Code for Machine Learning for Algorithmic Trading, 2nd edition.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

Machine learning, in numpy

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

A series of large language models trained from scratch by developers @01-ai

Machine Learning in Finance: From Theory to Practice Book

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor mod…

Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models

Quant/Algorithm trading resources with an emphasis on Machine Learning

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

从零开始学编程 系列汇总（从α到Ω）

A Library for Advanced Deep Time Series Models.

WonderTrader——量化研发交易一站式框架

Quantitative analysis, strategies and backtests

Portfolio analytics for quants, written in Python

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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…

GPT4 & LangChain Chatbot for large PDF docs

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

本文通过gplearn模型，结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统，主要针对股指期货操作。

Hurst exponent evaluation and R/S-analysis in Python

中国版技术指标

基金投资管理回测引擎

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

深入了解zipline回测框架

zipline 是开源量化平台，但是当前zipline 并不支持A股的测试，很多在线平台如优矿，聚宽等都是基于zipline，本项目改进zipline，使得zipline支持A股测试

Zipline, a Pythonic Algorithmic Trading Library