Multi-Timeframe Trend Filtering with Ichimoku, SuperTrend, WaveTrend, and Money Flow
Summary
This trend-following approach combines Ichimoku cloud position, moving averages, SuperTrend, WaveTrend, and money flow across multiple timeframes. A long requires price and the moving average to be above the cloud, SuperTrend to indicate an uptrend, WaveTrend to rise without reaching overbought territory, and money flow to be positive. Short conditions reverse those alignments. SuperTrend also serves as the stated stop reference.
The document argues that requiring several indicators to agree may reduce trading during range-bound conditions and help align entries with broader trends. However, it presents no backtest settings, performance figures, or empirical evidence for these claims. Strict filters can reduce the number of trades or delay entries, and the fixed parameters and simple stop rule may not respond well to regime changes or sharp reversals. Suggested research includes adapting settings to volatility, assessing extreme conditions, and testing alternative stop methods. The available parameter excerpt is incomplete, so it does not fully specify how the strategy is configured or how its timeframes interact.
Key ideas
- Long entries require bullish alignment across cloud position, SuperTrend, WaveTrend, and money flow; shorts use the reverse alignment.
- The strategy combines signals from multiple timeframes to filter short-term noise against a broader trend.
- SuperTrend is used as the stop reference, though the document describes this as a relatively simple risk control.
- Strict agreement may reduce activity in ranges but can also delay entries or exclude opportunities.
- No performance results are provided, and the parameter excerpt does not fully specify the implementation.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.