A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
created at Sept. 30, 2015, 9:53 a.m.
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
created at Oct. 4, 2016, 2:42 p.m.
【停止维护】新版本更新已迁移到 IBATS 项目组对应名称项目中。连接火币交易所，获取火币实时行情、火币历史行情，保存到mysql数据库同时redis广播，供 ABAT 交易平台进行策略回测、分析，交易使用
created at June 21, 2018, 1:39 a.m.
High-performance TensorFlow library for quantitative finance.
created at July 24, 2019, 4:09 p.m.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
created at March 10, 2018, 11:22 a.m.
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
created at April 8, 2018, 2:06 p.m.
Trading Environment(OpenAI Gym) + PPO(TensorForce)
created at Aug. 25, 2018, 10:38 a.m.
Arbitrage bot that currently works on bittrex & poloniex
created at Aug. 10, 2017, 2 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
created at April 3, 2018, 2:08 p.m.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
created at July 30, 2019, 9:28 p.m.
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
created at April 22, 2019, 10:03 a.m.
Python Backtesting library for trading strategies
created at Jan. 10, 2015, 7:14 a.m.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
created at Sept. 16, 2017, 11:49 p.m.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
created at May 18, 2014, 7:20 p.m.
A curated list of practical financial machine learning tools and applications.
created at March 21, 2019, 9 p.m.
This project tests bt(http://pmorissette.github.io/bt) and Quantopian Zipline(https://github.com/quantopian/zipline) as backtesting frameworks for coin trading strategy.
created at Aug. 15, 2017, 9:31 a.m.