Combining Trend, Structure, and Volume Signals in a Trading Strategy

Summary

This strategy combines confirmed swing breaks with several trend and pressure measures to score long and short conditions. Its inputs include higher-timeframe direction, ALMA signals across multiple timeframes, moving-average alignment, a smoothed price velocity and acceleration estimate, linear-regression fit and slope, and volume-derived measures such as relative volume, OBV, and an intrabar delta proxy. Entries require a sufficiently strong directional score, supporting delta and volume, a minimum volatility condition, and a cooldown; higher-timeframe data is requested from closed bars.

Exits use ATR-based initial stops and targets, an optional trailing stop, a maximum holding period, and an opposing-structure or score-based invalidation. The script exposes a backtest setup with specified commission, slippage, and position sizing, but the supplied text gives no strategy report or performance results. The many thresholds and correlated inputs create substantial parameter and market dependence, and the delta calculation is a price-location proxy rather than exchange-traded order-flow data. Historical testing would be needed before drawing conclusions about robustness.

Key ideas

• Long and short scores aggregate structure, higher-timeframe bias, ALMA votes, kinetic estimates, regression, volume pressure, and moving-average alignment.
• Signals require confirmed bars, a minimum score, directional delta, sufficient relative volume, and a cooldown.
• ATR-based stops and targets can be supplemented by a trailing stop, a time exit, and directional invalidation.
• The script uses prior closed higher-timeframe values to reduce lookahead risk.
• The document describes a configurable strategy but supplies no evidence of profitable or robust performance.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.