A backtest is only as clean as its dirtiest input, and in LLM-based strategies, the model itself may be the dirtiest input of all.

Serious investors ask every data provider the same question: “Is your data point-in-time?” When the answer is a credible yes, they lean in, and often pay a large premium. But why is point-in-time data so important? And why do so many providers who claim to have it, still face deal-killing skepticism and long trials? In our latest post, we break down why “point-in-time” has become the standard for top-tier data — and why so many still fail this basic test. vbase.com/blog/why-quants-pa…

Next up in our Quant Summer Lunch & Learn series: Dr. Lisa Borland on modeling extreme market events — from the GFC to COVID — and how quants think about fat tails. 🗓️ June 20, 12pm ET 🔗 Webinar Link: tinyurl.com/ytn6hbhu 🎙️ Co-hosted with @BlueWaterMacro All welcome.