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AI in Finance

repo: georgezouq/awesome-ai-in-finance
category: Computer Science related: Generative Ai

Awesome AI in Finance

There are millions of trades made in the global financial market every day. Data grows very quickly and people are hard to understand. With the power of the latest artificial intelligence research, people analyze & trade automatically and intelligently. This list contains the research, tools and code that people use to beat the market.

[中文资源]

Contents

Agents

  • 🌟🌟 nofx - A multi-exchange Al trading platform with multi-Ai competition self-evolution, and real-time dashboard.
  • TradingAgents - Multi-Agents LLM Financial Trading Framework.
  • 🌟 FinRobot - An Open-Source AI Agent Platform for Financial Analysis using LLMs.
  • AgentFund - Decentralized crowdfunding platform for AI agents with milestone-based escrow on Base blockchain.
  • 🌟 ATLAS - Self-improving AI trading system with 25 agents, Karpathy-style autoresearch, Darwinian selection, autonomous agent spawning, and multi-cohort meta-weighting.
  • InvicTrade - AI-powered trading signals with 74% historical win rate, combining strategies from legendary investors using multi-model AI intelligence.
  • OpenFinClaw - AI-native one-person hedge fund platform. Expert agent teams turn natural language into quant strategies in 60s. Multi-market (US/HK/CN/Crypto), self-evolving strategy pipeline with community leaderboard.
  • ProfitPlay Agent Arena - Open prediction market arena where AI agents compete in real-time BTC/ETH/SOL prediction games. Python and Node.js SDKs, 9 live markets, REST + WebSocket APIs.

LLMs

  • 🌟🌟🌟 Nof1 - Benchmark designed to measure AI's investing abilities. Each model is given $10,000 of real money, in real markets, with identical prompts and input data.
  • 🌟 AI Hedge Fund - Explore the use of AI to make trading decisions.
  • 🌟🌟 MarS - A Financial Market Simulation Engine Powered by Generative Foundation Model.
  • 🌟🌟 Financial Statement Analysis with Large Language Models - GPT-4 can outperform professional financial analysts in predicting future earnings changes, generating useful narrative insights, and resulting in superior trading strategies with higher Sharpe ratios and alphas, thereby suggesting a potential central role for LLMs in financial decision-making.
  • FinRpt - Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation.
  • PIXIU - An open-source resource providing a financial large language model, a dataset with 136K instruction samples, and a comprehensive evaluation benchmark.
  • FinGPT - Provides a playground for all people interested in LLMs and NLP in Finance.
  • MACD + RSI + ADX Strategy (ChatGPT-powered) by TradeSmart - Asked ChatGPT on which indicators are the most popular for trading. We used all of the recommendations given.
  • [A ChatGPT trading algorithm delivered 500% returns in stock market. My breakdown on what this means for hedge funds and retail investors](https://www.reddit.com/r/ChatGPT/comments/13duech/a_chatgpt_trading_algorithm_delivered_500_returns/)
  • [Use chatgpt to adjust strategy parameters](https://twitter.com/0xUnicorn/status/1663413848593031170)
  • Hands-on LLMs: Train and Deploy a Real-time Financial Advisor - Train and deploy a real-time financial advisor chatbot with Falcon 7B and CometLLM.
  • ChatGPT Strategy by OctoBot - Use ChatGPT to determine which cryptocurrency to trade based on technical indicators.
  • LLMs Meet Finance - A three-stage fine-tuning pipeline (SFT → DPO → synthetic-data RL) that adapts Qwen2.5 and DeepSeek-R1 to financial tasks on the Open FinLLM Leaderboard, with findings on cross-task transfer and data scaling laws in finance.

Skills

Papers

  • The Theory of Speculation L. Bachelier, 1900 - The influences which determine the movements of the Stock Exchange are.
  • Brownian Motion in the Stock Market Osborne, 1959 - The common-stock prices can be regarded as an ensemble of decisions in statistical equilibrium.
  • [An Investigation into the Use of Reinforcement Learning Techniques within the Algorithmic Trading Domain, 2015](http://www.doc.ic.ac.uk/teaching/distinguished-projects/2015/j.cumming.pdf)
  • [A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem](https://arxiv.org/pdf/1706.10059.pdf)
  • [Reinforcement Learning for Trading, 1994](http://papers.nips.cc/paper/1551-reinforcement-learning-for-trading.pdf)
  • Dragon-Kings, Black Swans and the Prediction of Crises Didier Sornette - The power laws in the distributions of event sizes under a broad range of conditions in a large variety of systems.
  • [Financial Trading as a Game: A Deep Reinforcement Learning Approach](https://arxiv.org/pdf/1807.02787.pdf) - Deep reinforcement learning provides a framework toward end-to-end training of such trading agent.
  • [Machine Learning for Trading](https://cims.nyu.edu/~ritter/ritter2017machine.pdf) - With an appropriate choice of the reward function, reinforcement learning techniques can successfully handle the risk-averse case.
  • [Ten Financial Applications of Machine Learning, 2018](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3197726) - Slides review few important financial ML applications.
  • [FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, 2020](https://arxiv.org/abs/2011.09607) - Introduce a DRL library FinRL that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies.
  • [Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy, 2020](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) - Propose an ensemble strategy that employs deep reinforcement schemes to learn a stock trading strategy by maximizing investment return.

Courses & Books & Blogs

Strategies & Research

Time Series Data

Price and Volume process with Technology Analysis Indices

Portfolio Management

High Frequency Trading

Event Drive

Crypto Currencies Strategies

Technical Analysis

  • MarginSafe.ai - AI stock analysis platform specialized in intrinsic value and Wyckoff timing.

Lottery & Gamble

Arbitrage

Data Sources

Traditional Markets

  • 🌟 Quandl - Get millions of financial and economic dataset from hundreds of publishers via a single free API.
  • yahoo-finance - Python module to get stock data from Yahoo! Finance.
  • Tushare - TuShare is a utility for crawling historical data of China stocks.
  • Congressional Stock Brain - Free AI-powered tool that scores U.S. STOCK Act congressional trade disclosures by significance. Committee weighting, timing analysis, 537 members tracked.
  • Financial Data - Stock Market and Financial Data API.
  • StockAInsights - Institutional-grade financial statements API with AI extraction from SEC filings — not XBRL. Covers domestic and foreign filers (20-F, 6-K, 40-F), normalized quarterly and annual data.
  • ValueRay - Technical, quantitative and sentiment data for stocks and ETFs with risk metrics, peer percentiles and market regime signals. Optimized for AI/LLM agents.

Crypto Currencies

  • CryptoInscriber - A live crypto currency historical trade data blotter. Download live historical trade data from any crypto exchange.
  • CoinPulse - Python SDK for cryptocurrency portfolio tracking with real-time prices, P/L calculations, backtesting, and price alerts. Free tier: 25 req/hr.
  • Gekko-Datasets - Gekko trading bot dataset dumps. Download and use history files in SQLite format.
  • Frostbyte Crypto API - Free real-time cryptocurrency price data API. Supports BTC, ETH, SOL, and 20+ tokens. No signup or API key required for basic endpoints. JSON responses with price, 24h change, market cap, and volume.
  • CoinPaprika API - Free cryptocurrency market data API with prices, volume, market cap, and OHLCV for 7,000+ coins. No API key required. Includes MCP server for AI agent integration.
  • DexPaprika API - Free DEX and DeFi data API — real-time pool data, token prices, OHLCV, and trade history across all chains. No API key, no rate limits. Includes MCP server for AI agents.
  • Philidor - Institutional-grade DeFi risk scoring for 700+ vaults across 9 protocols and 6 chains. REST API and MCP server (Claude, Cursor, Windsurf). Deterministic 0–10 risk scores, tiers (Prime/Core/Edge), portfolio analysis, oracle monitoring. No API key required.
  • PreReason - Pre-analyzed financial market briefings optimized for AI agent consumption. 17 briefings covering BTC on-chain, macro (Fed balance sheet, M2, Treasury yields), and cross-asset correlations. Returns regime classification, trend signals, and confidence scores in markdown.
  • Satoshi API - Bitcoin fee intelligence API with 108 endpoints for fee estimates, mempool analysis, block data, and mining stats. Self-hostable, Apache 2.0.

News Data

  • WorldMonitor - AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.

Alternative Data

  • Pizzint - Pentagon Pizza Index (PizzINT) is a real-time Pentagon pizza tracker that visualizes unusual activity at Pentagon-area pizzerias. It highlights a signal that has historically aligned with late-night, high-tempo operations and breaking news.

Prediction Markets

  • Parsec API - Unified prediction market infrastructure for normalized data, execution, and live streams across Polymarket, Kalshi, Opinion, Limitless, and PredictFun. MCP server for AI agent trading. Generous free tier.
  • PolyMind - Real-time Polymarket trading alerts with multi-AI analysis (Groq, Claude, Gemini). Track whale bets, volume spikes, coordinated wallets, and 12 signal types. Free tier available.

Research Tools

  • Synthical - AI-powered collaborative environment for Research.
  • 🌟🌟 TensorTrade - Trade efficiently with reinforcement learning.
  • ML-Quant - Quant resources from ArXiv (sanity), SSRN, RePec, Journals, Podcasts, Videos, and Blogs.
  • JAQS - An open source quant strategies research platform.
  • pyfolio - Portfolio and risk analytics in Python.
  • alphalens - Performance analysis of predictive (alpha) stock factors.
  • empyrical - Common financial risk and performance metrics. Used by Zipline and pyfolio.
  • zvt - Zero vector trader.
  • CongressionalStockBrain - AI-powered tool that ingests U.S. STOCK Act congressional trade disclosures and converts them into machine-scored signals for retail investors.
  • WFGY – Open source framework for debugging and stress testing LLM agents and RAG pipelines. Includes a 16 mode failure map and long-horizon stress tests that are useful for financial research agents.
  • ChainPulse - AI-powered Bitcoin network intelligence CLI for natural language queries on mempool, fees, blocks, and mining analysis.
  • CRNG - Contingency RNG, generates random numbers with real market fat tails (K=5-220) and volatility clustering. Matches 86% of real market metrics vs 14% for NumPy. Includes regime detector.

Trading System

For Back Test & Live trading

Traditional Market

System

  • the0 - Self-hosted execution engine for algorithmic trading bots. Supports Python, TypeScript, Rust, C++, C#, Scala, and Haskell. Each bot runs in an isolated container with scheduled or streaming execution.
  • 🌟🌟🌟 OpenBB - AI-powered opensource research and analytics workspace.
  • 🌟🌟 zipline - A python algorithmic trading library.
  • 🌟 TradingView - Get real-time information and market insights.
  • rqalpha - A extendable, replaceable Python algorithmic backtest & trading framework.
  • backtrader - Python backtesting library for trading strategies.
  • kungfu - Kungfu Master trading system.
  • finclaw - AI-native quantitative trading engine with 484 alpha factors, genetic algorithm strategy evolution, walk-forward backtesting and paper trading. Supports A-shares, crypto, and MCP server for AI agent integration.
  • lean - Algorithmic trading engine built for easy strategy research, backtesting and live trading.

Combine & Rebuild

Crypto Currencies

Plugins

TA Lib

  • pandas_talib - A Python Pandas implementation of technical analysis indicators.
  • finta - Common financial technical indicators implemented in Python-Pandas (70+ indicators).
  • tulipnode - Official Node.js wrapper for Tulip Indicators. Provides over 100 technical analysis overlay and indicator functions.
  • techan.js - A visual, technical analysis and charting (Candlestick, OHLC, indicators) library built on D3.

Exchange API

Do it in real world!

  • Trade It - MCP for trading on common brokerages (Robinhood, ETrade, Schwab, Webull, Public, tastytrade, Coinbase, Kraken so far)
  • IbPy - Python API for the Interactive Brokers on-line trading system.
  • HuobiFeeder - Connect HUOBIPRO exchange, get market/historical data for ABAT trading platform backtest analysis and live trading.
  • ctpwrapper - Shanghai future exchange CTP api.
  • PENDAX - Javascript SDK for Trading/Data API and Websockets for cryptocurrency exchanges like FTX, FTXUS, OKX, Bybit, & More

Framework

Visualizing

GYM Environment

  • 🌟 TradingGym - Trading and Backtesting environment for training reinforcement learning agent.
  • TradzQAI - Trading environment for RL agents, backtesting and training.
  • btgym - Scalable, event-driven, deep-learning-friendly backtesting library.

Articles

Others

  • zipline-tensorboard - TensorBoard as a Zipline dashboard.
  • gekko-quasar-ui - An UI port for gekko trading bot using Quasar framework.
  • Floom AI gateway and marketplace for developers, enables streamlined integration and least volatile approach of AI features into products
  • LendTrain - AI-native mortgage refinance plugin for Claude Code with real-time institutional pricing, state-specific closing costs, FHA Streamline/VA IRRRL detection, and regulatory compliance. Uses MCP (Model Context Protocol) to connect LLMs to live mortgage pricing.
  • Registry Broker - Universal AI agent index for discovering trading agents across Virtuals Protocol, NANDA, MCP, and other registries.
  • KeepRule - AI-powered investment discipline tracking platform with curated principles from 26 legendary investors including Buffett, Munger, and Dalio. Helps traders maintain rational decision-making.
  • Philidor - DeFi risk infrastructure for AI agents: MCP server and REST API for vault risk scores, portfolio analysis, and due diligence. No API key. 700+ vaults, 9 protocols, 6 chains.
  • Hindsight - State-of-the-art long-term memory for AI agents by Vectorize. Open source, self-hostable, with integrations for LangChain, CrewAI, MCP, and more. Gives financial trading agents persistent memory across sessions.

Other Resource

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