Portfoliolab
PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Competitive Programming | 1,322 | 8 months ago | 4 | mit | C++ | |||||
| :pushpin: :books: Solution of competitive programming problems, code templates, Data Structures and Algorithms, hackathons, interviews and much more. | ||||||||||
| Universal Portfolios | 688 | 1 | 3 months ago | 21 | July 11, 2022 | 21 | other | Jupyter Notebook | ||
| Collection of algorithms for online portfolio selection | ||||||||||
| Algotrader | 576 |  | 4 | a year ago | 47 | April 16, 2020 | 40 | apache-2.0 | JavaScript | |
| Simple algorithmic stock and option trading for Node.js. | ||||||||||
| Deep_portfolio | 164 | 7 years ago | 4 | Python | ||||||
| Intuition | 114 | 2 | 6 years ago | 8 | May 31, 2014 | 4 | apache-2.0 | Python | ||
| Quantitative trading kit, for hackers | ||||||||||
| Hacktoberfest_2021 | 106 | 2 years ago | 52 | mit | HTML | |||||
| This repository aims to help code beginners with their first successful pull request and open source contribution. Happy coding! | ||||||||||
| Algorithmic_stock_trader | 66 | 12 years ago | mit | Java | ||||||
| Simulates stock market trading with an emphasis on automated trading. | ||||||||||
| Portfoliolab | 57 | 2 years ago | 4 | June 23, 2021 | 2 | other | ||||
| PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry. | ||||||||||
| Algorithmictrading | 39 | a year ago | apache-2.0 | Python | ||||||
| Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordingly formulate a trading strategy based on predicted values to generate orders on same historical training set to backtest how much portfolio would have increased. Select the combination of Machine learning algorithm and Trading strategy to maximize gain for future orders placed automatically via the program. | ||||||||||
| Cla | 23 | 2 years ago | gpl-3.0 | Python | ||||||
| An Open-Source Implementation of the Critical-Line Algorithm for Portfolio Optimization | ||||||||||
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