Multi-Indicator EMA Crossover Strategy with ATR Risk Controls

Summary

This daily trend-following system combines a fast and slow exponential moving average crossover with MACD direction, RSI ranges, price position relative to the fast average, and volume above its recent average. Long and short setups require these conditions to align, aiming to filter signals through several momentum and activity checks. Bollinger Bands are described as a way to monitor volatility, while ATR is proposed for dynamic stops and targets.

The document includes a Bitcoin versus USDT futures backtest configuration spanning a stated period, but reports no performance results. Its source code instead uses fixed loss and profit distances, so the ATR-based risk control and stated profit-to-loss framing are not fully reflected in the implementation shown. Risks include delayed signals, false crossovers in ranges, fixed RSI thresholds, low-liquidity volume effects, and stops being triggered in volatile conditions. Historical testing and market-specific parameter adjustment are recommended.

Key ideas

• Long and short entries require EMA crossover, MACD alignment, an RSI range, price confirmation, and above-average volume.
• Bollinger Bands are included for volatility context, while ATR-based exits are discussed as a risk-control approach.
• The published source uses fixed exit distances, unlike the ATR-based exits described in the overview.
• Backtest settings are supplied, but no performance metrics are reported; ranging markets and parameter choices remain concerns.

Tags

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