📈 Stock Price Predictor

A machine learning-powered web application that predicts stock price movements using technical indicators and historical data. Built with Flask and powered by Random Forest classification, this tool provides next-day price direction predictions with confidence scores and interactive visualizations.

🌐 Live Demo

Deployment Link: https://stock-price-predictor-cfq7.onrender.com/

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🛠️ Tech Stack

Backend

• Framework: Flask (Python)
• Machine Learning: scikit-learn (Random Forest Classifier)
• Data Processing: pandas, numpy
• Model Training: TimeSeriesSplit for cross-validation

Frontend

• Languages: HTML5, CSS3, JavaScript (ES6+)
• Styling: Tailwind CSS
• Charts: Chart.js
• Design: Responsive, minimalist UI

Data Source

• API: Yahoo Finance (yfinance)
• Data Type: Real-time stock market data
• Indicators: SMA, EMA, RSI, MACD

Additional Tools

• Logging: colorama (colored terminal output)
• Deployment: Render

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🚀 Running Locally

Follow these steps to run the Stock Price Predictor on your local machine:

1. Clone the Repository

git clone https://github.com/AlbatrossC/stock-price-predictor.git
cd stock-price-predictor

2. Install Dependencies

pip install -r requirements.txt

3. Run the Application

python app.py

4. Access the Application

Open your browser and navigate to:

http://127.0.0.1:5000

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📊 Features

• Real-time stock price predictions
• Technical indicator analysis (RSI, MACD, Moving Averages)
• Interactive charts and visualizations
• Model confidence and accuracy metrics
• Responsive design for mobile and desktop
• Company symbol search with autocomplete