Quantitative Notebooks
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Vnpy | 22,695 | 3 months ago | 1 | March 29, 2016 | 7 | mit | Python | |||
| 基于Python的开源量化交易平台开发框架 | ||||||||||
| Machine Learning For Trading | 9,469 | 10 months ago | 13 | Jupyter Notebook | ||||||
| Code for Machine Learning for Algorithmic Trading, 2nd edition. | ||||||||||
| Financial Machine Learning | 5,277 | 3 months ago | 5 | Python | ||||||
| A curated list of practical financial machine learning tools and applications. | ||||||||||
| Backtesting.py | 4,457 |  | 2 | 3 months ago | 21 | December 13, 2021 | 142 | agpl-3.0 | Python | |
| :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python. | ||||||||||
| Riskfolio Lib | 2,508 |  | 5 | 3 months ago | 43 | October 04, 2023 | bsd-3-clause | C++ | ||
| Portfolio Optimization and Quantitative Strategic Asset Allocation in Python | ||||||||||
| Blankly | 1,961 |  | 1 | 24 days ago | 112 | July 23, 2023 | 24 | lgpl-3.0 | Python | |
| 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package. | ||||||||||
| Stock_analysis_for_quant | 1,483 | 3 months ago | 1 | mit | Jupyter Notebook | |||||
| Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau | ||||||||||
| Pybroker | 1,455 | 3 months ago | 6 | other | Python | |||||
| Algorithmic Trading in Python with Machine Learning | ||||||||||
| Surpriver | 1,275 | 3 years ago | 11 | gpl-3.0 | Python | |||||
| Find big moving stocks before they move using machine learning and anomaly detection | ||||||||||
| Sgx Full Orderbook Tick Data Trading Strategy | 1,151 | 2 years ago | 3 | Jupyter Notebook | ||||||
| Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data. | ||||||||||
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Python
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Machine Learning
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Finance
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Data Analysis
Algorithmic Trading
Investment
Trading Strategies
Quantitative Finance
Trading Algorithms
Quantitative Trading