Predicting opening price, closing price - all in Jupyter Notebooks
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Updated
Jun 8, 2020 - Jupyter Notebook
Predicting opening price, closing price - all in Jupyter Notebooks
This notebook provides some skills to perform financial analysis on economical data.
A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models performed.
Neuro evolution agent to buy and sell stocks atumatically
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
Algo Trading - Notebooks: Start to End of Algo Trading Development. Data:Stocks up till 2019 with all daily close data.
Python/Jupyter notebooks that attempt to read stock market data from Yahoo Finance and predict future values based on ML Models
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.
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.
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