3/12/2026
Weak January 2026 performance driven by P/E Ratio and EUB Return criteria
If purchased at the closing price of 2/11/26, the average of the 11 tickers in our 2/10/2026 close-based filter returned -10.93% through the 3/12/2026 close. This compares poorly with both the SPY, with a price return of -3.74% for the same period, and the average price return of the 130 tickers in the screen, which came in at -6.40%.
However, this weak result follows an initial two months of very strong outperformance, leaving the ticker’s average monthly performance still well ahead of the SPY and the ticker universe average.
See below for a comparison of the distribution of the returns for the tickers that met the 2/11/26 filter criteria (orange) and the population they were drawn from (blue) through 3/12/26:
So what drove the underperformance we saw last month?
The math indicates it was the P/E Ratio and the EUB Ret criteria. However, having two of the eleven ticker tickers in the travel and leisure sector (CCL and WYNN) amidst outbreak of war with Iran and oil soaring to $100+ didn’t help. We noted when we published the February filter results that its tickers had lower 99D Ret than the average ticker in the universe, and we felt its effect in the month that followed.
Filter refreshed as of the 3/12/26 close generates just 9 tickers.
We applied the same OpenBB Workspace filter criteria to the same ticker universe discussed above this morning, to 3/12/26 closing data (i.e., yesterday’s closing data). Nine tickers of the 129 tickers met the criteria, described and listed below. This is a decline from February, when eleven tickers met our criteria, which was 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 trend of SPY and broader universe performance relative to the number of tickers meeting our criteria seen in the table above doesn’t leave an encouraging impression about the prospects for the market in the month ahead.
The tickers meeting the criteria this morning are described and detailed below:
The tickers meeting the filter’s criteria have less negative momentum, less severe 99D, 95D, and EDB Ret and higher V-Scores than the average (or even median) ticker considered, as detailed in the table below:
The number of tickers meeting each element of the screening criteria is given below. The P/E Ratio is the most stringent criteria, followed by the EDB Ret:
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 3/12/26 close, ACGL, CSCO, and PCG lack that significant volume edge in their Tops and Bottoms. Given that the filter is producing so few results 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.