Trendline Breakouts from Pivot Swings with Adaptive Slope Methods
Summary
This strategy builds upper and lower trendlines from detected swing highs and lows over a configurable lookback. It updates line slopes using one of three methods: ATR, standard deviation, or linear regression. A close crossing the projected trendline triggers a long or short entry. The backpainting setting changes how trendlines are displayed, and the document notes that disabling it shows real-time information rather than shifting displayed elements into the past.
The material provides the rules, adjustable inputs, and a BTC futures backtest configuration spanning several years, but no performance results or validation of the claimed overfitting safeguards. It flags delayed signals, false breaks during volatile or sideways markets, and sensitivity to parameter selection. Volume confirmation, volatility filters, and explicit stop and profit-taking rules are proposed as possible improvements; they are not part of the demonstrated evidence.
Key ideas
- Swing highs and lows over a lookback period anchor the upper and lower trendlines.
- ATR, standard deviation, and linear regression are alternative methods for estimating trendline slope.
- A price close across a projected line generates a directional entry signal.
- Backpainting affects the displayed timing of trendlines, so the setting matters when interpreting signals.
- The document supplies a test configuration but no performance results, and identifies false breakouts and parameter sensitivity as risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.