547 lines
25 KiB
HTML
547 lines
25 KiB
HTML
<h1 id="awesome-ai-in-finance-awesome-community">Awesome AI in Finance
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<a href="https://github.com/sindresorhus/awesome"><img
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src="https://awesome.re/badge.svg" alt="Awesome" /></a> <a
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href="https://discord.gg/cqaUf47"><img
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src="https://img.shields.io/discord/733027681184251937.svg?style=flat&label=Join%20Community&color=7289DA"
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alt="Community" /></a></h1>
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<p>There are millions of trades made in the global financial market
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every day. Data grows very quickly and people are hard to understand.
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With the power of the latest artificial intelligence research, people
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analyze & trade automatically and intelligently. This list contains
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the research, tools and code that people use to beat the market.</p>
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<p>[<a href="./chinese.md">中文资源</a>]</p>
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<h2 id="contents">Contents</h2>
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<ul>
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<li><a href="#llms">LLMs</a></li>
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<li><a href="#papers">Papers</a></li>
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<li><a href="#courses--books">Courses & Books</a></li>
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<li><a href="#strategies--research">Strategies & Research</a>
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<ul>
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<li><a href="#time-series-data">Time Series Data</a></li>
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<li><a href="#portfolio-management">Portfolio Management</a></li>
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<li><a href="#high-frequency-trading">High Frequency Trading</a></li>
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<li><a href="#event-drive">Event Drive</a></li>
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<li><a href="#crypto-currencies-strategies">Crypto Currencies
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Strategies</a></li>
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<li><a href="#technical-analysis">Technical Analysis</a></li>
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<li><a href="#lottery--gamble">Lottery & Gamble</a></li>
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<li><a href="#arbitrage">Arbitrage</a></li>
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</ul></li>
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<li><a href="#data-sources">Data Sources</a></li>
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<li><a href="#research-tools">Research Tools</a></li>
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<li><a href="#trading-system">Trading System</a></li>
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<li><a href="#ta-lib">TA Lib</a></li>
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<li><a href="#exchange-api">Exchange API</a></li>
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<li><a href="#articles">Articles</a></li>
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<li><a href="#others">Others</a></li>
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</ul>
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<h2 id="llms">LLMs</h2>
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<ul>
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<li><a href="https://github.com/chancefocus/PIXIU">PIXIU</a> - An
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open-source resource providing a financial large language model, a
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dataset with 136K instruction samples, and a comprehensive evaluation
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benchmark.</li>
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<li><a href="https://github.com/AI4Finance-Foundation/FinGPT">FinGPT</a>
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- Provides a playground for all people interested in LLMs and NLP in
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Finance.</li>
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<li><a
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href="https://www.tradingview.com/script/GxkUyJKW-MACD-RSI-ADX-Strategy-ChatGPT-powered-by-TradeSmart/">MACD
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+ RSI + ADX Strategy (ChatGPT-powered) by TradeSmart</a> - Asked ChatGPT
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on which indicators are the most popular for trading. We used all of the
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recommendations given.</li>
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<li><a
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href="https://www.reddit.com/r/ChatGPT/comments/13duech/a_chatgpt_trading_algorithm_delivered_500_returns/">A
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ChatGPT trading algorithm delivered 500% returns in stock market. My
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breakdown on what this means for hedge funds and retail
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investors</a></li>
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<li><a
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href="https://twitter.com/0xUnicorn/status/1663413848593031170">Use
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chatgpt to adjust strategy parameters</a></li>
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<li><a href="https://github.com/iusztinpaul/hands-on-llms">Hands-on
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LLMs: Train and Deploy a Real-time Financial Advisor</a> - Train and
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deploy a real-time financial advisor chatbot with Falcon 7B and
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CometLLM.</li>
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<li><a href="https://blog.octobot.online/trading-using-chat-gpt">ChatGPT
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Strategy by OctoBot</a> - Use ChatGPT to determine which cryptocurrency
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to trade based on technical indicators.</li>
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</ul>
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<h2 id="papers">Papers</h2>
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<ul>
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<li><a
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href="http://www.radio.goldseek.com/bachelier-thesis-theory-of-speculation-en.pdf">The
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Theory of Speculation L. Bachelier, 1900</a> - The influences which
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determine the movements of the Stock Exchange are.</li>
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<li><a href="http://m.e-m-h.org/Osbo59.pdf">Brownian Motion in the Stock
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Market Osborne, 1959</a> - The common-stock prices can be regarded as an
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ensemble of decisions in statistical equilibrium.</li>
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<li><a
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href="http://www.doc.ic.ac.uk/teaching/distinguished-projects/2015/j.cumming.pdf">An
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Investigation into the Use of Reinforcement Learning Techniques within
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the Algorithmic Trading Domain, 2015</a></li>
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<li><a href="https://arxiv.org/pdf/1706.10059.pdf">A Deep Reinforcement
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Learning Framework for the Financial Portfolio Management
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Problem</a></li>
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<li><a
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href="http://papers.nips.cc/paper/1551-reinforcement-learning-for-trading.pdf">Reinforcement
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Learning for Trading, 1994</a></li>
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<li><a href="https://arxiv.org/pdf/0907.4290.pdf">Dragon-Kings, Black
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Swans and the Prediction of Crises Didier Sornette</a> - The power laws
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in the distributions of event sizes under a broad range of conditions in
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a large variety of systems.</li>
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<li><a href="https://arxiv.org/pdf/1807.02787.pdf">Financial Trading as
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a Game: A Deep Reinforcement Learning Approach</a> - Deep reinforcement
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learning provides a framework toward end-to-end training of such trading
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agent.</li>
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<li><a href="https://cims.nyu.edu/~ritter/ritter2017machine.pdf">Machine
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Learning for Trading</a> - With an appropriate choice of the reward
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function, reinforcement learning techniques can successfully handle the
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risk-averse case.</li>
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<li><a
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href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3197726">Ten
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Financial Applications of Machine Learning, 2018</a> - Slides review few
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important financial ML applications.</li>
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<li><a href="https://arxiv.org/abs/2011.09607">FinRL: A Deep
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Reinforcement Learning Library for Automated Stock Trading in
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Quantitative Finance, 2020</a> - Introduce a DRL library FinRL that
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facilitates beginners to expose themselves to quantitative finance and
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to develop their own stock trading strategies.</li>
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<li><a
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href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996">Deep
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Reinforcement Learning for Automated Stock Trading: An Ensemble
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Strategy, 2020</a> - Propose an ensemble strategy that employs deep
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reinforcement schemes to learn a stock trading strategy by maximizing
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investment return.</li>
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</ul>
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<h2 id="courses-books-blogs">Courses & Books & Blogs</h2>
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<ul>
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<li>🌟 <a
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href="https://github.com/letianzj/QuantResearch">QuantResearch</a> -
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Quantitative analysis, strategies and backtests
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https://letianzj.github.io/</li>
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<li><a
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href="https://www.coursera.org/learn/advanced-methods-reinforcement-learning-finance/home/welcome">NYU:
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Overview of Advanced Methods of Reinforcement Learning in
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Finance</a></li>
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<li><a
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href="https://www.udacity.com/course/ai-for-trading--nd880">Udacity:
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Artificial Intelligence for Trading</a></li>
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<li><a href="https://cfte.education/">AI in Finance</a> - Learn Fintech
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Online.</li>
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<li><a
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href="https://github.com/Rachnog/Advanced-Deep-Trading">Advanced-Deep-Trading</a>
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- Experiments based on “Advances in financial machine learning”
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book.</li>
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<li><a
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href="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">Advances
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in Financial Machine Learning</a> - Using advanced ML solutions to
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overcome real-world investment problems.</li>
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<li><a
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href="https://www.manning.com/books/build-financial-software-with-generative-ai?ar=false&lpse=B&">Build
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Financial Software with Generative AI</a> - Book about how to build
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financial software hands-on using generative AI tools like ChatGPT and
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Copilot.</li>
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<li><a
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href="https://github.com/jamesmawm/mastering-python-for-finance-second-edition">Mastering
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Python for Finance</a> - Sources codes for: Mastering Python for
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Finance, Second Edition.</li>
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<li><a
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href="https://github.com/jacopotagliabue/MLSys-NYU-2022/tree/main">MLSys-NYU-2022</a>
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- Slides, scripts and materials for the Machine Learning in Finance
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course at NYU Tandon, 2022.</li>
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<li><a
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href="https://github.com/Paulescu/hands-on-train-and-deploy-ml">Train
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and Deploy a Serverless API to predict crypto prices</a> - In this
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tutorial you won’t build an ML system that will make you rich. But you
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will master the MLOps frameworks and tools you need to build ML systems
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that, together with tons of experimentation, can take you there.</li>
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</ul>
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<h2 id="strategies-research">Strategies & Research</h2>
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<h3 id="time-series-data">Time Series Data</h3>
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<p>Price and Volume process with Technology Analysis Indices</p>
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<ul>
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<li>🌟🌟 <a
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href="https://github.com/borisbanushev/stockpredictionai">stockpredictionai</a>
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- A complete process for predicting stock price movements.</li>
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<li>🌟 <a href="https://github.com/Ceruleanacg/Personae">Personae</a> -
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Implements and environment of Deep Reinforcement Learning &
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Supervised Learning for Quantitative Trading.</li>
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<li>🌟 <a
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href="https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020">Ensemble-Strategy</a>
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- Deep Reinforcement Learning for Automated Stock Trading.</li>
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<li><a href="https://github.com/AI4Finance-LLC/FinRL-Library">FinRL</a>
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- A Deep Reinforcement Learning Library for Automated Stock Trading in
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Quantitative Finance.</li>
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<li><a
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href="https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning">AutomatedStockTrading-DeepQ-Learning</a>
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- Build a Deep Q-learning reinforcement agent model as automated trading
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robot.</li>
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<li><a
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href="https://github.com/miroblog/tf_deep_rl_trader">tf_deep_rl_trader</a>
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- Trading environment(OpenAI Gym) + PPO(TensorForce).</li>
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<li><a
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href="https://github.com/6-Billionaires/trading-gym">trading-gym</a> -
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Trading agent to train with episode of short term trading itself.</li>
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<li><a href="https://github.com/Kostis-S-Z/trading-rl">trading-rl</a> -
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Deep Reinforcement Learning for Financial Trading using Price
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Trailing.</li>
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<li><a
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href="https://github.com/miroblog/deep_rl_trader">deep_rl_trader</a> -
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Trading environment(OpenAI Gym) + DDQN (Keras-RL).</li>
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<li><a
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href="https://github.com/Ceruleanacg/Quantitative-Trading">Quantitative-Trading</a>
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- Papers and code implementing Quantitative-Trading.</li>
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<li><a
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href="https://github.com/hackthemarket/gym-trading">gym-trading</a> -
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Environment for reinforcement-learning algorithmic trading models.</li>
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<li><a href="https://github.com/carlos8f/zenbrain">zenbrain</a> - A
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framework for machine-learning bots.</li>
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<li><a
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href="https://github.com/AlphaSmartDog/DeepLearningNotes">DeepLearningNotes</a>
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- Machine learning in quant analysis.</li>
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<li><a
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href="https://github.com/kh-kim/stock_market_reinforcement_learning">stock_market_reinforcement_learning</a>
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- Stock market trading OpenAI Gym environment with Deep Reinforcement
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Learning using Keras.</li>
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<li><a href="https://github.com/chaos-genius/chaos_genius">Chaos
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Genius</a> - ML powered analytics engine for outlier/anomaly detection
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and root cause analysis..</li>
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<li><a href="https://github.com/Nixtla/mlforecast">mlforecast</a> -
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Scalable machine learning based time series forecasting.</li>
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</ul>
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<h3 id="portfolio-management">Portfolio Management</h3>
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<ul>
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<li><a
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href="https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading">Deep-Reinforcement-Stock-Trading</a>
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- A light-weight deep reinforcement learning framework for portfolio
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management.</li>
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<li><a href="https://github.com/filangel/qtrader">qtrader</a> -
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Reinforcement Learning for portfolio management.</li>
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<li><a
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href="https://github.com/ZhengyaoJiang/PGPortfolio">PGPortfolio</a> - A
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Deep Reinforcement Learning framework for the financial portfolio
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management problem.</li>
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<li><a href="https://github.com/jankrepl/deepdow">DeepDow</a> -
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Portfolio optimization with deep learning.</li>
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</ul>
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<h3 id="high-frequency-trading">High Frequency Trading</h3>
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<ul>
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<li><a
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href="https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB">High-Frequency-Trading-Model-with-IB</a>
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- A high-frequency trading model using Interactive Brokers API with
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pairs and mean-reversion.</li>
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<li>🌟 <a
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href="https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy">SGX-Full-OrderBook-Tick-Data-Trading-Strategy</a>
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- Solutions for high-frequency trading (HFT) strategies using data
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science approaches (Machine Learning) on Full Orderbook Tick Data.</li>
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<li><a href="https://github.com/ghgr/HFT_Bitcoin">HFT_Bitcoin</a> -
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Analysis of High Frequency Trading on Bitcoin exchanges.</li>
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</ul>
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<h3 id="event-drive">Event Drive</h3>
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<ul>
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<li>🌟🌟 <a
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href="https://github.com/borisbanushev/stockpredictionai">stockpredictionai</a>
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- Complete process for predicting stock price movements.</li>
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<li>🌟 <a href="https://github.com/maxbbraun/trump2cash">trump2cash</a>
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- A stock trading bot powered by Trump tweets.</li>
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</ul>
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<h3 id="crypto-currencies-strategies">Crypto Currencies Strategies</h3>
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<ul>
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<li><a
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href="https://github.com/SC4RECOIN/LSTM-Crypto-Price-Prediction">LSTM-Crypto-Price-Prediction</a>
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- Predicting price trends in crypto markets using an LSTM-RNN for
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trading.</li>
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<li><a
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href="https://github.com/lefnire/tforce_btc_trader">tforce_btc_trader</a>
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- TensorForce Bitcoin trading bot.</li>
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<li><a
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href="https://github.com/SC4RECOIN/Tensorflow-NeuroEvolution-Trading-Bot">Tensorflow-NeuroEvolution-Trading-Bot</a>
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- A population model that trade cyrpto and breed and mutate
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iteratively.</li>
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<li><a href="https://github.com/gekkowarez/gekkoga">gekkoga</a> -
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Genetic algorithm for solving optimization of trading strategies using
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Gekko.</li>
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<li><a
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href="https://github.com/markchen8717/Gekko_ANN_Strategies">Gekko_ANN_Strategies</a>
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- ANN trading strategies for the Gekko trading bot.</li>
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<li><a
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href="https://github.com/zschro/gekko-neuralnet">gekko-neuralnet</a> -
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Neural network strategy for Gekko.</li>
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<li><a
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href="https://github.com/llSourcell/bitcoin_prediction">bitcoin_prediction</a>
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- Code for “Bitcoin Prediction” by Siraj Raval on YouTube.</li>
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</ul>
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<h3 id="technical-analysis">Technical Analysis</h3>
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<ul>
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<li><a
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href="https://github.com/je-suis-tm/quant-trading">quant-trading</a> -
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Python quantitative trading strategies.</li>
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<li><a
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href="https://github.com/cloggy45/Gekko-Bot-Resources">Gekko-Bot-Resources</a>
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- Gekko bot resources.</li>
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<li><a
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href="https://github.com/tommiehansen/gekko_tools">gekko_tools</a> -
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Gekko strategies, tools etc.</li>
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<li><a href="https://github.com/zzmike76/gekko">gekko RSI_WR</a> - Gekko
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RSI_WR strategies.</li>
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<li><a href="https://github.com/mounirlabaied/gekko-strat-hl">gekko
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HL</a> - Calculate down peak and trade on.</li>
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<li><a
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href="https://github.com/Philipid3s/EthTradingAlgorithm">EthTradingAlgorithm</a>
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- Ethereum trading algorithm using Python 3.5 and the library
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ZipLine.</li>
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<li><a
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href="https://github.com/thegamecat/gekko-trading-stuff">gekko_trading_stuff</a>
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- Awesome crypto currency trading platform.</li>
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<li><a
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href="https://github.com/mkmarek/forex.analytics">forex.analytics</a> -
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Node.js native library performing technical analysis over an OHLC
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dataset with use of genetic algorithmv.</li>
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<li><a
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href="https://github.com/VermeirJellen/Bitcoin_MACD_Strategy">Bitcoin_MACD_Strategy</a>
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- Bitcoin MACD crossover trading strategy backtest.</li>
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<li><a
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href="https://github.com/CryptoSignal/crypto-signal">crypto-signal</a> -
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Automated crypto trading & technical analysis (TA) bot for Bittrex,
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Binance, GDAX, and more.</li>
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<li><a
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href="https://github.com/xFFFFF/Gekko-Strategies">Gekko-Strategies</a> -
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Strategies to Gekko trading bot with backtests results and some useful
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tools.</li>
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<li><a
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href="https://github.com/johndoe75/gekko-gannswing">gekko-gannswing</a>
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- Gann’s Swing trade strategy for Gekko trade bot.</li>
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</ul>
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<h3 id="lottery-gamble">Lottery & Gamble</h3>
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<ul>
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<li><a
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href="https://github.com/chengstone/LotteryPredict">LotteryPredict</a> -
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Use LSTM to predict lottery.</li>
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</ul>
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<h3 id="arbitrage">Arbitrage</h3>
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<ul>
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<li><a
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href="https://github.com/BatuhanUsluel/ArbitrageBot">ArbitrageBot</a> -
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Arbitrage bot that currently works on bittrex & poloniex.</li>
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<li><a href="https://github.com/bitrinjani/r2">r2</a> - Automatic
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arbitrage trading system powered by Node.js + TypeScript.</li>
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<li><a
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href="https://github.com/manu354/cryptocurrency-arbitrage">cryptocurrency-arbitrage</a>
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- A crypto currency arbitrage opportunity calculator. Over 800
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currencies and 50 markets.</li>
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<li><a
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href="https://github.com/maxme/bitcoin-arbitrage">bitcoin-arbitrage</a>
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- Bitcoin arbitrage opportunity detector.</li>
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<li><a href="https://github.com/butor/blackbird">blackbird</a> - Long /
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short market-neutral strategy.</li>
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</ul>
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<h2 id="data-sources">Data Sources</h2>
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<h4 id="traditional-markets">Traditional Markets</h4>
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<ul>
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<li>🌟 <a href="https://www.quandl.com/tools/api">Quandl</a> - Get
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millions of financial and economic dataset from hundreds of publishers
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via a single free API.</li>
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<li><a
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href="https://github.com/lukaszbanasiak/yahoo-finance">yahoo-finance</a>
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- Python module to get stock data from Yahoo! Finance.</li>
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<li><a href="https://github.com/waditu/tushare">Tushare</a> - Crawling
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historical data of Chinese stocks.</li>
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</ul>
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<h4 id="crypto-currencies">Crypto Currencies</h4>
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<ul>
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<li><a
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href="https://github.com/Optixal/CryptoInscriber">CryptoInscriber</a> -
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A live crypto currency historical trade data blotter. Download live
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historical trade data from any crypto exchange.</li>
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<li><a
|
||
href="https://github.com/xFFFFF/Gekko-Datasets">Gekko-Datasets</a> -
|
||
Gekko trading bot dataset dumps. Download and use history files in
|
||
SQLite format.</li>
|
||
</ul>
|
||
<h2 id="research-tools">Research Tools</h2>
|
||
<ul>
|
||
<li><a href="https://synthical.com">Synthical</a> - AI-powered
|
||
collaborative environment for Research.</li>
|
||
<li>🌟🌟 <a
|
||
href="https://github.com/tensortrade-org/tensortrade">TensorTrade</a> -
|
||
Trade efficiently with reinforcement learning.</li>
|
||
<li><a href="https://www.ml-quant.com/">ML-Quant</a> - Quant resources
|
||
from ArXiv (sanity), SSRN, RePec, Journals, Podcasts, Videos, and
|
||
Blogs.</li>
|
||
<li><a href="https://github.com/quantOS-org/JAQS">JAQS</a> - An open
|
||
source quant strategies research platform.</li>
|
||
<li><a href="https://github.com/quantopian/pyfolio">pyfolio</a> -
|
||
Portfolio and risk analytics in Python.</li>
|
||
<li><a href="https://github.com/quantopian/alphalens">alphalens</a> -
|
||
Performance analysis of predictive (alpha) stock factors.</li>
|
||
<li><a href="https://github.com/quantopian/empyrical">empyrical</a> -
|
||
Common financial risk and performance metrics. Used by Zipline and
|
||
pyfolio.</li>
|
||
<li><a href="https://github.com/zvtvz/zvt">zvt</a> - Zero vector
|
||
trader.</li>
|
||
</ul>
|
||
<h2 id="trading-system">Trading System</h2>
|
||
<p>For Back Test & Live trading</p>
|
||
<h3 id="traditional-market">Traditional Market</h3>
|
||
<p><strong>System</strong></p>
|
||
<ul>
|
||
<li>🌟🌟 <a href="https://github.com/quantopian/zipline">zipline</a> - A
|
||
python algorithmic trading library.</li>
|
||
<li>🌟 <a href="http://tradingview.com/">TradingView</a> - Get real-time
|
||
information and market insights.</li>
|
||
<li><a href="https://github.com/ricequant/rqalpha">rqalpha</a> - A
|
||
extendable, replaceable Python algorithmic backtest & trading
|
||
framework.</li>
|
||
<li><a href="https://github.com/backtrader/backtrader">backtrader</a> -
|
||
Python backtesting library for trading strategies.</li>
|
||
<li><a href="https://github.com/taurusai/kungfu">kungfu</a> - Kungfu
|
||
Master trading system.</li>
|
||
<li><a href="https://github.com/QuantConnect/Lean">lean</a> -
|
||
Algorithmic trading engine built for easy strategy research, backtesting
|
||
and live trading.</li>
|
||
</ul>
|
||
<p><strong>Combine & Rebuild</strong></p>
|
||
<ul>
|
||
<li><a href="https://github.com/alpacahq/pylivetrader">pylivetrader</a>
|
||
- Python live trade execution library with zipline interface.</li>
|
||
<li><a
|
||
href="https://github.com/JimmyWuMadchester/CoinMarketCapBacktesting">CoinMarketCapBacktesting</a>
|
||
- As backtest frameworks for coin trading strategy.</li>
|
||
</ul>
|
||
<h3 id="crypto-currencies-1">Crypto Currencies</h3>
|
||
<ul>
|
||
<li><a href="https://github.com/DeviaVir/zenbot">zenbot</a> -
|
||
Command-line crypto currency trading bot using Node.js and MongoDB.</li>
|
||
<li><a href="https://github.com/carlos8f/bot18">bot18</a> -
|
||
High-frequency crypto currency trading bot developed by Zenbot.</li>
|
||
<li><a href="https://github.com/magic8bot/magic8bot">magic8bot</a> -
|
||
Crypto currency trading bot using Node.js and MongoDB.</li>
|
||
<li><a href="https://github.com/enigmampc/catalyst">catalyst</a> - An
|
||
algorithmic trading library for Crypto-Assets in python.</li>
|
||
<li><a
|
||
href="https://github.com/mounirlabaied/QuantResearchDev">QuantResearchDev</a>
|
||
- Quant Research dev & Traders open source project.</li>
|
||
<li><a href="https://github.com/sudoscripter/MACD">MACD</a> - Zenbot
|
||
MACD Auto-Trader.</li>
|
||
<li><a href="https://github.com/bbfamily/abu">abu</a> - A quant trading
|
||
system base on python.</li>
|
||
</ul>
|
||
<h4 id="plugins">Plugins</h4>
|
||
<ul>
|
||
<li><a
|
||
href="https://github.com/JimmyWuMadchester/CoinMarketCapBacktesting">CoinMarketCapBacktesting</a>
|
||
- Tests bt and Quantopian Zipline as backtesting frameworks for coin
|
||
trading strategy.</li>
|
||
<li><a
|
||
href="https://github.com/xFFFFF/Gekko-BacktestTool">Gekko-BacktestTool</a>
|
||
- Batch backtest, import and strategy params optimalization for Gekko
|
||
Trading Bot.</li>
|
||
</ul>
|
||
<h2 id="ta-lib">TA Lib</h2>
|
||
<ul>
|
||
<li><a
|
||
href="https://github.com/femtotrader/pandas_talib">pandas_talib</a> - A
|
||
Python Pandas implementation of technical analysis indicators.</li>
|
||
<li><a href="https://github.com/peerchemist/finta">finta</a> - Common
|
||
financial technical indicators implemented in Python-Pandas (70+
|
||
indicators).</li>
|
||
<li><a href="https://github.com/TulipCharts/tulipnode">tulipnode</a> -
|
||
Official Node.js wrapper for Tulip Indicators. Provides over 100
|
||
technical analysis overlay and indicator functions.</li>
|
||
<li><a href="https://github.com/andredumas/techan.js">techan.js</a> - A
|
||
visual, technical analysis and charting (Candlestick, OHLC, indicators)
|
||
library built on D3.</li>
|
||
</ul>
|
||
<h2 id="exchange-api">Exchange API</h2>
|
||
<p>Do it in real world!</p>
|
||
<ul>
|
||
<li><a href="https://github.com/blampe/IbPy">IbPy</a> - Python API for
|
||
the Interactive Brokers on-line trading system.</li>
|
||
<li><a href="https://github.com/mmmaaaggg/HuobiFeeder">HuobiFeeder</a> -
|
||
Connect HUOBIPRO exchange, get market/historical data for ABAT trading
|
||
platform backtest analysis and live trading.</li>
|
||
<li><a href="https://github.com/nooperpudd/ctpwrapper">ctpwrapper</a> -
|
||
Shanghai future exchange CTP api.</li>
|
||
<li><a href="https://github.com/CompendiumFi/PENDAX-SDK">PENDAX</a> -
|
||
Javascript SDK for Trading/Data API and Websockets for cryptocurrency
|
||
exchanges like FTX, FTXUS, OKX, Bybit, & More</li>
|
||
</ul>
|
||
<h3 id="framework">Framework</h3>
|
||
<ul>
|
||
<li><a
|
||
href="https://github.com/google/tf-quant-finance">tf-quant-finance</a> -
|
||
High-performance TensorFlow library for quantitative finance.</li>
|
||
</ul>
|
||
<h3 id="visualizing">Visualizing</h3>
|
||
<ul>
|
||
<li><a href="https://github.com/tensorflow/playground">playground</a> -
|
||
Play with neural networks.</li>
|
||
<li><a href="https://github.com/lutzroeder/netron">netron</a> -
|
||
Visualizer for deep learning and machine learning models.</li>
|
||
<li><a href="https://github.com/liihuu/KLineChart">KLineChart</a> -
|
||
Highly customizable professional lightweight financial charts</li>
|
||
</ul>
|
||
<h3 id="gym-environment">GYM Environment</h3>
|
||
<ul>
|
||
<li>🌟 <a href="https://github.com/Yvictor/TradingGym">TradingGym</a> -
|
||
Trading and Backtesting environment for training reinforcement learning
|
||
agent.</li>
|
||
<li><a href="https://github.com/kkuette/TradzQAI">TradzQAI</a> - Trading
|
||
environment for RL agents, backtesting and training.</li>
|
||
<li><a href="https://github.com/Kismuz/btgym">btgym</a> - Scalable,
|
||
event-driven, deep-learning-friendly backtesting library.</li>
|
||
</ul>
|
||
<h2 id="articles">Articles</h2>
|
||
<ul>
|
||
<li><a
|
||
href="https://github.com/nailperry-zd/The-Economist">The-Economist</a> -
|
||
The Economist.</li>
|
||
<li><a
|
||
href="https://github.com/wizardforcel/nyu-mlif-notes">nyu-mlif-notes</a>
|
||
- NYU machine learning in finance notes.</li>
|
||
<li><a
|
||
href="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</a></li>
|
||
</ul>
|
||
<h2 id="others">Others</h2>
|
||
<ul>
|
||
<li><a
|
||
href="https://github.com/jimgoo/zipline-tensorboard">zipline-tensorboard</a>
|
||
- TensorBoard as a Zipline dashboard.</li>
|
||
<li><a
|
||
href="https://github.com/H256/gekko-quasar-ui">gekko-quasar-ui</a> - An
|
||
UI port for gekko trading bot using Quasar framework.</li>
|
||
<li><a href="https://github.com/FloomAI/Floom">Floom</a> AI gateway and
|
||
marketplace for developers, enables streamlined integration and least
|
||
volatile approach of AI features into products</li>
|
||
</ul>
|
||
<h4 id="other-resource">Other Resource</h4>
|
||
<ul>
|
||
<li>🌟🌟🌟 <a
|
||
href="https://github.com/huseinzol05/Stock-Prediction-Models">Stock-Prediction-Models</a>
|
||
- Stock-Prediction-Models, Gathers machine learning and deep learning
|
||
models for Stock forecasting, included trading bots and
|
||
simulations.</li>
|
||
<li>🌟🌟 <a
|
||
href="https://github.com/firmai/financial-machine-learning">Financial
|
||
Machine Learning</a> - A curated list of practical financial machine
|
||
learning (FinML) tools and applications. This collection is primarily in
|
||
Python.</li>
|
||
<li>🌟 <a
|
||
href="https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading">Awesome-Quant-Machine-Learning-Trading</a>
|
||
- Quant / Algorithm trading resources with an emphasis on Machine
|
||
Learning.</li>
|
||
<li><a
|
||
href="https://github.com/wilsonfreitas/awesome-quant">awesome-quant</a>
|
||
- A curated list of insanely awesome libraries, packages and resources
|
||
for Quants (Quantitative Finance).</li>
|
||
<li><a href="https://github.com/domokane/FinancePy">FinancePy</a> - A
|
||
Python Finance Library that focuses on the pricing and risk-management
|
||
of Financial Derivatives, including fixed-income, equity, FX and credit
|
||
derivatives.</li>
|
||
<li><a
|
||
href="https://kandi.openweaver.com/explore/financial-services#Top-Authors">Explore
|
||
Finance Service Libraries & Projects</a> - Explore a curated list of
|
||
Fintech popular & new libraries, top authors, trending project kits,
|
||
discussions, tutorials & learning resources on kandi.</li>
|
||
</ul>
|