands
ZigZag lines: Swing high/low connections
S/R zones: Horizontal support/resistance areas
Strategy Philosophy
This is a trend-following strategy with dynamic risk management that:
Uses multiple timeframes for confirmation
Adapts to volatility through ATR-based indicators
Provides clear visual cues for trend direction
Includes comprehensive performance tracking
Combines momentum (EMAs) with volatility (ATR) for robust signals
The strategy works best in trending markets and uses the Fibonacci trail system to maximize profits while protecting against reversals with adaptive stop-losses.
Sniper Perfect: Institutional Flow & Adaptive Risk ProtocolOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
Sniper PerfectOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
The Truth Sniper: Breathing Edition**Overview**
This is a highly advanced trend-following strategy designed to filter out market noise ("Fakeouts") and manage risk using a dynamic "Breathing Ratchet" mechanism. It combines traditional trend analysis with institutional money flow logic to identify the true market direction.
**Key Features**
**1. The Conflict Zone (Gray Zone Filter)**
Most strategies fail during low-volume accumulation or distribution phases. This algorithm introduces a "Conflict Zone" logic:
* **True Rally (Green):** Price is above EMA50 AND Money Flow (VFI) is positive.
* **True Drop (Red):** Price is below EMA50 AND Money Flow (VFI) is negative.
* **Conflict (Gray Background):** When Price and Money Flow disagree (e.g., Price rising on negative volume), the background turns Gray. **Trading is disabled** in these zones to avoid bull/bear traps.
**2. Breathing Stop-Loss Mechanism (Volatility Adjusted)**
The Stop Loss isn't static. It "breathes" based on market heat (Volume/RSI):
* **High Heat (High Volatility):** The SL loosens its grip, moving towards the bottom of the Fibonacci zone to allow price fluctuation without premature exits.
* **Low Heat (Low Volatility):** The SL tightens aggressively towards the price to lock in profits during slow momentum.
**3. The Ratchet Lock (Slippage Prevention)**
To ensure maximum profit retention, the "Breathing" mechanism is governed by a **Ratchet Logic**:
* **For Longs:** The Stop Loss can ONLY move UP. If the "Breathing" calculation suggests lowering the stop (due to increased volatility), the Ratchet blocks it, keeping the SL at the highest historical level.
* **For Shorts:** The Stop Loss can ONLY move DOWN.
**4. Fibonacci Exit Zones**
Exits are calculated based on a 60-day dynamic High/Low lookback, creating "Zones" (0-23.6%, 23.6-38.2%, etc.) that the price must conquer. The SL trails these zones mechanically.
**Visual Guide**
* **Lime/Red Background:** Active Trade Zone (Confirmed Trend).
* **Gray Background:** Conflict Zone (Stay Out / Hold).
* **Purple 'X':** The exact price level where the Stop Loss was hit (Fixed marker).
* **Stepline:** The active Stop Loss level (Visible only during open trades).
**Disclaimer**
This script is for educational and research purposes only. Always manage your risk.
YCGH Ultimate Stocks Breakout Sniper📈 YCGH Ultimate Stocks Breakout Sniper
Overview
A sophisticated momentum-based breakout strategy designed to capture high-probability directional moves during volatility expansion phases. This system identifies breakout opportunities when price decisively breaks through established ranges, combining multiple technical filters to enhance signal quality and minimize false breakouts.
🎯 Strategy Features
Core Methodology:
Proprietary breakout detection algorithm
Multi-layered confirmation filters for signal validation
Adaptive trailing stops for profit protection
Systematic risk management with daily drawdown controls
Key Components:
✅ Volatility Expansion Filter - Only trades during periods of elevated market volatility to avoid choppy, range-bound conditions
✅ Optional Trend Alignment - Configurable trend filter (EMA/SMA/RMA/WMA) to align entries with broader market direction
✅ ROC Momentum Filter - Daily rate-of-change filter to capture strong momentum days (optional)
✅ Comprehensive Exit Strategy:
Fixed stop-loss (default 2%)
Take-profit targets (default 9%)
Dynamic trailing stops (2% activation, 0.5% offset)
✅ Flexible Direction Trading:
Auto-detect mode: Long+Short for perpetuals, Long-only for spot/equities
Manual override options available
Suitable for both crypto and stock markets
📊 Market Applicability
Optimized for: Cryptocurrency perpetual contracts and equity markets (1H-4H timeframes)
Also effective on: Futures and high-liquidity spot markets
The strategy adapts to different market regimes through configurable volatility and trend filters, making it versatile across various trading instruments and timeframes.
⚙️ Risk Management
Position Sizing: Percentage-based allocation with leverage support
Intraday Loss Limit: Maximum 10% drawdown protection (configurable)
Realistic Cost Modeling: 0.025% commission + 1 tick slippage
No Pyramiding: Single position management for controlled risk exposure
📈 Performance Visualization
Includes a comprehensive monthly returns table displaying:
Year-by-year performance breakdown
Monthly profit/loss percentages
Visual color-coding (green for profits, red for losses)
Clean, modern design with transparent styling
🔐 Access & Pricing
This is a PROTECTED, invite-only strategy.
The source code is not open-source and requires paid access for usage.
How to Get Access:
📧 Email: brijamohanjha@gmail.com
Include in your email:
Your TradingView username
Markets/assets you plan to trade
Preferred timeframe
What You'll Receive:
Full strategy access with invite-only permissions
Complete parameter documentation
Setup and optimization guidance
Implementation support
⚠️ Important Disclosures
Backtesting Parameters:
Commission: 0.025% per trade
Slippage: 1 tick
Results reflect realistic trading conditions
Risk Warning:
Past performance does not guarantee future results. This strategy involves substantial risk and may not be suitable for all investors. Users should thoroughly understand the risks and customize parameters based on their risk tolerance and market conditions.
📞 Contact for Access
Email: brijamohanjha@gmail.com
For questions about functionality, pricing, optimization, or market-specific settings, please reach out via email.
Note: This is a premium, paid strategy. Access is granted manually after consultation and payment confirmation.
MACD + 200 EMA + Chandelier + ML OptimizerNeural MACD Trend Strategy
This script modernizes a classic high-probability trend strategy by integrating Machine Learning and dynamic risk management. It is built on the foundation of the 9, 21, and 200 EMAs with MACD execution, designed to automate the workflow of trend traders.
Key Features:
1. Core Logic: Trades are executed on MACD crosses, but only when aligned with the long-term trend (200 EMA). An optional setting enforces a simultaneous 9/21 EMA cross for high-momentum confirmation.
2. Machine Learning Optimizer: A K-Nearest Neighbors (KNN) algorithm runs in the background, analyzing RSI, CCI, and ROC. It compares the current setup to the last 1,000 bars of history; if the historical probability is negative, the ML blocks the trade to save capital.
3. Range Filter: Uses ADX to detect choppy markets. If the market is ranging (ADX < 20), the background turns gray and trading is paused.
4. Advanced Exits: Automatically calculates Stop Losses based on recent Swing Highs/Lows. Includes a Chandelier Exit (ATR Trailing Stop) to lock in profits dynamically. You can choose between fixed Reward-to-Risk targets (e.g., 1.5x) or disable targets to ride the trend until the trailing stop is hit.
Triple Screen Scalper [Pro] + Dynamic Risk Engine + Smart DCA🚀 Strategy Concept
This algorithm utilizes a Triple Screen methodology to filter market noise and align trades with the path of least resistance. Instead of relying on a single timeframe, it analyzes market structure across three distinct "horizons" to ensure high-probability execution:
The Tide (Long-Term): Analyzes the dominant directional flow and market bias on higher timeframes.
The Wave (Medium-Term): Measures the strength of the current momentum and pauses trading during weak or "choppy" market phases.
The Ripple (Short-Term): Pinpoints precise entry zones by detecting over-extended price action and mean-reversion opportunities within the larger trend.
The system is fortified with a Smart DCA (Dollar Cost Averaging) Engine that adapts to volatility. It does not blindly add to positions; it calculates "Risk Room" and "Trend Stability" before every additional entry, ensuring capital is deployed efficiently rather than recklessly.
⚙️ Configuration Guide (Variable Explanations)
💰 Position & Leverage
Trade Direction: Choose between Long, Short, or Auto. In "Auto," the system trades both directions based on the dominant trend.
Target Entry Leverage (x): The desired leverage for your initial entry.
Base Order Size (% of Equity): How much of your account balance is allocated to the very first trade of a sequence.
DCA Size Multiplier: Controls how much larger each subsequent order is compared to the previous one. A value of 1.0 means flat sizing; values above 1.0 increase the size of recovery orders.
KILL SWITCH: Max Effective Lev: A safety ceiling. If your total position's effective leverage exceeds this value, the strategy will force-close the position to prevent liquidation.
🚀 Profit Settings (Dynamic Exits)
Use Dynamic Profit?: If enabled, the take-profit target acts like a breathing lung—expanding during high volatility (to catch bigger moves) and contracting during quiet periods.
Gain Volatility Length: The lookback period used to measure recent market volatility.
Gain Multiplier: Scales the profit target. Higher numbers require a larger price move to hit profit; lower numbers take profit sooner.
Minimum Profit Floor %: A hard limit ensuring the target never drops below this percentage, even in extremely low-volatility markets.
📉 Trend & Momentum Filters
Trend Strength Threshold: Defines the minimum "velocity" required to trade. This filters out flat, ranging markets where trends are not established.
Momentum Sensitivity (K/D/Smooth): These variables tune the sensitivity of the entry trigger.
Lower numbers = Faster entries (more trades, potentially more noise).
Higher numbers = Slower, more confirmed entries.
Overbought / Oversold Levels: The specific zones (0-100) where price is considered statistically over-extended, triggering a reversal signal.
🛡️ Risk & DCA Settings
Enable Hard Stop Loss: A traditional safety stop based on a fixed percentage.
Max DCA Orders: The maximum number of times the strategy is allowed to "average down" on a position.
Require Trend for DCA?: If TRUE, the strategy will only add to a losing position if the broader market trend is still valid. If the trend breaks, it stops buying.
DCA Volatility Length/Multiplier: Controls the spacing between buy orders.
High Multiplier = Orders are spread far apart (safer for crashes).
Low Multiplier = Orders are closer together (faster recovery in normal dips).
Risk Scaling: A unique feature that pushes DCA orders further away as your leverage increases, protecting you from adding too much risk too quickly.
Base DCA %: The minimum distance required between orders, regardless of volatility.
⏱️ Timers & Cooldowns
Fast / Slow Cooldown: The minimum time (in seconds) the strategy must wait between realizing a profit and opening a new trade. This prevents "revenge trading" or entering twice on the same candle.
Position Cooldown: A specific timer applied after a large position is closed to let the market settle.
🎯 Daily S/R Targets
Enable Daily S/R: If enabled, the strategy will attempt to "snipe" exits at calculated daily support and resistance pivots.
Proximity Threshold: How close the price must get to a daily level to trigger an early exit.
⚠️ Risk Disclaimer
This script is an automated tool for analysis and execution assistance. It employs averaging techniques (DCA) which involve calculated risk. While the "Kill Switch" and "Risk Scaling" features are designed to mitigate exposure, users should thoroughly backtest and understand the "Multiplier" settings before deploying real capital. Past market structure is not a guarantee of future performance.
ONLY FOR EUR/USD : EMA9/EMA20 + RSI + MACD + Fibonacci (v6) FOR PAIRS WHICH HAS A MOMENTUM , trade only using manually not algo , use proper RR.
good luck
XAU BUY/SELL Scalping Strategy M5 PROFX:XAUUSD
This XAU/USD Pro Scalping Strategy is tailored specifically for the M5 timeframe , designed to capture rapid Gold price movements. Instead of relying on lagging indicators, this system utilizes advanced Price Action and Market Structure analysis to identify high-probability entry zones.
The core strength of this strategy lies in its built-in Money Management engine and Multi-threaded Trailing Stop system, ensuring capital preservation and profit maximization.
🚀 Key Features:
1. Smart Price Action Recognition:
The algorithm scans for specific market scenarios to apply dynamic Risk:Reward ratios (ranging from 1:1 to 1:3).
Filters out noise and false breakouts using multi-candle analysis.
Auto Position Sizing:
Calculates trade quantity automatically based on your defined Risk % per Trade .
Ensures consistent risk management regardless of the Stop Loss distance.
Intelligent Trailing Stop:
Uses a dynamic trailing mechanism based on "R" multiples (Risk Units).
Automatically secures profits by moving SL based on the specific setup type ("Case") of each trade.
Safety Filters:
Min SL and Max SL inputs prevent trades during periods of extremely low volatility or excessive risk.
⚙️ Settings:
Risk % per Trade: The percentage of equity to risk per trade (Recommended: 1.0% - 2.0%).
Min/Max SL Points: Dynamic boundaries for Stop Loss to adapt to current market volatility.
💡 Recommendations:
Symbol: XAUUSD / Gold - FXCM.
Timeframe: M5.
Best performance during London and New York sessions.
DOGE Stochastic RSI Pro System📌 Strategy Overview
The DOGE Stochastic RSI Pro System is a high-precision algorithm designed specifically for DOGEUSDT on the 1-hour timeframe.
It combines the power of Stochastic RSI momentum, EMA trend direction, and VWAP price positioning to generate high-probability long and short entries.
This system was optimized through multi-year backtesting and short-term adaptive tuning, showing strong performance during trending and volatility-rich periods.
📌 Technical Logic
✔ 1. Stochastic RSI Core
Entry when %K crosses %D
Detects momentum reversals early
Works effectively on DOGE volatility cycles
✔ 2. EMA Trend Filter
EMA50 above EMA150 → long-bias signals allowed
EMA50 below EMA150 → short-bias signals allowed
Prevents trading against the dominant trend
Improves signal accuracy
✔ 3. VWAP Institutional Filter
Price above VWAP → only long entries
Price below VWAP → only short entries
Avoids low-quality trades in mean-reversion zones
📌 Money Management
✔ Starting Amount: 5 USDT
✔ Take Profit: 3%
✔ Stop Loss: 3%
✔ Both Long & Short
✔ No Martingale — Clean, stable system
The strategy opens one position at a time to avoid overexposure.
📌 Recommended Settings
Pair: DOGEUSDT
Timeframe: 1H
Leverage (Bybit): 5–10× (optional, system does not enforce leverage)
Broker Execution: Bybit derivatives or spot with position sizing
📌 Backtesting Results (User Verified)
1 Year Backtest: ~57–58% win rate
2 Year Backtest: ~56% win rate
Last 3 Months: ~61% win rate
Last 30 Days: ~64% win rate
Profit Factor Range: 1.32 – 1.70
This system performs best in moderate trending + volatility expansion cycles.
📌 Notes for Users
Strategy does not repaint.
Behavior may vary depending on exchange price feeds.
Use proper risk management and test before going live.
Performance may change over time as markets shift.
📌 Access
This is an Invite-Only script.
Access is granted only to approved users.
If you'd like access, send a private request.
📌 Disclaimer
This script is for educational and research purposes only.
Not financial advice. Trading involves risk.
Past performance does not guarantee future results.
Volume Momentum Strategy [MA/VWAP Cross]Deconstructing the Volume Momentum Strategy: An Analysis of MA-VWAP Cross Mechanics
Introduction
The "Volume Momentum Strategy " is a technical trading algorithm programmed in Pine Script v6 for the TradingView platform. At its core, the strategy is a trend-following system that utilizes the interaction between a specific Moving Average (MA) and the Volume Weighted Average Price (VWAP) to generate trade signals. While the primary execution logic relies on price crossovers, the strategy incorporates a sophisticated secondary layer of analysis using the Commodity Channel Index (CCI) and Stochastic Oscillator. Uniquely, these secondary indicators are applied to volume data rather than price, serving as a gauge for market participation and momentum intensity.
The Core Engine: MA and VWAP Crossover
The primary engine driving the strategy's buy and sell decisions is the crossover relationship between a user-defined Moving Average and the VWAP.
1. The Anchor (VWAP): The strategy calculates the Volume Weighted Average Price based on the HLC3 (High, Low, Close divided by 3) source. VWAP serves as the dynamic benchmark for "fair value" throughout the trading session.
2. The Trigger (Moving Average): The script allows for flexibility in defining the "fast" line, offering options such as Simple (SMA), Exponential (EMA), or Hull Moving Averages.
3. The Signal:
o A Long (Buy) signal is generated when the chosen MA crosses over the VWAP. This suggests that short-term price momentum is exceeding the average volume-weighted price of the session, indicating bullish sentiment.
o A Short (Sell) signal is generated when the MA crosses under the VWAP, indicating bearish pressure where price is being pushed below the session's volume-weighted average.
The Role of CCI and Stochastic: Analyzing Volume Momentum
The prompt specifically inquires about how the CCI and Stochastic indicators fit into this process. In standard technical analysis, these oscillators are used to identify overbought or oversold price conditions. However, this strategy repurposes them to analyze Volume Momentum.
1. The Calculation
Instead of using close prices as the input source, the script passes volume data into both indicator functions:
• Volume CCI: Calculated as ta.cci(volume, cciLength). This measures the deviation of current volume from its statistical average.
• Volume Stochastic: Calculated as ta.stoch(volume, volume, volume, stochLength). This gauges the current volume relative to its recent range.
2. The "Volume Spike" Condition
The strategy combines these two indicators to define a specific market condition labeled isVolumeSpike. A volume spike is confirmed only when both conditions are met simultaneously:
• The Volume CCI must be greater than a defined threshold (default: 100).
• The Volume Stochastic must be greater than a defined threshold (default: 80).
3. Integration into the Process
It is critical to note how this script currently applies this "Volume Spike" logic:
• Visual Confirmation: In the current version of the code, the isVolumeSpike boolean is used strictly for visual feedback. When a spike is detected, the script paints the specific price bar yellow and plots a small triangle marker below the bar.
• Strategic Implication: While the code calculates these metrics, the variables long_condition and short_condition currently rely solely on the MA/VWAP crossover. The developer has left the volume logic as a visual overlay, noting in the comments that it serves as a "visual/alert" or a potential filter.
• Potential Alpha: Conceptually, this setup implies that a trader should look for the MA/VWAP crossover to occur coincidentally with—or shortly after—a "Volume Spike" (yellow bar). This would confirm that the price move is backed by significant institutional participation (volume) rather than just retail noise.
Risk Management and Time Constraints
The strategy wraps these technical signals in a robust risk management framework. It includes hard-coded time windows (start/stop trading times) and a "Close All" function to prevent holding positions overnight. Furthermore, it employs both percentage-based and dollar-based Stop Loss and Take Profit mechanisms, ensuring that every entry—whether generated by a high-momentum crossover or a standard trend move—has a predefined exit plan.
Conclusion
The "Volume Momentum Strategy" is a hybrid system. It executes trades based on the reliable trend signal of MA crossing VWAP but informs the trader with advanced volume analytics. By processing volume through the CCI and Stochastic calculations, it provides a "heads-up" display regarding the intensity of market participation, allowing the trader to distinguish between low-volume drifts and high-volume breakout moves.
Trendshift [CHE] StrategyTrendshift Strategy — First-Shift Structural Regime Trading
Profitfactor 2,603
Summary
Trendshift Strategy implements a structural regime-shift trading model built around the earliest confirmed change in directional structure. It identifies major swing highs and lows, validates breakouts through optional ATR-based conviction, and reacts only to the first confirmed shift in each direction. After a regime reversal, the strategy constructs a premium and discount band between the breakout candle and the previous opposite swing. This band is used as contextual bias and may optionally inform stop placement and position sizing.
The strategy focuses on clear, interpretable structural events rather than continuous signal generation. By limiting entries to the first valid shift, it reduces false recycles and allows the structural state to stabilize before a new trade occurs. All signals operate on closed-bar logic, and the strategy avoids higher-timeframe calls to stabilize execution behavior.
Motivation: Why this design?
Many structure-based systems repeatedly trigger as price fluctuates around prior highs and lows. This often leads to multiple flips during volatile or choppy conditions. Trendshift Strategy addresses this problem by restricting execution to the first confirmed structural event in each direction. ATR-based filters help differentiate genuine structural breaks from noise, while the contextual band ensures that the breakout is meaningful in relation to recent volatility.
The design aims to represent a minimalistic structural trading framework focused on regime turns rather than continuous trend signaling. This reduces chart noise and clarifies where the market transitions from one regime to another.
What’s different vs. standard approaches?
Baseline reference
Typical swing-based structure indicators report every break above or below recent swing points.
Architecture differences
First-shift-only regime logic that blocks repeated signals until direction reverses
ATR-filtered validation to avoid weak or momentum-less breaks
Premium and discount bands derived from breakout structure
Optional band-driven stop placement
Optional band-dependent position-sizing factor
Regime timeout system to neutralize structure after extended inactivity
Persistent-state architecture to prevent re-triggering
Practical effect
Only the earliest actionable structure change is traded
Fewer but higher-quality signals
Premium/discount tint assists contextual evaluation
Stops and sizing can be aligned with structural context rather than arbitrary volatility measures
Improved chart interpretability due to reduced marker frequency
How it works (technical)
The algorithm evaluates symmetric swing points using a fixed bar window. When a swing forms, its value and bar index are stored as persistent state. A structural shift occurs when price closes beyond the most recent major swing on the opposite side. If ATR filtering is enabled, the breakout must exceed a volatility-scaled distance to prevent micro-breaks from firing.
Once a valid shift is confirmed, the regime is updated to bullish or bearish. The script records the breakout level, the opposite swing, and derives a band between them. This band is checked for minimum size relative to ATR to avoid unrealistic contexts.
The first shift in a new direction generates both the strategy entry and a visual marker. Additional shifts in the same direction are suppressed until a reversal occurs. If a timeout is enabled, the regime resets after a specified number of bars without structural change, optionally clearing the band.
Stop placement, if enabled, uses either the opposite or same band edge depending on configuration. Position size is computed from account percentage and may optionally scale with the price-span-to-ATR relationship.
Parameter Guide
Market Structure
Swing length (default 5): Controls swing sensitivity. Lower values increase responsiveness.
Use ATR filter (default true): Requires breakouts to show momentum relative to ATR. Reduces false shifts.
ATR length (default 14): Volatility estimation for breakout and band validation.
Break ATR multiplier (default 1.0): Required breakout strength relative to ATR.
Premium/Discount Framework
Enable framework (default true): Activates premium/discount evaluation.
Persist band on timeout (default true): Keeps structural band after timeout.
Min band ATR mult (default 0.5): Rejects narrow bands.
Regime timeout bars (default 500): Neutralizes regime after inactivity.
Invert colors (default false): Color scheme toggle.
Visuals
Show zone tint (default true): Background shade in premium or discount region.
Show shift markers (default true): Display first-shift markers.
Execution and Risk
Risk per trade percent (default 1.0): Determines position size as account percentage.
Use band for size (default false): Scales size relative to band width behavior.
Flat on opposite shift (default true): Forces reversal behavior.
Use stop at band (default false): Stop anchored to band edges.
Stop band side: Chooses which band edge is used for stop generation.
Reading & Interpretation
A green background indicates discount conditions within the structural band; red indicates premium conditions. A green triangle below price marks the first bullish structural shift after a bearish regime. A red triangle above price marks the first bearish structural shift after a bullish regime.
When stops are active, the opposite band edge typically defines the protective level. Band width relative to ATR indicates how significant a structural change is: wider bands imply stronger volatility structure, while narrow bands may be suppressed by the minimum-size filter.
Practical Workflows & Combinations
Trend following: Use first-shift entries as initial regime confirmation. Add higher-timeframe trend filters for additional context.
Swing trading: Combine with simple liquidity or fair-value-gap concepts to refine entries.
Bias mapping: Use higher timeframes for structural regime and lower timeframes for execution within the premium/discount context.
Exit management: When using stops, consider ATR-scaling or multi-stage profit targets. When not using stops, reversals become the primary exit.
Behavior, Constraints & Performance
The strategy uses only confirmed swings and closed-bar logic, avoiding intrabar repaint. Pivot-based swings inherently appear after the pivot window completes, which is standard behavior. No higher-timeframe calls are used, preventing HTF-related repaint issues.
Persistent variables track regime and structural levels, minimizing recomputation. The maximum bars back setting is five-thousand. The design avoids loops and arrays, keeping performance stable.
Known limitations include limited signal density during consolidations, delayed swing confirmation, and sensitivity to extreme gaps that stretch band logic. ATR filtering mitigates some of these effects but does not eliminate them entirely.
Sensible Defaults & Quick Tuning
Fewer but stronger entries: Increase swing length or ATR breakout multiplier.
More responsive entries: Reduce swing length to capture earlier shifts.
More active band behavior: Lower the minimum band ATR threshold.
Stricter stop logic: Use the opposite band edge for stop placement.
Volatile markets: Increase ATR length slightly to stabilize behavior.
What this indicator is—and isn’t
Trendshift Strategy is a structural-regime trading engine that evaluates major directional shifts. It is not a complete trading system and does not include take-profit logic or prediction features. It does not attempt to forecast future price movement and should be used alongside broader market structure, volatility context, and disciplined risk management.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
SmartMoneyConcept ProFlow StrategySmartMoneyConcept ProFlow is a complete SMC-based algo built for trending markets and clean volatility phases – especially on crypto pairs like BTC, ETH and perpetual futures.
It combines:
• Smart Money swing structure (BOS / CHoCH)
• Dynamic Support & Resistance levels
• Order Block–style gap detection
• Volatility normalization (ATR / Range / BBWidth)
• SuperTrend trend filter
• ATR & Volume-based exits, TP lock and session control
The goal: fewer random trades, more focused entries when structure + volatility + trend are in sync.
1. Core Idea
Smart Structure Levels (S/R)
– The strategy builds dynamic support/resistance using swing highs/lows.
– Breakouts above resistance or below support, with enough volatility (filter), become primary trade signals.
BOS / CHoCH Engine
– Tracks Break of Structure (BOS) and Change of Character (CHoCH).
– BOS up/down help define the current trend bias.
– CHoCH highlights potential reversals after a confirmed BOS in the opposite direction.
Order Block Gap Logic
– Detects displacement candles with gaps (based on ATR) to approximate OB-style “impulsive moves”.
– Bullish gaps can add confluence for long entries, bearish gaps for shorts.
Volatility-Aware Entries
– Uses normalized volatility (via ATR, Range or BBWidth).
– Filters out breakouts in dead, low-vol environments and focuses on moves with real expansion.
2. Trend & Risk Management Stack
SuperTrend Filter
– Optional “Only With SuperTrend Direction” to restrict entries to the current ST trend.
– ST flips can also force exits if you want to exit as soon as the main trend changes.
ATR-Based Stops & Trails
– ATR distance check to avoid ultra-tight stops that get chopped instantly.
– Three modes:
• StopOnly – classic fixed ATR stop.
• TrailOnly – trailing ATR-style stop.
• StopAndTrail – initial fixed stop that later trails with price.
Volume-Based Exits (Optional)
– Exit on extremely low volume (move losing participation).
– Or on opposite volume spikes (strong counter-pressure against your position).
– Or use Both for a more active volume management.
TP Lock Logic
– When unrealized profit reaches a chosen value, the position is closed and a “lock” can be applied.
– Use this lock to:
• block same-direction re-entries for that side, or
• allow them again depending on your preference.
3. Anti-Churn & Session Control
Anti-Churn Controls
– Minimum bars between entries.
– Cooldown after an ATR exit.
– Limit of max entries per bar.
Session Filter
– Restrict trading to a specific hourly window (e.g. main market session).
– Option to force close positions outside your active session.
– Handy for intraday traders who don’t want overnight or low-liquidity exposure.
4. SmartMoney Preset Modes
Preset Mode:
• EtherFlux – more flexible, for general breakout & volatility trading.
• SmartMoney – SMC-focused preset:
– Adjusted length, volatility filter and ATR settings.
– Option to disable exits from the strategy side (for manual risk control).
Switching presets automatically tunes multiple internal parameters so you don’t have to micromanage every input each time.
5. Visual Layer
This script has a complete visual suite to help you “read the tape”:
– Bar Colors by position and SuperTrend bias.
– Support / Resistance dots and lines (stepline style).
– Order Block markers (bullish / bearish gap labels).
– BOS / CHoCH labels to track structure shifts in real-time.
– Liquidation Zones (visual only)
• Approximate long and short liquidation areas based on assumed leverage.
• Shaded zones on the chart for quick liquidity map.
– Status Labels
• Session status (ACTIVE / OFF / DISABLED).
• Current position (LONG / SHORT / FLAT).
• TP Lock status (longs locked / shorts locked / no lock).
All visuals are designed for dark charts but also work on light themes with minor tweaks.
6. Quick Input Guide
• Levels Period & Volatility Filter – main structure sensitivity and breakout quality.
• Volatility Method – ATR / Range / BBWidth normalization for the vol filter.
• ATR Stop & Management – core risk rules: ATR multiplier, stop/trail mode, min ATR distance.
• SuperTrend Settings – trend bias and ST-flip exits.
• SmartMoney Preset – quick switch between EtherFlux and SmartMoney tuning.
• Volume Exits – low volume / opposite spike / both.
• Session Filter – hour-based trading window + optional forced flat outside session.
• Follow-Signal Mode – flip from long→short or short→long when signal reverses (signal-based rotation).
• TP Lock – secure profits at a fixed amount and optionally block same-direction re-entries.
• Liq Zones – visual only, for liquidity map (no direct trade logic).
How to Use (My Suggestion)
Start on 15m–4H charts for liquid pairs (BTC, ETH, majors).
Choose your preset:
– EtherFlux for more general breakout + vol trading.
– SmartMoney if you want stricter SMC behaviour.
Turn on SuperTrend + ATR stops for cleaner risk management.
Forward-test in replay / paper trading before using real capital.
Use the visual BOS/CHoCH + Liq Zones as context , not as blind signals.
Important
This is a backtest & research tool . It is not financial advice and does not guarantee profits. Always combine it with your own risk management, position sizing, and forward-testing before going live. Trading leveraged products and crypto can result in partial or full loss of capital.
Oracle Protocol — Arch Public (Testing Clone) Oracle Protocol — Arch Public Series (testing clone)
This model implements the Arch Public Oracle structure: a systematic accumulation-and-distribution engine built around a dynamic Accumulation Cost Base (ACB), strict profit-gate exit logic, and a capital-bounded flywheel reinvestment system.
It is designed for transparent execution, deterministic behaviour, and rule-based position management.
Core Function Set
1. Accumulation Framework (ACB-Driven)
The accumulation engine evaluates market movement against defined entry conditions, including:
Percentage-based entry-drop triggers
Optional buy-below-ACB mode
Capital-gated entries tied to available ledger balance
Fixed-dollar and min-dollar entry rules (as seen in Arch public materials)
Automated sizing through flywheel capital
Range-bounded ledger for controlled backtesting input
Each qualifying buy updates the live ACB, maintains the internal ledger, and forms the next reference point for exit evaluation.
No forecasting mechanisms are included.
2. Profit-Gate Exit System
Exits are governed by the standard Arch public approach:
A sealed ACB reference for threshold evaluation
Optional live-ACB visibility
Profit-gate triggers defined per asset class
Candle-confirmation integration (“ProfitGate + Candle” mode)
Distribution only when the smallest active threshold is met
This provides a consistent cadence with published Arch diagrams and PDFs.
3. Once-Per-Rally Governance
After a distribution, the algorithm locks until price retraces below the most recent accumulation base.
Only after re-arming can the next profit gate activate.
This prevents over-frequency selling and aligns with the public-domain Oracle behaviour.
4. Quiet-Bars & Threshold Cluster Control
A volatility-stabilisation layer prevents multiple exits from micro-fluctuations or transient spikes.
This ensures clean execution during fast markets and high volatility.
5. Flywheel Reinvestment
Distribution proceeds automatically return to the capital pool where permitted, creating a closed system of:
Entry sizing
Exit proceeds
Ledger-managed capital state
All sizing respects capital boundaries and does not breach dollar floors or overrides.
6. Automation Hooks and Integration
The script exposes:
3Commas-compatible JSON sizing
Entry/exit signalling via alertcondition()
Deterministic event reporting suitable for external automation
This allows consistent deployment across automated execution environments.
7. Visual Tooling
Optional displays include:
Live ACB line
Exit-guide markers
Capital, state, and ledger panels
Realized/unrealized outcome tracking based on internal logic only
Visual components do not influence execution rules.
Operating Notes
This model is rule-based, deterministic, and non-predictive.
It executes only according to the explicit thresholds, capital limits, and state transitions defined within the script.
No discretionary or forward-looking logic is included.
RSI-Adaptive T3 & SAR Strategy [PrimeAutomation]⯁ OVERVIEW
The RSI-Adaptive T3 and SAR Confluence Strategy combines adaptive smoothing with dynamic trend confirmation to identify precise trend reversals and continuation opportunities. It fuses the power of an RSI-based adaptive T3 moving average with the Parabolic SAR filter , aiming to trade in harmony with dominant momentum shifts while maintaining tight control through automatic stop-loss placement.
The RSI-Adaptive T3 is a precision trend-following tool built around the legendary T3 smoothing algorithm developed by Tim Tillson, designed to enhance responsiveness while reducing lag compared to traditional moving averages. Current implementation takes it a step further by dynamically adapting the smoothing length based on real-time RSI conditions — allowing the T3 to “breathe” with market volatility. This dynamic length makes the curve faster in trending moves and smoother during consolidations.
To help traders visualize volatility and directional momentum, adaptive volatility bands are plotted around the T3 line, with visual crossover markers and a dynamic info panel on the chart. It’s ideal for identifying trend shifts, spotting momentum surges, and adapting strategy execution to the pace of the market.
⯁ LOGIC
The T3 moving average length dynamically adjusts based on RSI values — when RSI is high, the smoothing period shortens to react faster; when RSI is low, the period increases for stability in slow markets.
A Parabolic SAR filter confirms directional bias, ensuring trades only occur in alignment with the broader market trend.
Long Entries: Trigger when the T3 curve crosses upward while the current price remains above the SAR — signaling bullish momentum alignment.
Short Entries: Trigger when the T3 crosses downward while the price remains below the SAR — confirming bearish trend alignment.
Stops: Dynamic stops are placed using the highest or lowest price over a set lookback period, adapting automatically to market volatility.
⯁ FEATURES
RSI-Adaptive T3 Filter: Adjusts smoothing in real time to market conditions, blending responsiveness with noise reduction.
SAR Confluence Check: Prevents counter-trend entries by confirming momentum direction via the Parabolic SAR.
Automatic Stop Placement: Uses recent highs or lows as stop-loss anchors, minimizing risk exposure.
Color-coded Visualization: The T3 line dynamically changes color based on slope direction, making momentum shifts visually intuitive.
Smoothed Trend Structure: Reduces market noise, allowing cleaner, more reliable trend recognition across different assets.
⯁ CONCLUSION
The RSI-Adaptive T3 and SAR Confluence Strategy delivers an advanced fusion of adaptive smoothing and structural confirmation. By combining RSI-driven reactivity with Parabolic SAR trend validation, this strategy offers a balanced approach to identifying sustainable momentum reversals while maintaining strong risk management through automatic stop levels. Ideal for traders who seek precision entries aligned with adaptive trend dynamics.
黃金5KCompelling Sales Description:
Unlock the Treasure of Consistent Profits!
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Tired of guessing when to enter or exit trades? Let our advanced algorithm do the heavy lifting for you. This strategy seamlessly combines:
RSI (Relative Strength Index) to identify overbought or oversold conditions.
Bollinger Bands (BB) to track volatility and pinpoint potential breakouts.
Channel Trading to capitalize on trending markets and price boundaries.
Fully automated, this system executes trades with precision, eliminating emotional decisions and saving you time. Whether you're a beginner or an experienced trader, this strategy adapts to market shifts to help you stay ahead.
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Contact us for details at: kbocc123@gmail.com
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ILM & IFVG StrategyPlease feel free to adjust in any way possible. Let me know if you can create something better from this initial coding.
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// Inverted Liquidity Model (ILM) – Strategy
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//
// The **Inverted Liquidity Model (ILM)** is a liquidity-based algorithm
// built to capture high-probability reversals after:
//
// • A liquidity sweep (SSL/BSL taken)
// • Rejection back inside the range
// • A Fair Value Gap (FVG) forms
// • That FVG becomes invalidated → becomes an IFVG entry zone
//
// ILM combines:
// • LTF BOS / CHOCH structure confirmation
// • HTF structure (expansion) filtering
// • Premium / Discount filter (17:00 CST session midline)
// • Optional ATR volatility filter
// • Optional trading session restrictions
// • Optional partial profit-taking + runners
//
// When all conditions align, the strategy enters:
// ✔ Long after sweep of SSL + valid long IFVG + trend confirmation
// ✔ Short after sweep of BSL + valid short IFVG + trend confirmation
//
// Stops are placed at the sweep wick.
// Full target is set at the next structural high/low.
// Optional partial TP sends a runner to full target.
//
// Visual tools (labels, sweep lines, IFVG boxes, midline) assist
// with review and forward testing.
//
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// USER CONFIGURABLE FEATURES
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//
// • **Liquidity & Structure**
// - pivotLen → swing length for pivots / liquidity
// - htfOn → toggle higher-timeframe pivots
// - htfTF → timeframe for HTF structure/liquidity
// - useStructureFilter → enforce LTF BOS/CHOCH trend
// - useHtfExpansionFilter → enforce HTF trend
// - showStructureLabels → show BOS/CHOCH labels
// - showHtfStructureLabels → show HTF BOS/CHOCH labels
//
// • **Premium / Discount Midline**
// - usePremiumDiscountFilter → only long in discount / short in premium
// - pdSession → session used for midline (default 17:00 CST)
// - showPdMidLine → show 50% midline
//
// • **FVG / IFVG Detection**
// - useBodyGapFVG → FVG uses candle bodies instead of wicks
// - useDisplacementFVG → require displacement bar
// - dispAtrMult → minimum ATR threshold for displacement
// - showIFVG → draw IFVG boxes
//
// • **ATR / Volatility / Sessions**
// - useRangeFilter → require minimum ATR%
// - atrLen → ATR period
// - minAtrPerc → minimum ATR% of price
// - useSessionFilter → restrict trading hours
// - sessionTimes → allowed trading session
//
// • **Sweep Visualization**
// - showSweepLines → draw sweep lines at SSL/BSL sweeps
// - sweepLineWidth → thickness of sweep lines
//
// • **Exits: Partial Targets & Runners**
// - usePartialTargets → enable partial TP logic
// - tp1QtyPercent → percent closed at TP1
// - tp1FractionOfPath → TP1 relative to path to full target
//
// • **Formatting / Visibility**
// - labelFontSizeInput → tiny / small / normal / large / huge
// - showEntries → entry markers
// - showTargets → target lines
//
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// END OF STRATEGY DESCRIPTION
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Intellect TBTS V02 [Strategy]📌 Intellect V01 TBO – Trend Breakout Options Strategy
Intellect V01 TBO is an intraday trend-breakout strategy designed for index traders who follow Nifty, BankNifty, and FinNifty.
It identifies trend shifts using structural pivots, adaptive trendlines, and volatility-adjusted breakout zones.
The strategy provides automatic Long/Short signals, optional stop-loss and target projections, and allows users to generate alert messages that include index-option strike information.
🔍 How the Strategy Works
1. Pivot-Based Structure
The script identifies short-term high and low pivots using a user-defined period.
These pivots become anchor points for constructing directional trendlines.
2. Dynamic Trendline Projection
For each pivot, the script builds:
A projected trendline
Two offset lines above/below
A volatility band based on ATR
These help detect potential breakout zones.
3. Breakout Signal Logic
A trade signal is generated when price crosses the projected trendline:
Long Signal – detected when price breaks above a pivot-derived trendline.
Short Signal – detected when price breaks below a pivot-derived trendline.
Users may optionally restrict entries to a specific time window.
🎯 Stop-Loss & Target Zones
When a trade is active:
SL and TP levels are set using ATR-based volatility distance
Levels appear visually on the chart if enabled
Exits occur automatically when TP/SL is hit
The strategy also closes open trades near the end of the session (default 3:10 PM)
These levels are for visual and backtesting support only.
📝 Index Option Strike Calculation (For Alert Text Only)
The strategy can dynamically compute:
ATM strike (with optional bias)
Correct expiry day for Nifty (weekly) and BankNifty/FinNifty (monthly Tuesday)
CE strike for Long signals
PE strike for Short signals
This strike information is only included in alert text for users who configure external automation.
It does not affect backtesting results inside TradingView.
⏱️ Time Window Filter (Optional)
Users may define:
Start time
End time
Outside this window, no new trades are generated.
🎛️ User Adjustable Inputs
Pivot lookback period
Trendline style and extension
Display of target/stop-loss
Expiry selection mode
Strike-bias
Lot size (for alert formatting only)
Time filter settings
🔔 Alert Messages
Alerts include:
Direction (Long/Short)
Strike details
Option type (CE/PE)
Quantity
A formatted JSON message
TradingView does not execute these orders.
Users are responsible for managing external automation independently.
⚠️ Important Notes
This script does not integrate with any broker by default.
It does not place trades automatically; alerts only send text.
Backtests simulate index movement, not live option pricing.
We recommend using realistic slippage and commission settings.
✔️ This strategy is intended for educational and analytical use. Adjust settings as needed.
✅ 2. CLEAN CHART BEFORE PUBLISHING
To avoid moderator flags:
Do This Before Publishing:
✔ Remove all manual drawings
✔ Hide any other indicators on the chart
✔ Use light or clean background
✔ Keep only signals/SL/TP from your script
If you leave extra drawings, moderators may hide the script again.
✅ 3. FINAL PUBLISHING CHECKLIST
Before you click Publish, verify:
✔ Description matches the one above
✔ No broker names anywhere
✔ No "algo trading" or "automation" advertising
✔ Backtest settings are realistic
Commission enabled
Slippage > 1
Reasonable lot assumption
✔ Chart is clean
✔ Script is set to “Strategy” and compiles without warnings
