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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.
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) 
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LLMs
- 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.
- 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.
- 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.
- 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.
Papers
- The Theory of Speculation L. Bachelier, 1900 (http://www.radio.goldseek.com/bachelier-thesis-theory-of-speculation-en.pdf) - The influences which determine the movements of the Stock 
Exchange are.
- The Theory of Speculation L. Bachelier, 1900 (http://www.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 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 (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 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.
- 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 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
@@ -70,14 +63,14 @@
- 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
@@ -87,8 +80,7 @@
- 🌟🌟 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 & Supervised Learning for Quantitative Trading.
- 🌟 Ensemble-Strategy (https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020) - Deep Reinforcement Learning for Automated 
Stock Trading.
- 🌟 Ensemble-Strategy (https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020) - Deep Reinforcement Learning for Automated Stock Trading.
- FinRL (https://github.com/AI4Finance-LLC/FinRL-Library) - A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance.
- AutomatedStockTrading-DeepQ-Learning (https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning) - Build a Deep Q-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).
@@ -99,8 +91,7 @@
- gym-trading (https://github.com/hackthemarket/gym-trading) - Environment for reinforcement-learning algorithmic trading models.
- zenbrain (https://github.com/carlos8f/zenbrain) - A framework for machine-learning bots.
- DeepLearningNotes (https://github.com/AlphaSmartDog/DeepLearningNotes) - 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 using 
Keras.
- stock_market_reinforcement_learning (https://github.com/kh-kim/stock_market_reinforcement_learning) - Stock market trading OpenAI Gym environment with Deep Reinforcement Learning using Keras.
- Chaos Genius (https://github.com/chaos-genius/chaos_genius) - ML powered analytics engine for outlier/anomaly detection and root cause analysis..
- mlforecast (https://github.com/Nixtla/mlforecast) - Scalable machine learning based time series forecasting.
@@ -113,10 +104,9 @@
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.
- 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.
- HFT_Bitcoin (https://github.com/ghgr/HFT_Bitcoin) - Analysis of High Frequency Trading on Bitcoin exchanges.
Event Drive
@@ -256,8 +246,7 @@
- The-Economist (https://github.com/nailperry-zd/The-Economist) - The Economist.
- nyu-mlif-notes (https://github.com/wizardforcel/nyu-mlif-notes) - NYU 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)
- 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
@@ -267,13 +256,10 @@
Other Resource
- 🌟🌟🌟 Stock-Prediction-Models (https://github.com/huseinzol05/Stock-Prediction-Models) - Stock-Prediction-Models, Gathers machine learning and deep learning models for Stock forecasting, 
included trading bots and simulations.
- 🌟🌟 Financial Machine Learning (https://github.com/firmai/financial-machine-learning) - A curated list of practical financial machine learning (FinML) tools and applications. This 
collection is primarily in Python.
- 🌟🌟🌟 Stock-Prediction-Models (https://github.com/huseinzol05/Stock-Prediction-Models) - Stock-Prediction-Models, Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations.
- 🌟🌟 Financial Machine Learning (https://github.com/firmai/financial-machine-learning) - A curated list of practical financial machine learning (FinML) tools and applications. This collection is primarily in Python.
- 🌟 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.
- 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.