Enroll Course: https://www.udemy.com/course/design-backtest-and-run-your-binance-trading-bot-on-gcp/
In the dynamic world of cryptocurrency trading, having a robust and automated strategy is key to success. The Udemy course ‘Design, Backtest and Run your Binance Trading Bot on GCP’ offers a comprehensive deep dive into building and deploying your own trading bot, and I can confidently say it’s an invaluable resource for anyone looking to elevate their trading game.
This course brilliantly breaks down the complex process into manageable sections. It starts with the fundamentals, guiding you through setting up a local environment with Docker and familiarizing you with the Binance API. You’ll learn how to extract historical data, manage orders (market, OCO, cancel), and even get a solid understanding of popular technical indicators like RSI, Bollinger Bands, and Engulfing Patterns, complete with practical Python implementation using Ta-Lib.
The real magic begins in Section 2, where the course meticulously defines a trading strategy by combining the aforementioned indicators. You’ll learn to program buy signals, visualize indicators alongside price action, and crucially, define stop-loss and take-profit levels. The inclusion of example winning and losing trades makes the strategy concept crystal clear.
Section 3 is where the power of cloud computing comes into play. You’ll learn to containerize your backtesting script using Docker, push it to Google Cloud’s Artifact Registry, and execute it on Google Compute Engine. The integration with BigQuery for logging and results storage is a particularly strong feature, ensuring thorough analysis. The course guides you through constructing the backtesting script, handling fees, and analyzing the results, which is essential for validating any trading strategy.
Finally, Section 4 focuses on deploying the live trading bot. Again, Docker and GCP services are leveraged to ensure your bot can run 24/7. You’ll learn to build a `TradingBot` class that handles trade entry, order management (including OCO orders), fee estimation, and profit/loss tracking. The ability to run the bot locally and on the cloud, with checks for existing open trades, provides a complete operational framework.
The appendix is a thoughtful addition, covering the installation of essential tools like Google Cloud SDK and Docker, enabling necessary cloud components, and setting up service accounts for secure API access. This ensures even beginners can get started without major hurdles.
**Recommendation:**
If you’re serious about algorithmic trading, particularly with the Binance exchange and leveraging cloud infrastructure, this course is a must-have. It strikes a perfect balance between theoretical concepts and practical, hands-on implementation. The instructor’s clear explanations and step-by-step guidance make complex topics accessible. You’ll come away with not just a trading bot, but a deep understanding of the entire lifecycle from strategy development to cloud deployment. Highly recommended!
Enroll Course: https://www.udemy.com/course/design-backtest-and-run-your-binance-trading-bot-on-gcp/