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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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An open-source toolkit for quantitative analysis of crypto & stock markets, featuring an advanced market screener, portfolio backtester, and companion tools for the Gunbot trading bot.
🤖 Self-hosted AI trading signals - 5 swappable strategy presets (Classic, HMM, regime-aware, VWAP+EMA+BB, Full-Risk Pipline), multi-preset backtest comparison, paper trading, Telegram bot. BTC, ETH, Gold, Forex. Free forever.
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Julia Incremental Technical Analysis Indicators (inspired by talipp)
This repository contains the source code and content for the website algotradinglib.com, focused on algorithmic trading and financial market analysis.
AI-powered trading research platform. Test any idea on stocks, futures, and crypto with event studies, backtesting, and statistical validation. MCP server with 8 tools. pip install varrd.
RL stock selection for China A-share — bundled polars-native factor library (105 Alpha101 + 191 GTJA Alpha191 = 296 factors), board-aware price limits, GPU train + ONNX CPU infer, MIT-licensed.
Market-making strategy that placed #2 in Paradigm's Prediction Market Challenge. 110 iterations, 8 hours.
Example strategies for the QTradeX platfrom
Zipline Extensions for QuantRocket
Fast, Transparent Backtesting
Trading terminal for macOS. Scans 3 370 symbols across 12 timeframes to surface what's moving together. Tauri + Python + React. Open source, runs on your machine.
Official MCP server for Horus Flow Intelligence: Institutional-grade market microstructure and orderflow physics for AI trading agents.