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A curated list of awesome AI / machine learning / deep learning / reinforcement learning / LLM tools, frameworks, and resources for quantitative finance.
This list is maintained by the AI4Finance Foundation. If you find it useful, please give it a star🌟!
The AI4Finance Foundation provides a full-stack open-source ecosystem for AI-driven finance, from data to deployment.
| Project | Stars | Description |
|---|---|---|
| FinGPT | 20.4k  | Open-source financial large language models. Fine-tuning LLMs (LLaMA, ChatGLM, etc.) with financial data for sentiment analysis, robo-advising, and quantitative trading. |
| FinRL | 15.3k  | The first open-source framework for financial reinforcement learning. Full pipeline from data processing to DRL-based trading (stock, crypto, forex). |
| FinRobot | 7.2k  | Open-source AI agent platform for financial analysis using LLMs. Multi-agent architecture for report generation, analysis, and trading decisions. |
| ElegantRL | 4.3k  | Scalable and elastic deep reinforcement learning library using PyTorch. Lightweight, efficient, and cloud-native. |
| FinRL-X | 3.2k  | AI-native modular infrastructure for quantitative trading. Unifies data, strategy, backtesting, and execution. Paper |
| FinRL-Meta | 1.9k  | A universe of dynamic market environments for financial reinforcement learning. Standardized datasets for stock, crypto, and forex. |
| FinNLP | 1.5k  | Democratizing internet-scale financial data. NLP toolkit for financial news and social media data processing. |
| FinRL-Tutorials | 1.2k  | Jupyter notebook tutorials covering stock trading, portfolio allocation, crypto trading, and more. |
| FinRL-Podracer | 501  | Cloud-based framework for massively parallel financial RL training. |
| RLSolver | 167  | RL-based solver for combinatorial optimization problems in finance. |
Large Language Models are transforming finance through automated analysis, report generation, and intelligent trading.
| Project | Stars | Description |
|---|---|---|
| FinGPT | 20.4k | Open-source financial LLM framework with LoRA/QLoRA fine-tuning on financial data. |
| FinRobot | 7.2k | AI agent platform for financial analysis using LLMs with multi-agent architecture. |
| FinGLM | 2.2k  | Open financial LLM by Zhipu AI built on ChatGLM, with annual report datasets and challenge competition code. |
| FinBERT | 2.1k  | Pre-trained NLP model to analyze sentiment of financial text. Built on BERT, fine-tuned on financial corpus. |
| FinNLP | 1.5k | Toolkit for financial NLP with easy access to financial news and social media data. |
| XuanYuan | 1.3k  | Chinese financial chat LLM from Du Xiaoman Financial. Hundreds of billions of parameters, fine-tuned on financial domain data. |
| DISC-FinLLM | 878  | Chinese financial LLM from Fudan University. Multi-expert fine-tuning for QA, domain NLP, math computation, and RAG-based consulting. |
| PIXIU (FinMA) | 865  | Open-source financial LLM evaluation framework with FinMA models (7B/30B), FinBen benchmark, and 136K instruction-tuning dataset. |
| Fin-R1 | 790  | Financial reasoning LLM based on Qwen2.5-7B, trained with SFT + RL on 60K chain-of-thought samples. SOTA on FinQA and ConvFinQA. |
| InvestLM | 153  | Investment-focused LLM fine-tuned on LLaMA-65B using CFA exams, SEC filings, and quant finance data. Rated comparable to GPT-4 by hedge fund managers. |
| Pineify | – | AI-assisted trading workflow with Pine Script, MQL5, and cTrader coding agents, financial research tools, market screening, strategy optimization, and backtest analysis. |
Autonomous AI agents that can analyze markets, make trading decisions, and generate financial reports.
| Project | Stars | Description |
|---|---|---|
| iPulse AI | – | Open Agentic Investment Research Platform with independent AI advisor reports, asset forecasts and ranked market discovery; evidence, risks and assumptions are inspectable. Hosted research software, with no trade execution. |
| TradingAgents | 82.4k  | Multi-agent LLM financial trading framework. Specialized agents (fundamentals, sentiment, technical) debate and reach consensus on trades. |
| ai-hedge-fund | 59.7k  | Multi-agent AI hedge fund simulator with 18 agents modeled after legendary investors (Buffett, Munger, etc.) plus specialist agents. |
| daily_stock_analysis | 40.0k  | LLM-powered A/H/US stock analysis system. Multi-source market data + real-time news + LLM decision dashboard + multi-channel push notifications. |
| Anthropic Financial Services | 29.6k  | Anthropic's official reference agents for finance: 10 specialized agents for earnings review, KYC screening, pitch generation, model building, and more. |
| TradingAgents-CN | 27.8k  | Chinese multi-agent LLM trading framework simulating professional trading firm workflows for A/HK/US markets. |
| AI-Trader | 19.1k  | Fully-automated agent-native trading platform from HKU. Cross-platform signal sync and one-click copy trading. |
| Qbot | 17.5k  | AI-powered quantitative investment research platform with 300+ models from 40+ papers, fully local deployment. |
| nofx | 12.5k  | AI trading terminal for stocks, commodities, forex, and crypto. 7 exchanges + 7 AI models competing in real-time. |
| Vibe-Trading | 9.6k  | Personal trading agent from HKU for research, simulation, backtesting, and autonomous broker-authorized trading. |
| FinRobot | 7.2k | Open-source AI agent platform for financial applications powered by LLMs. |
| Polymarket Agents | 3.6k  | Official Polymarket framework for building autonomous AI agents that trade prediction markets. |
| AutoHedge | 3.1k  | Swarm-intelligence-powered autonomous hedge fund with Director, Quant, Risk, and Execution agents. |
| AlphaGen | 1.1k  | Generates synergistic formulaic alpha factors via reinforcement learning (KDD 2023). |
| QuantaAlpha | 1.0k  | LLM + evolutionary strategies framework for automatic alpha factor mining. |
| FinMem | 903  | LLM-based trading agent with layered memory (short/mid/long-term) for evolving market understanding. |
| oracle3 | 258  | Open-source trading engine and MCP server for prediction markets (Kalshi, Polymarket, Solana). Checks fee-adjusted no-arbitrage relations across related event contracts, runs statistical-arbitrage strategies, and trades live or on paper; the MCP server lets AI agents read order books and place paper orders. |
| QVeris | 230  | Capability routing network for AI agents to discover, inspect, and call 10,000+ real-world financial capabilities through one unified MCP protocol. |
| Superhighway M&A Research Agent | – | Python agent that researches comparable M&A transactions, deal multiples, potential acquirers, and recent deal activity via live web search. Generates structured M&A intelligence briefs for corporate development, PE analysts, and investment bankers. Pay-per-call, no signup. |
| NeuPortal | – | AI forecasting-accountability lab. Every AI forecast is locked pre-event, Bitcoin-timestamped via OpenTimestamps, and Brier-scored in public against prediction markets across crypto, macro, and sports. Hosted, closed-source service. |
| Algorier | – | Natural-language ("vibe trading") agent that turns a described trading idea into a generated, backtested and forward-tested algorithm and deploys it to the user's own broker account across forex, crypto, metals, indices, CFDs and equities; strategies can also be sold on its marketplace with the logic kept private from buyers. |
Frameworks and libraries applying deep reinforcement learning to trading, portfolio management, and market making.
| Project | Stars | Description |
|---|---|---|
| FinRL | 15.3k | The first open-source DRL framework for quantitative finance. Supports PPO, A2C, DDPG, SAC, TD3, and more. |
| TensorTrade | 6.3k  | An RL framework for training, evaluating, and deploying robust trading agents. |
| ElegantRL | 4.3k | Massively parallel deep reinforcement learning using PyTorch. |
| FinRL-Trading | 3.2k | Ensemble strategy using DRL for automated stock trading (ICAIF 2020). |
| gym-anytrading | 2.4k  | OpenAI Gym trading environment for reinforcement learning. |
| FinRL-Meta | 1.9k | Dynamic market environments and standardized datasets for financial RL. |
General machine learning approaches for financial prediction, alpha generation, and quantitative investment.
| Project | Stars | Description |
|---|---|---|
| Qlib | 44.0k  | Microsoft's AI-oriented quantitative investment platform with full ML pipeline. Supports alpha mining, model training, and backtesting. |
| ML for Trading | 18.7k  | Code for the book Machine Learning for Algorithmic Trading. Comprehensive guide on using ML to add value to trading strategies. |
| Stock-Prediction-Models | 9.4k  | Collection of ML and deep learning models for stock forecasting, including transformers, LSTMs, and more. |
| ai_quant_trade | 5.7k  | Comprehensive AI stock trading platform covering LLMs, factor mining, ML/DL/RL, graph networks, and HFT strategies. |
| stockpredictionai | 5.6k  | Complete process for predicting stock price movements using deep learning. |
| TF Quant Finance | 5.4k  | TensorFlow-based library for quantitative finance by Google. Covers options pricing, volatility models, and more. |
| QuantsPlaybook | 5.2k  | Reproduces 100+ quantitative investment strategies from Chinese brokerage research reports. |
| MLFinLab | 4.8k  | Implementations of methods from Advances in Financial Machine Learning by Marcos Lopez De Prado. |
| Adv_Fin_ML_Exercises | 1.9k  | Experimental solutions to exercises from Advances in Financial Machine Learning. |
| AlphaPy | 1.7k  | ML framework for both speculators and data scientists. Automated feature engineering and model selection. |
| fin-ml | 1.2k  | Code for case studies in Machine Learning and Data Science Blueprints for Finance. |
| ml-quant-trading | 38  | Paper-backed PyTorch research stack for mask-aware multi-factor modeling, ML baselines, portfolio optimization, and vectorized backtesting. |
Frameworks for algorithmic trading, strategy backtesting, and automated trading bots.
| Project | Stars | Description |
|---|---|---|
| FreqTrade | 51.1k  | Free, open-source crypto trading bot. Supports backtesting, strategy optimization, and live trading on many exchanges. |
| vnpy/VeighNa | 41.3k  | Python-based open-source quant trading platform. Multi-market gateway support for stocks, futures, options, and crypto. |
| NautilusTrader | 23.3k  | Production-grade Rust-native trading engine with nanosecond-resolution clock and Python strategy API. |
| Backtrader | 21.8k  | Feature-rich Python framework for backtesting and live trading. Supports multiple data feeds and brokers. |
| Zipline | 19.8k  | Pythonic event-driven backtesting library, originally powering the Quantopian platform. |
| QuantConnect/Lean | 19.7k  | Algorithmic trading engine built for strategy research, backtesting, and live trading. Multi-asset support. |
| Hummingbot | 18.8k  | Open-source crypto market making and arbitrage bot. Gateway to CeFi and DeFi exchanges. |
| Abu | 17.4k  | Python quant trading system supporting US/A/HK stocks, futures, options, and Bitcoin with ML-based strategy optimization. |
| QUANTAXIS | 10.6k  | Distributed quant solution for stocks/futures/options with data, backtesting, simulation, and live trading. |
| Easytrader | 9.8k  | Python stock trading automation for Chinese brokers (Tonghuashun/MiniQMT/Xueqiu). |
| Jesse | 8.0k  | Advanced algo-trading framework for crypto. Strategy development, backtesting, and live trading. |
| VectorBT | 7.8k  | Blazing fast vectorized backtesting and trading analysis using NumPy and Pandas. |
| ManifoldBT |  | High-performance Rust-powered Python backtesting: vectorized signals with realistic fills (fees, slippage, look-ahead), parameter sweeps, walk-forward, Monte Carlo. |
| RQAlpha | 6.4k  | Extendable Python algorithmic backtesting and trading framework from RiceQuant. |
| WonderTrader | 6.1k  | High-performance C++ core quant framework with Python layer (wtpy) for research, trading, and operations. |
| OctoBot | 6.0k  | Open-source crypto trading bot for AI, Grid, DCA, and TradingView strategies on 15+ exchanges. |
| Krypto-trading-bot | 3.7k  | Self-hosted C++ high-frequency crypto market-making bot with sub-millisecond order execution. |
| Hikyuu | 3.2k  | C++/Python ultra-high-speed quant research framework for A-share market. |
| bt | 2.9k  | Flexible backtesting framework for Python with modular algorithm stacks and portfolio-level strategy testing. |
| HFT-LOB-Trading-ML | 2.3k  | High-frequency trading strategies using ML on full order book tick data. |
| barter-rs | 2.2k  | Open-source Rust framework for building event-driven live-trading and backtesting systems. |
| Zipline-Reloaded | 1.8k  | Community-maintained fork of Zipline, compatible with modern Python. Companion to ML for Algorithmic Trading. |
| Lumibot | 1.6k  | Backtestable AI trading agents for stocks, options, crypto, futures, and forex with real broker integration. |
| AutoTrader | 1.3k  | Python-based platform for development, optimization, and deployment of automated trading systems. |
| Funcat | 1.0k  | Ports Tongdaxin/Tonghuashun financial formula syntax to Python for technical analysis (e.g., MA(C,5)). |
Tools and APIs for accessing financial market data — stocks, crypto, forex, and alternative data.
| Project | Stars | Description |
|---|---|---|
| OpenBB Terminal | 68.5k  | Open-source investment research platform. Access stock, crypto, forex, and macro data with built-in analysis tools. |
| CCXT | 42.8k  | Unified JavaScript/Python/PHP library for 100+ cryptocurrency exchange APIs. Trading and market data. |
| FinceptTerminal | 25.1k  | Modern finance terminal with advanced market analytics, investment research, and economic data tools for interactive exploration. |
| yfinance | 24.0k  | Download market data from Yahoo Finance. Stocks, ETFs, mutual funds, options, and more. |
| AKShare | 20.0k  | Elegant Python financial data interface covering A-shares, futures, options, funds, forex, bonds, indices, and crypto from authoritative Chinese sources. |
| TuShare | 15.1k  | Financial data interface for Chinese stock markets. Historical and real-time data. |
| OpenStock | 13.0k  | Free open-source market platform alternative with real-time prices, alerts, and company insights. |
| StockSharp | 10.0k  | Algorithmic trading and quantitative analysis platform. Connects to multiple brokers and exchanges. |
| FinanceDatabase | 7.8k  | Comprehensive database of 300,000+ symbols: Equities, ETFs, Funds, Indices, Currencies, and Crypto. |
| FinanceToolkit | 4.9k  | Transparent financial analysis with 150+ ratios, indicators, and performance measurements. |
| AData | 4.6k  | Free open-source A-share quant trading database with multi-source data fusion and dynamic proxy. |
| Binance | 2.9k  | Official Python connector for Binance APIs. Spot, futures, and market data. |
| ArcticDB | 2.4k  | High-performance serverless DataFrame database by Man Group for petabyte-scale time-series and tick data. |
| EdgarTools | 2.3k  | Read and analyze SEC EDGAR filings in Python (10-K, 8-K, XBRL, 13F). |
| FinRL-Meta | 1.9k | Dynamic datasets and market environments for stock, crypto, and forex. |
| Alpaca | 1.4k  | Official Python SDK for Alpaca. Commission-free stock trading API with paper/live trading. |
| jqdatasdk | 1.3k  | JoinQuant's Python data SDK for Chinese financial market data. |
| DeFiLlama Adapters | 1.2k  | Open-source DeFi TVL calculation adapters for 2,400+ protocols across 180+ blockchains. |
| WRDS | 155  | Python interface to Wharton Research Data Services for academic financial research. |
| 0xArchive | – | Real-time and historical Hyperliquid and Lighter market data via REST and WebSocket APIs. |
| The Stall |  | MCP server with 173 financial market data capabilities — stocks, ETFs, crypto, DeFi, options, SEC filings, earnings, analyst ratings, and macro indicators. Pay-per-call via x402 micropayments on Base; no API keys required. |
| AgentServices |  | 54-service x402-paid API platform for AI agents — crypto market data, onchain analytics, financial intelligence, and inference endpoints. MCP server with 37 tools. Pay-per-call via x402 on Base; no API keys required. |
| S&P 500 Earnings Announcement Times |  | 63,969 S&P 500 earnings announcements with the time of day, parsed from SEC 8-K item 2.02 filings, 2003-2026. CSV dataset released under CC0. |
| Eulerpool | – | Financial data API with 400+ endpoints: global equities and fundamentals, ETFs, insider trades, 13F, macro series from FRED/ECB/IMF/World Bank/OECD/BIS, crypto, FX and commodities. SDKs for Python, TypeScript, Go, Java, R, PHP, Rust and C++; hosted MCP server. Free tier 100k requests/month. |
| aikstockdata |  | Korean listed-company data as static JSON and CSV with a remote MCP server: the previous trading day's settled closing prices from the government equity price feed (ETFs excluded), DART regulatory filings with the minute each one was received, earnings from periodic filings, and median market-adjusted returns after a filing grouped by filing type. No account and no API key — Non-commercial use with attribution; commercial redistribution is not permitted. |
| FXMacroData | – | Official-source macroeconomic releases for 22 currencies, each stamped with its publication time, plus release calendars, central-bank decisions, COT positioning and FX rates over REST and a hosted MCP server. USD data needs no API key. |
| Equibles | – | US stock market data over a hosted MCP server and a REST API: SEC filings with full-text search, XBRL financial statements, earnings call transcripts, insider and congressional trades, 13F holdings and option chains. Works with ChatGPT and Claude over OAuth. Free tier 100 requests/day. |
| Aperiodic | – | Point-in-time crypto microstructure, liquidity and order-flow metrics (220 metrics, 19 datasets) and raw trades, quotes and derivatives data for perpetuals on venues including Binance, OKX and Hyperliquid, as parquet via CLI, REST API and Python SDK. A preview of every dataset needs no API key. |
| Fincept MCP | – | Hosted MCP server for Fincept Terminal over Streamable HTTP with OAuth sign-in: quotes, candles, option chains, futures curves, fundamentals, economic series, SEC filings, news, backtests, paper trading and 15 quant engines (statistics, forecasting, GARCH volatility, portfolio optimisation, derivatives pricing). Requires a paid plan. |
| Tapetide | – | Indian stock market data for about 8,200 NSE and BSE listed companies over a hosted MCP server: quotes, quarterly financials, shareholding, a 326-ratio screener, FII/DII flows, option chains and company filings. Works with Claude, ChatGPT and Cursor over OAuth or a personal token; open-source MIT client on GitHub. Free plan included. |
| Financial Evidence |  | Read-only MCP and Python router for public institution, money-market, and market-liquidity research, retaining source links, retrieval times, and unavailable states. Public reads require no API key. |
Libraries for computing technical indicators and performing quantitative analysis on market data.
| Project | Stars | Description |
|---|---|---|
| TA-Lib | 12.0k  | Python wrapper for TA-Lib. 200+ technical analysis functions: candlestick patterns, momentum, volatility, and more. |
| ta | 5.1k  | Technical analysis library using Pandas and NumPy. Includes 40+ indicators out of the box. |
| Clairvoyant | 2.4k  | Identify and monitor social/historical cues for short-term stock movement. |
| Funcat | 1.0k | Tongdaxin/Tonghuashun financial formula syntax ported to Python (e.g., MA(C,5), CROSS(MA5, MA10)). |
Tools for portfolio optimization, risk analysis, asset allocation, and performance analytics.
| Project | Stars | Description |
|---|---|---|
| QuantStats | 7.2k  | Portfolio analytics for quants with in-depth performance metrics, risk analytics, tear sheets, and HTML reports. |
| Pyfolio | 6.3k  | Portfolio and risk analytics in Python with comprehensive tear sheet analysis. |
| PyPortfolioOpt | 5.8k  | Portfolio optimization in Python. Classical efficient frontier, Black-Litterman, Hierarchical Risk Parity, and more. |
| Riskfolio-Lib | 4.2k  | Portfolio optimization and quantitative strategic asset allocation. Supports 20+ risk measures. |
| ffn | 2.6k  | Financial functions library for Python: performance measurement, data transformations, and portfolio analytics. |
| Empyrical | 1.5k  | Common financial risk and performance metrics (Sharpe, Sortino, max drawdown). Used by Zipline and Pyfolio. |
| OLPS | 357  | Toolbox for On-Line Portfolio Selection strategies. |
Tools for extracting trading signals from text — news, social media, SEC filings, and earnings calls.
| Project | Stars | Description |
|---|---|---|
| FinGPT | 20.4k | Financial LLMs with built-in sentiment analysis capabilities via fine-tuning. |
| VADER | 5.0k  | Valence Aware Dictionary and sEntiment Reasoner. Rule-based sentiment analysis tool, widely used for financial social media and news text. |
| FinBERT | 2.1k | Pre-trained NLP model for financial sentiment analysis. Fine-tuned on financial communication text. |
Core quantitative finance libraries for derivatives pricing, risk management, and financial modeling.
| Project | Stars | Description |
|---|---|---|
| gs-quant | 10.5k  | Goldman Sachs Python toolkit for quantitative finance, derivatives pricing, and risk analytics. |
| QuantLib | 7.2k  | The canonical open-source C++ library for quantitative finance: derivatives pricing, fixed income, and risk management. |
| RustQuant | 1.8k  | Rust library for quantitative finance covering stochastic processes, options pricing, bonds, and Monte Carlo methods. |
End-to-end platforms for algorithmic trading with broker integration.
| Project | Stars | Description |
|---|---|---|
| QuantConnect/Lean | 19.7k | Algorithmic trading engine. Multi-asset support with cloud integration for backtesting and live trading. |
| StockSharp | 10.0k | Algorithmic trading for stocks, forex, crypto, and options. GUI and API-based development. |
| FinRL-X | 3.2k | AI-native modular infrastructure for quantitative trading. Unifies data processing, strategy construction, backtesting, and broker execution with RL/LLM support. Paper |
Tools for visualizing market data, trading activity, and agent performance.
| Project | Stars | Description |
|---|---|---|
| KLinePic MCP |  | First-party MCP server and Agent API for turning broker or exchange fills into annotated candlestick trade-review charts. Supports A-shares, US stocks, crypto, and futures; post-trade review only, with no signals or order execution. |
| mplfinance | 4.4k  | Financial data visualization using Matplotlib. Candlestick charts, OHLC, Renko, and more. |
| TradingGym | 1.9k  | Toolkit for training and backtesting RL algorithms with real-time rendering. |
| Project | Stars | Description |
|---|---|---|
| NumPy | 32.1k  | The fundamental package for scientific computing with Python. Foundation for most quantitative finance libraries. |
| Azure HPC | - | Azure high-performance computing for financial services — risk simulation, pricing, and analytics. |
Key academic papers on AI in finance.
Contributions are welcome! If you have suggestions for new projects or improvements:
Selection criteria: Projects should be actively maintained, well-documented, and provide genuine value to the AI for finance community. We particularly welcome:
This project is licensed under the MIT License.
Feedback: If you have any ideas or want content added to this list, feel free to open an issue or submit a PR.
29 followers · starred Sep 2026
16 followers · starred Jun 2025
Resources
See the code
A curated list of awesome AI / machine learning / deep learning / reinforcement learning / LLM tools, frameworks, and resources for quantitative finance.
This list is maintained by the AI4Finance Foundation. If you find it useful, please give it a star🌟!
The AI4Finance Foundation provides a full-stack open-source ecosystem for AI-driven finance, from data to deployment.
| Project | Stars | Description |
|---|---|---|
| FinGPT | 20.4k | Open-source financial large language models. Fine-tuning LLMs (LLaMA, ChatGLM, etc.) with financial data for sentiment analysis, robo-advising, and quantitative trading. |
| FinRL | 15.3k | The first open-source framework for financial reinforcement learning. Full pipeline from data processing to DRL-based trading (stock, crypto, forex). |
| FinRobot | 7.2k | Open-source AI agent platform for financial analysis using LLMs. Multi-agent architecture for report generation, analysis, and trading decisions. |
| ElegantRL | 4.3k | Scalable and elastic deep reinforcement learning library using PyTorch. Lightweight, efficient, and cloud-native. |
| FinRL-X | 3.2k | AI-native modular infrastructure for quantitative trading. Unifies data, strategy, backtesting, and execution. Paper |
| FinRL-Meta | 1.9k | A universe of dynamic market environments for financial reinforcement learning. Standardized datasets for stock, crypto, and forex. |
| FinNLP | 1.5k | Democratizing internet-scale financial data. NLP toolkit for financial news and social media data processing. |
| FinRL-Tutorials | 1.2k | Jupyter notebook tutorials covering stock trading, portfolio allocation, crypto trading, and more. |
| FinRL-Podracer | 501 | Cloud-based framework for massively parallel financial RL training. |
| RLSolver | 167 | RL-based solver for combinatorial optimization problems in finance. |
Large Language Models are transforming finance through automated analysis, report generation, and intelligent trading.
| Project | Stars | Description |
|---|---|---|
| FinGPT | 20.4k | Open-source financial LLM framework with LoRA/QLoRA fine-tuning on financial data. |
| FinRobot | 7.2k | AI agent platform for financial analysis using LLMs with multi-agent architecture. |
| FinGLM | 2.2k | Open financial LLM by Zhipu AI built on ChatGLM, with annual report datasets and challenge competition code. |
| FinBERT | 2.1k | Pre-trained NLP model to analyze sentiment of financial text. Built on BERT, fine-tuned on financial corpus. |
| FinNLP | 1.5k | Toolkit for financial NLP with easy access to financial news and social media data. |
| XuanYuan | 1.3k | Chinese financial chat LLM from Du Xiaoman Financial. Hundreds of billions of parameters, fine-tuned on financial domain data. |
| DISC-FinLLM | 878 | Chinese financial LLM from Fudan University. Multi-expert fine-tuning for QA, domain NLP, math computation, and RAG-based consulting. |
| PIXIU (FinMA) | 865 | Open-source financial LLM evaluation framework with FinMA models (7B/30B), FinBen benchmark, and 136K instruction-tuning dataset. |
| Fin-R1 | 790 | Financial reasoning LLM based on Qwen2.5-7B, trained with SFT + RL on 60K chain-of-thought samples. SOTA on FinQA and ConvFinQA. |
| InvestLM | 153 | Investment-focused LLM fine-tuned on LLaMA-65B using CFA exams, SEC filings, and quant finance data. Rated comparable to GPT-4 by hedge fund managers. |
| Pineify | – | AI-assisted trading workflow with Pine Script, MQL5, and cTrader coding agents, financial research tools, market screening, strategy optimization, and backtest analysis. |
Autonomous AI agents that can analyze markets, make trading decisions, and generate financial reports.
| Project | Stars | Description |
|---|---|---|
| iPulse AI | – | Open Agentic Investment Research Platform with independent AI advisor reports, asset forecasts and ranked market discovery; evidence, risks and assumptions are inspectable. Hosted research software, with no trade execution. |
| TradingAgents | 82.4k | Multi-agent LLM financial trading framework. Specialized agents (fundamentals, sentiment, technical) debate and reach consensus on trades. |
| ai-hedge-fund | 59.7k | Multi-agent AI hedge fund simulator with 18 agents modeled after legendary investors (Buffett, Munger, etc.) plus specialist agents. |
| daily_stock_analysis | 40.0k | LLM-powered A/H/US stock analysis system. Multi-source market data + real-time news + LLM decision dashboard + multi-channel push notifications. |
| Anthropic Financial Services | 29.6k | Anthropic's official reference agents for finance: 10 specialized agents for earnings review, KYC screening, pitch generation, model building, and more. |
| TradingAgents-CN | 27.8k | Chinese multi-agent LLM trading framework simulating professional trading firm workflows for A/HK/US markets. |
| AI-Trader | 19.1k | Fully-automated agent-native trading platform from HKU. Cross-platform signal sync and one-click copy trading. |
| Qbot | 17.5k | AI-powered quantitative investment research platform with 300+ models from 40+ papers, fully local deployment. |
| nofx | 12.5k | AI trading terminal for stocks, commodities, forex, and crypto. 7 exchanges + 7 AI models competing in real-time. |
| Vibe-Trading | 9.6k | Personal trading agent from HKU for research, simulation, backtesting, and autonomous broker-authorized trading. |
| FinRobot | 7.2k | Open-source AI agent platform for financial applications powered by LLMs. |
| Polymarket Agents | 3.6k | Official Polymarket framework for building autonomous AI agents that trade prediction markets. |
| AutoHedge | 3.1k | Swarm-intelligence-powered autonomous hedge fund with Director, Quant, Risk, and Execution agents. |
| AlphaGen | 1.1k | Generates synergistic formulaic alpha factors via reinforcement learning (KDD 2023). |
| QuantaAlpha | 1.0k | LLM + evolutionary strategies framework for automatic alpha factor mining. |
| FinMem | 903 | LLM-based trading agent with layered memory (short/mid/long-term) for evolving market understanding. |
| oracle3 | 258 | Open-source trading engine and MCP server for prediction markets (Kalshi, Polymarket, Solana). Checks fee-adjusted no-arbitrage relations across related event contracts, runs statistical-arbitrage strategies, and trades live or on paper; the MCP server lets AI agents read order books and place paper orders. |
| QVeris | 230 | Capability routing network for AI agents to discover, inspect, and call 10,000+ real-world financial capabilities through one unified MCP protocol. |
| Superhighway M&A Research Agent | – | Python agent that researches comparable M&A transactions, deal multiples, potential acquirers, and recent deal activity via live web search. Generates structured M&A intelligence briefs for corporate development, PE analysts, and investment bankers. Pay-per-call, no signup. |
| NeuPortal | – | AI forecasting-accountability lab. Every AI forecast is locked pre-event, Bitcoin-timestamped via OpenTimestamps, and Brier-scored in public against prediction markets across crypto, macro, and sports. Hosted, closed-source service. |
| Algorier | – | Natural-language ("vibe trading") agent that turns a described trading idea into a generated, backtested and forward-tested algorithm and deploys it to the user's own broker account across forex, crypto, metals, indices, CFDs and equities; strategies can also be sold on its marketplace with the logic kept private from buyers. |
Frameworks and libraries applying deep reinforcement learning to trading, portfolio management, and market making.
| Project | Stars | Description |
|---|---|---|
| FinRL | 15.3k | The first open-source DRL framework for quantitative finance. Supports PPO, A2C, DDPG, SAC, TD3, and more. |
| TensorTrade | 6.3k | An RL framework for training, evaluating, and deploying robust trading agents. |
| ElegantRL | 4.3k | Massively parallel deep reinforcement learning using PyTorch. |
| FinRL-Trading | 3.2k | Ensemble strategy using DRL for automated stock trading (ICAIF 2020). |
| gym-anytrading | 2.4k | OpenAI Gym trading environment for reinforcement learning. |
| FinRL-Meta | 1.9k | Dynamic market environments and standardized datasets for financial RL. |
General machine learning approaches for financial prediction, alpha generation, and quantitative investment.
| Project | Stars | Description |
|---|---|---|
| Qlib | 44.0k | Microsoft's AI-oriented quantitative investment platform with full ML pipeline. Supports alpha mining, model training, and backtesting. |
| ML for Trading | 18.7k | Code for the book Machine Learning for Algorithmic Trading. Comprehensive guide on using ML to add value to trading strategies. |
| Stock-Prediction-Models | 9.4k | Collection of ML and deep learning models for stock forecasting, including transformers, LSTMs, and more. |
| ai_quant_trade | 5.7k | Comprehensive AI stock trading platform covering LLMs, factor mining, ML/DL/RL, graph networks, and HFT strategies. |
| stockpredictionai | 5.6k | Complete process for predicting stock price movements using deep learning. |
| TF Quant Finance | 5.4k | TensorFlow-based library for quantitative finance by Google. Covers options pricing, volatility models, and more. |
| QuantsPlaybook | 5.2k | Reproduces 100+ quantitative investment strategies from Chinese brokerage research reports. |
| MLFinLab | 4.8k | Implementations of methods from Advances in Financial Machine Learning by Marcos Lopez De Prado. |
| Adv_Fin_ML_Exercises | 1.9k | Experimental solutions to exercises from Advances in Financial Machine Learning. |
| AlphaPy | 1.7k | ML framework for both speculators and data scientists. Automated feature engineering and model selection. |
| fin-ml | 1.2k | Code for case studies in Machine Learning and Data Science Blueprints for Finance. |
| ml-quant-trading | 38 | Paper-backed PyTorch research stack for mask-aware multi-factor modeling, ML baselines, portfolio optimization, and vectorized backtesting. |
Frameworks for algorithmic trading, strategy backtesting, and automated trading bots.
| Project | Stars | Description |
|---|---|---|
| FreqTrade | 51.1k | Free, open-source crypto trading bot. Supports backtesting, strategy optimization, and live trading on many exchanges. |
| vnpy/VeighNa | 41.3k | Python-based open-source quant trading platform. Multi-market gateway support for stocks, futures, options, and crypto. |
| NautilusTrader | 23.3k | Production-grade Rust-native trading engine with nanosecond-resolution clock and Python strategy API. |
| Backtrader | 21.8k | Feature-rich Python framework for backtesting and live trading. Supports multiple data feeds and brokers. |
| Zipline | 19.8k | Pythonic event-driven backtesting library, originally powering the Quantopian platform. |
| QuantConnect/Lean | 19.7k | Algorithmic trading engine built for strategy research, backtesting, and live trading. Multi-asset support. |
| Hummingbot | 18.8k | Open-source crypto market making and arbitrage bot. Gateway to CeFi and DeFi exchanges. |
| Abu | 17.4k | Python quant trading system supporting US/A/HK stocks, futures, options, and Bitcoin with ML-based strategy optimization. |
| QUANTAXIS | 10.6k | Distributed quant solution for stocks/futures/options with data, backtesting, simulation, and live trading. |
| Easytrader | 9.8k | Python stock trading automation for Chinese brokers (Tonghuashun/MiniQMT/Xueqiu). |
| Jesse | 8.0k | Advanced algo-trading framework for crypto. Strategy development, backtesting, and live trading. |
| VectorBT | 7.8k | Blazing fast vectorized backtesting and trading analysis using NumPy and Pandas. |
| ManifoldBT | | High-performance Rust-powered Python backtesting: vectorized signals with realistic fills (fees, slippage, look-ahead), parameter sweeps, walk-forward, Monte Carlo. |
| RQAlpha | 6.4k | Extendable Python algorithmic backtesting and trading framework from RiceQuant. |
| WonderTrader | 6.1k | High-performance C++ core quant framework with Python layer (wtpy) for research, trading, and operations. |
| OctoBot | 6.0k | Open-source crypto trading bot for AI, Grid, DCA, and TradingView strategies on 15+ exchanges. |
| Krypto-trading-bot | 3.7k | Self-hosted C++ high-frequency crypto market-making bot with sub-millisecond order execution. |
| Hikyuu | 3.2k | C++/Python ultra-high-speed quant research framework for A-share market. |
| bt | 2.9k | Flexible backtesting framework for Python with modular algorithm stacks and portfolio-level strategy testing. |
| HFT-LOB-Trading-ML | 2.3k | High-frequency trading strategies using ML on full order book tick data. |
| barter-rs | 2.2k | Open-source Rust framework for building event-driven live-trading and backtesting systems. |
| Zipline-Reloaded | 1.8k | Community-maintained fork of Zipline, compatible with modern Python. Companion to ML for Algorithmic Trading. |
| Lumibot | 1.6k | Backtestable AI trading agents for stocks, options, crypto, futures, and forex with real broker integration. |
| AutoTrader | 1.3k | Python-based platform for development, optimization, and deployment of automated trading systems. |
| Funcat | 1.0k | Ports Tongdaxin/Tonghuashun financial formula syntax to Python for technical analysis (e.g., MA(C,5)). |
Tools and APIs for accessing financial market data — stocks, crypto, forex, and alternative data.
| Project | Stars | Description |
|---|---|---|
| OpenBB Terminal | 68.5k | Open-source investment research platform. Access stock, crypto, forex, and macro data with built-in analysis tools. |
| CCXT | 42.8k | Unified JavaScript/Python/PHP library for 100+ cryptocurrency exchange APIs. Trading and market data. |
| FinceptTerminal | 25.1k | Modern finance terminal with advanced market analytics, investment research, and economic data tools for interactive exploration. |
| yfinance | 24.0k | Download market data from Yahoo Finance. Stocks, ETFs, mutual funds, options, and more. |
| AKShare | 20.0k | Elegant Python financial data interface covering A-shares, futures, options, funds, forex, bonds, indices, and crypto from authoritative Chinese sources. |
| TuShare | 15.1k | Financial data interface for Chinese stock markets. Historical and real-time data. |
| OpenStock | 13.0k | Free open-source market platform alternative with real-time prices, alerts, and company insights. |
| StockSharp | 10.0k | Algorithmic trading and quantitative analysis platform. Connects to multiple brokers and exchanges. |
| FinanceDatabase | 7.8k | Comprehensive database of 300,000+ symbols: Equities, ETFs, Funds, Indices, Currencies, and Crypto. |
| FinanceToolkit | 4.9k | Transparent financial analysis with 150+ ratios, indicators, and performance measurements. |
| AData | 4.6k | Free open-source A-share quant trading database with multi-source data fusion and dynamic proxy. |
| Binance | 2.9k | Official Python connector for Binance APIs. Spot, futures, and market data. |
| ArcticDB | 2.4k | High-performance serverless DataFrame database by Man Group for petabyte-scale time-series and tick data. |
| EdgarTools | 2.3k | Read and analyze SEC EDGAR filings in Python (10-K, 8-K, XBRL, 13F). |
| FinRL-Meta | 1.9k | Dynamic datasets and market environments for stock, crypto, and forex. |
| Alpaca | 1.4k | Official Python SDK for Alpaca. Commission-free stock trading API with paper/live trading. |
| jqdatasdk | 1.3k | JoinQuant's Python data SDK for Chinese financial market data. |
| DeFiLlama Adapters | 1.2k | Open-source DeFi TVL calculation adapters for 2,400+ protocols across 180+ blockchains. |
| WRDS | 155 | Python interface to Wharton Research Data Services for academic financial research. |
| 0xArchive | – | Real-time and historical Hyperliquid and Lighter market data via REST and WebSocket APIs. |
| The Stall | | MCP server with 173 financial market data capabilities — stocks, ETFs, crypto, DeFi, options, SEC filings, earnings, analyst ratings, and macro indicators. Pay-per-call via x402 micropayments on Base; no API keys required. |
| AgentServices | | 54-service x402-paid API platform for AI agents — crypto market data, onchain analytics, financial intelligence, and inference endpoints. MCP server with 37 tools. Pay-per-call via x402 on Base; no API keys required. |
| S&P 500 Earnings Announcement Times | | 63,969 S&P 500 earnings announcements with the time of day, parsed from SEC 8-K item 2.02 filings, 2003-2026. CSV dataset released under CC0. |
| Eulerpool | – | Financial data API with 400+ endpoints: global equities and fundamentals, ETFs, insider trades, 13F, macro series from FRED/ECB/IMF/World Bank/OECD/BIS, crypto, FX and commodities. SDKs for Python, TypeScript, Go, Java, R, PHP, Rust and C++; hosted MCP server. Free tier 100k requests/month. |
| aikstockdata | | Korean listed-company data as static JSON and CSV with a remote MCP server: the previous trading day's settled closing prices from the government equity price feed (ETFs excluded), DART regulatory filings with the minute each one was received, earnings from periodic filings, and median market-adjusted returns after a filing grouped by filing type. No account and no API key — Non-commercial use with attribution; commercial redistribution is not permitted. |
| FXMacroData | – | Official-source macroeconomic releases for 22 currencies, each stamped with its publication time, plus release calendars, central-bank decisions, COT positioning and FX rates over REST and a hosted MCP server. USD data needs no API key. |
| Equibles | – | US stock market data over a hosted MCP server and a REST API: SEC filings with full-text search, XBRL financial statements, earnings call transcripts, insider and congressional trades, 13F holdings and option chains. Works with ChatGPT and Claude over OAuth. Free tier 100 requests/day. |
| Aperiodic | – | Point-in-time crypto microstructure, liquidity and order-flow metrics (220 metrics, 19 datasets) and raw trades, quotes and derivatives data for perpetuals on venues including Binance, OKX and Hyperliquid, as parquet via CLI, REST API and Python SDK. A preview of every dataset needs no API key. |
| Fincept MCP | – | Hosted MCP server for Fincept Terminal over Streamable HTTP with OAuth sign-in: quotes, candles, option chains, futures curves, fundamentals, economic series, SEC filings, news, backtests, paper trading and 15 quant engines (statistics, forecasting, GARCH volatility, portfolio optimisation, derivatives pricing). Requires a paid plan. |
| Tapetide | – | Indian stock market data for about 8,200 NSE and BSE listed companies over a hosted MCP server: quotes, quarterly financials, shareholding, a 326-ratio screener, FII/DII flows, option chains and company filings. Works with Claude, ChatGPT and Cursor over OAuth or a personal token; open-source MIT client on GitHub. Free plan included. |
| Financial Evidence | | Read-only MCP and Python router for public institution, money-market, and market-liquidity research, retaining source links, retrieval times, and unavailable states. Public reads require no API key. |
Libraries for computing technical indicators and performing quantitative analysis on market data.
| Project | Stars | Description |
|---|---|---|
| TA-Lib | 12.0k | Python wrapper for TA-Lib. 200+ technical analysis functions: candlestick patterns, momentum, volatility, and more. |
| ta | 5.1k | Technical analysis library using Pandas and NumPy. Includes 40+ indicators out of the box. |
| Clairvoyant | 2.4k | Identify and monitor social/historical cues for short-term stock movement. |
| Funcat | 1.0k | Tongdaxin/Tonghuashun financial formula syntax ported to Python (e.g., MA(C,5), CROSS(MA5, MA10)). |
Tools for portfolio optimization, risk analysis, asset allocation, and performance analytics.
| Project | Stars | Description |
|---|---|---|
| QuantStats | 7.2k | Portfolio analytics for quants with in-depth performance metrics, risk analytics, tear sheets, and HTML reports. |
| Pyfolio | 6.3k | Portfolio and risk analytics in Python with comprehensive tear sheet analysis. |
| PyPortfolioOpt | 5.8k | Portfolio optimization in Python. Classical efficient frontier, Black-Litterman, Hierarchical Risk Parity, and more. |
| Riskfolio-Lib | 4.2k | Portfolio optimization and quantitative strategic asset allocation. Supports 20+ risk measures. |
| ffn | 2.6k | Financial functions library for Python: performance measurement, data transformations, and portfolio analytics. |
| Empyrical | 1.5k | Common financial risk and performance metrics (Sharpe, Sortino, max drawdown). Used by Zipline and Pyfolio. |
| OLPS | 357 | Toolbox for On-Line Portfolio Selection strategies. |
Tools for extracting trading signals from text — news, social media, SEC filings, and earnings calls.
| Project | Stars | Description |
|---|---|---|
| FinGPT | 20.4k | Financial LLMs with built-in sentiment analysis capabilities via fine-tuning. |
| VADER | 5.0k | Valence Aware Dictionary and sEntiment Reasoner. Rule-based sentiment analysis tool, widely used for financial social media and news text. |
| FinBERT | 2.1k | Pre-trained NLP model for financial sentiment analysis. Fine-tuned on financial communication text. |
Core quantitative finance libraries for derivatives pricing, risk management, and financial modeling.
| Project | Stars | Description |
|---|---|---|
| gs-quant | 10.5k | Goldman Sachs Python toolkit for quantitative finance, derivatives pricing, and risk analytics. |
| QuantLib | 7.2k | The canonical open-source C++ library for quantitative finance: derivatives pricing, fixed income, and risk management. |
| RustQuant | 1.8k | Rust library for quantitative finance covering stochastic processes, options pricing, bonds, and Monte Carlo methods. |
End-to-end platforms for algorithmic trading with broker integration.
| Project | Stars | Description |
|---|---|---|
| QuantConnect/Lean | 19.7k | Algorithmic trading engine. Multi-asset support with cloud integration for backtesting and live trading. |
| StockSharp | 10.0k | Algorithmic trading for stocks, forex, crypto, and options. GUI and API-based development. |
| FinRL-X | 3.2k | AI-native modular infrastructure for quantitative trading. Unifies data processing, strategy construction, backtesting, and broker execution with RL/LLM support. Paper |
Tools for visualizing market data, trading activity, and agent performance.
| Project | Stars | Description |
|---|---|---|
| KLinePic MCP | | First-party MCP server and Agent API for turning broker or exchange fills into annotated candlestick trade-review charts. Supports A-shares, US stocks, crypto, and futures; post-trade review only, with no signals or order execution. |
| mplfinance | 4.4k | Financial data visualization using Matplotlib. Candlestick charts, OHLC, Renko, and more. |
| TradingGym | 1.9k | Toolkit for training and backtesting RL algorithms with real-time rendering. |
| Project | Stars | Description |
|---|---|---|
| NumPy | 32.1k | The fundamental package for scientific computing with Python. Foundation for most quantitative finance libraries. |
| Azure HPC | - | Azure high-performance computing for financial services — risk simulation, pricing, and analytics. |
Key academic papers on AI in finance.
Contributions are welcome! If you have suggestions for new projects or improvements:
Selection criteria: Projects should be actively maintained, well-documented, and provide genuine value to the AI for finance community. We particularly welcome:
This project is licensed under the MIT License.
Feedback: If you have any ideas or want content added to this list, feel free to open an issue or submit a PR.
29 followers · starred Sep 2026
16 followers · starred Jun 2025
