Imbalance RSI Divergence Strategy# Imbalance RSI Divergence Strategy - User Guide
## What is This Strategy?
This strategy identifies **imbalance** zones in the market and combines them with **RSI divergence** to generate trading signals. It aims to capitalize on price gaps left by institutional investors and large volume movements.
### Main Settings
- **RSI Period (14)**: Period used for RSI calculation. Lower values = more sensitive, higher values = more stable signals.
- **ATR Period (10)**: Period for volatility measurement using Average True Range.
- **ATR Stop Loss Multiplier (2.0)**: How many ATR units to use for stop loss calculation.
- **Risk:Reward Ratio (4.0)**: Risk-reward ratio. 2.0 = 2 units of reward for 1 unit of risk.
- **Use RSI Divergence Filter (true)**: Enables/disables the RSI divergence filter.
### Imbalance Filters
- **Minimum Imbalance Size (ATR) (0.3)**: Minimum imbalance size in ATR units to filter out small imbalances.
- **Enable Lookback Limit (false)**: Activates historical lookback limitations.
- **Maximum Lookback Bars (300)**: Maximum number of bars to look back.
### Visual Settings
- **Show Imbalance Size**: Displays imbalance size in ATR units.
- **Show RSI Divergence Lines**: Shows/hides divergence lines.
- **Divergence Line Colors**: Colors for bullish/bearish divergence lines.
### Volatility-Based Adjustments
- **Low volatility markets**:
- Minimum Imbalance Size: 0.2-0.4 ATR
- ATR Stop Loss Multiplier: 1.5-2.0
- **High volatility markets**:
- Minimum Imbalance Size: 0.5-1.0 ATR
- ATR Stop Loss Multiplier: 2.5-3.5
### Risk Tolerance
- **Conservative approach**:
- Risk:Reward Ratio: 2.0-3.0
- RSI Divergence Filter: Enabled
- Minimum Imbalance Size: Higher (0.5+ ATR)
- **Aggressive approach**:
- Risk:Reward Ratio: 4.0-6.0
- Minimum Imbalance Size: Lower (0.2-0.3 ATR)
###Market Conditions
- **Trending markets**: Higher RSI Period (21-28)
- **Sideways markets**: Lower RSI Period (10-14)
- **Volatile markets**: Higher ATR Multiplier
## Recommended Testing Procedure
1. **Start with default settings** and backtest on 3-6 months of historical data
2. **Adjust RSI Period** to see which value produces better results
3. **Optimize ATR Multiplier** for stop loss levels
4. **Test different Risk:Reward ratios** comparatively
5. **Fine-tune Minimum Imbalance Size** to improve signal quality
## Important Considerations
- **False positive signals**: Imbalances may be less reliable during low volatility periods
- **Market openings**: First hours often produce more imbalances but can be riskier
- **News events**: Consider disabling strategy during major news releases
- **Backtesting**: Test across different market conditions (trending, sideways, volatile)
## Recommended Settings for Beginners
**Safe settings for new users:**
- RSI Period: 14
- ATR Period: 14
- ATR Stop Loss Multiplier: 2.5
- Risk:Reward Ratio: 3.0
- Minimum Imbalance Size: 0.5 ATR
- RSI Divergence Filter: Enabled
## Advanced Tips
### Signal Quality Improvement
- **Combine with market structure**: Look for imbalances near key support/resistance levels
- **Volume confirmation**: Higher volume during imbalance formation increases reliability
- **Multiple timeframe analysis**: Confirm signals on higher timeframes
### Risk Management
- **Position sizing**: Never risk more than 1-2% of account per trade
- **Maximum drawdown**: Set overall stop loss for the strategy
- **Market hours**: Consider avoiding low liquidity periods
### Performance Monitoring
- **Win rate**: Track percentage of profitable trades
- **Average R:R**: Monitor actual risk-reward achieved vs. target
- **Maximum consecutive losses**: Set alerts for strategy review
This strategy works best when combined with proper risk management and market analysis. Always backtest thoroughly before using real money and adjust parameters based on your specific market and trading style.
Penunjuk dan strategi
2 Reds -> 2 Greens Strategy with Custom TP/SLcustom candle configuration with a 61 percent win rate in the strategy tester user can configure take profit and stop loss to suit
Amiya's Crude Oil Alligator RSI StrategyCrude Oil Futures with the following conditions:
15 minutes candle.
Indicators: William Alligator and RSI- both default setting.
Buy signal to be generated when following conditions are met:
1. Candle closes above Lips.
2. Lips is above teeth
3. Teeth is above jaws
4. RSI is above 55.
Stop loss when either of the following conditions are met:
1. RSI is below 50 or
2. Candle close crosses below Teeth or
3. Lips is lower than teeth.
Take Profit Signal to be generated when the current price is 25 rupees above the entry price.
Sell signal to be generated when following conditions are met:
1. Candle closes below lips.
5. Lips is below teeth
6. Teeth is below jaws
7. RSI is below 45.
Stop loss when either of the following conditions are met:
2. RSI is above 50 or
3. Candle close crosses above Teeth or
4. Lips is higher than teeth.
Take Profit Signal to be generated when the current price is 25 rupees lower than the entry price.
In cases of Buy Signal, Sell Signal, Stop Loss and Take Profit, alerts should be generated and also, alerts should be shown on the chart, mentioning Buy Signal, Sell Signal, Stop Loss and Take Profit.
Mutanabby_AI | ATR+ | Trend-Following StrategyThis document presents the Mutanabby_AI | ATR+ Pine Script strategy, a systematic approach designed for trend identification and risk-managed position entry in financial markets. The strategy is engineered for long-only positions and integrates volatility-adjusted components to enhance signal robustness and trade management.
Strategic Design and Methodological Basis
The Mutanabby_AI | ATR+ strategy is constructed upon a foundation of established technical analysis principles, with a focus on objective signal generation and realistic trade execution.
Heikin Ashi for Trend Filtering: The core price data is processed via Heikin Ashi (HA) methodology to mitigate transient market noise and accentuate underlying trend direction. The script offers three distinct HA calculation modes, allowing for comparative analysis and validation:
Manual Calculation: Provides a transparent and deterministic computation of HA values.
ticker.heikinashi(): Utilizes TradingView's built-in function, employing confirmed historical bars to prevent repainting artifacts.
Regular Candles: Allows for direct comparison with standard OHLC price action.
This multi-methodological approach to trend smoothing is critical for robust signal generation.
Adaptive ATR Trailing Stop: A key component is the Average True Range (ATR)-based trailing stop. ATR serves as a dynamic measure of market volatility. The strategy incorporates user-defined parameters (
Key Value and ATR Period) to calibrate the sensitivity of this trailing stop, enabling adaptation to varying market volatility regimes. This mechanism is designed to provide a dynamic exit point, preserving capital and locking in gains as a trend progresses.
EMA Crossover for Signal Generation: Entry and exit signals are derived from the interaction between the Heikin Ashi derived price source and an Exponential Moving Average (EMA). A crossover event between these two components is utilized to objectively identify shifts in momentum, signaling potential long entry or exit points.
Rigorous Stop Loss Implementation: A critical feature for risk mitigation, the strategy includes an optional stop loss. This stop loss can be configured as a percentage or fixed point deviation from the entry price. Importantly, stop loss execution is based on real market prices, not the synthetic Heikin Ashi values. This design choice ensures that risk management is grounded in actual market liquidity and price levels, providing a more accurate representation of potential drawdowns during backtesting and live operation.
Backtesting Protocol: The strategy is configured for realistic backtesting, employing fill_orders_on_standard_ohlc=true to simulate order execution at standard OHLC prices. A configurable Date Filter is included to define specific historical periods for performance evaluation.
Data Visualization and Metrics: The script provides on-chart visual overlays for buy/sell signals, the ATR trailing stop, and the stop loss level. An integrated information table displays real-time strategy parameters, current position status, trend direction, and key price levels, facilitating immediate quantitative assessment.
Applicability
The Mutanabby_AI | ATR+ strategy is particularly suited for:
Cryptocurrency Markets: The inherent volatility of assets such as #Bitcoin and #Ethereum makes the ATR-based trailing stop a relevant tool for dynamic risk management.
Systematic Trend Following: Individuals employing systematic methodologies for trend capture will find the objective signal generation and rule-based execution aligned with their approach.
Pine Script Developers and Quants: The transparent code structure and emphasis on realistic backtesting provide a valuable framework for further analysis, modification, and integration into broader quantitative models.
Automated Trading Systems: The clear, deterministic entry and exit conditions facilitate integration into automated trading environments.
Implementation and Evaluation
To evaluate the Mutanabby_AI | ATR+ strategy, apply the script to your chosen chart on TradingView. Adjust the input parameters (Key Value, ATR Period, Heikin Ashi Method, Stop Loss Settings) to observe performance across various asset classes and timeframes. Comprehensive backtesting is recommended to assess the strategy's historical performance characteristics, including profitability, drawdown, and risk-adjusted returns.
I'd love to hear your thoughts, feedback, and any optimizations you discover! Drop a comment below, give it a like if you find it useful, and share your results.
Amiya's NaturalGas Futures StrategyNaturalGas Futures- current month, 15 minutes candle, Indicators: William Alligator and RSI- both default setting. Buy signal to be generated when Candle closes above Lips and Lips is above teeth and teeth is above jaws and RSI is above 55. Stop loss when RSI is below 50 or candle close crosses below Teeth or lips is lower than teeth. Sell Signal to be generated when candle closes below lips and lips is below teeth and teeth is below Jaws and RSI is below 45. Stop loss when candle closes above teeth or RSI is above 50. For Buy and Sell signal, Alert should be generated.
Keltner Alım Stratejisi v6 (10, 0.5)sadece keltner kanal girdilerinin değiştirilmesiyle oluşturulmuş bir göstergedir
The Barking Rat LiteMomentum & FVG Reversion Strategy
The Barking Rat Lite is a disciplined, short-term mean-reversion strategy that combines RSI momentum filtering, EMA bands, and Fair Value Gap (FVG) detection to identify short-term reversal points. Designed for practical use on volatile markets, it focuses on precise entries and ATR-based take profit management to balance opportunity and risk.
Core Concept
This strategy seeks potential reversals when short-term price action shows exhaustion outside an EMA band, confirmed by momentum and FVG signals:
EMA Bands:
Parameters used: A 20-period EMA (fast) and 100-period EMA (slow).
Why chosen:
- The 20 EMA is sensitive to short-term moves and reflects immediate momentum.
- The 100 EMA provides a slower, structural anchor.
When price trades outside both bands, it often signals overextension relative to both short-term and medium-term trends.
Application in strategy:
- Long entries are only considered when price dips below both EMAs, identifying potential undervaluation.
- Short entries are only considered when price rises above both EMAs, identifying potential overvaluation.
This dual-band filter avoids counter-trend signals that would occur if only a single EMA was used, making entries more selective..
Fair Value Gap Detection (FVG):
Parameters used: The script checks for dislocations using a 12-bar lookback (i.e. comparing current highs/lows with values 12 candles back).
Why chosen:
- A 12-bar displacement highlights significant inefficiencies in price structure while filtering out micro-gaps that appear every few bars in high-volatility markets.
- By aligning FVG signals with candle direction (bullish = close > open, bearish = close < open), the strategy avoids random gaps and instead targets ones that suggest exhaustion.
Application in strategy:
- Bullish FVGs form when earlier lows sit above current highs, hinting at downward over-extension.
- Bearish FVGs form when earlier highs sit below current lows, hinting at upward over-extension.
This gives the strategy a structural filter beyond simple oscillators, ensuring signals have price-dislocation context.
RSI Momentum Filter:
Parameters used: 14-period RSI with thresholds of 80 (overbought) and 20 (oversold).
Why chosen:
- RSI(14) is a widely recognized momentum measure that balances responsiveness with stability.
- The thresholds are intentionally extreme (80/20 vs. the more common 70/30), so the strategy only engages at genuine exhaustion points rather than frequent minor corrections.
Application in strategy:
- Longs trigger when RSI < 20, suggesting oversold exhaustion.
- Shorts trigger when RSI > 80, suggesting overbought exhaustion.
This ensures entries are not just technically valid but also backed by momentum extremes, raising conviction.
ATR-Based Take Profit:
Parameters used: 14-period ATR, with a default multiplier of 4.
Why chosen:
- ATR(14) reflects the prevailing volatility environment without reacting too much to outliers.
- A multiplier of 4 is a pragmatic compromise: wide enough to let trades breathe in volatile conditions, but tight enough to enforce disciplined exits before mean reversion fades.
Application in strategy:
- At entry, a fixed target is set = Entry Price ± (ATR × 4).
- This target scales automatically with volatility: narrower in calm periods, wider in explosive markets.
By avoiding discretionary exits, the system maintains rule-based discipline.
Visual Signals on Chart
Blue “▲” below candle: Potential long entry
Orange/Yellow “▼” above candle: Potential short entry
Green “✔️”: Trade closed at ATR take profit
Blue (20 EMA) & Orange (100 EMA) lines: Dynamic channel reference
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: HYPEUSDT
Backtesting range: Jul 28, 2025 — Aug 17, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Lite strategy is very selective, filtering out over 90% of market noise. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods.
The strategy generates a sizeable number of trades, reducing reliance on a single outcome.
Combined with conservative filters, the 25% setting offers a balance between aggression and control.
Users are strongly encouraged to customize this to suit their risk profile.
What makes Barking Rat Lite valuable
Combines multiple layers of confirmation: EMA bands + FVG + RSI
Adaptive to volatility: ATR-based exits scale with market conditions
Clear, actionable visuals: Easy to monitor and manage trades
Crypto Gann Channel Strategy (Long Bias, fixed)This is Gann Strategy Cody with Long Bias. Please try and let me know if can be improved.
Adaptive MVRV & RSI Strategy V6 (Dynamic Thresholds)Strategy Explanation
This is an advanced Dollar-Cost Averaging (DCA) strategy for Bitcoin that aims to adapt to long-term market cycles and changing volatility. Instead of relying on fixed buy/sell signals, it uses a dynamic, weighted approach based on a combination of on-chain data and classic momentum.
Core Components:
Dual-Indicator Signal: The strategy combines two powerful indicators for a more robust signal:
MVRV Ratio: An on-chain metric to identify when Bitcoin is fundamentally over or undervalued relative to its historical cost basis.
Weekly RSI: A classic momentum indicator to gauge long-term market strength and identify overbought/oversold conditions.
Dynamic, Self-Adjusting Thresholds: The core innovation of this strategy is that it avoids fixed thresholds (e.g., "sell when RSI is 70"). Instead, the buy and sell zones are dynamically calculated based on a long-term (2-year) moving average and standard deviation of each indicator. This allows the strategy to automatically adapt to Bitcoin's decreasing volatility and changing market structure over time.
Weighted DCA (Scaling In & Out): The strategy doesn't just buy or sell a fixed amount. The size of its trades is scaled based on conviction:
Buying: As the MVRV and RSI fall deeper into their "undervalued" zones, the percentage of available cash used for each purchase increases.
Selling: As the indicators rise further into "overvalued" territory, the percentage of the current position sold also increases.
This creates an adaptive system that systematically accumulates during periods of fear and distributes during periods of euphoria, with the intensity of its actions directly tied to the extremity of market conditions.
Jimb0ws Strategy Trending Info PanelsJimb0ws Strategy — Golden Candles + Bubble Zones
A price-action/EMA strategy built for FX scalping and intraday swings. It colors Golden Candles when strong bodies touch/skim EMA20/50 in trend (“bubble”) and optionally highlights Robin Candles (break of the prior golden body). Signals are throttled per bubble and filtered by multiple higher-timeframe conditions.
How it trades
Trend bubbles: Uses EMA20/50/100/200 alignment on the chart timeframe; also reads 1H & 4H bubbles for context.
Entries: BUY/SELL labels appear only when a golden setup aligns with fractal/structure checks and all active filters pass.
Stops/Targets (strategy mode):
• Longs: SL = EMA100 if EMA200 > EMA100, else SL = EMA200.
• Shorts: SL = EMA100 if EMA200 < EMA100, else SL = EMA200.
• TP = RR × risk (default 2R).
An on-chart SL/TP info label prints the exact prices at each signal.
Risk filter options: disable beyond 1H EMA50, proximity band around 1H EMA50, wick overdrive veto, session filter (toggle on/off), max signals per bubble.
Visuals & tools
Colored EMAs (20/50/100/200), bubble zone background.
4H info panel (state, start time, duration); Prev-Day ATR panel sits above it.
Optional 1H info panel and consolidation warning.
Fractal markers (size selectable).
Alerts
1H bubble state change (Long/Short/Consolidation).
BUY/SELL signals.
Inputs worth checking
Session & timezone, min body size, pip tolerances, proximity/WOD filters, max signals per bubble, RR, SL/TP label offset.
Notes
Best on FX pairs; pip = mintick × 10. Backtest and adjust to your instrument and session. This is not financial advice.
PP_Solstice StrategyThis strategy was developed by Vinay with inputs from Warren, Dodgie and others to replicate TOS AGAIG indicators. It is available for free of use.
DCA Strategy on Steroids for CryptoThis strategy getting only in Long position for Crypto
Using Fast and Slow moving Averages and Stochastic RSI to get in Long position
Fast and Slow moving Averages - cross-under - I Prefer - or opposite for Bull Market
Stochastic RSI cross-over - 5 and Trend Determined by the Fast moving Average
There is no Stop loss is not for one with small tolerance to getting under
Fast and Slow moving Averages and Stochastic RSI Parameters can be adjust
The bot Use Safe Trades and Price Deviation Determined from the User
Max Safe Trades = 10
Take profit Parameters can be adjust in %
Pepe-USDC is just a example What the bot Can do
Tweezers Bottom Strategy 5m - Long OnlyTweezers Bottom 5m Strategy – Catch Reversals Like a Pro!
Looking for fast, precise entries on the 5-minute chart? This strategy automatically detects the Tweezers Bottom candlestick pattern and opens long positions at the perfect moment. Signals appear as ▲ arrows on the chart, making it incredibly easy to spot high-probability setups.
Risk and Reward Perfectly Managed: Stop-loss is set just 0.1% below entry, and take-profit at 0.3% above, giving you a clear, controlled trading edge. All levels are visualized on the chart with lines and labels, so you always know where your risk and profit targets are.
Ideal for scalpers and short-term traders across Forex, crypto, and stocks. Enter reversals before the crowd, maximize your winning trades, and automate your trading with minimal risk!
EDWARDS 3MIN DOW STRATEGYSqueeze Momentum Strategy with EMA780 Trend Filter, ATR-SL, PT, EMA5 Exit Filter, and 3:57 PM Close
Institution Accumulation/DistributionLeveraging the Williams%R oscillator, the script has been optimized to pick out key turning point in the market specifically at Resistance (Overbought) or Support (Oversold)
The algo has been programmed to print both buy and sell alerts at extremes/when conditions flip eg a long position will be closed simultaneously opening a short position above resistance.
Best used as a scalping tool targeting 30m and below works well with currency pairs
Nifty Power -> Nifty 50 chart + EMA of RSI + avg volume strategyThis strategy works in 1 hour candle in Nifty 50 chart. In this strategy, upward trade takes place when there is a crossover of RSI 15 on EMA50 of RSI 15 and volume is greater than volume based EMA21. On the other hand, lower trade takes place when RSI 15 is less than EMA50 of RSI 15. Please note that there is no stop loss given and also that the trade will reverse as per the trend. Sometimes on somedays, there will be no trades. Also please note that this is an Intraday strategy. The trade if taken closes on 15:15 in Nifty 50. This strategy can be used for swing trading. Some pine script code such as supertrend and ema21 of close is redundant. Try not to get confused as only EMA50 of RSI 15 is used and EMA21 of volume is used. I am using built-in pinescript indicators and there is no special calculation done in the pine script code. I have taken numbars variable to count number of candles. For example, if you have 30 minuite chart then numbars variable will count the intraday candles accordingly and the same for 1 hour candles.
Simple Symmetrical Triangle Strategy (6 points)Overview
This strategy identifies triangle patterns formed by a series of key high and low price points. A trade is triggered when the price breaks out from the pattern's final confirmation points: a buy signal occurs on a close above the last high point, and a sell signal on a close below the last low point. To ensure relevance, any pattern that doesn't break out within 10 bars is automatically discarded.
This helps filter out patterns that lose momentum and focuses only on the most imminent breakouts.
How It Works
1. Pattern Detection: The script continuously scans for a sequence of three declining highs (points H1, H2, H3) and three rising lows (points L1, L2, L3) to form a triangle.
2. Entry Logic: The logic is straightforward and based on breaking the last confirmed pivot:
* Long Entry: A buy order is executed if the price closes above the level of the last high (H3).
* Short Entry: A sell order is executed if the price closes below the level of the last low (L3).
3. Pattern Expiration: A triangle only remains "active" for 10 bars after its formation. If a breakout doesn't occur within this window, the pattern is removed from analysis, avoiding trades on prolonged, unresolved consolidations.
Key Features
* Automatic Detection: Identifies and draws triangles for you.
* Simple Breakout Logic: Easy to understand, trades by following the price action.
* Time Filter: Its main advantage is discarding patterns that do not resolve quickly.
* Customizable: You can adjust the sensitivity of the pivot detection in the settings.
Important Disclaimer
This strategy is designed as an entry system and DOES NOT INCLUDE A STOP LOSS OR TAKE PROFIT.
Automation Ready
Want to automate this or ANY strategy on your broker or MetaTrader (MT4/MT5) without keeping your computer on or needing a VPS? You can use WebhookTrade.
Symmetrical Triangle Strategy (Real and Trap confirmation)Overview
This is an advanced strategy that not only detects symmetrical triangle patterns but also attempts to differentiate between a genuine breakout and a false breakout (a trap) to trade accordingly.
Instead of blindly following every breakout, it analyzes the "quality" of the move using Volume and RSI filters. If the breakout appears weak, it prepares to trade in the opposite direction, capitalizing on the pattern's failure.
How It Works
The strategy employs a dual logic that activates after the price breaks the last pivot (H3 or L3):
1. Scenario A: The Real Breakout
* If the price breaks the triangle AND the breakout is confirmed by a surge in volume and/or a favorable RSI, the strategy considers the move genuine and enters in the direction of the breakout.
2. Scenario B: The False Breakout (Trap)
* If the price breaks the triangle BUT the indicators fail to confirm it (e.g., low volume), the strategy interprets it as a potential trap.
* It waits for the price to return inside the pattern.
* Once the price has re-entered, it opens a trade AGAINST the initial breakout, betting that the first move was a fake-out.
Key Features
* Hybrid Logic: It's not just a simple breakout strategy; it adapts to market conditions.
* Confirmation Filters: Uses Volume and RSI to validate the strength of a breakout (fully configurable).
* Capitalizes on Traps: Its greatest strength is the ability to identify and trade false breakouts, a common market scenario.
* Optional Confirmation: For trap trades, an extra confirmation via an EMA crossover can be enabled for added safety.
* Opportunity Timeout: Potential traps have a time limit to be confirmed, preventing the strategy from getting stuck in an undecided scenario.
Important Disclaimer
This strategy is designed as an entry system and DOES NOT INCLUDE A STOP LOSS OR TAKE PROFIT.
Automation Ready
Want to automate this or ANY strategy on your broker or MetaTrader (MT4/MT5) without keeping your computer on or needing a VPS? You can use WebhookTrade.
EEI Strategy — Greedy/Guarded v1.2Purpose
Day‑trading strategy (5‑min focus) that hunts “armed” setups (PRE) and confirms them (GO) with greedy-but‑guarded execution. It adapts to symbol type, trend strength, and how long it’s been since the last signal.
Core signals & regime
Trend/Regime: EMA‑200 (intraday bias), VWAP, and a non‑repainting HTF EMA (via request.security(...) ).
Momentum/Structure: Manual Wilder DMI/ADX, micro‑ribbon (EMA 8/21), Bollinger‑Keltner squeeze + “squeeze fire,” BOS (break of swing high/low), pullback to band.
Liquidity/Vol: RVOL vs SMA(volume) + a latch (keeps eligibility a few bars after the first spike).
Volatility: ATR + ATR EMA (expansion).
PRE / GO engine
Score (0–100) aggregates trend, momentum, RVOL, squeeze, OBV slope, ribbon, pullback, BOS, and an Opening‑Range (OR) proximity penalty.
PRE arms when the adjusted score ≥ threshold and basic hygiene passes (ATR%, cooldown, etc.).
GO confirms within a dynamic window (1–3 bars):
Wick‑break mode on hot momentum (trend‑day / high ADX+RVOL): stop orders above/below the PRE high/low with a tick buffer.
Close‑through mode otherwise: close must push through PRE high/low plus ATR buffer.
Chase guard: entry cannot be too far from PRE price (ATR‑based), with a tiny extra allowance when the 8/21 ribbon aligns.
Multiple PREs per squeeze (capped) + per‑entry cooldown.
Adaptive behavior
Presets (Conservative/Balanced/Aggressive/Turbo) shift score/ADX/RVOL/ATR gates, GO window, cooldown, and max chase.
Profiles / Auto by Symbol:
Mega Trend (e.g., AMD/NVDA/TSLA/AAPL): looser chase, ATR stop, chandelier trail.
Mid Guarded (e.g., TTD/COIN/SOFI): swing stop, EMA trail, moderate gates.
Small Safe (e.g., BTAI/BBAI class): tighter gates, more guardrails.
BBAI micro‑override: easier arming (lower score/ADX/RVOL), multi‑PRE=3, swing stop + EMA trail, lighter OR penalty.
Trend‑day detector: if ADX hot + RVOL strong + ATR expanding + distance from day‑open large → GO window = 1 and wick‑break mode.
Mid‑day relaxers: mild score bonus between 10:30–14:30 to keep signals flowing in quieter tape.
Auto‑Relaxer (no‑signal fallback): after N bars without PRE/GO, gradually lowers score/ADX/RVOL/ATR% gates and raises max chase so the engine doesn’t stall on sleepy symbols.
Auto‑Session fallback: if RTH session isn’t detected (some tickers/premarket), it falls back to daily boundaries so Opening Range and day‑open logic still work.
Risk & exits
Initial stop per side chosen by ATR, Swing, or OR (computed every bar; no conditional calls).
Scaled targets: TP1/TP2 (R‑based) + runner with optional Chandelier or EMA trailing.
BE logic: optional move to breakeven after TP1; trailing can start after TP1 if configured.
Opening Range (OR)
Computes day open, OR high/low over configurable minutes; applies a penalty when entries are too close to OR boundary (lighter for small caps/BBAI). Protects against boundary whips.
Alerts & visuals
Alertconditions: PRE Long/Short Armed, GO Long/Short + explicit alert() calls for once‑per‑bar automation.
Plots: EMA‑200, HTF EMA, BB/KC bands, OR lines, squeeze shading, and PRE markers.
Why it’s robust
Non‑repainting HTF technique, all series precomputed every bar, no function calls hidden in conditionals that could break history dependence, and consistent state handling (var + sentinels).
Tuning cheat‑sheet (fast wins)
More trades: lower scoreBase, adxHot, or rvolMinBase a notch; reduce cooldownBase; increase maxPREperSqueeze.
Fewer whips: increase closeBufferATR, wickBufferTicks, or atrMinPct; reduce maxChaseATRBase.
Trend capture: use trailType="Chandelier", smaller trailLen, slightly larger trailMult; set preset="Aggressive".
Choppy names: prefer stopMode="Swing", enable EMA trail, keep OR penalty on.
EDWARDS SQUEEZE 3MINUTE DOWSqueeze Momentum Strategy with EMA780 Trend Filter, ATR-SL, PT, EMA5 Exit Filter, and 3:57 PM Close