Python Backtesting library for trading strategies
updated at May 26, 2024, 4:06 a.m.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
updated at May 26, 2024, 3:30 a.m.
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
updated at May 26, 2024, 1:13 a.m.
A curated list of practical financial machine learning tools and applications.
updated at May 26, 2024, 12:36 a.m.
High-performance TensorFlow library for quantitative finance.
updated at May 25, 2024, 8:42 p.m.
Scalable machine 🤖 learning for time series forecasting.
updated at May 25, 2024, 7:27 p.m.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
updated at May 25, 2024, 4:15 p.m.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
updated at May 25, 2024, 2:13 p.m.
Zipline, a Pythonic Algorithmic Trading Library
updated at May 25, 2024, 12:37 p.m.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
updated at May 25, 2024, 5:39 a.m.
Bitcoin arbitrage - opportunity detector
updated at May 24, 2024, 5:20 p.m.
Common financial technical indicators implemented in Pandas.
updated at May 24, 2024, 4:27 p.m.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
updated at May 24, 2024, 2:20 p.m.
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
updated at May 24, 2024, 7:02 a.m.
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
updated at May 22, 2024, 6:29 p.m.