Best Growth Stocks 2026 — Framler engine

The 25 highest-scoring growth-tagged stocks on the Framler engine — daily refresh. High-revenue-velocity, expanding-margin names with momentum confirmation. 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
LLY
Eli Lilly and Company
Healthcare91bullish+3.9%
2
LYFT
Lyft Inc.
Technology89bullish-1.1%
3
DUOL
Duolingo Inc.
Technology89bullish+4.8%
4
WING
Wingstop Inc.
Consumer84bullish+0.6%
5
COIN
Coinbase Global
Technology80bullish-3.2%
6
MRNA
Moderna Inc.
Healthcare80bullish+1.1%
7
MCO
Moody's Corporation
Financial Services78bullish+0.1%
8
ARM
Arm Holdings plc American Depositary Shares
Semiconductors77bullish-5.2%
9
NFLX
Netflix Inc.
Communication Services77bullish+2.9%
10
EPAM
EPAM Systems
Technology76bullish-0.1%
11
CLS
Celestica Inc.
Technology76bullish-1.0%
12
DKNG
DraftKings Inc.
Consumer76bullish+1.0%
13
WDAY
Workday Inc.
Technology75bullish+2.5%
14
TSM
Taiwan Semiconductor
Semiconductors75bullish-0.4%
15
SMCI
Super Micro Computer
Technology73bullish+1.1%
16
VRTX
Vertex Pharmaceuticals
Healthcare73bullish+5.6%
17
ENPH
Enphase Energy
Energy72bullish-2.3%
18
NXPI
NXP Semiconductors
Semiconductors72bullish-2.6%
19
NIO
NIO Inc.
Consumer71bullish+1.7%
20
REGN
Regeneron Pharmaceuticals
Healthcare71bullish+3.0%
21
HUBS
HubSpot Inc.
Technology71bullish+2.6%
22
RDDT
Reddit Inc.
Communication Services70bullish-1.8%
23
SOFI
SoFi Technologies
Financial Services70bullish-1.4%
24
UNH
UnitedHealth Group
Healthcare69bullish+0.4%
25
PYPL
PayPal Holdings
Financial Services69mixed0.0%
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How this leaderboard is built

Every growth 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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