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.
Ph.D. scientist and AI/ML consultant. 12+ years architecting and deploying production AI, ML, and generative AI for enterprise clients across many industries. Available for project and fractional enga
FinancePython · ShellGitHub @joehahnOnlineOwner unconfirmed
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An AI agent reads an unstructured news feed and curates a watchlist, while a mechanical mean-variance optimizer handles the sizing that must be auditable. Research project by JMH DataSciences.
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An AI agent reads a continuous feed of unstructured news and makes a routine judgment call a person would otherwise make by hand, while deterministic code handles everything that has to be auditable. The domain here is investing; the pattern is not. Any recurring decision that today requires a person to read the latest unstructured input and re-judge has this shape. The AI names the candidates and rules on whether a thesis still holds; it never sizes a position, because a standard mechanical optimizer does that.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
An AI agent reads a continuous feed of unstructured news and makes a routine judgment call a person would otherwise make by hand, while deterministic code handles everything that has to be auditable. The domain here is investing; the pattern is not. Any recurring decision that today requires a person to read the latest unstructured input and re-judge has this shape. The AI names the candidates and rules on whether a thesis still holds; it never sizes a position, because a standard mechanical optimizer does that.Read the full README ↗