It is an ML-powered stock price prediction app built with Python and Streamlit. It utilizes machine learning models to forecast stock prices and help investors make data-driven decisions.

Stock Prediction Analysis is built with these core frameworks and modules:

• Streamlit - To create the web app UI and interactivity
• YFinance - To fetch financial data from Yahoo Finance API
• StatsModels - To build the ARIMA time series forecasting model
• Plotly - To create interactive financial charts

The app workflow is:

1. User selects a stock ticker
2. Historical data is fetched with YFinance
3. ARIMA model is trained on the data
4. Model makes multi-day price forecasts
5. Results are plotted with Plotly

• Real-time data - Fetch latest prices and fundamentals
• Financial charts - Interactive historical and forecast charts
• ARIMA forecasting - Make statistically robust predictions

1. Clone the repo

git clone https://github.com/iam-yashpradhan/stock_market_predicition_app.git

2. Install requirements

pip install -r requirements.txt

3. Run the app

streamlit 🎯Home.py

The app will be live at http:https://localhost:8501