Readme update

README.md

@@ -10,3 +10,44 @@ 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.
+
+---
+
+## 🚀 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.
+
+---
+
+## ⚙️ 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  
+
+---
+
+## 🐳 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**.
+