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A collection of practical resources by the AI4Finance Foundation

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Awesome AI4Finance

Criteria of Selection and Evaluation

Well, it is a byproduct from our weekly meetings, may be useful for newcommers.

Our selection procedure is academic: 1). recomendation (via PRs) from our community members, 2). evaluation by core members after survey, 3). discussion and evalutation at our weekly meetings.

Financial Big Data

Giller, Graham L. Adventures in Financial Data Science: The empirical properties of financial data and some other things that interested me. Vol. 1. Giller Investments (New Jersey), LLC, 2020.

Data Source

Project Stars Recommendation Description
FinRL-Meta 260+ ⭐⭐⭐⭐⭐ direct data support for FinRL
CCXT 23.4k ⭐⭐⭐⭐⭐ crypto trading
StockSharp 4.7k ⭐⭐⭐⭐ stock markets, forex, bitcoins and options
TuShare 11.4k ⭐⭐⭐
yfinance 6.7k ⭐⭐⭐ easy to connect
Binance 2.2k ⭐⭐⭐
Alpaca 1.5k ⭐⭐⭐ free stock trading
WRDS 85 ⭐⭐ academic usage

Features and Technical Indicators

Project Stars Recommendation Description
TA-Lib 6.3k ⭐⭐⭐⭐⭐
Clairvoyant 2.3k ⭐⭐⭐
FinanceDatabase 950+ ⭐⭐⭐

Artificial Intelligence

Machine Learning

Project Stars Recommendation Description
ML for Trading 5.3k ⭐⭐⭐⭐⭐
Qlib 8.1k ⭐⭐⭐⭐
Stock-Prediction-Models 4.9k ⭐⭐⭐⭐
Advances in Financial ML Exercises 1.2k ⭐⭐⭐⭐
TF Quant Finance 3k ⭐⭐⭐
AlphaPy 700+ ⭐⭐⭐
ML and DS Blueprints for Finance 200+ ⭐⭐⭐
stockpredictionai 3.3k ⭐⭐
MLFinLab 2.8k ⭐⭐

Reinforcement Learning

Project Stars Recommendation Description
FinRL 3.5k ⭐⭐⭐⭐⭐ The first open-source project for financial reinforcement learning.
ElegantRL 1.7k ⭐⭐⭐⭐⭐ Scalable and elastic deep reinforcement learning library using PyTorch.
tensortrade 3.8k ⭐⭐⭐⭐
DRL-Ensemble-ICAIF-2020 1k ⭐⭐⭐⭐
gym-anytrading 950+ ⭐⭐⭐

Others

Project Stars Recommendation Description

Finance

Stock Recommendation

Project Stars Recommendation Description
Ensemble 25 ⭐⭐

Trading

Project Stars Recommendation Description
HFT-LOB-Trading-ML 900+ ⭐⭐⭐

Portfolio Management

Project Stars Recommendation Description
PyPortfolioOpt 2.6k ⭐⭐⭐⭐
OLPS 279 ⭐⭐ On-Line Portfolio Selection

High Performance Computing

Project Stars Recommendation Description
NumPy 19.7k ⭐⭐⭐⭐⭐
Azure HPC ⭐⭐⭐

Intepretation & Explainability

Trading Platform

Project Stars Recommendation Description
QuantConnect 5.9k ⭐⭐⭐⭐
HFT-LOB-Trading-ML 900+ ⭐⭐⭐

Feedback: If you have any ideas or you want any other content to be added to this list, feel free to recommend.

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