README.md

metadata

title: Stock Forecast App
emoji: 📈
colorFrom: indigo
colorTo: indigo
sdk: docker
pinned: false
license: mit
short_description: Stock Prediction using Flask framework

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

🧠 Stock Price Predictor — Flask + Random Forest

A machine learning web app built using Flask and deployed on Hugging Face Spaces with Docker.
It predicts future stock prices using historical Yahoo Finance data and Random Forest regression.

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🚀 Tech Stack

• Flask — Web framework to build the backend logic and user interface.
• Gunicorn — WSGI production server for running Flask apps.
• YFinance — Fetches live and historical stock data.
• Scikit-learn — Implements the Random Forest prediction model.
• Pandas & NumPy — For data manipulation and mathematical operations.

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⚙️ Features

✅ Fetch 5 years of stock data from Yahoo Finance
✅ Compute indicators (RSI, MACD, Moving Averages)
✅ Predict next 30-day prices using Random Forest
✅ Detect trend (Bullish / Bearish / Sideways)
✅ Suggest entry and stop-loss points
✅ Display detailed report and 30-day recent table

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🐳 Deployment on Hugging Face

This Space uses Docker runtime.

Files used:

• Dockerfile — Defines the container environment
• requirements.txt — Lists Python dependencies
• app.py — Contains Flask application logic

To deploy:

1. Create a new Hugging Face Space.
2. Choose Docker as the SDK.
3. Upload app.py, requirements.txt, and Dockerfile.
4. Click Deploy Space — your Flask app will run automatically on port 7860.