# Stock Analysis

**Repository Path**: autumn-pool/stock-analysis

## Basic Information

- **Project Name**: Stock Analysis
- **Description**: For our report.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-06-29
- **Last Updated**: 2025-06-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 📈 Microsoft Stock Price Prediction using XGBoost

## Overview
This project predicts Microsoft stock prices for Q2 and Q3 2025 using XGBoost machine learning algorithm, based on financial and stock price data from 2015-2024.

## Quick Start

**Option 1: Run with pre-trained model (Recommended)**
```bash
pip install -r requirements.txt
python visualization.py
```

**Option 2: Retrain from scratch**
```bash
pip install -r requirements.txt
python generate_enhanced_dataset.py
python my_xgboost.py
python visualization.py
```

## Project Structure
```
├── data/                        # Raw data files
├── results/charts/              # Generated visualization charts  
├── generate_enhanced_dataset.py # Data preprocessing
├── my_xgboost.py               # Main ML model
├── visualization.py            # Generate charts
├── enhanced_dataset.csv        # Processed dataset
└── xgboost_model.pkl          # Trained model
```

## Features
- **Data Integration**: Combines financial data with stock technical indicators
- **Feature Engineering**: Creates 11 predictive features from raw data
- **XGBoost Model**: Trains regression model with hyperparameter optimization
- **Visualization**: Generates 5 comprehensive analysis charts
- **Future Prediction**: Forecasts Q2/Q3 2025 stock prices

## Results
- **Q2 2025 Prediction**: $426.04
- **Q3 2025 Prediction**: $410.98
- **Training R² Score**: 0.9992
- **Test RMSE**: $37.03

## Technology Stack
Python • XGBoost • Pandas • NumPy • Matplotlib • Scikit-learn