The business of foreign exchange
Machine learning, reinforcement learning and AI agents applied to markets.
1,763 repositories · facts retrieved 2026-11-05
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…
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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 practical financial machine learning tools and applications.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Quant/Algorithm trading resources with an emphasis on Machine Learning
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。
Algorithmic Trading in Python with Machine Learning
基于深度强化学习的开源自动因子工厂。
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning:fire::zap::rainbow
C++ DataFrame for statistical, financial, and ML analysis in modern C++
Open-source AI trading arena. A full reproduction of NOF1 Alpha Arena for running and comparing LLM agents.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
:boar::bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
List of awesome resources for machine learning-based algorithmic trading
Use unsupervised and supervised learning to predict stocks
Using python and scikit-learn to make stock predictions
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Find big moving stocks before they move using machine learning and anomaly detection
QuantMind（量化大脑）开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台，提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24 实时舆情情绪分析，到通达信深度联动（板块推送/预警雷达/闪电下单）与实盘模拟交易的完整闭环。支持…
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Machine Learning in Asset Management (by @firmai)
A股行情分析与AI智能投研智能体：股票分析、量化交易分析、盘后复盘桌面工作台——easy stock
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
Autonomous LLM Trading Asterism — a research-only multi-agent trading platform with evidence-first research, an auditable console, Shadow simulation and explicitly authorized broker execution.
Isn't that what we all want? Our money to go many? Well that's what this framework/strategy hopes to do for you! By giving you & HyperOpt a lot of signals to alter the weights from.
AI agent skill that answers macro questions — housing, gold, BTC, geopolitics — with probability estimates mined from 13 financial data sources (Polymarket, Kalshi, CFTC, SEC & more). For Claude…
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
AI-powered weather intelligence for agricultural commodity futures. Predicts price moves 48-72 hours early across OJ, Coffee, Cocoa, Sugar, Corn and Wheat using Claude Sonnet + satellite data
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture.
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv…
Cloud-native Financial Reinforcement Learning
qlib助手, 每日自动预测a股 👇
Modular reinforcement learning framework for algorithmic trading
Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic feature selection, and deep…
Qlib-Server is the data server system for Qlib. It enable Qlib to run in online mode. Under online mode, the data will be deployed as a shared data service. The data and their cache will be shared…
Full-market stock discovery for AI agents: A-shares plus US/HK/JP/KR/TW/IN, auditable YAML strategies, optional LLM ranking, sector-diversified picks, and true T+N evaluation vs. benchmark. AI选股
Applying Reinforcement Learning in Quantitative Trading
Build your own data-driven market edge with swing-trade signal webhooks, dashboards, alerts, AI agents, and automation examples.
A reproducibility lab for trading AI: published RL and LLM trading claims re-tested under a pre-registered protocol, with a causal benchmark and a live track.
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
qmt、okx、joinquant、ML、AI、Qlib Quant Strategy 量化策略