Avellaneda-Stoikov HFT market making algorithm implementation

The KuCoin Universal SDK is the official SDK from KuCoin

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

本项目使用深度学习、时间序列模型、强化学习PPO算法，实现期货的量化交易

📈 如何用深度强化学习自动炒股

A low overhead nanosecond clock based on x86 TSC

Market Making via Reinforcement Learning

Reinforcement Learning in Market Making is a project that explores the application of RL techniques to develop market-making strategies, comparing them with baseline approaches and conducting exper…

Using tabular and deep reinforcement learning methods to infer optimal market making strategies

FinRL: Financial Reinforcement Learning. 🔥

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Implementation of HFT backtesting simulator and Stoikov strategy

量化研究-券商金工研报复现

Simple python connector to Binance Futures API

Open source software that helps you create and deploy high-frequency crypto trading bots

A high-performance algorithmic trading platform and event-driven backtester

A high-performance algorithmic trading platform and event-driven backtester

Official Kaggle API

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

Asynchronous event I/O driven quantitative trading framework.

Supplemental Material for Algorithmic Trading and Quantitative Strategies

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

Statsmodels: statistical modeling and econometrics in Python

Statistical and Algorithmic Investing Strategies for Everyone