ZLEMA-Based MACD Entries with EMA Trend and RSI Filters

Summary

This short-term rule set uses a zero-lag exponential moving average as the input for MACD, then filters crossovers with a 100-period EMA and RSI. Long entries require price above the EMA, an upward MACD crossover, and RSI above its midpoint; short entries reverse those directional tests. The write-up describes additional checks for histogram movement and near-parallel MACD lines, plus exits based on opposing crossovers, histogram behavior, or RSI extremes.

The document describes fixed percentage profit and stop levels and visual trade annotations, but the supplied source calculates entry-based target and stop prices without submitting orders tied to them. Its actual exits use indicator conditions. No performance results are included, despite published daily ETH/USDT futures backtest dates. The strategy may generate noisy signals in ranges, and its fixed settings may not fit changing volatility. The text recommends testing across market conditions and treats adaptive filters, multi-timeframe checks, and dynamic sizing as possible extensions rather than demonstrated improvements.

Key ideas

• ZLEMA values are used to calculate MACD in place of raw closing prices.
• EMA and RSI filters constrain long and short crossover entries to directional conditions.
• Indicator reversals provide the described exit logic, while the source does not execute its calculated fixed target and stop prices.
• The document gives a backtest period and instrument but no performance results.
• Range-bound markets and fixed parameters are identified as limitations.

Tags

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