SwingTrend
Unverified ML strategy on Indices by BennyThadikaran. BotFinder score 18 out of 100.
A mechanical approach to determine the trend of a stock along with breakout and reversal levels.
Source: github
BotFinder analysis pending.
SwingTrend
SwingTrend SwingTrend provides a mechanical approach to determine the stock trend, with breakout and reversal levels. Python version: >= 3.8 - Can track trends on historical as well as real-time OHLC data. - Use it as a trend indicator or screener. - Lightweight and serializable. The Class state can be saved/restored. Useful for day-to-day tracking of trends. - Timeframe agnostic - pass data from any timeframe to establish the current trend. - Linux, Windows, and Mac. No external dependencies. 90% test coverage of core functionality. If you ❤️ my work so far, please 🌟 this repo. 👽 Documentation https://bennythadikaran.github.io/SwingTrend Installation pip install swingtrend Basic Usage (As of v2.0.1) See the documentation for more details. Inspiration This work was inspired by youtube channel Matt Donlevey - Photon Trading. You can watch their video How To Understand Market Structure to understand some of the concepts. How the class works See simple explanation of how the program works To use the Photon method as explained in the video, instantiate the class as Swing(retracethreshold
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How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)