A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

Python金融分析与量化交易实战教程课件

入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.

BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）

《动手学大模型Dive into LLMs》系列编程实践教程

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

多因子指数增强策略/多因子全流程实现

使用pytorch搭建的循环神经网络在股票数据时间序列上的应用

Helpers for generating Postgres queries from text.

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…

The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

Making large AI models cheaper, faster and more accessible

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…

[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…

Classifier by pytorch

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis

Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particular…

Python Backtesting library for trading strategies

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Performance analysis of predictive (alpha) stock factors

Performance analysis of predictive (alpha) stock factors

Implement of TransE, TransH, KG2E with pytorch