Update oracle3 entry: renamed repository and current description (#733)

This commit is contained in:
Yicheng Yang
2026-10-19 09:42:37 -03:00
committed by GitHub
parent c8c03958cf
commit ac3513c92e
+1 -1
View File
@@ -551,7 +551,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [polymarket-whales](https://github.com/al1enjesus/polymarket-whales) - `Python` - Real-time whale trade tracker for Polymarket — terminal alerts + Telegram notifications when large orders hit the book.
- [PolyMind](https://polyminds.netlify.app/) - `Python` - Real-time Polymarket trading alerts with multi-AI analysis (Groq, Claude, Gemini). Track whale bets, volume spikes, coordinated wallets, and 12 signal types. Free tier available. [GitHub](https://github.com/samirasadov28-code/PolyMind)
- [prediction-market-maker](https://github.com/octavi42/prediction-market-maker) - `Python` - Open-source market-making strategy that placed #2 in Paradigm's prediction market challenge, with full strategy evolution and analysis.
- [Oracle3](https://github.com/YichengYang-Ethan/oracle3) - `Python` - Autonomous trading agent for Kalshi, Polymarket, and Solana — Wang Transform pricing (calibrated on 291k resolved contracts) drives eight constraint-based arbitrage strategies and Kelly-sized model trades.
- [oracle3](https://github.com/YichengYang-Ethan/oracle3-prediction-market-agent) - `Python` `MCP` - Trading engine and MCP server for prediction markets with fee-aware no-arbitrage checks across related event contracts, statistical arbitrage, and live or paper execution on Kalshi, Polymarket, and Solana.
- [marketlens](https://github.com/marketlenstrade/marketlens-python) - `Python` `MCP` - Tick-level Polymarket order book history with replay and a backtesting engine simulating queue priority, latency, and slippage.
- [polymarket-bot-lab](https://github.com/oraclemangle/polymarket-bot-lab) - `Python` - Open-sourced research lab of 11 candidate Polymarket trading bots (weather, sports, longshot fades, maker, whale-flow) with a shared CLOB/backtest framework, ADR decision log, and honest paper/live results. Companion free dataset: [polymarket-canary-tape](https://huggingface.co/datasets/oraclemangle/polymarket-canary-tape) (300M+ events, CC-BY-4.0).
- [Live Tennis API](https://livetennisapi.com) - `REST` `WebSocket` `MCP` - Real-time tennis scores, serving and break-point state, and model win probabilities for pricing tennis event markets, plus H2H, rankings and a 1968-2022 point-by-point archive; free tier. [GitHub](https://github.com/livetennisapi/livetennisapi-mcp)