Stock Market Streamlit Application

Overview

This project is a comprehensive Stock Market Streamlit Application that integrates various features to enhance trading decisions and execution. The application leverages sentiment analysis from Twitter, custom strategy creation, and provides alerts via a Telegram channel. It is also integrated with the Zerodha Kite API for direct trade placement. Rive real-time alert for your created strategy.

Features

1. Sentiment Analysis from Twitter: The application performs sentiment analysis on tweets related to specific stocks to gauge market sentiment and make informed trading decisions.
2. Custom Strategy Creation: Users can create and implement their own trading strategies within the application.
3. Alerts via Telegram: The application sends real-time alerts and notifications about market conditions and strategy outcomes directly to a Telegram channel.
4. Integration with Zerodha Kite API: The application is integrated with the Zerodha Kite API, allowing users to directly place trades based on the strategies and analysis performed within the app.

Technologies Used

• Streamlit: For creating the web application interface.
• Python: The core programming language for backend logic and integration.
• NLTK: For performing sentiment analysis on fetched tweets.
• Telegram Bot API: For sending alerts and notifications to Telegram.
• Zerodha Kite API: For direct trade placement and websocket data

Getting Started

Prerequisites

• Python 3.7 or above
• Zerodha Kite account and API credentials
• Twitter Developer account and API keys
• Telegram account and bot token

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/stock-market-streamlit-app.git
   cd stock-market-streamlit-app