brittojo7n/BigDataProject-StockMarketTrendAnalysisAndPrediction
A comprehensive project leveraging big data techniques for stock market prediction and analysis. This repository includes data collection, processing, and visualization tools, alongside machine learning models for predicting stock prices and analyzing market trends. Ideal for financial analytics and investment strategies.
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:
pandasfor stock data extractionmatplotlibandseabornfor 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