Oracle3
Open-source trading engine and MCP server for prediction markets. Fee-aware no-arbitrage trading across related contracts, live on Kalshi, Polymarket and Solana or on paper.
Case study: a 27-factor options screener in Python with Black-Scholes pricing, IV cross-validation, walk-forward calibration, and a model guard that publishes its own negative results.
FinancePython · ShellGitHub @Ollie1o1OnlineOwner unconfirmed
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A Python-based options screening tool that identifies high-probability trading opportunities through advanced analytics, institutional-level metrics, and dynamic safety filters. Includes an AI-powered scoring layer that enriches top candidates with qualitative analysis and produces a final weighted ranked list.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
A Python-based options screening tool that identifies high-probability trading opportunities through advanced analytics, institutional-level metrics, and dynamic safety filters. Includes an AI-powered scoring layer that enriches top candidates with qualitative analysis and produces a final weighted ranked list.Read the full README ↗