Learn how to build powerful Telegram bots for the stock market using Python. This hands-on course guides you through creating bots that fetch real-time financial data, generate dynamic Plotly charts, and send personalized scanner alerts. By the end of the course, you will be able to deploy and manage your bots on DigitalOcean/Amazon AWS, providing valuable tools for traders and investors. Ideal for Python developers looking to integrate financial data and interactive bot functionalities, this course covers everything from basic bot development to advanced features and deployment strategies. We will be using the ChatGPT-4 (GPT-4) model to build the Python codes, and all the prompts used in the sessions will be shared.
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Session 1: Introduction and Basic Bot Development
- Overview of Telegram Bots:
- What are Telegram bots?
- Use cases and benefits for traders and investors.
- Setting Up Your Development Environment:
- Installing Python and necessary libraries.
- Setting up a virtual environment.
- Creating Your First Telegram Bot:
- Registering your bot with BotFather.
- Getting your bot token.
- Writing a simple “Hello World” bot.
- Telegram Bot API Basics:
- Understanding the Bot API.
- Sending and receiving messages.
- Handling commands and user inputs.
- Integrating with Financial APIs:
- Fetching stock data using yfinance.
- Displaying stock quotes in the bot.
Session 2: Advanced Bot Features and Plotly Charts
- Building Interactive Bots:
- Using inline keyboards and custom keyboards.
- Handling callbacks and user interactions.
- Creating Plotly Charts:
- Introduction to Plotly for data visualization.
- Fetching stock data with yfinance.
- Building and customizing candlestick charts with Plotly.
- Sending charts as images in Telegram messages.
- Fetching and Displaying Market Data:
- Creating commands for real-time data.
- Displaying market summaries and stock details.
- Creating and Sending Scanner Alerts:
- Introduction to stock scanners.
- Setting up criteria for scanner alerts.
- Sending real-time scanner alerts with charts.
Session 3: Hosting, Deployment, and Enhancements
- Hosting and Deployment on DigitalOcean:
- Setting up a DigitalOcean account.
- Creating and configuring a Droplet.
- Setting up the server environment.
- Deploying the bot on DigitalOcean.
- Adding Notifications and Alerts:
- Setting up alerts for stock price changes.
- Sending daily/weekly market summaries.
- Final Project and Course Wrap-Up:
- Building a comprehensive trading bot.
- Combining all learned skills.
- Q&A and troubleshooting common issues.
- Future learning paths and resources.
Course Materials:
- Code Samples:
- Sample bot code for each session.
- Detailed explanations and comments in the code.
- Reading Materials:
- Links to official documentation.
- Additional resources and articles.
- Video Tutorials:
- Step-by-step video guides for each session.
- Recorded lectures and demonstrations.
- Prompts Used:
- All prompts used with ChatGPT-4 (GPT-4) for building the Python codes.
Tools and Technologies:
- Programming Language:
- Python
- Libraries and Frameworks:
- python-telegram-bot, yfinance, plotly, pandas, requests
- Hosting Platform:
- DigitalOcean
- Development Environment:
- Visual Studio Code
By completing this course, you will gain the skills to build and deploy robust Telegram bots that provide real-time stock market data and alerts. You will learn to harness the power of Python and integrate it with financial data APIs, creating dynamic visualizations and valuable tools for traders and investors. Whether you’re looking to enhance your development skills or provide new services to your clients, this course offers a comprehensive path to mastering stock market-based Telegram bots. All the code will be generated using ChatGPT-4 (GPT-4), and the prompts used will be shared to enhance your understanding and application of the technology.
