In-sample vs out-of-sample (which one matters?)
In this short video, Adrian Reid walks through a rapid workflow he used to develop a trading system. He starts by brainstorming ideas, then codes and tests them. He recodes the system to enable in‑sample optimization, followed by a second round of brainstorming that incorporates image‑processing techniques. Those new ideas are coded, tested, and compared across in‑sample and out‑of‑sample data. The entire process, including documentation, took roughly two hours and was captured in a single chat transcript. Reid notes that the interface between the AI assistant Claude and his "retest" tool is still a bit clunky but functional, and he predicts that such a pipeline will dramatically accelerate future system development. The video ends with a promotional call‑to‑action for Enlightened Stock Trading’s free Trader Acceleration Bundle.
