Best Value Stocks 2026 — Framler engine

The 25 highest-scoring value-tagged stocks on the Framler engine — daily refresh. Discount-to-fair-value names with quality screens applied. Scores combine 13 academic factor families (quality, value, momentum, insider, options flow, NLP, sector, and more) with Bayesian regime-conditional weighting. Updated daily at 06:00 UTC. Not investment advice.

#TickerSectorScoreVerdictChange
1
KMB
Kimberly-Clark
Consumer82bullish-1.1%
2
GIS
General Mills
Consumer79bullish-1.0%
3
XEL
Xcel Energy
Utilities79mixed-0.9%
4
CHTR
Charter Communications
Communication Services79bullish-3.1%
5
MMM
3M Company
Industrials76bullish-1.4%
6
CTSH
Cognizant Technology
Technology76bullish-0.0%
7
HPQ
HP Inc.
Technology74bullish-1.6%
8
BMY
Bristol-Myers Squibb
Healthcare73bullish-3.2%
9
ICE
Intercontinental Exchange
Financial Services73bullish+0.9%
10
STZ
Constellation Brands, Inc.
Consumer73bullish+0.5%
11
JPM
JPMorgan Chase
Financial Services72bullish-1.6%
12
MCO
Moody's Corporation
Financial Services72bullish+0.4%
13
RTX
RTX Corporation
Industrials71bullish-3.7%
14
DELL
Dell Technologies
Technology71bullish-0.6%
15
TGT
Target Corporation
Consumer70bullish-0.5%
16
MRK
Merck & Co.
Healthcare70bullish-2.1%
17
BNPQY
BNP Paribas SA
Financial Services69mixed-1.0%
18
HIG
The Hartford Insurance Group, Inc.
Financial Services69mixed-0.3%
19
JNJ
Johnson & Johnson
Healthcare69bullish-2.2%
20
VLO
Valero Energy
Energy69bullish-1.4%
21
MDT
Medtronic plc
Healthcare68bullish-1.9%
22
CLX
Clorox Company
Consumer68bullish-1.7%
23
DIS
Walt Disney Company
Communication Services68bullish+0.4%
24
CFG
Citizens Financial Group
Financial Services68mixed-1.5%
25
CVS
CVS Health Corporation
Healthcare66bullish0.0%
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How this leaderboard is built

Every value ticker in the Framler universe is scored daily on the same 13 academic factor families: quality, value, momentum, insider flow, post-earnings drift, accruals, NLP tone, options positioning, sector momentum, industry spillover, short interest, microstructure, and factor interaction. Factors are blended using regime-conditional Bayesian weights — the engine detects expansion / contraction / transition regimes via a Bayesian Online Changepoint Detection model and adjusts factor weights accordingly. Each score comes with a Mondrian conformal prediction interval.

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