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visibility: public
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# AI in Finance

**repo:** [georgezouq/awesome-ai-in-finance](https://github.com/georgezouq/awesome-ai-in-finance)  
**category:** [[computer-science|Computer Science]]
**related:** [[generative-ai|Generative Ai]]

---

# Awesome AI in Finance [](https://discord.gg/cqaUf47)

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](./chinese.md)]

## Contents

- [Agents](#agents)
- [LLMs](#llms)
- [Papers](#papers)
- [Courses & Books](#courses--books)
- [Strategies & Research](#strategies--research)
  - [Time Series Data](#time-series-data)
  - [Portfolio Management](#portfolio-management)
  - [High Frequency Trading](#high-frequency-trading)
  - [Event Drive](#event-drive)
  - [Crypto Currencies Strategies](#crypto-currencies-strategies)
  - [Technical Analysis](#technical-analysis)
  - [Lottery & Gamble](#lottery--gamble)
  - [Arbitrage](#arbitrage)
- [Data Sources](#data-sources)
- [Research Tools](#research-tools)
- [Trading System](#trading-system)
- [TA Lib](#ta-lib)
- [Exchange API](#exchange-api)
- [Articles](#articles)
- [Others](#others)

## Agents

- 🌟🌟 [nofx](https://github.com/NoFxAiOS/nofx) - A multi-exchange Al trading platform with multi-Ai competition self-evolution, and real-time dashboard.
- [TradingAgents](https://github.com/TauricResearch/TradingAgents) - Multi-Agents LLM Financial Trading Framework.
- 🌟 [FinRobot](https://github.com/AI4Finance-Foundation/FinRobot) - An Open-Source AI Agent Platform for Financial Analysis using LLMs.
- [AgentFund](https://github.com/RioBot-Grind/agentfund) - Decentralized crowdfunding platform for AI agents with milestone-based escrow on Base blockchain.
- 🌟 [ATLAS](https://github.com/chrisworsey55/atlas-gic) - Self-improving AI trading system with 25 agents, Karpathy-style autoresearch, Darwinian selection, autonomous agent spawning, and multi-cohort meta-weighting.
- [InvicTrade](https://invictrade.com) - AI-powered trading signals with 74% historical win rate, combining strategies from legendary investors using multi-model AI intelligence.
- [OpenFinClaw](https://github.com/cryptoSUN2049/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](https://github.com/jarvismaximum-hue/profitplay-starter) - Open prediction market arena where AI agents compete in real-time BTC/ETH/SOL prediction games. [Python](/@harrisonqian/awesome/wiki/programming-languages/python) and [Node.js](/@harrisonqian/awesome/wiki/platforms/node-js) SDKs, 9 live markets, [REST](/@harrisonqian/awesome/wiki/miscellaneous/rest) + WebSocket APIs.

## LLMs

- 🌟🌟🌟 [Nof1](https://thenof1.com/) - 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](https://github.com/virattt/ai-hedge-fund) - Explore the use of AI to make trading decisions.
- 🌟🌟 [MarS](https://github.com/microsoft/MarS) - A Financial Market Simulation Engine Powered by Generative Foundation Model.
- 🌟🌟 [Financial Statement Analysis with Large Language Models](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4835311) - 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](https://arxiv.org/abs/2511.07322) - Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation.
- [PIXIU](https://github.com/chancefocus/PIXIU) - An open-source resource providing a financial large language model, a dataset with 136K instruction samples, and a comprehensive evaluation benchmark.
- [FinGPT](https://github.com/AI4Finance-Foundation/FinGPT) - Provides a playground for all people interested in LLMs and NLP in Finance.
- [MACD + RSI + ADX Strategy (ChatGPT-powered) by TradeSmart](https://www.tradingview.com/script/GxkUyJKW-MACD-RSI-ADX-Strategy-[ChatGPT](/@harrisonqian/awesome/wiki/miscellaneous/chatgpt)-powered-by-TradeSmart/ ) - Asked [ChatGPT](/@harrisonqian/awesome/wiki/miscellaneous/chatgpt) on which indicators are the most popular for trading. We used all of the recommendations given.
- [A [ChatGPT](/@harrisonqian/awesome/wiki/miscellaneous/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](/@harrisonqian/awesome/wiki/miscellaneous/chatgpt) to adjust strategy parameters](https://twitter.com/0xUnicorn/status/1663413848593031170)
- [Hands-on LLMs: Train and Deploy a Real-time Financial Advisor](https://github.com/iusztinpaul/hands-on-llms) - Train and deploy a real-time financial advisor chatbot with Falcon 7B and CometLLM.
- [ChatGPT Strategy by OctoBot](https://blog.octobot.online/trading-using-chat-gpt) - Use [ChatGPT](/@harrisonqian/awesome/wiki/miscellaneous/chatgpt) to determine which cryptocurrency to trade based on technical indicators.
- [LLMs Meet Finance](https://arxiv.org/abs/2504.13125) - 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

- [XVARY Stock Research](https://github.com/xvary-research/claude-code-stock-analysis-skill) — [Claude Code](/@harrisonqian/awesome/wiki/miscellaneous/claude-code) skill for public SEC EDGAR + market data: `/analyze`, `/score`, `/compare`. MIT.

## Papers

- [The Theory of Speculation L. Bachelier, 1900](http://www.[radio](/@harrisonqian/awesome/wiki/miscellaneous/radio).goldseek.com/bachelier-thesis-theory-of-speculation-en.pdf) - The influences which determine the movements of the Stock Exchange are.
- [Brownian Motion in the Stock Market Osborne, 1959](http://m.e-m-h.org/Osbo59.pdf) - The common-stock prices can be regarded as an ensemble of decisions in statistical equilibrium.
- [An Investigation into the Use of Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/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](/@harrisonqian/awesome/wiki/programming-languages/learning) Framework for the Financial Portfolio Management Problem](https://arxiv.org/pdf/1706.10059.pdf)
- [Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/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](https://arxiv.org/pdf/0907.4290.pdf) - 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](/@harrisonqian/awesome/wiki/programming-languages/learning) Approach](https://arxiv.org/pdf/1807.02787.pdf) - Deep reinforcement [learning](/@harrisonqian/awesome/wiki/programming-languages/learning) provides a framework toward end-to-end training of such trading agent.
- [Machine [Learning](/@harrisonqian/awesome/wiki/programming-languages/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](/@harrisonqian/awesome/wiki/computer-science/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](/@harrisonqian/awesome/wiki/programming-languages/learning) Library for Automated [Stock Trading](/@harrisonqian/awesome/wiki/miscellaneous/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](/@harrisonqian/awesome/wiki/miscellaneous/stock-trading) strategies.
- [Deep Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/learning) for Automated [Stock Trading](/@harrisonqian/awesome/wiki/miscellaneous/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

- 🌟 [QuantResearch](https://github.com/letianzj/QuantResearch) - Quantitative analysis, strategies and backtests https://letianzj.[github](/@harrisonqian/awesome/wiki/development-environment/github).io/
- [NYU: Overview of Advanced Methods of Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/learning) in Finance](https://www.coursera.org/learn/advanced-methods-reinforcement-learning-finance/home/welcome)
- [Udacity: [Artificial Intelligence](/@harrisonqian/awesome/wiki/theory/artificial-intelligence) for Trading](https://www.udacity.com/course/ai-for-trading--nd880)
- [AI in Finance](https://cfte.education/) - Learn Fintech Online.
- [Advanced-Deep-Trading](https://github.com/Rachnog/Advanced-Deep-Trading) - Experiments based on "Advances in financial [machine learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning)" book.
- [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-[Learning](/@harrisonqian/awesome/wiki/programming-languages/learning)-Marcos-ebook/dp/B079KLDW21/ref=sr_1_1?s=books&ie=UTF8&qid=1541717436&sr=1-1) - Using advanced ML solutions to overcome real-world investment problems.
- [Build Financial Software with Generative AI](https://www.manning.com/books/build-financial-software-with-generative-ai?ar=false&lpse=B&) - Book about how to build financial software hands-on using [generative AI](/@harrisonqian/awesome/wiki/computer-science/generative-ai) tools like [ChatGPT](/@harrisonqian/awesome/wiki/miscellaneous/chatgpt) and Copilot.
- [Financial AI in Practice](https://www.manning.com/books/financial-ai-in-practice) - A book about creating profitable, regulation-compliant financial applications.
- [Investing for Programmers](https://www.manning.com/books/investing-for-programmers) - A book about maximizing your portfolio, analyzing markets, and making data-driven investment decisions using [Python](/@harrisonqian/awesome/wiki/programming-languages/python) and [generative AI](/@harrisonqian/awesome/wiki/computer-science/generative-ai)
- [Mastering [Python](/@harrisonqian/awesome/wiki/programming-languages/python) for Finance](https://github.com/jamesmawm/mastering-python-for-finance-second-edition) - Sources codes for: Mastering [Python](/@harrisonqian/awesome/wiki/programming-languages/python) for Finance, Second Edition.
- [MLSys-NYU-2022](https://github.com/jacopotagliabue/MLSys-NYU-2022/tree/main) - Slides, scripts and materials for the [Machine Learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning) in Finance course at NYU Tandon, 2022.
- [Train and Deploy a Serverless API to predict crypto prices](https://github.com/Paulescu/hands-on-train-and-deploy-ml) - In this tutorial you won't build an ML system that will make you rich. But you will master the MLOps [frameworks](/@harrisonqian/awesome/wiki/front-end-development/frameworks) and tools you need to build ML systems that, together with tons of experimentation, can take you there.
- [KeepRule](https://keeprule.com) - AI-powered investment discipline platform with principles from 26 legendary investors including Buffett, Munger, and Dalio.

## Strategies & Research

### Time Series Data

Price and Volume process with Technology Analysis Indices

- 🌟🌟 [stockpredictionai](https://github.com/borisbanushev/stockpredictionai) - A complete process for predicting stock price movements.
- 🌟 [Personae](https://github.com/Ceruleanacg/Personae) - Implements and environment of Deep Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/learning) & Supervised Learning for Quantitative Trading.
- 🌟 [Ensemble-Strategy](https://github.com/AI4Finance-LLC/Deep-Reinforcement-[Learning](/@harrisonqian/awesome/wiki/programming-languages/learning)-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020) - Deep Reinforcement Learning for Automated [Stock Trading](/@harrisonqian/awesome/wiki/miscellaneous/stock-trading).
- [FinRL](https://github.com/AI4Finance-LLC/FinRL-Library) - A Deep Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/learning) Library for Automated [Stock Trading](/@harrisonqian/awesome/wiki/miscellaneous/stock-trading) in Quantitative Finance.
- [AutomatedStockTrading-DeepQ-Learning](https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning) - Build a Deep Q-[learning](/@harrisonqian/awesome/wiki/programming-languages/learning) reinforcement agent model as automated trading robot.
- [tf_deep_rl_trader](https://github.com/miroblog/tf_deep_rl_trader) - Trading environment(OpenAI Gym) + PPO(TensorForce).
- [trading-gym](https://github.com/6-Billionaires/trading-gym) - Trading agent to train with episode of short term trading itself.
- [trading-rl](https://github.com/Kostis-S-Z/trading-rl) - Deep Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/learning) for Financial Trading using Price Trailing.
- [deep_rl_trader](https://github.com/miroblog/deep_rl_trader) - Trading environment(OpenAI Gym) + DDQN (Keras-RL).
- [Quantitative-Trading](https://github.com/Ceruleanacg/Quantitative-Trading) - [Papers](/@harrisonqian/awesome/wiki/computer-science/papers) and code implementing Quantitative-Trading.
- [gym-trading](https://github.com/hackthemarket/gym-trading) - Environment for reinforcement-[learning](/@harrisonqian/awesome/wiki/programming-languages/learning) algorithmic trading models.
- [zenbrain](https://github.com/carlos8f/zenbrain) - A framework for machine-[learning](/@harrisonqian/awesome/wiki/programming-languages/learning) [bots](/@harrisonqian/awesome/wiki/miscellaneous/bots).
- [DeepLearningNotes](https://github.com/AlphaSmartDog/DeepLearningNotes) - [Machine learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning) in quant analysis.
- [stock_market_reinforcement_learning](https://github.com/kh-kim/stock_market_reinforcement_learning) - Stock market trading OpenAI Gym environment with Deep Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/learning) using Keras.
- [Chaos Genius](https://github.com/chaos-genius/chaos_genius) - ML powered [analytics](/@harrisonqian/awesome/wiki/miscellaneous/analytics) engine for outlier/anomaly detection and root cause analysis..
- [mlforecast](https://github.com/Nixtla/mlforecast) - Scalable [machine learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning) based time series forecasting.
- [patternity](https://github.com/quantium-ai/patternity) - Deterministic algorithm for stock price prediction, focusing on pattern recognition in historical data.
- [Quantium Research](https://github.com/quantium-ai/research) - Research experiments exploring uncommon quant techniques.

### Portfolio Management

- [Deep-Reinforcement-Stock-Trading](https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading) - A light-weight deep reinforcement [learning](/@harrisonqian/awesome/wiki/programming-languages/learning) framework for portfolio management.
- [qtrader](https://github.com/filangel/qtrader) - Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/learning) for portfolio management.
- [PGPortfolio](https://github.com/ZhengyaoJiang/PGPortfolio) - A Deep Reinforcement [Learning](/@harrisonqian/awesome/wiki/programming-languages/learning) framework for the financial portfolio management problem.
- [DeepDow](https://github.com/jankrepl/deepdow) - Portfolio optimization with [deep learning](/@harrisonqian/awesome/wiki/computer-science/deep-learning).
- [skfolio](https://github.com/skfolio/skfolio) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) library for portfolio optimization built on top of scikit-learn.

### High Frequency Trading

- [High-Frequency-Trading-Model-with-IB](https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB) - A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion.
- 🌟 [SGX-Full-OrderBook-Tick-Data-Trading-Strategy](https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy) - Solutions for high-frequency trading (HFT) strategies using [data science](/@harrisonqian/awesome/wiki/programming-languages/data-science) approaches (Machine Learning) on Full Orderbook Tick Data.
- [HFT_Bitcoin](https://github.com/ghgr/HFT_Bitcoin) - Analysis of High Frequency Trading on [Bitcoin](/@harrisonqian/awesome/wiki/decentralized-systems/bitcoin) exchanges.

### Event Drive

- 🌟🌟 [stockpredictionai](https://github.com/borisbanushev/stockpredictionai) - Complete process for predicting stock price movements.
- 🌟 [trump2cash](https://github.com/maxbbraun/trump2cash) - A [stock trading](/@harrisonqian/awesome/wiki/miscellaneous/stock-trading) bot powered by Trump tweets.

### Crypto Currencies Strategies

- [LSTM-Crypto-Price-Prediction](https://github.com/SC4RECOIN/LSTM-Crypto-Price-Prediction) - Predicting price trends in crypto markets using an LSTM-RNN for trading.
- [tforce_btc_trader](https://github.com/lefnire/tforce_btc_trader) - TensorForce [Bitcoin](/@harrisonqian/awesome/wiki/decentralized-systems/bitcoin) trading bot.
- [Tensorflow-NeuroEvolution-Trading-Bot](https://github.com/SC4RECOIN/Tensorflow-NeuroEvolution-Trading-Bot) - A population model that trade cyrpto and breed and mutate iteratively.
- [gekkoga](https://github.com/gekkowarez/gekkoga) - Genetic algorithm for solving optimization of trading strategies using Gekko.
- [Gekko_ANN_Strategies](https://github.com/markchen8717/Gekko_ANN_Strategies) - ANN trading strategies for the Gekko trading bot.
- [gekko-neuralnet](https://github.com/zschro/gekko-neuralnet) - Neural network strategy for Gekko.
- [bitcoin_prediction](https://github.com/llSourcell/bitcoin_prediction) - Code for "[Bitcoin](/@harrisonqian/awesome/wiki/decentralized-systems/bitcoin) Prediction" by Siraj Raval on YouTube.

### Technical Analysis

- [QTradeX](https://github.com/squidKid-deluxe/QTradeX-Algo-Trading-SDK) - A powerful and flexible [Python](/@harrisonqian/awesome/wiki/programming-languages/python) framework for designing, backtesting, optimizing, and deploying algotrading [bots](/@harrisonqian/awesome/wiki/miscellaneous/bots)
- [quant-trading](https://github.com/je-suis-tm/quant-trading) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) quantitative trading strategies.
- [Gekko-Bot-Resources](https://github.com/cloggy45/Gekko-Bot-Resources) - Gekko bot resources.
- [gekko_tools](https://github.com/tommiehansen/gekko_tools) - Gekko strategies, tools etc.
- [gekko RSI_WR](https://github.com/zzmike76/gekko) - Gekko RSI_WR strategies.
- [gekko HL](https://github.com/mounirlabaied/gekko-strat-hl) - Calculate down peak and trade on.
- [EthTradingAlgorithm](https://github.com/Philipid3s/EthTradingAlgorithm) - [Ethereum](/@harrisonqian/awesome/wiki/decentralized-systems/ethereum) trading algorithm using [Python](/@harrisonqian/awesome/wiki/programming-languages/python) 3.5 and the library ZipLine.
- [gekko_trading_stuff](https://github.com/thegamecat/gekko-trading-stuff) - [Awesome](/@harrisonqian/awesome/wiki/miscellaneous/awesome) crypto currency trading platform.
- [forex.analytics](https://github.com/mkmarek/forex.analytics) - [Node.js](/@harrisonqian/awesome/wiki/platforms/node-js) native library performing technical analysis over an OHLC dataset with use of genetic algorithmv.
- [Bitcoin_MACD_Strategy](https://github.com/VermeirJellen/Bitcoin_MACD_Strategy) - [Bitcoin](/@harrisonqian/awesome/wiki/decentralized-systems/bitcoin) MACD crossover trading strategy backtest.
- [crypto-signal](https://github.com/CryptoSignal/crypto-signal) - Automated crypto trading & technical analysis (TA) bot for Bittrex, Binance, GDAX, and more.
- [Gekko-Strategies](https://github.com/xFFFFF/Gekko-Strategies) - Strategies to Gekko trading bot with backtests results and some useful tools.
- [gekko-gannswing](https://github.com/johndoe75/gekko-gannswing) - Gann's Swing trade strategy for Gekko trade bot.
- [Chartscout](https://chartscout.io) - Real-time cryptocurrency chart pattern detection with automated alerts using pattern recognition [algorithms](/@harrisonqian/awesome/wiki/theory/algorithms)
* [MarginSafe.ai](https://marginsafe.ai) - AI stock analysis platform specialized in intrinsic value and Wyckoff timing.

### Lottery & Gamble

- [LotteryPredict](https://github.com/chengstone/LotteryPredict) - Use LSTM to predict lottery.

### Arbitrage

- [ArbitrageBot](https://github.com/BatuhanUsluel/ArbitrageBot) - Arbitrage bot that currently works on bittrex & poloniex.
- [r2](https://github.com/bitrinjani/r2) - Automatic arbitrage trading system powered by [Node.js](/@harrisonqian/awesome/wiki/platforms/node-js) + TypeScript.
- [cryptocurrency-arbitrage](https://github.com/manu354/cryptocurrency-arbitrage) - A crypto currency arbitrage opportunity calculator. Over 800 currencies and 50 markets.
- [bitcoin-arbitrage](https://github.com/maxme/bitcoin-arbitrage) - [Bitcoin](/@harrisonqian/awesome/wiki/decentralized-systems/bitcoin) arbitrage opportunity detector.
- [blackbird](https://github.com/butor/blackbird) - Long / short market-neutral strategy.

## Data Sources

#### Traditional Markets

- 🌟 [Quandl](https://www.quandl.com/tools/api) - Get millions of financial and economic dataset from hundreds of publishers via a single free API.
- [yahoo-finance](https://github.com/lukaszbanasiak/yahoo-finance) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) module to get stock data from Yahoo! Finance.
- [Tushare](https://github.com/waditu/tushare) - TuShare is a utility for crawling historical data of China stocks.
- [Congressional Stock Brain](https://congressionalstockbrain.com) - Free AI-powered tool that scores U.S. STOCK Act congressional trade disclosures by significance. Committee weighting, timing analysis, 537 members tracked.
- [Financial Data](https://financialdata.net/) - Stock Market and Financial Data API.
- [StockAInsights](https://stockainsights.com) - 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](https://www.valueray.com/api) - 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](https://github.com/Optixal/CryptoInscriber) - A live crypto currency historical trade data blotter. Download live historical trade data from any crypto exchange.
- [CoinPulse](https://github.com/soutone/coinpulse-python) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) SDK for cryptocurrency portfolio tracking with real-time prices, P/L calculations, backtesting, and price alerts. Free tier: 25 req/hr.
- [Gekko-Datasets](https://github.com/xFFFFF/Gekko-Datasets) - Gekko trading bot dataset dumps. Download and use history files in SQLite format.
- [Frostbyte Crypto API](https://agent-gateway-kappa.vercel.app) - Free real-time cryptocurrency price data API. Supports BTC, ETH, SOL, and 20+ tokens. No signup or API key required for basic endpoints. [JSON](/@harrisonqian/awesome/wiki/miscellaneous/json) responses with price, 24h change, market cap, and volume.
- [CoinPaprika API](https://api.coinpaprika.com) - 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](/@harrisonqian/awesome/wiki/platforms/integration).
- [DexPaprika API](https://api.dexpaprika.com) - 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](https://docs.philidor.io/docs) - Institutional-grade DeFi risk scoring for 700+ vaults across 9 protocols and 6 chains. [REST](/@harrisonqian/awesome/wiki/miscellaneous/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](https://www.prereason.com) - 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](/@harrisonqian/awesome/wiki/miscellaneous/markdown).
- [Satoshi API](https://github.com/Bortlesboat/bitcoin-api) - [Bitcoin](/@harrisonqian/awesome/wiki/decentralized-systems/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](https://github.com/koala73/worldmonitor) - AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.

#### Alternative Data

- [Pizzint](https://www.pizzint.watch/) - 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](https://docs.parsecapi.com) - 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](https://polyminds.netlify.app/) - 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](https://synthical.com) - AI-powered collaborative environment for Research.
- 🌟🌟 [TensorTrade](https://github.com/tensortrade-org/tensortrade) - Trade efficiently with reinforcement [learning](/@harrisonqian/awesome/wiki/programming-languages/learning).
- [ML-Quant](https://www.ml-quant.com/) - Quant resources from ArXiv (sanity), SSRN, RePec, Journals, [Podcasts](/@harrisonqian/awesome/wiki/entertainment/podcasts), Videos, and Blogs.
- [JAQS](https://github.com/quantOS-org/JAQS) - An open source quant strategies research platform.
- [pyfolio](https://github.com/quantopian/pyfolio) - Portfolio and risk [analytics](/@harrisonqian/awesome/wiki/miscellaneous/analytics) in [Python](/@harrisonqian/awesome/wiki/programming-languages/python).
- [alphalens](https://github.com/quantopian/alphalens) - Performance analysis of predictive (alpha) stock factors.
- [empyrical](https://github.com/quantopian/empyrical) - Common financial risk and performance metrics. Used by Zipline and pyfolio.
- [zvt](https://github.com/zvtvz/zvt) - Zero vector trader.
- [CongressionalStockBrain](https://congressionalstockbrain.com) - AI-powered tool that ingests U.S. STOCK Act congressional trade disclosures and converts them into machine-scored signals for retail investors.
- [WFGY](https://github.com/onestardao/WFGY) – Open source framework for debugging and stress [testing](/@harrisonqian/awesome/wiki/testing/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](https://github.com/Bortlesboat/chainpulse) - AI-powered [Bitcoin](/@harrisonqian/awesome/wiki/decentralized-systems/bitcoin) network intelligence CLI for natural language queries on mempool, fees, blocks, and mining analysis.
- [CRNG](https://github.com/brotto/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](https://github.com/alexanderwanyoike/the0) - Self-hosted execution engine for algorithmic trading [bots](/@harrisonqian/awesome/wiki/miscellaneous/bots). Supports [Python](/@harrisonqian/awesome/wiki/programming-languages/python), TypeScript, [Rust](/@harrisonqian/awesome/wiki/programming-languages/rust), C++, C#, [Scala](/@harrisonqian/awesome/wiki/programming-languages/scala), and [Haskell](/@harrisonqian/awesome/wiki/programming-languages/haskell). Each bot runs in an isolated container with scheduled or [streaming](/@harrisonqian/awesome/wiki/big-data/streaming) execution.
- 🌟🌟🌟 [OpenBB](https://github.com/OpenBB-finance/OpenBB) - AI-powered opensource research and [analytics](/@harrisonqian/awesome/wiki/miscellaneous/analytics) workspace.
- 🌟🌟 [zipline](https://github.com/quantopian/zipline) - A [python](/@harrisonqian/awesome/wiki/programming-languages/python) algorithmic trading library.
- 🌟 [TradingView](http://tradingview.com/) - Get real-time information and market insights.
- [rqalpha](https://github.com/ricequant/rqalpha) - A extendable, replaceable [Python](/@harrisonqian/awesome/wiki/programming-languages/python) algorithmic backtest & trading framework.
- [backtrader](https://github.com/backtrader/backtrader) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) backtesting library for trading strategies.
- [kungfu](https://github.com/taurusai/kungfu) - Kungfu Master trading system.
- [finclaw](https://github.com/NeuZhou/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](/@harrisonqian/awesome/wiki/platforms/integration).
- [lean](https://github.com/QuantConnect/Lean) - Algorithmic trading engine built for easy strategy research, backtesting and live trading.

**Combine & Rebuild**

- [pylivetrader](https://github.com/alpacahq/pylivetrader) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) live trade execution library with zipline interface.
- [CoinMarketCapBacktesting](https://github.com/JimmyWuMadchester/CoinMarketCapBacktesting) - As backtest [frameworks](/@harrisonqian/awesome/wiki/front-end-development/frameworks) for coin trading strategy.

### Crypto Currencies

- [zenbot](https://github.com/DeviaVir/zenbot) - Command-line crypto currency trading bot using [Node.js](/@harrisonqian/awesome/wiki/platforms/node-js) and [MongoDB](/@harrisonqian/awesome/wiki/databases/mongodb).
- [bot18](https://github.com/carlos8f/bot18) - High-frequency crypto currency trading bot developed by Zenbot.
- [magic8bot](https://github.com/magic8bot/magic8bot) - Crypto currency trading bot using [Node.js](/@harrisonqian/awesome/wiki/platforms/node-js) and [MongoDB](/@harrisonqian/awesome/wiki/databases/mongodb).
- [catalyst](https://github.com/enigmampc/catalyst) - An algorithmic trading library for Crypto-Assets in [python](/@harrisonqian/awesome/wiki/programming-languages/python).
- [QuantResearchDev](https://github.com/mounirlabaied/QuantResearchDev) - Quant Research dev & Traders open source project.
- [MACD](https://github.com/sudoscripter/MACD) - Zenbot MACD Auto-Trader.
- [abu](https://github.com/bbfamily/abu) - A quant trading system base on [python](/@harrisonqian/awesome/wiki/programming-languages/python).

#### Plugins

- [CoinMarketCapBacktesting](https://github.com/JimmyWuMadchester/CoinMarketCapBacktesting) - Tests bt and Quantopian Zipline as backtesting [frameworks](/@harrisonqian/awesome/wiki/front-end-development/frameworks) for coin trading strategy.
- [Gekko-BacktestTool](https://github.com/xFFFFF/Gekko-BacktestTool) - Batch backtest, import and strategy params optimalization for Gekko Trading Bot.

## TA Lib

- [pandas_talib](https://github.com/femtotrader/pandas_talib) - A [Python](/@harrisonqian/awesome/wiki/programming-languages/python) Pandas implementation of technical analysis indicators.
- [finta](https://github.com/peerchemist/finta) - Common financial technical indicators implemented in [Python](/@harrisonqian/awesome/wiki/programming-languages/python)-Pandas (70+ indicators).
- [tulipnode](https://github.com/TulipCharts/tulipnode) - Official [Node.js](/@harrisonqian/awesome/wiki/platforms/node-js) wrapper for Tulip Indicators. Provides over 100 technical analysis overlay and indicator functions.
- [techan.js](https://github.com/andredumas/techan.js) - A visual, technical analysis and [charting](/@harrisonqian/awesome/wiki/front-end-development/charting) (Candlestick, OHLC, indicators) library built on D3.

## Exchange API

Do it in real world!

- [Trade It](https://docs.tradeit.app/mcp) - MCP for trading on common brokerages (Robinhood, ETrade, Schwab, Webull, Public, tastytrade, Coinbase, Kraken so far)
- [IbPy](https://github.com/blampe/IbPy) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) API for the Interactive Brokers on-line trading system.
- [HuobiFeeder](https://github.com/mmmaaaggg/HuobiFeeder) - Connect HUOBIPRO exchange, get market/historical data for ABAT trading platform backtest analysis and live trading.
- [ctpwrapper](https://github.com/nooperpudd/ctpwrapper) - Shanghai future exchange CTP api.
- [PENDAX](https://github.com/CompendiumFi/PENDAX-SDK) - [Javascript](/@harrisonqian/awesome/wiki/programming-languages/javascript) SDK for Trading/Data API and Websockets for cryptocurrency exchanges like FTX, FTXUS, OKX, Bybit, & More

### Framework

- [tf-quant-finance](https://github.com/google/tf-quant-finance) - High-performance [TensorFlow](/@harrisonqian/awesome/wiki/computer-science/tensorflow) library for quantitative finance.

### Visualizing

- [playground](https://github.com/tensorflow/playground) - Play with neural networks.
- [netron](https://github.com/lutzroeder/netron) - Visualizer for [deep learning](/@harrisonqian/awesome/wiki/computer-science/deep-learning) and [machine learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning) models.
- [KLineChart](https://github.com/liihuu/KLineChart) - Highly customizable professional lightweight financial charts

### GYM Environment

- 🌟 [TradingGym](https://github.com/Yvictor/TradingGym) - Trading and Backtesting environment for training reinforcement [learning](/@harrisonqian/awesome/wiki/programming-languages/learning) agent.
- [TradzQAI](https://github.com/kkuette/TradzQAI) - Trading environment for RL agents, backtesting and training.
- [btgym](https://github.com/Kismuz/btgym) - Scalable, event-driven, deep-[learning](/@harrisonqian/awesome/wiki/programming-languages/learning)-friendly backtesting library.

## Articles

- [The-Economist](https://github.com/nailperry-zd/The-Economist) - The Economist.
- [nyu-mlif-notes](https://github.com/wizardforcel/nyu-mlif-notes) - NYU [machine learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning) in finance notes.
- [Using LSTMs to Turn Feelings Into Trades](https://www.quantopian.com/posts/watch-our-webinar-buying-happiness-using-lstms-to-turn-feelings-into-trades-now?utm_source=forum&utm_medium=twitter&utm_campaign=sentiment-analysis)

## Others

- [zipline-tensorboard](https://github.com/jimgoo/zipline-tensorboard) - TensorBoard as a Zipline dashboard.
- [gekko-quasar-ui](https://github.com/H256/gekko-quasar-ui) - An UI port for gekko trading bot using Quasar framework.
- [Floom](https://github.com/FloomAI/Floom) AI gateway and marketplace for developers, enables streamlined [integration](/@harrisonqian/awesome/wiki/platforms/integration) and least volatile approach of AI features into products
- [LendTrain](https://www.lendtrain.com) - AI-native mortgage refinance plugin for [Claude Code](/@harrisonqian/awesome/wiki/miscellaneous/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](https://github.com/hashgraph-online/hashnet-mcp-js) - Universal AI agent index for discovering trading agents across Virtuals Protocol, NANDA, MCP, and other registries.
- [KeepRule](https://keeprule.com) - 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](https://docs.philidor.io/docs) - DeFi risk infrastructure for AI agents: MCP server and [REST](/@harrisonqian/awesome/wiki/miscellaneous/rest) API for vault risk scores, portfolio analysis, and due diligence. No API key. 700+ vaults, 9 protocols, 6 chains.
- [Hindsight](https://hindsight.vectorize.io) - 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

- 🌟🌟🌟 [Stock-Prediction-Models](https://github.com/huseinzol05/Stock-Prediction-Models) - Stock-Prediction-Models, Gathers [machine learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning) and [deep learning](/@harrisonqian/awesome/wiki/computer-science/deep-learning) models for Stock forecasting, included trading [bots](/@harrisonqian/awesome/wiki/miscellaneous/bots) and simulations.
- 🌟🌟 [Financial Machine Learning](https://github.com/firmai/financial-machine-learning) - A curated list of practical financial [machine learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning) (FinML) tools and applications. This collection is primarily in [Python](/@harrisonqian/awesome/wiki/programming-languages/python).
- 🌟 [Awesome-Quant-Machine-[Learning](/@harrisonqian/awesome/wiki/programming-languages/learning)-Trading](https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading) - Quant / Algorithm trading resources with an emphasis on [Machine Learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning).
- [awesome-quant](https://github.com/wilsonfreitas/awesome-quant) - A curated list of insanely [awesome](/@harrisonqian/awesome/wiki/miscellaneous/awesome) libraries, packages and resources for Quants (Quantitative Finance).
- [FinancePy](https://github.com/domokane/FinancePy) - A [Python](/@harrisonqian/awesome/wiki/programming-languages/python) Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
- [Explore Finance Service Libraries & Projects](https://kandi.openweaver.com/explore/financial-services#Top-Authors) - Explore a curated list of Fintech popular & new libraries, top authors, trending project kits, discussions, [tutorials](/@harrisonqian/awesome/wiki/computer-science/tutorials) & [learning](/@harrisonqian/awesome/wiki/programming-languages/learning) resources on kandi.
- [AgentMarket](https://agentmarket.cloud) - B2A marketplace for AI agents. 189 listings, 28M+ real energy data records, LangChain/MCP [integration](/@harrisonqian/awesome/wiki/platforms/integration).
