Regime Execution Strategy [JOAT] by officialjackofalltrades

By officialjackofalltrades

Performance Metrics

Description

Regime Execution Strategy [JOAT]IntroductionRegime Execution Strategy is an open-source TradingView strategy that integrates adaptive forecast context, extreme-channel state, trend pressure, relative volume, and EMA structure into a single rule-based execution model. The strategy is designed to be realistic, non-repainting, and readable rather than curve-fit to one symbol.The problem it solves is trade filtering. A single signal source can trigger too often in poor conditions. Regime Execution Strategy requires multiple independent votes before entries are allowed, then uses ATR-based stop and target logic for consistent risk framing.Core Concepts1. Adaptive Forecast BiasThe strategy estimates a dynamic mean and band structure. Price above or below the adaptive mean contributes to directional bias.2. Extreme Channel BiasPersistent upper and lower channel levels define a midpoint and directional state. The channel contributes a second independent vote.3. Pressure and Structure GateMomentum, pullback location, and fast/slow EMA structure contribute to the regime score. A minimum vote count and relative-volume filter are required before entry.Pine Script®longSignal = barstate.isconfirmed and bullVotes >= voteThreshold and bullRegime and (longBreakout or longReclaim)4. ATR-Based Risk ManagementStops and targets are derived from ATR and position average price. The strategy also includes max drawdown and max intraday filled order risk controls.FeaturesIntegrated regime detection: Forecast, channel, pressure, and EMA structure combine into a regime scoreMulti-vote entry logic: Entries require several independent components to alignMore active defaults: Default RVOL and regime thresholds are permissive enough to participate across many timeframesATR stop and target: Risk is framed with volatility-adjusted exitsBias-flip exits: Positions can close when the opposing regime gains enough votesRisk controls: Max drawdown and max intraday filled orders are includedOverlay visuals: Forecast bands and adaptive channel context can be displayed on chartTop-right dashboard: Regime, score, pressure, RVOL, votes, position, band width, and setupAlerts: Long and short setup eventsInput ParametersForecast:Source, Forgetting Factor, Regression Horizon, Band Multiplier, ATR Blend, and Rebase IntervalRegime:Fast EMA and Slow EMA: Trend structure referencesPressure Length: Momentum and pullback windowPressure Threshold: Minimum pressure vote thresholdMin RVOL: Participation filterMin Votes: Minimum number of aligned components for entriesRisk:Stop ATR: Stop distance multiplierTarget ATR: Target distance multiplierMax Drawdown %: Strategy risk halt settingMax Intraday Filled Orders: Limits daily trade frequencyHow to Use This StrategyStep 1: Read the dashboard regime before judging entries.Step 2: Use votes and pressure to understand why a setup qualified.Step 3: Review stop and target settings for the symbol and timeframe being tested.Step 4: Evaluate results across multiple markets and date ranges, not one optimized window.Strategy LimitationsThis strategy is not optimized for a specific symbol or timeframeMore active defaults can increase trade count and also increase exposure to choppy periodsBacktest fills are simulated by TradingView and may not match live executionAll entry signals use confirmed-bar logic, so entries can occur after the intrabar move has begunStrategy performance should be evaluated with realistic commission, slippage, and position sizingOriginality StatementRegime Execution Strategy is original in its integration of adaptive forecast bias, extreme-channel state, pressure voting, relative volume gating, EMA structure, ATR exits, and dashboard reporting into one open-source strategy. It does not copy third-party source code.DisclaimerThis open-source strategy is for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Backtested results do not predict future performance. Trading involves substantial risk, and users are responsible for their own risk management.-Made with passion by jackofalltrades

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