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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.
@@ -32,8 +32,8 @@
- 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)
@@ -47,16 +47,14 @@
- 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. 
- 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.
- 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
@@ -107,8 +105,8 @@
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
@@ -248,8 +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
@@ -259,12 +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.
- 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.