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
CHH
Choice Hotels
Consumer Cyclical91bullish-0.0%
2
CPB
Campbell Soup
Consumer Defensive90bullish-0.2%
3
SAM
Boston Beer Company
Consumer Defensive90bullish+2.1%
4
DUOL
Duolingo Inc.
Technology90bullish+0.7%
5
SEDG
SolarEdge Technologies
Technology90bullish-5.2%
6
WEN
The Wendy's Company
Consumer Cyclical89bullish-1.3%
7
SPCE
Virgin Galactic
Industrials89bullish-4.2%
8
SRPT
Sarepta Therapeutics
Healthcare89bullish-2.6%
9
PLUG
Plug Power
Industrials88bullish-2.2%
10
FSLR
First Solar Inc.
Energy87bullish-3.8%
11
PATH
UiPath Inc.
Technology87bullish+0.9%
12
EPAM
EPAM Systems
Technology87bullish-0.6%
13
OWL
Blue Owl Capital
Financial Services86bullish-3.2%
14
FOUR
Shift4 Payments
Technology86bullish+1.5%
15
HIMS
Hims & Hers Health
Healthcare86bullish+2.5%
16
UPST
Upstart Holdings
Financial Services86bullish-5.7%
17
APA
APA Corporation
Energy85bullish+2.2%
18
LLY
Eli Lilly and Company
Healthcare85bullish-2.7%
19
RARE
Ultragenyx Pharmaceutical
Healthcare84bullish-3.5%
20
TEM
Tempus AI
Healthcare84bullish+8.8%

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
BIOBio-Rad Laboratories
Healthcare26mixed
2
KRKroger Co.
Consumer Defensive27bearish
3
MPMP Materials
Basic Materials28mixed
4
ALKSAlkermes plc
Healthcare29bearish
5
FFord Motor
Consumer30mixed
6
HFG.DEHelloFresh SE
Consumer Cyclical31mixed
7
SOUNSoundHound AI
Technology31bearish
8
KTOSKratos Defense
Industrials31bearish
9
LCIDLucid Group
Consumer Cyclical32bearish
10
GMGeneral Motors
Consumer32bearish

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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