deep_rl_trader by miroblog

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

created at Aug. 24, 2018, 7:19 a.m.

Python

22 +0

402 +1

93 +1

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

8 +0

414 +6

43 +1

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
tulipnode by TulipCharts

Tulip Node is the official node.js wrapper for Tulip Indicators. It provides over 100 technical analysis overlay and indicator functions.

created at Dec. 20, 2016, 9:44 p.m.

JavaScript

21 +0

490 +0

86 -1

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

14 +0

515 +1

123 +3

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
JAQS by quantOS-org

None

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

Python

89 +0

614 +1

344 +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
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

6 +0

665 +4

109 +1

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
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

10 +0

705 +0

81 +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
mlforecast by Nixtla

Scalable machine 🤖 learning for time series forecasting.

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

Python

13 +0

733 +2

70 +2

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
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
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
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
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
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