📈 Stock Analyzer

The Stock Analyzer project is a complete stock market analysis tool utilizing ML models. It allows users to input stock symbols, select date ranges, view historical stock trends, and see future stock price predictions via interactive charts.

🚀 Live Demo

View Deployed App on Render

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Overview

📊 Home Page

📈 Stock Analysis View

📈 Stock Predictions

🛠️ Technologies Used

• React: User Interface
• Plotly.js: Interactive visualizations
• Axios: API calls
• Flask: Backend Framework
• yfinance: Stock data extraction
• Pandas: Data manipulation
• Scikit-learn: Machine learning models (Linear Regression, Decision Trees)

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📂 Directory Structure

└── srigadaakshaykumar-stock/  
   ├── README.md # Project documentation  
   ├── package.json # Node.js dependencies and scripts  
   ├── Images/  
   ├── backend/ # Backend code  
   │    ├── Model.keras # Trained machine learning model  
   │    └── app.py # Backend server code  
   ├── public/  
   │    ├── index.html  
   │    ├── manifest.json   
   │    └── robots.txt  
   └── src/   
      ├── App.css # Main stylesheet  
      ├── App.js # Main React component  
      ├── App.test.js   
      ├── index.css    
      ├── index.js  
      ├── reportWebVitals.js  
      ├── setupTests.js  
      └── components/ # Reusable React components  
         ├── Footer.jsx # Footer component  
         ├── Header.jsx # Header component  
         ├── Prediction.jsx # Prediction component  
         ├── StockList.jsx # Stock list component  
         └── Stockdata.jsx # Stock data component  

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API Endpoints

Endpoint	Method	Description
/api/stocks/<ticker>	GET	Fetch historical stock data
/api/predict/<ticker>	GET	Predict future stock prices
/api/profit-calculator	POST	Calculate stock returns

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Data Pipeline Architecture

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📦 Installation and Running Locally

1. Clone the repository:

   git clone https://github.com/yourusername/stock-analyzer-frontend.git
   cd stock-analyzer-frontend
   

2. Install dependencies:

   npm install

3. Start the development server:

   npm start
   

🤝 Contributing

Please Explore the Issues to Contribute. Pull requests are welcome. For major changes or new updates please open an issue first to discuss what you would like to change.