Pair-Specific Volatility Signatures for Adaptive Multi-Pair Stop Losses

Summary

The article presents a multi-symbol Expert Advisor that estimates a separate volatility signature for each instrument and uses it to adjust stop-loss distance. It collects historical hourly bars and derives features such as candle ranges, wick sizes, return dispersion, and gap frequency. A classification stage summarizes volatility, noise, trend behavior, and momentum; five signature-based factors then adjust a base ATR multiplier within configured bounds. Position size is inversely related to stop distance to target a fixed account risk per trade.

The entry logic is a separate MACD crossover filtered by an EMA trend condition, so the adaptive risk layer can be reused with other signals. The document describes a backtest over a roughly two-month window, but the supplied text contains no readable performance results, so it does not establish that the approach improves returns. Its signatures depend on the selected history, features, thresholds, and instruments, and the example's risk controls do not eliminate execution or model risk.

Key ideas

• The EA builds a separate volatility profile for each symbol from historical candle and return features.
• A classification engine uses noise, pullback, trend, spread, and dispersion factors to adapt an ATR stop multiplier.
• Position sizing adjusts inversely to stop distance to keep intended monetary risk consistent.
• MACD crossover entries and an EMA trend filter are decoupled from the stop and sizing modules.
• The described backtest results are not visible in the provided text, so performance claims cannot be assessed.

Tags

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