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47 entries shown across all categories
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Quantitative Trading Frameworks
Core backtesting engines and trading platforms. Event-driven architecture for stocks, futures, options, crypto.
zipline
Python • Event-driven
Framework
Active
⭐ 11.1K
Quantopian's open-source backtesting engine. Event-driven architecture, supports any strategy. More complex than Backtrader, more powerful for serious quant teams and factor investing research.
Python 3.6+
Enterprise Ready
Actively Maintained
vnpy
Python • Chinese Futures
Framework
Active
⭐ 10K
Industry standard for Chinese futures and options trading. Real-time risk management, market data integration with all major Chinese brokers (CFFEX, DCE, CZCE, SHFE). Professional-grade in China market.
Python
Real-time Trading
China Focus
backtrader
Python • Stocks/Futures/Options
Framework
Active
⭐ 3.8K
Most popular backtesting framework. Event-driven, supports stocks, futures, options. Easy to learn Python API, great for algo traders and systematic strategies. Active community, excellent documentation.
Python
Live Trading Support
Large Community
rqalpha
Python • China A-Shares
Framework
Active
⭐ 3.7K
RiceQuant's quantitative trading framework. Built for Chinese A-shares, futures, options. Live trading with multiple Chinese brokers. Modular architecture, easy strategy development.
Python
Live Trading
Modular Design
QUANTAXIS
Python • Multi-Asset
Framework
Active
⭐ 3.5K
Full-featured Chinese quantitative platform. Stocks, futures, options, crypto. Built-in visualization, portfolio management, risk analysis. Great for Chinese market traders.
Python
Visualization
China Focus
nautilus_trader
Rust/Python • Production Grade
Framework
Active
⭐ 2K
Production-grade Rust-native trading engine. Deterministic event-driven architecture, sub-microsecond latency. Python API for strategy development. Built for HFT and serious quants.
Rust/Python
Ultra-low Latency
Production Ready
Lumibot
Python • Broker Agnostic
Framework
Active
⭐ 1.5K
Algorithmic trading framework supporting live trading on 10+ brokers (Alpaca, Interactive Brokers, etc). Backtesting and paper trading. Easy strategy syntax, good for US equities.
Python
Multi-Broker
US Equities
Market Data & Financial APIs
Free and premium sources for historical and real-time market data. Global stocks, futures, crypto, commodities.
yfinance
Python • Yahoo Finance
Data API
Active
⭐ 13K
The most popular free data source. US and global stocks, ETFs, options, futures. No API key required. Daily data. Best for beginners and quick backtests. Limitations: no real-time, daily-only data.
Python
Zero Cost
No Auth Required
akshare
Python • Chinese Markets
Data API
Active
⭐ 7K
Complete Chinese financial data. A-shares, futures, bonds, options, crypto. Real-time + historical. Free. Single API for all Chinese asset classes. Best for Chinese market traders.
Python
Free • Comprehensive
China Focus
alpha_vantage
Python/REST • US Stocks
Data API
Active
⭐ 3.8K
Free US stock data with technical indicators built-in. Intraday + daily data. Free tier: 5 calls/min (500/day). Good for quick backtests, limited by rate limits. Better for exploration than production.
Python/REST
Free • Rate Limited
Indicators Included
pandas-datareader
Python • Multi-Source
Data API
Active
⭐ 2.8K
Unified interface to multiple data sources. Yahoo, Google, World Bank, FRED (Fed economic data), OECD. Good for multi-source data fetching. Macro investing data all in one library.
Python
Multi-Source
Macro Data
findatapy
Python • Bloomberg/Eikon
Data API
Active
⭐ 2.1K
Download market data from Bloomberg, Refinitiv Eikon, Quandl, Yahoo. Unified API for premium data sources. For professionals with Bloomberg/Eikon subscriptions.
Python
Premium Data
Unified API
AI & Machine Learning for Trading
Neural networks, LSTM, XGBoost, deep reinforcement learning for price forecasting and portfolio management.
FinRL
Python • Deep RL
AI/ML
Active
⭐ 8K
Full-stack AI trading platform with deep reinforcement learning (PPO, A2C, DDPG). Portfolio management with live brokerage execution. Production-ready for serious traders. Supports multiple markets.
Python • TensorFlow/PyTorch
Live Trading
Production Grade
Stock-Prediction-Models
Python • LSTM/XGBoost
AI/ML
Active
⭐ 7K
Comprehensive ML/DL models for stock price forecasting. LSTM, GRU, XGBoost, ensemble methods. Good educational resource. Realistic caveats on prediction accuracy included in documentation.
Python • Keras/Sklearn
Ensemble Methods
Educational
stock-prediction-deep-neural-learning
Python • TensorFlow
AI/ML
Active
⭐ 2.2K
LSTM neural networks for time series stock price forecasting. TensorFlow implementation. Good for learning LSTM applied to finance. Research-focused, not production-ready.
Python • TensorFlow
LSTM Focus
Learning Resource
Deep-Reinforcement-Learning-for-Stock-Trading
Python • RL Ensemble
AI/ML
Active
⭐ 1.8K
Ensemble DRL strategy combining PPO, A2C, DDPG. ICAIF 2020 paper implementation. Shows how to combine multiple RL agents for robustness. Academic but implementable.
Python • PyTorch
Ensemble RL
Research Paper
stock-rnn
Python • RNN
AI/ML
Active
⭐ 1.2K
RNN with multilayer LSTM cells and optional multi-stock embeddings. Useful for understanding RNN architectures in finance. Good educational code.
Python • TensorFlow
RNN Focus
Educational
Factor Investing & Multi-Factor Models
Value, momentum, quality, profitability, investment factors. Fama-French models and custom factor portfolios.
awesome-quant
Curated List
Factor Research
Active
⭐ 12K
Comprehensive curated list of quantitative finance libraries and resources. The de facto awesome list for quant professionals. 500+ entries across all categories.
Curated List
Community Maintained
500+ Resources
awesome-systematic-trading
Curated List
Factor Research
Active
⭐ 3K
Curated systematic trading resources in 13 languages. Covers frameworks, libraries, research, education. Bilingual content for global traders.
Multilingual
Comprehensive
Trading Focus
py_vollib
Python • Volatility
Options Analysis
Active
⭐ 1.3K
Implied volatility and Greeks calculation. Fast vectorized operations. Good for options portfolio analysis and factor exposure measurement.
Python
Vectorized
Fast Computation
awesome-quant-ai
Curated List
AI Research
Active
⭐ 1K
AI/ML resources specifically for quantitative investment. Covers deep learning, NLP for finance, reinforcement learning in trading.
AI Focus
Curated
Investment ML
FamaFrench
Python • Factor Model
Factor Model
Active
⭐ 400
5-factor Fama-French model implementation. Value, size, profitability, investment, momentum factors. Academic implementation for research.
Python
Fama-French
Academic
Cryptocurrency Trading & DeFi
Crypto exchange APIs, trading bots, yield farming, arbitrage on 100+ exchanges.
CCXT
Python/JS • Multi-Exchange
Crypto API
Active
⭐ 30K
Unified API for 100+ cryptocurrency exchanges (Binance, Kraken, Coinbase, Kraken, etc). Python and JavaScript. Essential for crypto trading automation and arbitrage.
Python/JavaScript
100+ Exchanges
Production Ready
freqtrade
Python • Trading Bot
Crypto Bot
Active
⭐ 26K
Leading open-source cryptocurrency algorithmic trading bot. Backtesting, paper trading, live trading. Hundreds of strategies shared by community. Most active crypto bot project.
Python
Live Trading
Community Strategies
binance-trade-bot
Python • Binance
Crypto Bot
Active
⭐ 9K
Automated cryptocurrency trading bot for Binance. Simple configuration, good for DCA and grid trading. Actively maintained, large community using it.
Python
Binance Focus
Beginner Friendly
awesome-ccxt
Curated List
Crypto Resources
Active
⭐ 800
Curated CCXT resources and asset lists. Bots using CCXT, trading libraries, documentation.
Curated
CCXT Ecosystem
Crypto Focus
Portfolio Management & Optimization
Portfolio construction, risk management, rebalancing, position sizing strategies.
FinanceToolkit
Python • Comprehensive
Portfolio
Active
⭐ 4K
Transparent financial analysis toolkit. 60+ country economic indicators, valuation metrics, financial statements, portfolio analysis. Comprehensive single source.
Python
60+ Indicators
Global Data
wealthfolio
TypeScript • Portfolio Tracker
Portfolio Tracking
Active
⭐ 2.5K
Beautiful, private, local-first portfolio tracker. Monte Carlo simulations, asset allocation tracking. Privacy-focused, works entirely offline.
TypeScript/React
Privacy Focused
Simulations
FundamentalAnalysis
Python • Valuation
Fundamental
Active
⭐ 1.8K
20 years of financial data for 20,000+ companies. P/E ratios, growth rates, intrinsic valuation. Good for value investing research.
Python
20K Companies
Historical Data
net-worth-tracker
Next.js • Dashboard
Portfolio Tracking
Active
⭐ 1.2K
Modern portfolio tracker with FIRE calculator and expense tracking. Beautiful Next.js UI, responsive design. Good for personal wealth tracking.
Next.js/React
FIRE Friendly
Modern UI
PortfolioAnalytics (R)
R • Advanced Optimization
Optimization
Active
⭐ 800
R package for portfolio optimization with multiple constraint types. Industry standard in institutional investing. More powerful than Python alternatives for complex constraints.
R
Institutional Grade
Advanced Constraints
Technical Analysis & Indicators
130+ technical indicators, charting libraries, pattern recognition tools.
lightweight-charts
TypeScript • TradingView
Charting
Active
⭐ 22K
TradingView's open-source charting library. Beautiful, performant candlestick and technical analysis charts. 70+ built-in indicators. Professional-grade charting for web.
TypeScript
70+ Indicators
Professional Grade
ta-lib (TA-Lib Python)
Python • 150+ Indicators
Indicators
Active
⭐ 8K
Python wrapper for TA-Lib C library. 150+ technical indicators (ADX, MACD, RSI, Stochastic, etc). Gold standard for technical analysis. Fast C-based computation.
Python/C
150+ Indicators
Industry Standard
pandas-ta
Python • 130+ Indicators
Indicators
Active
⭐ 4.5K
130+ technical analysis indicators as Pandas extension (SMA, RSI, MACD, Bollinger Bands). Pure Python, no C dependencies. Easy integration with backtraders.
Python
130+ Indicators
Pandas Extension
Stock.Indicators
C# • .NET Library
Indicators
Active
⭐ 2.5K
C# library with 100+ technical indicators. For .NET developers building trading systems. Good performance in Windows/.NET environments.
C# / .NET
100+ Indicators
.NET Focus
Norn-StockScreener
Python • Advanced Screener
Screener
Active
⭐ 1.5K
Powerful stock screener with 80+ filters. Earnings manipulation detection, ESG filtering, options valuation, insider trading signals. Best-in-class for comprehensive screening.
Python
80+ Filters
Manipulation Detection
Event-Driven & Arbitrage Strategies
Earnings surprises, news sentiment, statistical arbitrage, pair trading, mean reversion.
statarb
Python • Statistical Arbitrage
Arbitrage
Active
⭐ 3K
Production-grade statistical arbitrage with 20+ alpha strategies and PCA. Pair trading, mean reversion models. Ready for deployment.
Python
20+ Strategies
Production Ready
TradingView-Webhook-Bot
Python • Event Alerts
Alerts
Active
⭐ 3K
Send TradingView alerts to Telegram, Discord, Slack, Twitter, Email. Essential for event-driven trading automation. Webhooks integration.
Python
Multi-Platform
Webhook API
earnings-sentiment
Python • NLP
Sentiment
Active
⭐ 600
NLP pipeline for earnings call sentiment analysis using FinBERT and Loughran-McDonald dictionary. PEAD (Post-Earnings Announcement Drift) signals.
Python • NLP
FinBERT
Earnings Focus
Statistical-Arbitrage-Momentum-Strategies
Python • Pair Trading
Arbitrage
Active
⭐ 400
Statistical arbitrage, momentum, and mean-reversion strategies. Cointegration testing, spread trading implementation.
Python
Cointegration
Mean Reversion
Macro Investing & Economic Indicators
Federal Reserve data, economic indicators, recession signals, policy tracking.
pandas-datareader (FRED)
Python • Fed Data
Macro Data
Active
⭐ 2.8K
Access Federal Reserve economic data via pandas-datareader. GDP, unemployment, CPI, interest rates, inflation. Official Fed source, free API.
Python
Official Fed Data
Free API
MacroDashboard
Python • Dashboard
Dashboard
Active
⭐ 800
Self-hosted real-time macroeconomic dashboard. Fed expectations, employment data, CPI, PMI. Visual tracking of macro cycles.
Python
Real-time
Dashboard
financial-risk-analyzer
Python • Risk Metrics
Risk Analysis
Active
⭐ 400
VaR calculations, Altman Z-Score bankruptcy prediction, historical crisis stress testing. Comprehensive financial risk toolkit.
Python
VaR & Stress Testing
Risk Metrics
macro-analyst
Python • Economic Charts
Macro Data
Active
⭐ 300
Chart country-specific economic indicators (GDP, PMI, M2, trade). Fetch from original sources. Good for macro research.
Python
Multi-Country
Original Sources
Learning Resources & Awesome Lists
Curated resources, books, papers, courses for quantitative trading education.
Quantitative Trading Books
Essential Reading
Updated
Top 5 books for quant traders:
1. "Advances in Financial Machine Learning" (López de Prado) — ML for trading
2. "Machine Learning for Factor Investing" (Cederburg) — Factor models
3. "The Intelligent Investor" (Graham) — Value investing foundation
4. "A Man for All Markets" (Thorp) — Legendary quant memoir
5. "Market Microstructure in Practice" (Laruelle) — HFT focus
1. "Advances in Financial Machine Learning" (López de Prado) — ML for trading
2. "Machine Learning for Factor Investing" (Cederburg) — Factor models
3. "The Intelligent Investor" (Graham) — Value investing foundation
4. "A Man for All Markets" (Thorp) — Legendary quant memoir
5. "Market Microstructure in Practice" (Laruelle) — HFT focus
Reading List
Professional
Research Papers & Academic
Key Papers
Indexed
Must-read papers:
• Fama-French 5-factor model papers
• "A High-Frequency Algorithmic Trading Strategy" (Aldridge)
• Deep RL for trading papers (2019-2023)
• All papers available on arXiv and SSRN free
• Fama-French 5-factor model papers
• "A High-Frequency Algorithmic Trading Strategy" (Aldridge)
• Deep RL for trading papers (2019-2023)
• All papers available on arXiv and SSRN free
Academic
Free Access
Quantitative Finance Courses
Online Education
Available
Best free/affordable options:
• Coursera: Financial Engineering (Columbia)
• MIT OpenCourseWare: Sloan Finance courses
• YouTube: QuantInsti lectures
• Interactive Brokers: Free webinars on quant
• Coursera: Financial Engineering (Columbia)
• MIT OpenCourseWare: Sloan Finance courses
• YouTube: QuantInsti lectures
• Interactive Brokers: Free webinars on quant
Free + Paid
University Quality