Dispatches from the intersection of mathematics, engineering, and finance.
Discover why professional traders choose custom algorithmic trading software over retail platforms like PineScript or Amibroker. Learn about the limitations of retail tools and the benefits of Python/C++ development."
Learn the professional architecture of a high-performance trading bot. Discover why modular design, event loops, and risk layers are essential for robust algorithmic trading systems."
Debating between Python and C++ for your algorithmic trading bot? Understand the trade-offs in speed, development time, and ecosystem support to make the right choice."
Hiring an algo developer? Learn how to vet candidates for quantitative finance skills. Understand the difference between a web developer and a trading systems engineer."
Learn how to build a professional trading desk at home. Discover the essential hardware, software, and cloud infrastructure needed for serious algorithmic trading."
Why do profitable backtests fail in live trading? Explore the technical challenges of deployment, including state reconciliation, API rate limits, and slippage modeling."
Discover why top prop trading firms refuse to use off-the-shelf platforms. A deep dive into custom execution engines, IP control, and the competitive advantage of owning your code."
Does speed matter in algo trading? Learn how latency slippage eats into your profits and the technical steps to minimize execution time."
Deep dive into the architectural differences between Mean Reversion and Trend Following automated trading strategies. Learn how to code robust logic for both."