yahoo-finance by yahoo-finance

Python module to get stock data from Yahoo! Finance

created at May 2, 2014, 9:12 p.m.

Python

112 +0

1,299 +2

353 +1

GitHub
TradingGym by Yvictor

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

created at May 1, 2017, 1:53 p.m.

Python

104 +1

1,476 +5

346 +1

GitHub
JAQS by quantOS-org

None

created at Oct. 16, 2017, 3:53 a.m.

Python

89 +0

614 +1

344 +0

GitHub
Personae by Ceruleanacg

📈 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.

Python

123 +0

1,320 +2

337 +0

GitHub
cryptocurrency-arbitrage by manu354

A cryptocurrency arbitrage opportunity calculator. Over 800 currencies and 50 markets.

created at July 6, 2017, 9:33 a.m.

JavaScript

145 +1

1,166 +0

331 +0

GitHub
stock_market_reinforcement_learning by kh-kim

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.

Python

75 +0

783 +0

323 +0

GitHub
FinancePy by domokane

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

created at Oct. 27, 2019, 3:04 p.m.

Jupyter Notebook

63 +0

1,926 +7

292 +0

GitHub
btgym by Kismuz

Scalable, event-driven, deep-learning-friendly backtesting library

created at May 24, 2017, 4:35 p.m.

Python

100 +0

980 +1

258 +0

GitHub
r2 by bitrinjani

R2 Bitcoin Arbitrager is an automatic arbitrage trading system powered by Node.js + TypeScript.

created at Oct. 28, 2017, 7:57 a.m.

TypeScript

132 +1

763 +3

258 +0

GitHub
tforce_btc_trader by lefnire

TensorForce Bitcoin Trading Bot

created at Aug. 22, 2017, 6:18 p.m.

Jupyter Notebook

101 +0

806 +1

235 +1

GitHub
DeepLearningNotes by AlphaSmartDog

机器学习和量化分析学习进行中

created at Aug. 23, 2017, 5:15 a.m.

Jupyter Notebook

41 +0

359 +0

229 +0

GitHub
gym-trading by hackthemarket

Environment for reinforcement-learning algorithmic trading models

created at Dec. 9, 2016, 8:46 p.m.

Jupyter Notebook

55 +0

695 +0

216 +1

GitHub
Advanced-Deep-Trading by Rachnog

Mostly experiments based on "Advances in financial machine learning" book

created at Feb. 16, 2019, 9:18 p.m.

Jupyter Notebook

43 +0

532 +2

214 +1

GitHub
LotteryPredict by chengstone

TensorFlow实战,使用LSTM预测彩票

created at Dec. 8, 2017, 6:48 a.m.

Jupyter Notebook

20 +0

373 +0

198 +0

GitHub
pylivetrader by alpacahq

Python live trade execution library with zipline interface.

created at Aug. 2, 2018, 4:26 p.m.

Python

65 +0

647 +1

197 +0

GitHub
pandas_talib by femtotrader

A Python Pandas implementation of technical analysis indicators

created at July 16, 2015, 5:20 a.m.

Python

54 +1

707 +1

192 +0

GitHub
qtrader by filangel

Reinforcement Learning for Portfolio Management

created at Oct. 7, 2017, 9:14 a.m.

Jupyter Notebook

47 +0

446 +0

169 +0

GitHub
ctpwrapper by nooperpudd

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

23 +0

448 +1

155 +0

GitHub
bitcoin_prediction by llSourcell

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

created at Feb. 1, 2018, 10:02 a.m.

Jupyter Notebook

16 +0

234 +0

133 +0

GitHub
deepdow by jankrepl

Portfolio optimization with deep learning.

created at Feb. 2, 2020, 8:46 a.m.

Python

26 +0

849 +3

133 -1

GitHub