📈 Building a Professional Trading Bot | Episode 5 – Signal Engine

In this episode we build the Signal Engine, the component responsible for transforming market data and indicators into objective trading signals.

After four episodes of building the architecture, it’s finally time to implement an actual trading strategy. We’ll use the popular 15-Minute Opening Range Breakout (ORB) strategy as an example to demonstrate how a clean software architecture allows complex trading systems to be implemented with surprisingly little code.

In this episode you’ll learn:

✅ Designing a dedicated Signal Engine
✅ Why every component should have one responsibility
✅ Implementing the 15-minute ORB strategy
✅ Building entry and exit signals
✅ Validating trading conditions before generating signals
✅ Separating strategy logic from market data and indicators
✅ Preparing your bot for professional execution

Whether you’re a developer curious about algorithmic trading or a trader looking to automate your strategies, this series focuses on building a scalable, maintainable trading bot from scratch using professional software engineering principles.

📚 Course Series

Episode 1 – The Plumbing Behind Automation
Episode 2 – Market Data Engine
Episode 3 – Market Data Store
Episode 4 – Indicator Engine
Episode 5 – Signal Engine
Coming Next → Episode 6 – Execution Engine

💻 Technologies
Python
Algorithmic Trading
Trading Bot Architecture
Event-Driven Design
Interactive Brokers API
Opening Range Breakout (ORB)

If you’re enjoying the series, consider subscribing so you don’t miss the next episode where we’ll build the Execution Engine and place our first orders through the broker.

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