Ethereum trading algorithm using Python 3.5 and the library ZipLine
created at June 23, 2018, 1:37 a.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.
A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
created at Nov. 12, 2017, 4:52 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.
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
created at April 22, 2019, 10:03 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.
Arbitrage bot that currently works on bittrex & poloniex
created at Aug. 10, 2017, 2 a.m.
Trading Environment(OpenAI Gym) + PPO(TensorForce)
created at Aug. 25, 2018, 10:38 a.m.
ML powered analytics engine for outlier detection and root cause analysis.
created at May 27, 2021, 8:13 a.m.
Scalable machine 🤖 learning for time series forecasting.
created at April 26, 2021, 8:58 p.m.
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
created at Aug. 24, 2018, 7:19 a.m.
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
created at May 16, 2023, 10:36 a.m.
上海期货交易所CTP接口 Shanghai Future CTP Interface CTP Python API Wrapper
created at Dec. 9, 2017, 3:28 a.m.
Python live trade execution library with zipline interface.
created at Aug. 2, 2018, 4:26 p.m.
A Python Pandas implementation of technical analysis indicators
created at July 16, 2015, 5:20 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.