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 Awesome AI in Finance !Awesome (https://awesome.re/badge.svg) (https://github.com/sindresorhus/awesome) !Community (https://img.shields.io/discord/733027681184251937.svg?style=flat&label=Join%20Community&color=7289DA) 
 (https://discord.gg/cqaUf47)
Awesome AI in Finance !Awesome (https://awesome.re/badge.svg) (https://github.com/sindresorhus/awesome) !Community (https://img.shields.io/discord/733027681184251937.svg?style=flat&label=Join%20Community&color=7289DA) (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.
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Contents
- Agents (#agents)
- LLMs (#llms)
- Papers (#papers)
- Courses & Books (#courses--books)
@@ -28,14 +28,22 @@
- Articles (#articles)
- Others (#others)
Agents
- 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.
LLMs
- 🌟 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.
- 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-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/)
- MACD + RSI + ADX Strategy (ChatGPT-powered) by TradeSmart (https://www.tradingview.com/script/GxkUyJKW-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 (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 to determine which cryptocurrency to trade based on technical indicators.
@@ -51,10 +59,10 @@
- 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.
- 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
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- Udacity: 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" book.
- Advances in Financial Machine Learning (https://www.amazon.com/Advances-Financial-Machine-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 tools like ChatGPT and 
Copilot.
- Advances in Financial Machine Learning (https://www.amazon.com/Advances-Financial-Machine-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 tools like ChatGPT and Copilot.
- Mastering Python for Finance (https://github.com/jamesmawm/mastering-python-for-finance-second-edition) - Sources codes for: Mastering 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 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 
and tools you need to build ML systems that, together with tons of experimentation, can take you there.
- 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 and tools 
you need to build ML systems that, together with tons of experimentation, can take you there.
Strategies & Research
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- qtrader (https://github.com/filangel/qtrader) - Reinforcement Learning for portfolio management.
- PGPortfolio (https://github.com/ZhengyaoJiang/PGPortfolio) - A Deep Reinforcement Learning framework for the financial portfolio management problem.
- DeepDow (https://github.com/jankrepl/deepdow) - Portfolio optimization with deep learning.
- skfolio (https://github.com/skfolio/skfolio) - 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 approaches (Machine Learning) on 
Full Orderbook Tick Data.
- 🌟 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 approaches (Machine Learning) on Full 
Orderbook Tick Data.
- HFT_Bitcoin (https://github.com/ghgr/HFT_Bitcoin) - Analysis of High Frequency Trading on Bitcoin exchanges.
Event Drive
@@ -126,6 +134,7 @@
Technical Analysis
- QTradeX (https://github.com/squidKid-deluxe/QTradeX-Algo-Trading-SDK) - A powerful and flexible Python framework for designing, backtesting, optimizing, and deploying algotrading bots
- quant-trading (https://github.com/je-suis-tm/quant-trading) - 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.
@@ -158,6 +167,7 @@
- 🌟 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 module to get stock data from Yahoo! Finance.
- Tushare (https://github.com/waditu/tushare) - Crawling historical data of Chinese stocks.
- Financial Data (https://financialdata.net/) - Stock Market and Financial Data API.
Crypto Currencies
@@ -183,6 +193,7 @@
System
- 🌟🌟🌟 OpenBB (https://github.com/OpenBB-finance/OpenBB) - AI-powered opensource research and analytics workspace.
- 🌟🌟 zipline (https://github.com/quantopian/zipline) - A 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 algorithmic backtest & trading framework.
@@ -261,5 +272,7 @@
- 🌟 Awesome-Quant-Machine-Learning-Trading (https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading) - Quant / Algorithm trading resources with an emphasis on Machine Learning.
- awesome-quant (https://github.com/wilsonfreitas/awesome-quant) - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance).
- FinancePy (https://github.com/domokane/FinancePy) - A 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
& learning resources on kandi.
- 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 & 
learning resources on kandi.
aiinfinance Github: https://github.com/georgezouq/awesome-ai-in-finance