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.
The S&P 500 scored across seven categories of public data, with the confidence interval next to every backtested figure. Self-hosted, zero-cost, and not financial advice.
FinancePython · TypeScriptGitHub @MarlenMMOnlineOwner unconfirmed
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Equity research and portfolio-construction engine: 8-source ingest into a 23-table schema, 7-category composite scoring, walk-forward backtesting with bootstrap confidence intervals, and three portfolio optimisers (MPT / HRP / Black-Litterman).
Taken from the repository README
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A self-hosted, $0-cost stock research & portfolio-management engine. Statistics and ML do the ranking/forecasting; a free-tier LLM only narrates results that already exist.
Live demo: — the research front end, no sign-up and no keys, and it holds its shape on a phone. Its Portfolio page keeps your holdings in your own browser — nothing is sent anywhere; the full Portfolio Manager, with the optimisers, rebalancing and history, is the Streamlit app.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
A self-hosted, $0-cost stock research & portfolio-management engine. Statistics and ML do the ranking/forecasting; a free-tier LLM only narrates results that already exist.
Live demo: — the research front end, no sign-up and no keys, and it holds its shape on a phone. Its Portfolio page keeps your holdings in your own browser — nothing is sent anywhere; the full Portfolio Manager, with the optimisers, rebalancing and history, is the Streamlit app.Read the full README ↗