KDE
Unverified Other strategy on Multi by holypolyfoundation. BotFinder score 18 out of 100.
KDE for polymarket
Source: github
BotFinder analysis pending.
KDE
BTC 15-Min Microstructure KDE Pipeline Real-time microstructure analysis of Polymarket BTC 15-minute prediction markets. Records L2 order book data via WebSocket, computes rolling statistical features in Rust, and visualizes their distributions as dark-themed KDE plots segmented by time phase. Architecture Rust core (src/lib.rs) — PyO3 native module: - Connects to Polymarket CLOB WebSocket, maintains a live L2 order book - Computes 6 rolling features over a 500-tick window per book update - Writes feature snapshots to Parquet (throttled to 1 per 200ms) Python orchestrator (main.py): - Discovers the next active BTC 15-min market via Gamma API - Waits for the 15-minute clock boundary, then triggers Rust recording - Segments data into 3 time phases and generates KDE plots Features Computed | Feature | Description | |---|---| | Tick Intensity | Order book updates per second (activity proxy) | | Sample Entropy | Predictability of mid-price returns (m=2, r=0.2σ) | | Permutation Entropy | Ordinal pattern complexity of raw prices (order=3, delay=5) | | Contract Price Entropy | Shannon entrop
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How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)