Kris Longmore

When I first got interested in trading, The Whitlams were all over Australian radio, and I was making all the beginner mistakes. A big one – focusing on techniques instead of edges. I poured time and energy into building backtesting engines and frameworks for applying all the usual tools – cointegration tests, Hurst exponents, Kalman

The market is a highly competitive beast. If you’ve spotted an edge, others have too. And as capital piles in, most obvious mispricings will eventually decay. Take the reasonably well-known end-of-month bond trade, for example. Towards month end, excess price-insensitive demand for treasuries tends to come in, causing a temporary dislocation from fair value: A

Recently, we had an excellent question on the Trade Like a Quant Discord server: “How do you know if your strategy is working out of coincidence rather than actual edge? The strategy might work over a long period just because of blind luck.” Damn good question. It hits right in the insecurity because the honest

Someone sent me their trading technology blueprint. It was a thing of beauty: timeseries databases, Grafana dashboards, message queues, and all sorts of fancy architecture. My first question: “What are you currently trading?” Their answer: “Nothing yet. But I’m planning a medium frequency stat arb basket trade.” I almost spat out my coffee. Look, I