Percentage Threshold Breakouts Relative to the Previous Close

Summary

This strategy compares the selected timeframe’s high and low with the previous close adjusted by a user-set percentage. A high above the upper threshold triggers a long entry and closes any short position; a low below the lower threshold triggers a short entry and closes any long position. The document describes the approach as configurable across several timeframes and markets. Its published settings show BTC/USDT futures data over daily bars with hourly base data, and a default threshold of 1.04 percent.

The method is simple, but the document does not report backtest performance despite describing chart signals and an equity curve. It identifies frequent trading costs and slippage during volatile markets, poor parameter choices, and overfitting as risks. It suggests adding stop-loss and take-profit rules, adjusting the threshold to volatility, or combining the signals with other indicators. These are proposed refinements, not tested findings; the document gives no evidence that they improve results.

Key ideas

• The strategy compares timeframe highs and lows with percentage bands around the previous close.
• A breach of the upper band opens long and closes short exposure; a lower breach does the reverse.
• The method’s threshold and timeframe are configurable.
• Frequent signals can increase trading costs and slippage.
• No measured results are reported, and parameter overfitting is identified as a risk.

Tags

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