Python/Jupyter notebooks that attempt to read stock market data from Yahoo Finance and predict future values based on ML Models
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Updated
Aug 4, 2024 - Jupyter Notebook
Python/Jupyter notebooks that attempt to read stock market data from Yahoo Finance and predict future values based on ML Models
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
Neuro evolution agent to buy and sell stocks atumatically
In this Notebook, I analyze the following five semiconductor stocks: HD, INTC, AMD, MU, NVDA, and TSM. Then, I choose the stock with the least correlation to JNJ in order to diversify a portfolio. The data was generated using the GOOGLEFINANCE historical market data script.
This notebook provides some skills to perform financial analysis on economical data.
In today's world, people trade stocks through online with own decisions, based on the financial data and market information. This notebook presents several aspects of analyzing financial data using data science, combined both python and statistics to provide and extract insights from the stock data.
A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models performed.
Algo Trading - Notebooks: Start to End of Algo Trading Development. Data:Stocks up till 2019 with all daily close data.
Predicting opening price, closing price - all in Jupyter Notebooks
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