📈 Stock Analysis Dashboard

An interactive stock analysis dashboard that allows users to analyze historical stock data using Yahoo Finance API.

The project provides a modern animated web interface to retrieve and visualize stock price data for selected tickers within a given date range.

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🚀 Features

📊 Stock Data Retrieval

• Fetch historical stock data using yFinance
• Supports multiple stock tickers
• Select custom date range

💻 Interactive Dashboard

• Modern UI with glassmorphism design
• Animated interface
• Responsive layout

⚡ Fast Backend

• Built with Flask
• API endpoint to fetch stock data
• JSON-based communication

📈 Data Display

Stock data table includes:

• Open price
• High price
• Low price
• Close price
• Volume

🎨 UI Enhancements

• Loading animation
• Hover effects
• Dashboard cards
• Statistics counters

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🖥️ Demo Interface

Dashboard

Users can enter stock tickers and select a date range.

Example input:

TSLA, AMZN, AMD

Data Output

Date	Open	High	Low	Close	Volume

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🏗️ Project Architecture

Stock-Analysis
│
├── app.py              # Flask backend server
├── Stock.py            # Stock data retrieval logic
│
├── templates
│   └── index.html      # Frontend page
│
└── static
    ├── style.css       # Styling and animations
    └── script.js       # API requests and DOM updates

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⚙️ Installation

1️⃣ Clone the Repository

git clone https://github.com/Manu080405/Stock-Analysis.git

cd Stock-Analysis

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2️⃣ Install Dependencies

pip install flask yfinance pandas

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3️⃣ Run the Application

python app.py

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4️⃣ Open in Browser

http://127.0.0.1:5000

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🧠 How It Works

Step 1

User enters:

• Stock tickers
• Start date
• End date

Step 2

Frontend sends request

POST /get_stock

Step 3

Flask backend calls

yfinance.download()

Step 4

Data returned as JSON

Step 5

Frontend renders results in table

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🔌 API Endpoint

POST /get_stock

Request

{
  "tickers": ["TSLA","AMZN"],
  "start_date": "2024-01-01",
  "end_date": "2024-02-01"
}

Response

[
  {
    "Date": "2024-01-01",
    "Open": 230.5,
    "High": 235.1,
    "Low": 228.4,
    "Close": 233.9,
    "Volume": 34000000
  }
]

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🎯 Future Improvements

• 📈 Interactive stock charts
• 📊 Candlestick visualization
• 📉 Moving average indicators
• ⚡ Real-time stock price updates
• 🤖 AI-based stock prediction
• 📊 Portfolio tracking

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🧑‍💻 Tech Stack

Backend

• Python
• Flask

Data API

• yFinance

Frontend

• HTML
• CSS
• JavaScript

Visualization (Future)

• Chart.js
• Plotly

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📚 Learning Outcomes

This project demonstrates:

• REST API development
• Backend–Frontend integration
• Financial data processing
• Interactive UI design
• Flask application architecture

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