An alpha factory is never finished, because markets never stop repricing the value of what it knows. At Bountify the research loop is the organizing structure of the entire firm: hypotheses enter, validation kills most of them, survivors trade, live results flow back, and the cycle begins again. The loop has no ceremony and no finish line. It has throughput, yield and feedback, and those are the terms in which we manage it.
Live Results Feed Research
Deployment is not the end of a strategy’s research life; it is the beginning of its most informative phase. Live fills, slippage, tracking error against simulation and behavior in unanticipated regimes all flow back into the research environment as structured data. Sometimes the feedback improves the strategy. More often it improves the factory, exposing an optimistic cost assumption or a blind spot in validation that every future hypothesis will now be tested against.
Retirement Without Sentiment
Every edge decays, and pretending otherwise is how systematic firms bleed. Deployed strategies are monitored against pre-defined decay thresholds, and when live evidence shows an edge has faded, retirement is automatic. No committee argues for an old favorite; no narrative rescues a fading signal. Retirements are logged with the same rigor as deployments, so the factory learns from how edges die. Because new hypotheses enter the queue daily, retirement is not loss but turnover, the ordinary metabolism of a healthy research operation.
Measuring the Loop Itself
The loop is instrumented like any production system: ideas tested per week, survival rates through each validation stage, the longevity of edges after deployment, and the latency between conception and verdict. These metrics, not any single strategy, are what we manage and what we expect to improve over time. Strategies are inventory; they arrive, they work, they expire. The repeatable process that keeps producing them is the asset, and it is the only asset in this business that compounds.