Percent-Change Threshold Strategy with Histogram Signals

Summary

This document describes a threshold strategy built around the change in closing price from a selected number of bars earlier. The change can be displayed as a raw price difference or a percentage, and a histogram colors bars to show direction. When the calculated value rises above a buy threshold, the strategy takes a long position; when it falls below a sell threshold, it takes a short position. A reverse-trading option swaps those directions, while the position state is retained between thresholds.

The example parameters include a one-bar lookback and symmetric thresholds, and the published test uses daily BTC/USDT futures data over roughly a year. The document gives no numerical backtest results, so it does not establish profitability or robustness. It notes that threshold signals can be false, parameter choices may need adjustment for volatile markets, and sudden events are not accounted for. It suggests additional signal filters, stop losses, session rules, and longer validation, but does not implement or test those changes in the described method.

Key ideas

• The signal measures closing-price change over a configurable lookback.
• Buy and sell thresholds determine when the strategy adopts long or short exposure.
• The histogram displays the change and colors bars according to direction or position.
• A reverse option swaps the direction associated with each threshold signal.
• The document provides no numerical performance results and cautions that signals may be false.

Tags

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