ALMA-ATR Trend Strategy with Momentum and Volatility Filters
Summary
This strategy uses ALMA as its main trend measure and combines it with EMA levels, RSI, ADX, Bollinger Bands, and ATR. The described long setup requires price above EMA50 and ALMA9, RSI above 30, ADX above 30, price below the Bollinger upper band, and a cooldown condition. Exits may follow a break below a fast EMA, ATR-based stop or target levels, or a time limit. An ATR trailing-stop system is also included.
The document presents the design rationale and discusses possible safeguards, including volatility filtering and cooldowns. It offers no measured backtest results, and the supplied material is incomplete, so exact entry and exit behavior cannot be fully verified. The author identifies risks from parameter overfitting, whipsaws, delayed reversal response, and stop-outs followed by trend resumption. Suggestions include out-of-sample evaluation, market-state filters, higher-timeframe confirmation, and drawdown-based position controls.
Key ideas
- ALMA, EMA, RSI, and ADX jointly define trend and momentum conditions for entries.
- ATR is used for volatility filtering, adaptive exits, and a trailing stop.
- Bollinger Bands and cooldown requirements further constrain entry timing.
- The document reports no backtest performance, and the supplied strategy details are incomplete.
- Parameter overfitting, whipsaws, and delayed responses remain material risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.