Python toolkit for quantitative finance
- gs-quant
- goldman-sachs
- risk-management
- trading-strategies
47,133 repositories indexed
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Python toolkit for quantitative finance
The most complete open-source, self-hosted Agentic Trading OS—AI research, Python strategies, factor discovery, backtesting, optimization, paper/live multi-asset execution, risk controls, monitoring, MCP, and multi-tenant SaaS in one auditable stack.
TranslatedA-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources. Full-stack A-share data toolkit: market quotes and K-lines · same-day tick-by-tick trades · research reports · signals · capital flow · news · financials · announcements · limit-up board trading (打板) · ETF options · public sentiment · macro and interest rates · futures and block trades (including Dalian Commodity Exchange daily K-lines) · event-driven · convertible bonds | No API key needed except for iwencai
TranslatedQUANTAXIS: a purely local quantitative solution for stocks/futures/options that supports task scheduling and distributed deployment, covering data/backtesting/simulation/trading/visualization/multiple accounts
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
ValueCell is a community-driven, multi-agent platform for financial applications.
Polar — A billing platform for the intelligence era
Bindu: The identity, communication, and payments layer for AI agents.
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
TranslatedAutomatic A-share stock selection system — automatically scans for multiple technical patterns, runs automatically after market close, and pushes results to Feishu
TranslatedTSP: a self-hosted, zero-maintenance quantitative workbench for A-shares covering "custom strategies + monitoring + backtesting" | LLM capabilities drive strategy customization + individual stock analysis + post-trade review | Freely connect third-party data sources and personalized extended data | Personal open-source project
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Portfolio and risk analytics in Python
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
Beancount: Double-Entry Accounting from Text Files.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
High-performance TensorFlow library for quantitative finance.
Performance analysis of predictive (alpha) stock factors
modular quant framework.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
DojoAgents: Full-Market AI Copilot for Personal Investment
TranslatedVibe-Research: A research workbench for China A-shares, US and HK stocks · watchlist and holdings, daily review, industry news, industry research, in-depth stock analysis, backtesting, research report library, 168 data endpoints. Supports Claude Code, Codex, WorkBuddy subscriptions or any model API.