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alphanet

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

docs

Source for documentation site

erupt

🚀 纯 Java 注解，单个类文件，快速开发 Admin 管理后台。不生成任何代码、零前端代码、零 CURD、自动建表、注解式API、自定义服务逻辑，支持所有主流数据库，支持自定义页面，支持多数据源，提供二十几类业务组件，十几种展示形式，支持逻辑删除，动态定时任务，前端后端分离等。核心技术：Spring Boot、JPA、Reflect、TypeScript、NG-ZORRO等。 开源不易，记得右上角点个star鼓励作者~

erupt-example

Erupt 框架演示代码

erupt-web

Erupt 框架前端源码，实现了 erupt 零前端代码能力

fantastic-admin

⭐⭐⭐⭐⭐一款开箱即用的 Vue 中后台管理系统框架，支持 Vue 2 和 Vue 3，兼容PC、移动端。vue-admin, vue-element-admin, vue后台, 后台系统, 后台框架, 管理后台, 管理系统

gtja

gym-trading

Environment for reinforcement-learning algorithmic trading models

jupyterlab-spreadsheet

JupyterLab plugin for viewing spreadsheets, such as Excel and OpenOffice

kdbstudio

Studio for kdb+ / Rapid execution environment for q

nanomq

Ultra low latency messaging kernel

phbs_mlf_2021

Repo for MLF in PHBS

quda

cuda shared objects in q

rl-stock

📈 如何用深度强化学习自动炒股

rl-stocktrading

rl_trading

An environment to high-frequency trading agents under reinforcement learning

rlquant

Applying Reinforcement Learning in Quantitative Trading

shannon

Code for Shannon

shiro-action

基于 Shiro 的权限管理系统，支持 restful url 授权，体验地址 :

stock-trading-environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

tdengine

An open-source big data platform designed and optimized for the Internet of Things (IoT).

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

trademaster

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

trading_gym

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

tradinggym

Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

tx

xgb

greedy gradient boosting in kdb+/q