I've been spending too much time inside trading bot codebases lately. Most of them are one of two things: a 200-line Jupyter notebook that someone calls a "system," or a sprawling monorepo where the strategy logic and exchange integration are so tangled that you can't swap exchanges without rewriting half the code. A few weeks ago I went deep on AlphaStrike , a production-grade crypto perpetual futures bot. Not because the returns were headline-grabbing (though a 2.4 Sharpe is nothing to sneeze at), but because the architecture solves problems most of us hand-wave past. I want to walk through what's interesting, what's novel, and what I'd steal for my own projects. The Problem Space Algorithmic crypto trading sounds simple at the whiteboard: read prices, predict direction, place orders, manage risk. In practice, every layer of that stack will try to kill you. Exchanges are inconsistent.…