Stock Market Analysis 📈 + Prediction using LSTM in Python
This Jupyter notebook analyzes stock market data, specifically technology stocks like Apple, Amazon, Google, and Microsoft. It uses yfinance to retrieve stock information and visualizes the data using Seaborn and Matplotlib. The analysis includes calculating moving averages, daily returns, and correlations between different stocks. The notebook also includes a prediction of future stock prices using the Long Short Term Memory (LSTM) method.
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This tutorial is based on Jupyter notebook: https://www.kaggle.com/code/faressaya...