Top 5 Jupyter Notebook quantitative-trading Projects
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TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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gym-continuousDoubleAuction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
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QuantitaveFinanceExamplesPy
Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir).
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Finding-Alpha-with-AI
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
Jupyter Notebook quantitative-trading discussion
Jupyter Notebook quantitative-trading related posts
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I am getting alpha of 94191% with this dataset and an attention-based LSTM
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GitHub - mrtkp9993/QuantitaveFinanceExamplesPy: Financial analysis, algorithmic trading, portfolio optimization examples with Python.
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GitHub - mrtkp9993/FinanceExamplesPy: Financial analysis, algorithmic trading, portfolio optimization examples with Python.
Index
What are some of the best open-source quantitative-trading projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | TradeMaster | 2,748 |
| 2 | SGX-Full-OrderBook-Tick-Data-Trading-Strategy | 2,277 |
| 3 | gym-continuousDoubleAuction | 153 |
| 4 | QuantitaveFinanceExamplesPy | 46 |
| 5 | Finding-Alpha-with-AI | 19 |
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