Watch jeremy_lee/easyquant实战的量化仓库

大家好，我是easyquant实战。如果你点进了这里，大概率是对量化交易感兴趣，尤其是股票和期货这两个市场。也许你正在寻找一套能跑通的策略，也许你在为代码报错而头疼，也许你只是想知道那些“自动化交易”到底是怎么实现的。这里，就是为了解决这些问题而生的。“easyquant实战” 这个名字，寄托了我的两个愿望：1.让量化变简单（easy）——不谈晦涩的数学模型，只讲能落地的策略和工具。2.专注于实战

Watch tangqianli/future_agent forked from lightning-trader/future_agent

一个基于强化学习的期货高频择时策略，算法支持ppo，rppo，sac，td3等；

Watch tangqianli/lightning-trader forked from lightning-trader/lightning-futures

轻量级期货量化开发框架，适合高频交易

Watch tangqianli/stock_predict forked from jackson/stock_predict

A股市场高频T0交易算法，该模型能够基于历史N分钟时长的分钟级订单簿数据，预测未来十分钟的涨跌幅

Watch tangqianli/aioquant forked from xin123123/aioquant

Asynchronous event I/O driven quantitative trading framework.

Watch tangqianli/ailabx

AI量化实验室，专注将前沿人工智能技术(深度学习/强化学习/知识图谱)应用于金融量化投资。

Watch tangqianli/kungfu forked from 功夫量化/kungfu

Watch tangqianli/QuantStudio forked from scorpi000/QuantStudio

Watch tangqianli/SGX-Full-OrderBook-Tick-Data-Trading-Strategy forked from triobox/SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Watch tangqianli/Stock-Trade forked from Rockman0/Stock-Trade

use PolicyGradient to deside stock trading;使用Policy Gradient进行量化交易决策