Quantitaive-Momentum-Strategy
Unverified ML strategy on Indices by ayush0801. BotFinder score 18 out of 100.
Python code for a quantitative momentum investment strategy that selects high-momentum stocks from the S&P 500 index and calculates recommended trades for an equal-weight portfolio
Source: github
BotFinder analysis pending.
Quantitaive-Momentum-Strategy
Quantitative Momentum Strategy This project demonstrates a quantitative momentum investing strategy that selects the 50 stocks with the highest price momentum from the S&P 500. The strategy involves calculating the recommended trades for an equal-weight portfolio of these 50 stocks, as well as a more advanced high-quality momentum strategy. Table of Contents - Introduction - Library Imports - Importing Stock Data - Making API Calls - Filtering High Momentum Stocks - Calculating Shares to Buy - Advanced Momentum Strategy - Saving to Excel - Calculating Returns - Investment Strategy using 80-20 Principle - Visualizing Returns - Acknowledgements Introduction "Momentum investing" means investing in stocks that have increased in price the most. This project builds an investing strategy that selects the 50 highest price momentum stocks and calculates recommended trades for an equal-weight portfolio of these stocks. Library Imports The project utilizes the following libraries: - numpy - pandas - requests - math - scipy.stats - xlsxwriter Make sure to install the required libraries. Importin
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