FUND%Short InterestInsider Edge

SCREENERS

Top FUND% Stocks — All 11 S&P 500 Sectors

4-factor attribution screen — top 20 per sector — select lookback below

AI SYNTHESIS

claude-opus-4-8

FUND% screen flags high idiosyncratic (EPS-driven) alpha, but low R² warns the factor model explains little of these names.

The 2026-07-14 3mo screen surfaces 25 names with high FUND% (80-86), meaning most of their 3mo return is attributed to the idiosyncratic/EPS residual rather than market/sector/subsector betas. The strongest positive residuals are DDOG (eps_cum 83.48, total_cum 90.41, daily_alpha 132.5bps), FTNT (eps_cum 64.32, alpha 102.1bps), HUM (eps_cum 61.86, total 75.04, alpha 98.2bps) and CNC (eps_cum 57.31, total 60.48, alpha 91.0bps) — all showing large positive stock-specific drift. On the downside, CHTR (total_cum -51.02, eps_cum -42.29, alpha -67.1bps), TSCO (total -39.01, eps -42.83, alpha -68.0bps) and LDOS (total -35.72, alpha -56.1bps) carry deeply negative idiosyncratic returns despite ranking high on FUND%. A critical caveat: R² is low across the board (CNC 0.101, CDW 0.126, LDOS 0.129, CVS 0.152 up to MPC's 0.599), so for most names the factor decomposition fits poorly and the "alpha" is largely unexplained variance. The sector/subsector ETF mappings also look scrambled (ADM→XLE/XLB, CNC→XLE/XLF, DDOG→XLU/XLI), so beta_sec/beta_sub attributions should be treated skeptically.

CONDITIONAL ACTIONS

If you use this screen to source long ideas, prioritize names where high FUND% pairs with a less-degenerate fit — MPC (R² 0.599, eps_cum 35.27, alpha 56.0bps) is the only one above 0.5; treat sub-0.15 R² names (CNC 0.101, CDW 0.126, LDOS 0.129) as low-conviction until fit improves.

MEDIUM

basis: r_squared column; MPC 0.599 vs CNC 0.101, CDW 0.126, LDOS 0.129

The largest positive idiosyncratic movers to investigate for continuation are DDOG, FTNT, HUM and CNC; if their EPS-driven residual (eps_cum 83.48 / 64.32 / 61.86 / 57.31) is confirmed by actual earnings catalysts rather than noise, they warrant a closer fundamental look.

MEDIUM

basis: eps_cum and total_cum for DDOG 90.41, FTNT 73.91, HUM 75.04, CNC 60.48

The deeply negative residual names (CHTR total_cum -51.02, TSCO -39.01, LDOS -35.72) flag stock-specific weakness; if you hold any, review whether the negative eps_cum reflects a real earnings deterioration before adding.

MEDIUM

basis: total_cum/eps_cum negatives: CHTR -51.02/-42.29, TSCO -39.01/-42.83, LDOS -35.72/-35.34

Do not rely on the sector/subsector beta attributions for these names until the ETF mappings are verified — an industrials software name like DDOG mapped to XLU/XLI and staples/energy mismatches suggest a labeling or data-pipeline issue.

HIGH

basis: sector_etf/subsector_etf: DDOG XLU/XLI, ADM XLE/XLB, CNC XLE/XLF

CAVEATS

  • ·Data is truncated — only ~11 of the top 25 rows are visible, so NWS and the remainder of the list were not assessed.
  • ·FUND% is a residual/attribution metric from a 4-factor model, not a forward return forecast; a high FUND% can be negative alpha (e.g. TSCO, CHTR) just as easily as positive.
  • ·R² is low for most names (many <0.25), meaning the factor decomposition and its beta/alpha split are statistically weak and could be largely noise.
  • ·Sector/subsector ETF assignments appear inconsistent with the companies (e.g. DDOG→XLU), casting doubt on the beta_sec/beta_sub figures.
  • ·3mo lookback is short and cumulative returns (cum values) reflect that window only; no live position or valuation data is included.

AI-generated synthesis of this page's own data — not investment advice. Verify before acting.

LOOKBACK

TOP 20 STOCKS BY FUNDAMENTAL ATTRIBUTION — 3M LOOKBACK — ALL 11 SECTORS

ENRS Energy
MPC84%
PSX79%
VLO74%
EXE70%
EQT69%
TRGP69%
BKR67%
SLB66%
OKE64%
WMB61%
HAL55%
FANG54%
EOG52%
TPL51%
KMI47%
CVX41%
OXY37%
XOM34%
DVN30%
COP29%
MATR Materials
LIN66%
NUE65%
STLD65%
NEM64%
CRH62%
AVY61%
MLM60%
ALB58%
APD56%
DOW54%
DD54%
SHW53%
BALL53%
FCX52%
CTVA50%
CF49%
LYB49%
MOS45%
IFF44%
VMC40%
INDU Industrials
LDOS83%
HII77%
EXPD72%
NOC68%
ROL67%
GWW67%
HUBB66%
LHX66%
PNR66%
BLDR64%
LMT63%
CPRT62%
UNP62%
AOS62%
OTIS61%
HON61%
FAST59%
IR58%
ADP58%
URI58%
COND Consumer Discretionary
TSCO85%
LVS76%
LULU75%
HAS74%
SBUX72%
LOW72%
EBAY70%
MGM70%
ULTA69%
AZO69%
DPZ66%
BBY62%
MCD61%
TPR60%
NVR58%
GRMN57%
TJX56%
LEN55%
CVNA53%
ORLY53%
CONS Consumer Staples
ADM86%
SYY78%
BF-B77%
STZ76%
KDP73%
MNST71%
SJM68%
KMB68%
PM64%
CASY63%
KHC62%
HSY61%
CLX61%
TGT58%
HRL56%
KO56%
PEP55%
MO53%
TAP52%
TSN50%
HLTH Health Care
CNC86%
CVS83%
HUM82%
UNH79%
ZTS79%
WST78%
UHS77%
DVA77%
BSX75%
ELV73%
PFE71%
HCA70%
GEHC69%
REGN66%
RMD65%
BIIB60%
ISRG60%
PODD59%
GILD59%
ABT57%
FINL Financials
ICE71%
AIZ69%
CME65%
GL61%
JKHY60%
ALL50%
SYF48%
PGR47%
AJG46%
COIN46%
FIS44%
AFL44%
BLK44%
PFG43%
FISV43%
COF43%
AON43%
KKR41%
STT41%
BX41%
INFT Information Technology
DDOG83%
CDW80%
FTNT80%
INTU79%
HPQ77%
CRWD72%
FFIV72%
NTAP69%
TRMB69%
DELL68%
PANW65%
VRSN65%
TEL64%
FICO61%
CSCO60%
HPE59%
MSI58%
CTSH57%
TDY54%
AAPL53%
TELS Communication Services
CHTR83%
NWS80%
NFLX75%
NWSA69%
CMCSA67%
ECHO62%
EA61%
WBD56%
LYV56%
TKO55%
PSKY53%
DIS52%
FOXA49%
T48%
TTWO45%
FOX43%
TTD38%
GOOG19%
GOOGL18%
OMC15%
UTIL Utilities
D76%
AES72%
LNT64%
PNW63%
CNP58%
DTE56%
EIX55%
NRG54%
ES53%
EVRG51%
SO51%
CEG48%
AEE47%
WEC47%
ETR41%
XEL39%
ED39%
PPL38%
AEP33%
CMS32%
RLST Real Estate
ESS75%
INVH63%
FRT59%
SBAC57%
EQR57%
DLR55%
WY55%
CBRE54%
UDR53%
WELL51%
KIM49%
AVB49%
HST45%
DOC45%
CPT45%
VTR45%
VICI41%
BXP41%
EQIX37%
CCI37%
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95807060504030
FUNDAMENTAL % of total attribution
Green dot = long signal (ε > 0)Red dot = short signal (ε < 0)Purple ring/dot = compression (strongest long)

SIGNAL BOARD

Ranked by magnitude of idiosyncratic return (ε_cum)

LOOKBACK
◆ COMPRESSION (9)all systematic factors negative + ε positive — strongest long setup
VRSNINFT
-1.7%-1.2%-2.0%+9.2%FUND% 65%
JKHYFINL
-1.5%-1.1%-2.8%+8.2%FUND% 60%
CNPUTIL
-4.1%-1.9%-0.3%+8.6%FUND% 58%
DTEUTIL
-2.6%-2.1%-0.3%+6.4%FUND% 56%
EIXUTIL
-3.5%-1.9%-1.2%+8.1%FUND% 55%
SOUTIL
-3.6%-2.0%-0.4%+6.1%FUND% 51%
WECUTIL
-3.3%-1.9%-0.4%+4.9%FUND% 47%
XELUTIL
-1.8%-2.4%-0.2%+2.8%FUND% 39%
CMSUTIL
-4.9%-2.1%-0.4%+3.5%FUND% 32%
LONG CANDIDATEShighest positive ε (informed buying)
TICKER
FUND%ε_cumα/day
DDOGINFT
83%+83.48%+132.5 bps
DELLINFT
68%+70.76%+112.3 bps
FTNTINFT
80%+64.32%+102.1 bps
HUMHLTH
82%+61.86%+98.2 bps
CNCHLTH
86%+57.31%+91.0 bps
CRWDINFT
72%+52.99%+84.1 bps
PANWINFT
65%+48.65%+77.2 bps
NTAPINFT
69%+46.01%+73.0 bps
HPEINFT
59%+41.25%+65.5 bps
MPCENRS
84%+35.27%+56.0 bps
DVAHLTH
77%+34.77%+55.2 bps
VLOENRS
74%+32.17%+51.1 bps
WSTHLTH
78%+31.92%+50.7 bps
URIINDU
58%+30.32%+48.1 bps
UNHHLTH
79%+27.72%+44.0 bps
CVSHLTH
83%+27.10%+43.0 bps
FFIVINFT
72%+26.96%+42.8 bps
PSXENRS
79%+26.91%+42.7 bps
ADPINDU
58%+26.34%+41.8 bps
CSCOINFT
60%+26.19%+41.6 bps
SHORT CANDIDATESmost negative ε (informed selling)
TICKER
FUND%ε_cumα/day
ZTSHLTH
79%-60.29%-95.7 bps
BSXHLTH
75%-48.86%-77.6 bps
NEMMATR
64%-47.39%-75.2 bps
HIIINDU
77%-43.43%-68.9 bps
TSCOCOND
85%-42.83%-68.0 bps
ECHOTELS
62%-42.83%-68.0 bps
CHTRTELS
83%-42.29%-67.1 bps
LDOSINDU
83%-35.34%-56.1 bps
HCAHLTH
70%-35.13%-55.8 bps
NOCINDU
68%-35.08%-55.7 bps
FCXMATR
52%-34.44%-54.7 bps
LULUCOND
75%-34.44%-54.7 bps
CTSHINFT
57%-33.66%-53.4 bps
TELINFT
64%-32.46%-51.5 bps
TRMBINFT
69%-32.41%-51.4 bps
ALBMATR
58%-32.40%-51.4 bps
BLDRINDU
64%-32.10%-51.0 bps
CVNACOND
53%-31.32%-49.7 bps
RMDHLTH
65%-30.76%-48.8 bps
LHXINDU
66%-30.75%-48.8 bps

Click any row to view full 4-factor attribution · ◆ = compression signal active

Each cell shows the stock and its FUND% — the share of total cumulative return that is idiosyncratic (unexplained by market, sector, or sub-sector). High FUND% = where informed money is most active.

Last computed: Jul 14, 2026, 10:30 PM UTC

Data sourced from Yahoo Finance · 15-min delayed · updated daily after market close