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Top 7 Jupyter Notebook Investment Projects
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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FinancePy
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
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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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mstables
MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the SQLite data into pandas DataFrames (see Jupyter notebook for examples)
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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
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
Jupyter Notebook Investment discussion
Jupyter Notebook Investment related posts
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Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
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Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
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Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
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Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
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Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
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How to backtest common strategy / filters in bulk?
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Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
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A note from our sponsor - InfluxDB
www.influxdata.com | 17 Jul 2025
Index
What are some of the best open-source Investment projects in Jupyter Notebook? This list will help you:
# | Project | Stars |
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1 | machine-learning-for-trading | 15,238 |
2 | PyPortfolioOpt | 5,039 |
3 | FinancePy | 2,468 |
4 | SGX-Full-OrderBook-Tick-Data-Trading-Strategy | 2,049 |
5 | mstables | 182 |
6 | ESG-AI-investment-by-streamlit | 28 |
7 | Finding-Alpha-with-AI | 19 |