Top rated stocks today

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
SWKS
Skyworks Solutions
Semiconductors89bullish+2.7%
2
ASAN
Asana Inc.
Technology89bullish+5.8%
3
LYFT
Lyft Inc.
Technology87bullish+3.1%
4
ASTS
AST SpaceMobile
Communication Services87bullish+3.8%
5
PENN
PENN Entertainment
Consumer Cyclical86bullish+1.7%
6
GLOB
Globant S.A.
Technology85bullish+2.4%
7
PAGS
PagSeguro Digital
Technology84bullish+3.6%
8
NTAP
NetApp Inc.
Technology83bullish+0.6%
9
FITB
Fifth Third Bancorp
Financial Services82bullish+1.2%
10
FDS
FactSet Research
Financial Services82bullish+5.5%
11
WING
Wingstop Inc.
Consumer82mixed-0.2%
12
PSX
Phillips 66
Energy81bullish+2.8%
13
ARM
Arm Holdings
Semiconductors79bullish+2.8%
14
CLX
Clorox Company
Consumer78bullish+2.6%
15
FOUR
Shift4 Payments
Technology77bullish+1.1%
16
PATH
UiPath Inc.
Technology77bullish+3.6%
17
WDC
Western Digital
Technology77bullish-4.8%
18
RHI
Robert Half
Industrials77bullish+4.2%
19
DUOL
Duolingo Inc.
Technology76bullish+1.1%
20
TTD
The Trade Desk
Technology76bullish+5.3%

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
BEAMBeam Therapeutics
Healthcare23bearish
2
SOUNSoundHound AI
Technology27bearish
3
LCIDLucid Group
Consumer Cyclical28bearish
4
BMRNBioMarin Pharmaceutical
Healthcare29bearish
5
SUISun Communities
Real Estate29bearish
6
RUNSunrun Inc.
Technology31bearish
7
SOFISoFi Technologies
Financials31mixed
8
CLSCelestica Inc.
Technology31mixed
9
BIOBio-Rad Laboratories
Healthcare31mixed
10
MPMP Materials
Basic Materials32mixed

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 (Jegadeesh-Titman 1993), 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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