Hull Moving Average Crossovers with Ichimoku, MACD, and Risk Filters
Summary
This strategy combines a fast and slow Hull-style moving average comparison with Ichimoku cloud, MACD, and a cross-timeframe price filter. Long entries require the faster line to lead, price to be above the slower line, the cloud to be bullish, MACD to exceed its signal line, and the confidence measure to clear a threshold. Short entries use the corresponding bearish conditions. The description also specifies exits when trend conditions reverse or open profit crosses fixed dollar limits.
The document explains the intended role of decision thresholds and a confidence filter, and identifies delayed responses, false signals, and poorly chosen stop or target levels as risks. It suggests adaptive averages, dynamic exits, and machine learning as possible extensions. It gives parameter defaults and a short BTC/USDT futures backtest window, but reports no performance statistics. The source and prose are not fully aligned: the code defines several indicators and filters, while its confidence measure compares 5-minute and 60-minute closes and the fixed profit checks are not conventional protective stop orders.
Key ideas
- The strategy uses a Hull-style fast and slow moving average relationship to define trend direction.
- Long and short entries also depend on Ichimoku cloud, MACD, price location, and a cross-timeframe confidence threshold.
- Positions close on bearish or bullish reversal conditions or when open profit crosses the stated dollar limits.
- The document flags sideways markets, lag, and parameter choice as sources of error.
- The published backtest settings contain no reported results, so they do not establish profitability.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.