Stiffness Indicator Breakout Strategy with Threshold Signals

Summary

This document describes a breakout approach that measures how often closing prices exceed a moving-average-based boundary. It counts closes above a boundary derived from an n-period simple moving average and a standard-deviation buffer over a separate lookback, scales the count, and smooths it with an EMA. Crossing a threshold upward signals a long entry; dropping below it signals a short entry or weakening breakout, with exits tied to subsequent changes in the indicator and price action.

The document provides indicator logic, suggested parameter settings, and a short BTC/USDT futures backtest window, but reports no performance results. It identifies false breakouts, uncertain pullback depth, parameter sensitivity, and costs from frequent trades as limitations. Suggested refinements include testing parameters across markets, adding ATR-based stops, using other indicators for confirmation, and improving exit rules. The described signals are a framework rather than evidence that the strategy is profitable or reliably predicts breakouts.

Key ideas

• The indicator estimates breakout persistence by measuring the share of recent closes above a moving-average-derived boundary.
• An EMA smooths the measure before it is compared with a threshold.
• An upward threshold cross signals a long entry, while a downward cross can trigger short positioning or an exit.
• False breakouts, slippage, and frequent trading can weaken results.
• The document gives backtest settings but does not report performance statistics.

Tags

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