Python Futures Trading Code & Engineering Courses
Endorsement from Dr. Ernie Chan
In "Algorithmic Trading: Winning Strategies," Dr. Ernie Chan acknowledges Bryan Downing for his introduction to essential trading technologies. This recognition underscores the importance of collaboration and knowledge sharing in the development of effective trading strategies.
I am indebted to Bryan Downing for introducing me to some of the trading technologies mentioned in Chapter 1.
Dr. Ernie Chan, Algorithmic Trading: Winning Strategies.
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Research • Engineering • Markets
Market microstructure
The architecture behind faster markets
A closer look at the systems, execution logic, and engineering decisions that shape modern quantitative trading.
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A clear path to production
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01 / Foundations
Build the trading foundations
Understand the core market concepts and system design behind quantitative trading.
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02 / Architecture
Design low-latency systems
Explore the architecture and engineering trade-offs behind performance-critical software.
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03 / Implementation
Work through production-ready C++
Study practical source code and apply established patterns to real trading workflows.
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04 / Testing
Measure and validate
Use profiling, testing, and careful review to evaluate system behavior.
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05 / Deployment
Take your skills further
Build a foundation for continued learning and independent development.
