A Regime and Market-Structure Strategy with Probabilistic Filters
Summary
The visible portion describes a self-contained TradingView strategy that combines market regime, price structure, pressure, auction behavior, and probabilistic continuation. It uses configurable fast, medium, and slow exponential averages, ATR, regime and transition memories, pivot confirmation, pressure and volume windows, and auction-related settings. A minimum continuation probability and execution score act as filters. The strategy confirms decisions at bar close and offers optional higher-timeframe and trading-session filters.
Risk controls include an ATR-based stop distance, three configurable reward targets with partial quantities, and optional exits when the regime changes or pressure signals risk-off. The listed script settings show an initial capital, commission, slippage, and no pyramiding, but the supplied document cuts off before the remaining code and gives no backtest results. As a result, the exact signal calculations, position sizing, and realized performance cannot be assessed from this excerpt; the inputs describe an architecture rather than evidence that the method is profitable.
Key ideas
- The strategy is presented as a self-contained system combining regime, structure, pressure, auction, and continuation modules.
- Moving averages, ATR, pivots, volume, and historical transition estimates are among its configurable inputs.
- Optional confirmed higher-timeframe and session filters can restrict trade signals.
- Risk settings include an ATR-based stop, staged profit targets, and regime or pressure exits.
- The excerpt ends before the strategy logic is complete and supplies no performance results.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.