/stock_market_predicition_app

Primary LanguagePython

📈 Stock Prediction Analysis

Predicting Stocks with ML

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.

Streamlit App

🏗️ How It's Built

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

🎯 Key Features

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

🚀 Getting Started

Local Installation

  1. Clone the repo
git clone https://github.com/iam-yashpradhan/stock_market_predicition_app.git
  1. Install requirements
pip install -r requirements.txt
  1. Run the app
streamlit 🎯Home.py

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