MACD, EMA, and Williams %R Rules for Intraday Trend Trading

Summary

This short-term strategy combines an EMA trend filter, MACD momentum, and smoothed Williams %R. It enters long when price is above the EMA, the MACD histogram is positive, and the fast Williams %R average exceeds the slow average. The short rules reverse those comparisons. Exit conditions use opposing momentum and Williams signals, with additional thresholds for the oscillator. The published parameter set includes a 200-period EMA, standard MACD lengths, and separate Williams smoothing lengths.

The document describes BTC/USDT futures backtest settings on an hourly chart over a one-month period, but reports no performance results, so it provides no evidence that the rules were profitable. The source also includes daily ATR calculations and a VIX-named entry threshold that do not appear to affect its entry or exit conditions; the stated trading window is likewise not applied. Frequent trading can raise costs, indicator combinations require parameter choices, and reversal signals may arrive late. The source suggests stop losses and further testing, but does not establish that optimization or machine learning improves results.

Key ideas

• Long and short entries require price relative to an EMA, MACD histogram direction, and agreement between fast and slow Williams %R averages.
• Exit rules look for opposing MACD and Williams %R conditions, with additional oscillator thresholds.
• The source calculates daily ATR and a VIX-named threshold, but these values are not used in its trading rules.
• The listed BTC/USDT futures test window is one month, and no performance results are reported.
• Frequent trading, parameter sensitivity, and missed trend reversals are stated risks.

Tags

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