Regime Execution Strategy [JOAT]

Regime Execution Strategy [JOAT]

Introduction

Regime 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 Concepts

1. Adaptive Forecast Bias

The strategy estimates a dynamic mean and band structure. Price above or below the adaptive mean contributes to directional bias.

2. Extreme Channel Bias

Persistent upper and lower channel levels define a midpoint and directional state. The channel contributes a second independent vote.

3. Pressure and Structure Gate

Momentum, pullback location, and fast/slow EMA structure contribute to the regime score. A minimum vote count and relative-volume filter are required before entry.

longSignal = barstate.isconfirmed and bullVotes >= voteThreshold and bullRegime and (longBreakout or longReclaim)

4. ATR-Based Risk Management

Stops and targets are derived from ATR and position average price. The strategy also includes max drawdown and max intraday filled order risk controls.

Features

• Integrated regime detection: Forecast, channel, pressure, and EMA structure combine into a regime score
• Multi-vote entry logic: Entries require several independent components to align
• More active defaults: Default RVOL and regime thresholds are permissive enough to participate across many timeframes
• ATR stop and target: Risk is framed with volatility-adjusted exits
• Bias-flip exits: Positions can close when the opposing regime gains enough votes
• Risk controls: Max drawdown and max intraday filled orders are included
• Overlay visuals: Forecast bands and adaptive channel context can be displayed on chart
• Top-right dashboard: Regime, score, pressure, RVOL, votes, position, band width, and setup
• Alerts: Long and short setup events

Input Parameters

Forecast:

• Source, Forgetting Factor, Regression Horizon, Band Multiplier, ATR Blend, and Rebase Interval

Regime:

• Fast EMA and Slow EMA: Trend structure references
• Pressure Length: Momentum and pullback window
• Pressure Threshold: Minimum pressure vote threshold
• Min RVOL: Participation filter
• Min Votes: Minimum number of aligned components for entries

Risk:

• Stop ATR: Stop distance multiplier
• Target ATR: Target distance multiplier
• Max Drawdown %: Strategy risk halt setting
• Max Intraday Filled Orders: Limits daily trade frequency

How to Use This Strategy

Step 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 Limitations

• This strategy is not optimized for a specific symbol or timeframe
• More active defaults can increase trade count and also increase exposure to choppy periods
• Backtest fills are simulated by TradingView and may not match live execution
• All entry signals use confirmed-bar logic, so entries can occur after the intrabar move has begun
• Strategy performance should be evaluated with realistic commission, slippage, and position sizing

Originality Statement

Regime 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.

Disclaimer

This 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