Case Studies

In this post we use VecViz’s dashboards to examine the strongest Vector Sets for SPY anchored to tops or bottoms occurring in the pre-Covid period of Trump’s first term to see what insights they offer at this moment. Vector Set vs2: Anchored by 2016-2018 Turning Points As of yesterday’s close (April 2, 2025), the second

We are experts in neither Nvidia (NVDA) nor DeepSeek. We are neither endorsing nor seeking to refute the headline above, but given headlines such as this we seek in this post to demonstrate how to use VecViz’s dashboards to explore DeepSeek’s potential impact on the price of NVDA, and then how to layer in the

VST (Vistra) has been a top performer this year, and is up ~6% today (as of 2:30pm) in the context of a modestly lower S&P 500.  Though we lack VecEvents for Vistra we use the V-Score closest comparables and Vector Strength Histogram to seek some cognition of risk and opportunity, or at least questions to

In this case study we illustrate how the VecViz’s Dashboards, can improve understanding of and provide fertile material for dialogue related to a price forecast by (1) placing the forecast in the context of the strongest historical price channel trajectories (i.e., Vector Sets) supporting it, (2) providing related probability estimates, and (3) allowing for efficient

With “#stockmarketcrash” trending on Twitter / X pre-market yesterday morning, and as a counterpart to “SPY 572… 22 points (and a paradigm shift?) away“, in which we explored the SPY’s upside prospects, here we use the VecViz Dashboard platform to explore the downside prospects of the SPY. We consider the 1 month forward time horizon

See the chart below for the almost entirely clear gap in the Vector Strength Distribution from 572 to 617.  However, a closer look and some consideration reveals that even SPY > 560 is, at present, not easy to justify conceptually.  At ~550, the SPY is currently between the two highest rungs of the levelled up