Botcamp Cohort 11

Your journey begins with understanding the fundamentals of trading bots. We'll explore order book mechanics including the difference between makers and takers, and how queue priority affects your trades. You'll learn about different exchange types (spot vs. perpetual, centralized vs. decentralized) and gain insights into strategy types like directional trading strategies, market making strategies, and more that form the basis of algorithmic trading.

Dive into the technical architecture of Hummingbot with a comprehensive overview of the framework including core components, connector design, strategy implementation, and complementary services. You'll set up your development environment and learn scripting basics such as accessing order books, retrieving candle data, executing trades, and handling events. The session concludes with an introduction to the powerful StrategyV2 framework, covering executors and controllers.

Explore the concept of market making in depth, learning how to select ideal markets for your strategies. You'll study the influential Avellaneda & Stoikov paper that forms the theoretical foundation for many modern market making approaches. The session covers essential aspects of measuring profitability and implementing risk management techniques to protect your capital while maximizing returns.

This hands-on session focuses on implementing advanced trading strategies through Hummingbot's controller system. You'll work with directional controllers including Bollinger Bands and MACD indicators, and even code a new controller from scratch during the live session. The class also covers market making controllers that operate around mid-price with dynamic spreads, as well as generic controllers for arbitrage and cross-exchange market making.

Elevate your trading expertise by exploring sophisticated strategies including arbitrage, cross-exchange market making, and grid trading approaches. This session will help you develop the critical thinking needed to select the optimal strategy for different market conditions and trading objectives, giving you a comprehensive toolkit for algorithmic trading.

Enhance your trading algorithms with practical coding exercises to add multi-timeframe support to directional strategies. You'll develop a statistical arbitrage controller from scratch and learn how to create configurations that run multiple controllers within the same bot instance, maximizing efficiency and creating sophisticated trading systems.

Transition from technical concepts to business applications by exploring market maker business models including liquidity mining,market making-as-a-service, and token loans with embedded options. Learn to identify lucrative opportunities and potential pitfalls while mastering the art of scaling your operations through bot management. The session concludes with critical operational security practices to protect your assets and trading systems.

Prepare for real-world deployment with a deep dive into setting up Hummingbot for production use. You'll learn how to securely deploy the full stack of Backend API, Dashboard, and Broker services, including security best practices. The session covers deploying bots on cloud providers and using the Quants-Lab research repository to interact with the Backend API for managing configurations, monitoring account balances, and controlling bot operations.