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Top 7 Jupyter Notebook Investment Projects
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PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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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Project mention: Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0 | /r/algoprojects | 2023-11-20
Project mention: PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:3788.0 | /r/algoprojects | 2023-10-24
Project mention: FinancePy: NEW Derivatives and Hedging - star count:1675.0 | /r/algoprojects | 2023-11-10
Project mention: HFT: High frequency trading. Extended Research - star count:1469.0 | /r/algoprojects | 2023-07-08
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).
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 - SaaSHub
www.saashub.com | 23 May 2024
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 | 11,943 |
| 2 | PyPortfolioOpt | 4,162 |
| 3 | FinancePy | 1,927 |
| 4 | SGX-Full-OrderBook-Tick-Data-Trading-Strategy | 1,749 |
| 5 | mstables | 172 |
| 6 | ESG-AI-investment-by-streamlit | 22 |
| 7 | Finding-Alpha-with-AI | 15 |
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