ALMA and EMA Trend Strategy with Stochastic RSI Filters

Summary

This strategy combines a smoothed Arnaud Legoux moving average (ALMA), fast and slow exponential moving averages, and Stochastic RSI. The prose presents ALMA as a trend guide and the EMA crossover as the signal, with Stochastic RSI intended to filter entries in extreme conditions. The source sets an ALMA period of 130, a slow EMA of 49, a fast EMA of 9, and Stochastic RSI thresholds for cancelling pending entries or closing positions. It also specifies percentage-based take-profit and stop-loss exits.

The document lists a BTC/USDT futures backtest window covering roughly a year, but provides no reported returns, drawdown, or benchmark. Its narrative and source do not align perfectly: actual entry conditions combine EMA crosses with prior closes relative to ALMA, and the ALMA is not a separate add-on trigger as the summary suggests. The stated thresholds and moving-average settings are examples, not evidence of robustness. Whipsaws, parameter sensitivity, and execution assumptions remain material limitations.

Key ideas

• ALMA smooths price data and is used alongside fast and slow EMAs to frame trend conditions.
• EMA crossovers form the entry basis, with prior closes relative to ALMA also required in the source logic.
• Stochastic RSI conditions can cancel entries or close positions at extreme readings.
• The strategy includes percentage-based profit targets and stop losses, but the document reports no performance metrics.
• The descriptive overview differs in places from the supplied implementation, so its exact rules should be checked carefully.

Tags

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