trend_classifier
Unverified Trend strategy on Multi by izikeros. BotFinder score 18 out of 100.
Library for automated signal segmentation, trend classification and analysis.
Source: github
BotFinder analysis pending.
trend_classifier
trendclassifier Automated signal segmentation, trend classification and analysis. Documentation | Tutorials | API Reference Quick Start Installation With optional dependencies: Features - Multiple detection algorithms: - slidingwindow - Original algorithm, interpretable, good for most cases - bottomup - Merge-based, control exact segment count - pelt - Optimal segmentation via ruptures library - Rich segment information: slope, offset, volatility, trend consistency - DataFrame export: seg.segments.todataframe() - Visualization: plotsegments(), plotsegment() - Configurable: Fine-tune sensitivity with alpha, beta, window size Example with Stock Data Using Different Detectors Segment Properties Each segment contains: | Property | Description | |----------|-------------| | start, stop | Index range | | slope | Trend direction and steepness | | std | Volatility (after detrending) | | reasonfornewsegment | Why segment boundary was placed | Documentation Full documentation with tutorials and API reference: https://izikeros.github.io/trendclassifier/ License MIT © Krystian Safjan
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