Stars
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
FinRL®: Financial Reinforcement Learning. 🔥
A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
Implementation of Nadaraya-Watson kernel regression with automatic bandwidth selection compatible with sklearn.
Provide risk forecasts by Barra China Equity Model
Barramodel / Barra-Model
Forked from changshun/Barra-ModelAn internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
Barra-Multiple-factor-risk-model
Portfolio analytics for quants, written in Python
Python client for Alpaca's trade API
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Example implementation of the DeepStack algorithm for no-limit Leduc poker
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Holidays of Shanghai and Shenzhen stock exchanges