awesome_ai4finance

Python quant trading system supporting US/A/HK stocks, futures, options, and Bitcoin with ML-based strategy optimization.

Python-based platform for development, optimization, and deployment of automated trading systems.

Feature-rich Python framework for backtesting and live trading. Supports multiple data feeds and brokers.

Open-source Rust framework for building event-driven live-trading and backtesting systems.

Flexible backtesting framework for Python with modular algorithm stacks and portfolio-level strategy testing.

Python stock trading automation for Chinese brokers (Tonghuashun/MiniQMT/Xueqiu).

Free open-source A-share quant trading database with multi-source data fusion and dynamic proxy.

Elegant Python financial data interface covering A-shares, futures, options, funds, forex, bonds, indices, and crypto from authoritative Chinese sources.

Official Python SDK for Alpaca. Commission-free stock trading API with paper/live trading.

High-performance serverless DataFrame database by Man Group for petabyte-scale time-series and tick data.

Official Python connector for Binance APIs. Spot, futures, and market data.

Unified JavaScript/Python/PHP library for 100+ cryptocurrency exchange APIs. Trading and market data.

Experimental solutions to exercises from Advances in Financial Machine Learning .

Comprehensive AI stock trading platform covering LLMs, factor mining, ML/DL/RL, graph networks, and HFT strategies.

ML framework for both speculators and data scientists. Automated feature engineering and model selection.

Implementations of methods from Advances in Financial Machine Learning by Marcos Lopez De Prado.

Microsoft's AI-oriented quantitative investment platform with full ML pipeline. Supports alpha mining, model training, and backtesting.

Reproduces 100+ quantitative investment strategies from Chinese brokerage research reports.

Multi-agent AI hedge fund simulator with 18 agents modeled after legendary investors (Buffett, Munger, etc.) plus specialist agents.

Fully-automated agent-native trading platform from HKU. Cross-platform signal sync and one-click copy trading.

Generates synergistic formulaic alpha factors via reinforcement learning (KDD 2023).

Anthropic's official reference agents for finance: 10 specialized agents for earnings review, KYC screening, pitch generation, model building, and more.

Swarm-intelligence-powered autonomous hedge fund with Director, Quant, Risk, and Execution agents.

LLM-powered A/H/US stock analysis system. Multi-source market data + real-time news + LLM decision dashboard + multi-channel push notifications.

Azure high-performance computing for financial services — risk simulation, pricing, and analytics.

The fundamental package for scientific computing with Python. Foundation for most quantitative finance libraries.

Identify and monitor social/historical cues for short-term stock movement.

Tongdaxin/Tonghuashun financial formula syntax ported to Python (e.g., , ).

Technical analysis library using Pandas and NumPy. Includes 40+ indicators out of the box.

Python wrapper for TA-Lib. 200+ technical analysis functions: candlestick patterns, momentum, volatility, and more.