TranslatedAKShare is an elegant and simple financial data interface library for Python, built for human beings! Open-source financial data interface library
- futures
- financial-data
- data-science
- quant
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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.
- quantitative-finance
- quant
- python
- fintech
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
- a-share
- ai-agent
- ai-skill
- china-stocks
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
- trading-strategies
- quantitative-trading
- trading-bot
- quantitative-finance
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
- backtesting
- trading
- algorithmic-trading
- trading-strategies
High-performance TensorFlow library for quantitative finance.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
- machine-learning
- trading
- investing
- research
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
- stocks
- stock-market
- finance
- python
Statistical and Algorithmic Investing Strategies for Everyone
- machine-learning
- algorithmic-trading
- investment-portfolio
- portfolio-optimization
The Open Source Trading Ecosystem for Everyone.
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
- asset-allocation
- portfolio
- portfolio-optimization
- quantitative-finance
Details on how to get Binance public data
- binance
- historical-data
- market-data
- public
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
- robinhood-api
- robinhood-python
- trading
- quantitative-finance
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
- python
- trading
- options
- options-trading
A program for financial portfolio management, analysis and optimisation.
- portfolio-management
- portfolio-optimisation
- optimisation
- finance
Open Source Pricing & Packaging Infrastructure
- pricing
- python
- typescript
- analytics
Real time stock and option data.
- finance
- stock-data
- greeks
- options
A library for financial options pricing written in Python.
- options
- derivatives
- derivatives-pricing
- finance
Portfolio optimization with deep learning.
- deep-learning
- portfolio-optimization
- finance
- machine-learning
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
QuantJourney Backtester
- backtester
- backtester-python
- backtesting
- strategies
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
- cryptocurrency
- exchange
- trade
- data