Advanced Trading Bot on DYDX with AWS & Python

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Advanced Trading Bot on DYDX with AWS & Python

Coursera · Intermediate ·☁️ DevOps & Cloud ·3mo ago

Key Takeaways

Builds an advanced trading bot using Python, AWS, and DYDX

Original Description

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Build a sophisticated automated trading bot from scratch with this advanced course combining Python, AWS, and the DYDX decentralized exchange. Learn the core principles of algorithmic trading, statistical arbitrage, and cloud deployment while gaining hands-on experience in designing and coding your own trading system. Your journey begins with mastering manual trading on DYDX and understanding key concepts such as cointegration, Z-score trading, and risk management. You’ll then set up the trading environment, connect to DYDX APIs, and progressively build your bot in multiple stages — from constants configuration to live order execution. Next, you’ll integrate Telegram messaging for real-time alerts and deploy your bot to AWS EC2 for full cloud automation. You’ll also learn essential DevOps practices like code versioning with GitHub, CRON scheduling, and ongoing bot improvements for long-term scalability and performance. This advanced course is ideal for developers, data scientists, and trading enthusiasts who have intermediate Python knowledge and a basic understanding of trading concepts. Prior experience with APIs and cloud platforms will be beneficial but not mandatory. By the end of the course, you will be able to design, code, and deploy a fully automated trading bot on DYDX, manage real-time trading operations on AWS, implement statistical trading strategies, and automate alerts and maintenance workflows efficiently.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Is Multi-AZ Enough for Disaster Recovery? What DORA Actually Asks of Your Application
Learn why Multi-AZ may not be enough for disaster recovery and what DORA asks of your application to ensure resilience
Dev.to · Alex
📰
When fastembed silently rotted my worker: anchor your caches, don't trust /tmp
Learn how to prevent worker crashes by anchoring caches and avoiding trust in /tmp, a crucial lesson for DevOps and software engineers
Dev.to · yogeshchavan2008
📰
Turn redacted HarnessDelta findings into native CI review artifacts
Learn to convert redacted HarnessDelta findings into native CI review artifacts for GitHub Actions and GitLab Code Quality
Dev.to · Nekoautomata Miki
📰
100 Days of DevOps and Cloud (AWS), Day 11: A WAR File Deploys Itself, and an ENI Is a Network Card You Can Move
Learn to deploy a Java web app to Tomcat without a deploy tool and understand the concept of an Elastic Network Interface (ENI) on AWS
Dev.to · Nnamdi Felix Ibe
Up next
AWS, Azure, GCP: The One Thing Every Business Gets Wrong
AI Daily
Watch →