Stock Market Trend Analysis and Prediction

Introduction

Stock Market Trend Analysis and Prediction is a project focused on technical analysis, visualization, and forecasting of stock price behavior using historical market data. We use data from Yahoo Finance (via yfinance) to study major tech stocks like Apple, Google, Amazon, Microsoft, and Tesla.

This notebook uses:

• pandas for stock data extraction
• matplotlib and seaborn for visualization
• LSTM (Long Short-Term Memory) for deep learning-based time series prediction
• Monte Carlo simulation for probabilistic risk analysis

Purpose

The aim of this project is to:

• Analyze and visualize stock market patterns
• Predict future stock price movements
• Evaluate risk using statistical simulations
• Compare algorithm effectiveness

It integrates Data Mining, Statistics, and Deep Learning for practical stock market insights.

Setup

You can run the notebook:

• Locally using Jupyter Notebook
• Or Run in Google Colab