A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
updated at May 12, 2024, 10:30 a.m.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
updated at May 12, 2024, 10:02 a.m.
Python Backtesting library for trading strategies
updated at May 12, 2024, 7:50 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 12, 2024, 4:52 a.m.
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
updated at May 12, 2024, 3 a.m.
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
updated at May 12, 2024, 2:59 a.m.
A curated list of practical financial machine learning tools and applications.
updated at May 12, 2024, 12:32 a.m.
Zipline, a Pythonic Algorithmic Trading Library
updated at May 11, 2024, 7:07 p.m.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
updated at May 11, 2024, 1:17 p.m.
Python live trade execution library with zipline interface.
updated at May 11, 2024, 11:18 a.m.
Scalable machine 🤖 learning for time series forecasting.
updated at May 11, 2024, 10:21 a.m.
Bitcoin arbitrage - opportunity detector
updated at May 11, 2024, 9:21 a.m.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
updated at May 11, 2024, 9:15 a.m.
High-performance TensorFlow library for quantitative finance.
updated at May 11, 2024, 12:28 a.m.
A stock trading bot powered by Trump tweets
updated at May 10, 2024, 8:21 p.m.