Multi-Timeframe Trend Filters with Channel Entries and Fibonacci Exits

Summary

This strategy combines higher-timeframe direction filters with lower-timeframe channel signals. Weekly and daily conditions establish a preferred trading direction, while a four-hour channel and its turning points generate potential entries. Trades are taken only when the channel signal agrees with the higher-timeframe bias. Fibonacci retracement levels are proposed for setting profit targets and stop losses.

The document explains the intended filtering logic and lists configurable long and short trading, an SMA option, order offsets, contract size, and pivot timeframe. It does not provide interpretable performance results: the published backtest covers a short BTC/USDT futures sample, and no return, risk, or trade statistics are included. The source excerpt is incomplete, so the full channel and exit calculations cannot be assessed from the material shown. The note also flags complexity across timeframes, sensitivity to parameter choices, missed trades, and exposure to sudden news moves. It suggests testing alternative channels, exit methods, and event monitoring.

Key ideas

• Weekly and daily conditions set the preferred direction for trades.
• A four-hour channel supplies entry signals through its direction and turning points.
• The strategy requires agreement between the higher-timeframe bias and the channel signal.
• Fibonacci retracement levels are proposed for profit targets and stop losses.
• The published short backtest provides no performance statistics, and the source excerpt is incomplete.

Tags

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