Multi-Timeframe Trend and Momentum Filters with Market Structure Signals
Summary
This strategy combines trend direction across hourly, four-hour, and daily charts with momentum, optional volume and breakout filters, and market structure concepts. Trend is assessed using price relative to EMA and VWAP; signals are intended to align with a selected higher timeframe. A momentum filter compares bar-to-bar price change with an ATR-based threshold. Optional checks look for elevated volume or breaks of recent highs and lows. CHoCH and BOS labels mark potential reversals and continuations around pivot levels.
A dashboard summarizes trend scores, strength, confidence, and cumulative volume delta, while dynamic lines display recent swing-based support and resistance. Despite its AI framing, the described score is built from trend, momentum, and volatility inputs; the document provides no backtest results validating predictive value or claimed benefits. It warns that multiple filters may delay entries, market conditions or poor data may distort signals, and parameter tuning can overfit. Fixed profit and stop levels may also fail to suit changing volatility.
Key ideas
- Trend context is derived from price relative to EMA and VWAP on multiple timeframes.
- An ATR-adjusted momentum threshold and optional volume and breakout checks filter potential entries.
- CHoCH and BOS labels represent potential reversals and trend continuations around recent pivots.
- The dashboard presents a composite trend score and market context, but no evidence of forecasting accuracy is provided.
- Multiple filters can delay signals, and parameter overfitting, data quality, and fixed risk levels are stated limitations.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.