TSLA Dashboard

A comprehensive dashboard for analyzing TSLA stock data using Streamlit and TradingView's Lightweight Charts.

Features

• Interactive candlestick chart with TradingView's Lightweight Charts
• Support and resistance bands visualization
• Trading direction markers (LONG/SHORT)
• AI-powered chatbot for data analysis using Google's Gemini Pro
• Real-time data visualization

Setup

1. Clone the repository
2. Install dependencies:

   pip install -r requirements.txt

3. Create a .env file in the root directory with your Google API key:

   GOOGLE_API_KEY=your_api_key_here
   

4. Place your TSLA data CSV file in the data directory as TSLA.csv

Running the Application

streamlit run app.py

Usage

1. Chart Tab
   • View the candlestick chart with support/resistance bands
   • Hover over candles to see detailed price information
   • Use the mouse wheel to zoom in/out
   • Click and drag to pan the chart

2. AI Chatbot Tab
   • Ask questions about the TSLA data
   • Get insights about price movements, trends, and patterns
   • Analyze trading signals and market conditions

Data Format

The application expects a CSV file with the following columns:

• Date
• open
• high
• low
• close
• Volume
• direction (LONG/SHORT/None)
• Support (list of support prices)
• Resistance (list of resistance prices)

Technologies Used

• Python
• Streamlit
• TradingView Lightweight Charts
• Google Gemini Pro API
• Pandas