Jupyter Notebook Investment

Open-source Jupyter Notebook projects categorized as Investment

Top 7 Jupyter Notebook Investment Projects

  1. machine-learning-for-trading

    Code for Machine Learning for Algorithmic Trading, 2nd edition.

  2. 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.

    InfluxDB logo
  3. PyPortfolioOpt

    Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

  4. FinancePy

    A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

  5. 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.

  6. 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)

  7. ESG-AI-investment-by-streamlit

    ESG-investment AI

  8. Finding-Alpha-with-AI

    A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI

  9. 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.

    Stream logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Jupyter Notebook Investment related posts

  • Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0

    1 project | /r/algoprojects | 20 Nov 2023
  • Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0

    1 project | /r/algoprojects | 19 Nov 2023
  • Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0

    1 project | /r/algoprojects | 17 Nov 2023
  • Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0

    1 project | /r/algoprojects | 17 Nov 2023
  • Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0

    1 project | /r/algoprojects | 17 Nov 2023
  • How to backtest common strategy / filters in bulk?

    1 project | /r/algotrading | 15 Nov 2023
  • Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0

    1 project | /r/algoprojects | 14 Nov 2023
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 17 Jul 2025
    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. Learn more →

Index

What are some of the best open-source Investment projects in Jupyter Notebook? This list will help you:

# Project Stars
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

Sponsored
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.
www.influxdata.com