IbPy by blampe

Python API for the Interactive Brokers on-line trading system.

created at Sept. 25, 2011, 1:38 a.m.

Python

200 +0

1,371 -1

502 +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

126 +0

1,365 +2

341 +0

GitHub
Gekko-Strategies by xFFFFF

Strategies to Gekko trading bot with backtests results and some useful tools.

created at Feb. 11, 2018, 9:10 p.m.

JavaScript

154 +0

1,351 +4

400 +0

GitHub
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

1,349 +0

355 +0

GitHub
empyrical by quantopian

Common financial risk and performance metrics. Used by zipline and pyfolio.

created at March 18, 2016, 10:22 a.m.

Python

72 +0

1,310 +2

408 +2

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

143 +0

1,210 +0

339 +2

GitHub
btgym by Kismuz

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

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

Python

100 +0

988 +1

261 +0

GitHub
deepdow by jankrepl

Portfolio optimization with deep learning.

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

Python

26 +0

920 +3

137 +0

GitHub
mlforecast by Nixtla

Scalable machine 🤖 learning for time series forecasting.

created at April 26, 2021, 8:58 p.m.

Python

12 +0

899 +7

88 +0

GitHub
tforce_btc_trader by lefnire

TensorForce Bitcoin Trading Bot

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

Jupyter Notebook

101 +0

820 +1

235 +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

791 +0

321 +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 +0

787 +0

259 +0

GitHub
hands-on-train-and-deploy-ml by Paulescu

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

created at May 16, 2023, 10:36 a.m.

Python

7 +1

759 +3

131 +1

GitHub
pandas_talib by femtotrader

A Python Pandas implementation of technical analysis indicators

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

Python

55 +0

747 +2

197 +0

GitHub
chaos_genius by chaos-genius

ML powered analytics engine for outlier detection and root cause analysis.

created at May 27, 2021, 8:13 a.m.

Python

11 +0

733 +2

83 +0

GitHub
gym-trading by hackthemarket

Environment for reinforcement-learning algorithmic trading models

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

Jupyter Notebook

54 +0

704 +0

214 +0

GitHub
pylivetrader by alpacahq

Python live trade execution library with zipline interface.

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

Python

67 +0

664 +0

195 +0

GitHub
JAQS by quantOS-org

None

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

Python

89 +0

620 +0

344 +0

GitHub
Deep-Reinforcement-Stock-Trading by Albert-Z-Guo

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

created at May 19, 2019, 10:20 p.m.

Jupyter Notebook

16 +0

596 +1

136 +0

GitHub
PIXIU by chancefocus

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

created at June 2, 2023, 2:59 a.m.

Jupyter Notebook

11 +1

549 +6

68 +2

GitHub