Popular GitHub Repositories for Financial Tips

TradingAgents: Multi-Agents LLM Financial Trading Framework

FinGPT: Open-Source Financial Large Language Models! Revolutionize ? We release the trained model on HuggingFace.

FinRL: Financial Reinforcement Learning. ?

ValueCell is a community-driven, multi-agent platform for financial applications.

FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs ? ? ?

? A curated list of awesome LLMs & deep learning strategies & tools in financial market.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

? ????? about ????, ??????, and ?????? ??? for free by designing, training, and deploying a real-time financial advisor LLM system ~ ?????? ???? + ????? & ??????? ?????????

Quant/Algorithm trading resources with an emphasis on Machine Learning

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Gemini CLI Tips and Tricks

ARCH models in Python

Ultimate collection of Claude Code tips, tricks, hacks, and workflows that you can use to master Claude Code in minutes

DISC-FinLLM，中文金融大语言模型（LLM），旨在为用户提供金融场景下专业、智能、全面的金融咨询服务。DISC-FinLLM, a Chinese financial large language model (LLM) designed to provide users with professional, intelligent, and comprehensive financial consulting services in financial scenarios.

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

R usage tips for data cleaning, data visualisation, statistical modelling and machine learning

A Deep Graph-based Toolbox for Fraud Detection