Top rated stocks today — Framler engine ranking

The 20 highest-scoring stocks on the Framler engine right now. Scores are a composite of 13 academic factor families — quality, value, momentum, insider flow, and 9 more — with Bayesian regime-conditional weighting. Updated daily at 06:00 UTC. Not investment advice.

#TickerSectorScoreVerdictChange
1
GS
Goldman Sachs
Financial Services89mixed-0.5%
2
DUOL
Duolingo Inc.
Technology89bullish+4.8%
3
OWL
Blue Owl Capital
Financial Services88bullish-1.9%
4
PATH
UiPath Inc.
Technology88bullish+3.6%
5
RHI
Robert Half
Industrials87bullish-0.1%
6
LLY
Eli Lilly and Company
Healthcare86bullish+3.9%
7
UPST
Upstart Holdings
Financial Services86mixed-2.8%
8
SPCE
Virgin Galactic
Industrials85bullish+4.2%
9
BLK
BlackRock Inc.
Financial Services85mixed-0.4%
10
M
Macy's Inc.
Consumer Cyclical85bullish-2.0%
11
WING
Wingstop Inc.
Consumer84bullish+0.6%
12
ANF
Abercrombie & Fitch
Consumer Cyclical84bullish+5.2%
13
MTB
M&T Bank Corp
Financial Services84mixed+0.3%
14
TEM
Tempus AI
Healthcare83bullish+5.8%
15
CVNA
Carvana Co.
Consumer Cyclical83bullish+4.7%
16
ASTS
AST SpaceMobile
Communication Services83bullish-4.4%
17
OLLI
Ollie's Bargain Outlet
Consumer Cyclical82bullish-2.8%
18
REGN
Regeneron Pharmaceuticals
Healthcare82bullish+1.6%
19
CLF
Cleveland-Cliffs
Basic Materials81bullish+1.9%
20
TLRY
Tilray Brands
Healthcare81mixed-3.3%

Lowest rated stocks

Stocks with the weakest the composite score signal. Low score does not mean "sell" — it means the academic factors are currently unfavorable.

1
IRIngersoll Rand
Industrials19bearish
2
PGRProgressive Corp
Financial Services26mixed
3
VOD.LVodafone Group
Communication Services27mixed
4
TEF.MCTelefónica S.A.
Communication Services27mixed
5
CVXChevron Corporation
Energy27bearish
6
CDNSCadence Design Systems
Technology27mixed
7
ETNEaton Corporation
Industrials27mixed
8
STXSeagate Technology
Technology28mixed
9
BMW.DEBMW AG
Consumer Cyclical28bearish
10
PSXPhillips 66
Energy29mixed

How the Framler score works

Every day at 06:00 UTC, Framler scores 1000+ publicly traded stocks across 13 peer-reviewed academic factor families: quality (Novy-Marx 2013), value (Fama-French 1992), momentum (George & Hwang 2004), insider flow (Seyhun 1998), post-earnings drift (Bernard-Thomas 1989), accruals quality (Sloan 1996), NLP tone (Loughran-McDonald 2011), options positioning (Pan-Poteshman 2006), sector momentum (Moskowitz-Grinblatt 1999), industry spillover (Cohen-Frazzini 2008), short interest (Asquith-Pathak-Ritter 2005), microstructure (Amihud 2002), and factor interaction (Asness-Moskowitz-Pedersen 2013).

Factors are blended using Bayesian regime-conditional weights — the engine detects whether the market is in an expansion, contraction, or transition phase and adjusts how much weight each factor receives accordingly. Each score comes with a Mondrian conformal prediction interval showing how certain the model is about its call.

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