Python Futures Trading Code & Engineering Courses

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Dr. Ernie Chan portrait Algorithmic Trading: Winning Strategies book cover

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.

HFTCODE JOURNAL

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.

Read the article
The architecture behind faster markets
Systems thinking for production-grade trading technology

A clear path to production

  1. 01 / Foundations

    Build the trading foundations

    Understand the core market concepts and system design behind quantitative trading.

  2. 02 / Architecture

    Design low-latency systems

    Explore the architecture and engineering trade-offs behind performance-critical software.

  3. 03 / Implementation

    Work through production-ready C++

    Study practical source code and apply established patterns to real trading workflows.

  4. 04 / Testing

    Measure and validate

    Use profiling, testing, and careful review to evaluate system behavior.

  5. 05 / Deployment

    Take your skills further

    Build a foundation for continued learning and independent development.