Popular GitHub Repositories for Stock Market Monte Carlo

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

FinRL: Financial Reinforcement Learning. ?

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Quant/Algorithm trading resources with an emphasis on Machine Learning

Optimizing inference proxy for LLMs

MuZero

Monte Carlo tree search in JAX

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

Bayesian inference with probabilistic programming.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Gaussian processes in TensorFlow

Using python and scikit-learn to make stock predictions

Use unsupervised and supervised learning to predict stocks