Top 10 Jupyter Notebook quantitative-finance Projects
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Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
If you have experience with Python, here is a great repo: https://github.com/cantaro86/Financial-Models-Numerical-Methods If you don't know Python, I suggest you learn. It's one of the easier languages to learn. The course below will teach you everything you need to get started. https://www.youtube.com/watch?v=rfscVS0vtbw
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PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Project mention: PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:2840.0 | reddit.com/r/algoprojects | 2022-06-18 -
Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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Project mention: Launch HN: Coinrule (YC S21) – Automated Trading Made Easy | news.ycombinator.com | 2021-07-15
I would never trust a service like this, but at the same time, I'm curious on how to setup the opposite of their motto: "compete with professional algorithmic traders and hedge funds. coding required!".
Does Fidelity offer an API of some sort so that I can login with my normal credentials and buy/sell? I'm assuming the strategies being used here, like "Ride the Trend", are basically the same ones available here: https://github.com/enzoampil/fastquant
So, given that the previous statements are true, do I just need some Yahoo! Finance API + FastQuant and then MyBank API to autotrade for myself? What else would be involved?
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alpha-mind
quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
Project mention: Factor Analysis: Factor strategy notebooks. Factor and Risk Analysis - star count:193.0 | reddit.com/r/algoprojects | 2022-05-28 -
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notebooks
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers. (by differential-machine-learning)
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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QuantitaveFinanceExamplesPy
Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir).
Project mention: GitHub - mrtkp9993/QuantitaveFinanceExamplesPy: Financial analysis, algorithmic trading, portfolio optimization examples with Python. | reddit.com/r/coolgithubprojects | 2021-08-30 -
hca-resources
zipline-broker Examples. Full notebooks plus python code for long term investment strategies using zipline based tools.
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Project mention: C++ cuda programming issue - Segmentation fault (core dumped) | reddit.com/r/cpp_questions | 2021-10-28
I am trying to code up a Quasi Monte Carlo Simulation using C++ CUDA but I am unable to get it working and I keep getting errors 'segementation fault (core dumped)' error message. My code is here: https://github.com/sleung852/pyquantfi/tree/master/cpp/quasi_mc_cuda
Jupyter Notebook quantitative-finance related posts
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:2840.0
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:2840.0
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:2840.0
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:2840.0
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:2840.0
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:2840.0
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:2840.0
Index
What are some of the best open-source quantitative-finance projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | Financial-Models-Numerical-Methods | 3,725 |
2 | PyPortfolioOpt | 2,879 |
3 | machine-learning-asset-management | 1,349 |
4 | fastquant | 921 |
5 | alpha-mind | 196 |
6 | blog | 147 |
7 | notebooks | 84 |
8 | QuantitaveFinanceExamplesPy | 20 |
9 | hca-resources | 2 |
10 | pyquantfi | 0 |
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