Multi-Signal Regime and Momentum Trading Strategy
Summary
This Pine strategy combines market-regime classification, trend and momentum signals, volume pressure, pivot structure, and volatility measures. It estimates directional, equilibrium, and chaotic conditions using price efficiency, ATR rank, and an ADX-style directional measure. Multiple technical layers—including an adaptive EMA ribbon, smoothed Laguerre momentum, flow measures, structure breaks, gaps, and range breakouts—contribute to trade signals and dashboard readouts.
The script includes configurable signal strength, risk percentage, profit and stop multipliers, and trailing stops, with simulated commission and slippage settings. It also provides alert conditions for signals, structure events, flow reversals, and pressure extremes. The supplied excerpt is incomplete, omitting much of the signal construction and order logic, and it presents no performance results or validation. The many calculated indicators and adjustable thresholds therefore describe a complex strategy framework, not evidence that the approach is profitable or robust across markets.
Key ideas
- The strategy classifies conditions as directional, equilibrium, or chaotic using efficiency, volatility, and directional conviction measures.
- An EMA ribbon, Laguerre-derived momentum, and temporal flow features provide additional trend and momentum context.
- Volume pressure estimates buying and selling activity from bar shape and volume, with thresholds for strong and extreme readings.
- Pivot structure, gaps, and range breaks add potential market-structure and breakout signals.
- Risk and signal settings are configurable, but the excerpt does not include enough entry logic or results to evaluate performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.