Combining EMA Trend Filters, Supertrend, and Stochastic Crossovers

Summary

This strategy combines a four-EMA trend filter, Supertrend direction, and Stochastic crossovers. Its long setup requires the shorter EMA pairs to indicate an uptrend, a bullish Supertrend state, and a %K crossover above %D; the short setup applies the corresponding bearish conditions. The stated defaults use EMA lengths of 25, 50, 100, and 200, a 10-period ATR with Supertrend factor 3, and Stochastic settings of 8, 3, and 3. The code calculates a stop from a recent price extreme associated with Stochastic movement, then sets a profit target using a configurable reward multiple.

The document argues that combining trend and momentum filters may help avoid some false signals, while warning that parameter choices, close stops, and limited data can impair results. It provides BTC/USDT futures backtest settings for a short one-minute date range, but gives no performance figures; claims of good backtest results are therefore not supported by reported evidence. The written description also refers to breakout behavior, although the actual entry rules depend on indicator alignment and crossovers.

Key ideas

• Long entries require bullish EMA alignment, bullish Supertrend direction, and a Stochastic crossover.
• Short entries require bearish EMA alignment, bearish Supertrend direction, and a downward Stochastic crossover.
• The code derives stops from recent price extremes and calculates targets using a reward multiple.
• The document warns that close stops and parameter fitting on limited data can undermine results.
• The supplied backtest settings do not include performance statistics to validate the stated claims.

Tags

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