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.
See when you actually use electricity. Your file never leaves your computer.
FinancePython · JavaScriptGitHub @CameronGordonnOnlineOwner unconfirmed
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Independent decision engine for California electricity customers: reproduces real utility bills within $2 from your own Green Button interval data, then answers rate-switch and NEM 3.0 solar/battery questions with stated uncertainty.
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
Independent home-energy decision engine for California IOU customers. You bring your
own Green Button interval data; the engine answers, in numbers you can check against
your actual bills, which rate schedule is cheapest and whether solar/battery pays back
under NEM 3.0. See CLAUDE.md for the design invariants and
ROADMAP.md for milestones.
▶ Try it with your own data → — drop in
your PG&E or SDG&E Green Button export and see when you actually use electricity. The real
Python parsers run in your browser via WebAssembly, so the file never leaves your computer.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Independent home-energy decision engine for California IOU customers. You bring your
own Green Button interval data; the engine answers, in numbers you can check against
your actual bills, which rate schedule is cheapest and whether solar/battery pays back
under NEM 3.0. See CLAUDE.md for the design invariants and
ROADMAP.md for milestones.
▶ Try it with your own data → — drop in
your PG&E or SDG&E Green Button export and see when you actually use electricity. The real
Python parsers run in your browser via WebAssembly, so the file never leaves your computer.Read the full README ↗