VecViz on OpenBB Filter: Jan2026 review/ Feb2026 Update

2/11/2026

Strong January 2026 performance driven by P/E Ratio and EDB Return criteria

If purchased at the closing price of 1/13/261, the average of the 19 tickers in our 1/12/ 2026 close-based OpenBB filter returned +5.91% through the 2/10/26 close.  This compares very favorably with both the SPY, with a price return of -0.24% for the same period, and the average price return of the 130 tickers in the screen, which came in at +2.90%. 

See below for a comparison of the distribution of tickers that met the filtered criteria (orange) and the population they were drawn from (blue).

Given 130 tickers with a mean return of 2.90% and a standard deviation of returns across tickers of 11.81%, the odds of choosing 16 tickers with an average return of 5.91% at random is just 13.8%. So what drove the performance? The performance of the filter was driven by the P/E Ratio criteria, followed by the EDB Return criteria.

Filter refreshed as of the 2/10/26 close generates just 11 tickers.

We applied the same OpenBB Workspace filter criteria to the same ticker universe discussed above this morning, to 2/10/26 closing data (i.e., yesterday’s closing data). Eleven tickers of the 129 tickers (CMA fell out of our universe via acquisition) met the criteria, described and listed below. This is a decline from January, when sixteen tickers met our criteria, which in turn was a decline from December, when 19 tickers met the criteria. The tickers meeting the criteria this morning are described and detailed below:

  • One is “tech” oriented (META).
  • Five are repeats from last month: META, VNO, CCL, HCA, AZO
  • Two are travel/leisure related (WYNN and CCL)
  • Two are banks (JPM and FITB)
  • A Homebuilder (DHI), Auto-parts supplier (AZO), a REIT (VNO), an Insurer (ACGL) and a gold miner (NEM) round out the group.
The tickers meeting the filter’s criteria have less momentum and lower P/E ratios, higher EUB Ret and EDB Ret, and higher V-Scores than the average (or even median) ticker considered. But note that they also have lower 99D Ret.

The number of tickers meeting each element of the screening criteria is given below. The V-Score o criteria is most stringent, followed by the P/E Ratio:

Top and Bottom Volume Significance Overlay

With the help of Jessie Li, we recently pointed out that V-Score, and to a lesser extent, Vector Model price probability percentile estimates such as EUB and EDB, are more accurate in tickers for which Top and Bottom trading volume is significantly greater than non-Top and Bottom trading volume.

Of the tickers meeting the criteria as of the 2/10/26 close, DHI and ACGL lack that significant volume edge in their Tops and Bottoms. If not for the fact that we would have fewer than 10 tickers if we excluded them from the filter results, I would exclude them. In other words, I am including them for diversification purposes.

Interested in getting access to VecVIz analytics via API for the OpenBB so you can run this screen or countless variations of it, whenever you want? Reach out to us at coyner@vecviz.com.

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