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.
Quantitative analytics for physical energy traders
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FinancePython · HTMLGitHub @GudbjergOnlineOwner unconfirmed
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Five-layer quantitative analytics platform for European gas and power markets. Covers cointegration scanning, forward curve PCA (TTF M+1 to M+18), Nordic price decomposition, ML regime detection (LSTM/HMM/FinBERT), VaR simulation, and BESS project finance. 31 modules, 9 live data sources.
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
title: European Gas and Power Market Intelligence Platform
short_description: Quantitative analytics for physical energy traders
emoji: ⚡
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: "1.56.0"
app_file: app.py
pinned: false
European Gas and Power Market Intelligence Platform
A five-layer quantitative analytics platform built to mirror the analytical workflow of a European physical energy trader.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
title: European Gas and Power Market Intelligence Platform
short_description: Quantitative analytics for physical energy traders
emoji: ⚡
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: "1.56.0"
app_file: app.py
pinned: false
European Gas and Power Market Intelligence Platform
A five-layer quantitative analytics platform built to mirror the analytical workflow of a European physical energy trader.Read the full README ↗