← ALL RESEARCH  //  CLEASTOCKS RESEARCH · RATIO ANALYSIS · PANW
SUBJECTPANW WINDOW1Y · 250D CORR120D GENERATED2026-05-06
Reading 43 Lenses On A Single Name

Decompose or mistake
the tide for the swimmer. Forty-three regressions, one verdict.

A single ratio answers a single question. Forty-three of them, run in parallel, separate market beta from sector beta, sector beta from peer competition, and peer competition from valuation drift. This file reads PANW through every lens at once. The point isn't to know the price — it's to know which force is moving it.

[ 01 ]

Decision Tree · Three Numbers, One Verdict

PANW/SPY × PANW/CIBR × CIBR/IGV resolves
company alpha vs sector alpha vs market beta.
PANW / SPY
Is PANW outperforming the broad market?
STRETCHED LOW
z-SCORE−0.93σ 52W RANGE36% (low→high) 30D SLOPE+0.164% / day · rising READINGMarket RS negative → underperforming the index
PANW / CIBR
Is PANW generating alpha within cybersecurity?
NEUTRAL
z-SCORE−0.12σ 52W RANGE54% (low→high) 30D SLOPE+0.238% / day · rising READINGRoughly tracking the cyber basket
CIBR / IGV
Is cybersecurity outperforming software broadly?
STRETCHED HIGH
z-SCORE+1.88σ 52W RANGE88% (low→high) 30D SLOPE+0.004% / day · flat READINGCyber > Software — sector tailwind active
SYNTHESIS

PANW/SPY is stretched low (−0.93σ) — PANW has been underperforming the market over the year, sitting at the 36th percentile of its 1-year range. PANW/CIBR is neutral (−0.12σ) — within its own sector, PANW is tracking the cyber basket. CIBR/IGV is stretched high (+1.88σ) at the 88th percentile — cybersecurity as a sector is strongly bid vs broad software.

The verdict: PANW's underperformance vs SPY is not a PANW story — it's a software-vs-semis story. Inside cyber, PANW is roughly average. Cyber itself is one of the strongest sub-sectors of tech right now (CIBR/IGV at the 88th percentile of its range). The biggest risk to long PANW isn't competitive — it's the AI/semis trade continuing to suck oxygen out of software. If that rotation reverses, the PANW/SPY ratio is positioned to mean-revert higher.

[ 02 ]

Z-Score Tape · 43 Pairs, One Glance

Each tile shows the standardized deviation of the
current ratio from its 1-year mean. ±2σ = mean-revert candidates.
EXTREME LOW EXTREME HIGH −2σ  −1σ  0  +1σ  +2σ
PANW/CHKP +4.53σ
QQQ/SPY +3.57σ
QQQ/HYG +2.71σ
SPY/TLT +2.65σ
PANW/ZS +2.42σ
PANW/QLYS +2.30σ
PANW/IGV +1.99σ
PANW/MSFT +1.90σ
CIBR/IGV +1.88σ
PANW/TENB +1.50σ
PANW/OKTA +1.17σ
PANW/VRNS +1.16σ
HYG/IEF +1.08σ
CRWD/CIBR +0.82σ
FTNT/CIBR +0.37σ
PANW/TLT +0.12σ
PANW/S +0.02σ
PANW/IEF −0.03σ
CIBR/HYG −0.06σ
PANW/JNK −0.11σ
PANW/HYG −0.12σ
PANW/CIBR −0.12σ
PANW/ARKK −0.34σ
PANW/CYBR −0.40σ
PANW/FTNT −0.47σ
PANW/HACK −0.65σ
PANW/QUAL −0.75σ
PANW/IWF −0.78σ
PANW/SPY −0.93σ
PANW/CRWD −0.95σ
PANW/VUG −0.95σ
PANW/DDOG −0.96σ
IWF/IWD −0.97σ
IGV/HYG −1.09σ
PANW/QQQ −1.25σ
PANW/XLK −1.47σ
PANW/MTUM −1.48σ
PANW/SMH −1.60σ
PANW/NET −1.61σ
CIBR/SMH −1.73σ
IGV/SMH −1.75σ
ZS/CIBR −1.88σ
QQQ/SMH −2.00σ
[ 03 ]

Stretched Ratios · The Five Loudest Signals

Top extremes by |z|. These are where the
statistical case for mean-reversion is strongest.

STRETCHED HIGH · MEAN-REVERSION DOWN CANDIDATES5 pairs

PAIRRATIOzNARRATIVE
PANW/CHKP 1.5639 +4.53 0.23 Check Point flat-lining; PANW eating share
QQQ/SPY 0.9417 +3.57 0.91 Mega-cap tech leadership at extreme
QQQ/HYG 8.5287 +2.71 0.40 Risk-on extreme: equities crushing credit
SPY/TLT 8.4721 +2.65 0.01 Stocks-vs-bonds spread blown out
PANW/ZS 1.3015 +2.42 0.38 PANW well ahead of Zscaler — SASE narrative

STRETCHED LOW · MEAN-REVERSION UP CANDIDATES5 pairs

PAIRRATIOzNARRATIVE
QQQ/SMH 1.3040 −2.00 0.77 Semis dominating Nasdaq — "AI alone wins"
ZS/CIBR 1.9946 −1.88 0.56 Zscaler at 52w lows vs cyber sector
IGV/SMH 0.1689 −1.75 0.16 Software at extreme low vs semis
CIBR/SMH 0.1356 −1.73 0.19 Cyber underperforming semis — 1.6% of range
PANW/NET 0.7527 −1.61 0.22 Cloudflare crushing PANW — growth narrative
[ 04 ]

The Forty-Three · Sliced By Decision Layer

Hierarchy follows the analytical funnel:
broad market → sector → peers → factor → macro.
01

Market & Tech Beta

Decomposes PANW vs broad market and broad tech. Answers: is the move idiosyncratic or systemic?
PANW/IGV
HIGH
2.0843
μ 1.8495 · σ 0.1177
z +1.99 · MA +12.7%
1.524 86% ↗ 2.179
CORR
0.72
0.45
β
0.91
SLOPE 30D
+0.27%
PANW/QQQ
LOW
0.2699
μ 0.3182 · σ 0.0385
z −1.25 · MA −15.2%
0.233 24% → 0.389
CORR
0.35
0.14
β
0.81
SLOPE 30D
−0.02%
PANW/SPY
NORMAL
0.2542
μ 0.2855 · σ 0.0338
z −0.93 · MA −11.0%
0.206 36% ↗ 0.339
CORR
0.33
0.13
β
1.02
SLOPE 30D
+0.16%
PANW/XLK
LOW
1.1108
μ 1.3717 · σ 0.1770
z −1.47 · MA −19.0%
1.010 14% ↘ 1.744
CORR
0.39
0.17
β
0.69
SLOPE 30D
−0.17%
02

Cybersecurity Sector

PANW vs the cyber baskets. Pure-play "is PANW generating sector alpha" measure.
PANW/CIBR
NORMAL
2.5960
μ 2.6112 · σ 0.1219
z −0.12 · MA −0.6%
2.291 54% ↗ 2.860
CORR
0.76
0.56
β
1.18
SLOPE 30D
+0.24%
PANW/HACK
NORMAL
2.1963
μ 2.2781 · σ 0.1264
z −0.65 · MA −3.6%
1.974 40% ↗ 2.535
CORR
0.73
0.53
β
1.08
SLOPE 30D
+0.31%
03

Direct Cyber Peers

Head-to-head pair trades. Tells you which competitive narrative the market is rewarding.
PANW/CHKP
EXTREME HIGH
1.5639
μ 1.0079 · σ 0.1226
z +4.53 · MA +55.2%
0.820 96% ↗ 1.594
CORR
0.47
0.23
β
0.45
SLOPE 30D
+1.59%
PANW/CRWD
NORMAL
0.3861
μ 0.4067 · σ 0.0218
z −0.95 · MA −5.1%
0.358 26% ↘ 0.466
CORR
0.78
0.49
β
0.57
SLOPE 30D
−0.10%
PANW/FTNT
NORMAL
2.0460
μ 2.1663 · σ 0.2543
z −0.47 · MA −5.6%
1.735 35% ↗ 2.632
CORR
0.72
0.34
β
0.51
SLOPE 30D
+0.29%
PANW/MSFT
HIGH
0.4472
μ 0.4000 · σ 0.0249
z +1.90 · MA +11.8%
0.319 88% → 0.464
CORR
0.55
0.19
β
0.65
SLOPE 30D
+0.02%
PANW/NET
LOW
0.7527
μ 0.9562 · σ 0.1261
z −1.61 · MA −21.3%
0.703 6% ↗ 1.546
CORR
0.52
0.22
β
0.31
SLOPE 30D
+0.38%
PANW/OKTA
HIGH
2.3663
μ 2.1008 · σ 0.2276
z +1.17 · MA +12.6%
1.485 83% ↗ 2.550
CORR
0.59
0.26
β
0.40
SLOPE 30D
+0.72%
PANW/ZS
EXTREME HIGH
1.3015
μ 0.8187 · σ 0.1993
z +2.42 · MA +59.0%
0.598 91% ↗ 1.372
CORR
0.63
0.38
β
0.47
SLOPE 30D
+0.98%
04

Adjacent / Smaller Peers

Long-tail competitor pairs. Surfaces market-share rotation inside cyber.
PANW/DDOG
NORMAL
1.2625
μ 1.3892 · σ 0.1322
z −0.96 · MA −9.1%
1.084 26% → 1.775
CORR
0.62
0.26
β
0.32
SLOPE 30D
−0.03%
PANW/QLYS
EXTREME HIGH
1.9967
μ 1.5160 · σ 0.2089
z +2.30 · MA +31.7%
1.211 81% ↗ 2.178
CORR
0.38
0.11
β
0.27
SLOPE 30D
+0.83%
PANW/S
NORMAL
11.6003
μ 11.5787 · σ 0.9772
z +0.02 · MA +0.2%
9.273 53% → 13.694
CORR
0.55
0.29
β
0.40
SLOPE 30D
+0.04%
PANW/TENB
HIGH
8.7526
μ 7.1698 · σ 1.0586
z +1.50 · MA +22.1%
5.509 69% ↘ 10.176
CORR
0.58
0.35
β
0.51
SLOPE 30D
−0.16%
PANW/VRNS
HIGH
6.7121
μ 5.0301 · σ 1.4494
z +1.16 · MA +33.4%
3.012 78% ↘ 7.756
CORR
0.56
0.15
β
0.20
SLOPE 30D
−0.30%
05

Factor & Style Exposure

Strips factor risk from idiosyncratic alpha. Quality, momentum, growth, semis.
PANW/HYG
NORMAL
2.3021
μ 2.3276 · σ 0.2176
z −0.12 · MA −1.1%
1.753 56% ↗ 2.736
CORR
0.23
0.09
β
2.40
SLOPE 30D
+0.54%
PANW/IWF
NORMAL
1.5279
μ 1.6665 · σ 0.1779
z −0.78 · MA −8.3%
1.252 36% ↗ 2.022
CORR
0.40
0.17
β
0.88
SLOPE 30D
+0.08%
PANW/MTUM
LOW
0.6320
μ 0.7554 · σ 0.0832
z −1.48 · MA −16.3%
0.562 22% → 0.879
CORR
0.20
0.07
β
0.50
SLOPE 30D
−0.05%
PANW/QUAL
NORMAL
0.8867
μ 0.9722 · σ 0.1134
z −0.75 · MA −8.8%
0.695 43% ↗ 1.145
CORR
0.26
0.11
β
0.94
SLOPE 30D
+0.25%
PANW/SMH
LOW
0.3520
μ 0.5671 · σ 0.1344
z −1.60 · MA −37.9%
0.338 3% ↘ 0.855
CORR
0.14
0.04
β
0.23
SLOPE 30D
−0.38%
PANW/TLT
NORMAL
2.1536
μ 2.1300 · σ 0.1931
z +0.12 · MA +1.1%
1.576 67% ↗ 2.443
CORR
0.06
0.00
β
0.17
SLOPE 30D
+0.62%
06

Sector Rotation Context

No PANW in numerator — these tell you whether cyber itself is in/out of favor.
CIBR/IGV
HIGH
0.8029
μ 0.7093 · σ 0.0499
z +1.88 · MA +13.2%
0.649 88% → 0.823
CORR
0.89
0.77
β
0.75
SLOPE 30D
+0.00%
CRWD/CIBR
NORMAL
6.7240
μ 6.4320 · σ 0.3569
z +0.82 · MA +4.5%
5.665 66% ↗ 7.266
CORR
0.86
0.67
β
1.58
SLOPE 30D
+0.35%
FTNT/CIBR
NORMAL
1.2688
μ 1.2195 · σ 0.1336
z +0.37 · MA +4.0%
1.046 43% ↘ 1.566
CORR
0.72
0.41
β
1.15
SLOPE 30D
−0.07%
ZS/CIBR
LOW
1.9946
μ 3.3581 · σ 0.7271
z −1.88 · MA −40.6%
1.937 2% ↘ 4.353
CORR
0.75
0.56
β
1.54
SLOPE 30D
−0.26%
07

Style & Speculation

Growth-vs-value, speculative vs broad. Risk-appetite read.
IWF/IWD
NORMAL
0.5189
μ 0.5447 · σ 0.0266
z −0.97 · MA −4.7%
0.491 26% ↗ 0.600
CORR
0.66
0.42
β
0.93
SLOPE 30D
+0.22%
PANW/ARKK
NORMAL
2.4025
μ 2.5206 · σ 0.3476
z −0.34 · MA −4.7%
1.966 24% → 3.794
CORR
0.40
0.12
β
0.33
SLOPE 30D
+0.04%
PANW/VUG
NORMAL
2.1822
μ 2.4260 · σ 0.2568
z −0.95 · MA −10.1%
1.832 32% → 2.935
CORR
0.41
0.17
β
0.86
SLOPE 30D
+0.01%
QQQ/SPY
EXTREME HIGH
0.9417
μ 0.8977 · σ 0.0124
z +3.57 · MA +4.9%
0.864 100% ↗ 0.942
CORR
0.95
0.91
β
1.24
SLOPE 30D
+0.21%
08

AI / Semis Rotation

The dominant 2025 trade — semis vs everything else. Context for software underperformance.
CIBR/SMH
LOW
0.1356
μ 0.2163 · σ 0.0466
z −1.73 · MA −37.3%
0.133 2% ↘ 0.310
CORR
0.36
0.19
β
0.33
SLOPE 30D
−0.56%
IGV/SMH
LOW
0.1689
μ 0.3097 · σ 0.0805
z −1.75 · MA −45.5%
0.166 1% ↘ 0.452
CORR
0.29
0.16
β
0.35
SLOPE 30D
−0.49%
QQQ/SMH
LOW
1.3040
μ 1.7584 · σ 0.2276
z −2.00 · MA −25.8%
1.304 0% ↘ 2.200
CORR
0.89
0.77
β
0.48
SLOPE 30D
−0.44%
09

Macro / Credit / Duration

Risk-on vs risk-off. Credit spreads, rates, equity vs bonds.
CIBR/HYG
NORMAL
0.8868
μ 0.8898 · σ 0.0507
z −0.06 · MA −0.3%
0.758 61% ↗ 0.970
CORR
0.32
0.18
β
2.19
SLOPE 30D
+0.33%
HYG/IEF
HIGH
0.8454
μ 0.8385 · σ 0.0065
z +1.08 · MA +0.8%
0.824 79% ↗ 0.851
CORR
0.66
0.23
β
0.41
SLOPE 30D
+0.06%
IGV/HYG
LOW
1.1045
μ 1.2645 · σ 0.1465
z −1.09 · MA −12.7%
0.934 33% ↗ 1.448
CORR
0.29
0.15
β
2.31
SLOPE 30D
+0.29%
PANW/IEF
NORMAL
1.9463
μ 1.9517 · σ 0.1840
z −0.03 · MA −0.3%
1.454 60% ↗ 2.274
CORR
0.05
0.00
β
0.41
SLOPE 30D
+0.60%
PANW/JNK
NORMAL
1.9121
μ 1.9316 · σ 0.1799
z −0.11 · MA −1.0%
1.455 56% ↗ 2.270
CORR
0.22
0.08
β
2.27
SLOPE 30D
+0.54%
QQQ/HYG
EXTREME HIGH
8.5287
μ 7.3505 · σ 0.4354
z +2.71 · MA +16.0%
6.184 100% ↗ 8.529
CORR
0.61
0.40
β
2.40
SLOPE 30D
+0.65%
SPY/TLT
EXTREME HIGH
8.4721
μ 7.4913 · σ 0.3699
z +2.65 · MA +13.1%
6.389 100% ↗ 8.472
CORR
0.29
0.01
β
0.15
SLOPE 30D
+0.52%
10

M&A / Acquisition Digestion

Single-pair: PANW vs CYBR — the CyberArk integration question.
PANW/CYBR
NORMAL
0.1410
μ 0.1561 · σ 0.0380
z −0.40 · MA −9.7%
0.094 36% ↗ 0.225
CORR
−0.08
0.00
β
−0.02
SLOPE 30D
+0.67%
[ 05 ]

Full Reconstruction · All 43 Pairs

Every comparison gets the complete
4-panel Godel "GR" window, grouped by category.
01
Market & Tech Beta
4 pairs · Decomposes PANW vs broad market and broad tech. Answers: is the move idiosyncratic or systemic?
PANW / IGV
Software beta — strips the AI/semi trade out.
HIGH · z +1.99σ
PRICE · NORMALIZED 100PANW 183.98 · IGV 88.27
778898109119 May 07 May 05
RATIO · PANW / IGVμ 1.8495 · σ 0.1177 · z +1.99
1.5341.8502.179 May 07 May 05
120D ROLLING CORRELATIONlast 0.72 · range 0.550.84
−0.050.000.84 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.908x + 0.040 Beta (β)0.908 Adj Beta0.938 Alpha (α)0.040 Pearson R0.672 0.451 Std Dev Err1.620 Significance0.00e+0 Last t-value−0.111 Last p-value0.912
RATIO METRICS
Current2.0843 52w Low1.5239 52w High2.1791 % of range85.5% z-score+1.99σ MA pos.+12.7% 30D slope+0.270%/d 90D return+20.5%
PANW / QQQ
Tech-heavy market beta — Nasdaq-100 read.
LOW · z −1.25σ
PRICE · NORMALIZED 100PANW 183.98 · QQQ 681.61
7793109125141 May 07 May 05
RATIO · PANW / QQQμ 0.3182 · σ 0.0385 · z −1.25
0.2350.3180.389 May 07 May 05
120D ROLLING CORRELATIONlast 0.35 · range 0.340.78
−0.050.000.77 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.811x − 0.103 Beta (β)0.811 Adj Beta0.873 Alpha (α)−0.103 Pearson R0.380 0.144 Std Dev Err2.023 Significance5.39e−10 Last t-value−0.624 Last p-value0.533
RATIO METRICS
Current0.2699 52w Low0.2331 52w High0.3893 % of range23.6% z-score−1.25σ MA pos.−15.2% 30D slope−0.017%/d 90D return−10.0%
PANW / SPY
Market beta — does PANW drift with the S&P or against it?
NORMAL · z −0.93σ
PRICE · NORMALIZED 100PANW 183.98 · SPY 723.77
7790103116129 May 07 May 05
RATIO · PANW / SPYμ 0.2855 · σ 0.0338 · z −0.93
0.2090.2860.339 May 07 May 05
120D ROLLING CORRELATIONlast 0.33 · range 0.330.77
−0.050.000.77 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 1.020x − 0.096 Beta (β)1.020 Adj Beta1.013 Alpha (α)−0.096 Pearson R0.366 0.134 Std Dev Err2.036 Significance2.56e−9 Last t-value−0.509 Last p-value0.611
RATIO METRICS
Current0.2542 52w Low0.2061 52w High0.3391 % of range36.1% z-score−0.93σ MA pos.−11.0% 30D slope+0.164%/d 90D return−6.3%
PANW / XLK
Tech-sector beta — strips out non-tech sectors.
LOW · z −1.47σ
PRICE · NORMALIZED 100PANW 183.98 · XLK 165.63
7796115134153 May 07 May 05
RATIO · PANW / XLKμ 1.3717 · σ 0.1770 · z −1.47
1.0131.3721.744 May 07 May 05
120D ROLLING CORRELATIONlast 0.39 · range 0.360.77
−0.050.000.77 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.689x − 0.113 Beta (β)0.689 Adj Beta0.791 Alpha (α)−0.113 Pearson R0.407 0.166 Std Dev Err1.998 Significance2.18e−11 Last t-value−0.862 Last p-value0.389
RATIO METRICS
Current1.1108 52w Low1.0096 52w High1.7436 % of range13.8% z-score−1.47σ MA pos.−19.0% 30D slope−0.173%/d 90D return−13.2%
02
Cybersecurity Sector
2 pairs · PANW vs the cyber baskets. Pure-play "is PANW generating sector alpha" measure.
PANW / CIBR
Sector alpha — pure-play "is PANW > cyber basket?"
NORMAL · z −0.12σ
PRICE · NORMALIZED 100PANW 183.98 · CIBR 70.87
778797107117 May 07 May 05
RATIO · PANW / CIBRμ 2.6112 · σ 0.1219 · z −0.12
2.3102.6112.860 May 07 May 05
120D ROLLING CORRELATIONlast 0.76 · range 0.710.89
−0.050.000.89 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 1.179x − 0.016 Beta (β)1.179 Adj Beta1.120 Alpha (α)−0.016 Pearson R0.748 0.559 Std Dev Err1.453 Significance0.00e+0 Last t-value−1.509 Last p-value0.133
RATIO METRICS
Current2.5960 52w Low2.2909 52w High2.8596 % of range53.7% z-score−0.12σ MA pos.−0.6% 30D slope+0.238%/d 90D return+1.0%
PANW / HACK
Second-look on cyber-sector alpha (older, narrower ETF).
NORMAL · z −0.65σ
PRICE · NORMALIZED 100PANW 183.98 · HACK 83.77
778797107117 May 07 May 05
RATIO · PANW / HACKμ 2.2781 · σ 0.1264 · z −0.65
1.9942.2782.535 May 07 May 05
120D ROLLING CORRELATIONlast 0.73 · range 0.680.88
−0.050.000.88 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 1.076x − 0.039 Beta (β)1.076 Adj Beta1.051 Alpha (α)−0.039 Pearson R0.730 0.532 Std Dev Err1.496 Significance0.00e+0 Last t-value−1.674 Last p-value0.095
RATIO METRICS
Current2.1963 52w Low1.9737 52w High2.5351 % of range39.6% z-score−0.65σ MA pos.−3.6% 30D slope+0.311%/d 90D return−3.9%
03
Direct Cyber Peers
7 pairs · Head-to-head pair trades. Tells you which competitive narrative the market is rewarding.
PANW / CHKP
PANW vs the legacy operator that has been left behind.
EXTREME HIGH · z +4.53σ
PRICE · NORMALIZED 100PANW 183.98 · CHKP 117.64
536985101117 May 07 May 05
RATIO · PANW / CHKPμ 1.0079 · σ 0.1226 · z +4.53
0.8201.0081.564 May 07 May 05
120D ROLLING CORRELATIONlast 0.47 · range 0.270.58
−0.050.000.58 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.446x + 0.113 Beta (β)0.446 Adj Beta0.629 Alpha (α)0.113 Pearson R0.475 0.226 Std Dev Err1.924 Significance1.78e−15 Last t-value−0.367 Last p-value0.714
RATIO METRICS
Current1.5639 52w Low0.8196 52w High1.5944 % of range96.1% z-score+4.53σ MA pos.+55.2% 30D slope+1.595%/d 90D return+57.5%
PANW / CRWD
#1 peer pair — platform-vs-platform.
NORMAL · z −0.95σ
PRICE · NORMALIZED 100PANW 183.98 · CRWD 476.53
7791104118132 May 07 May 05
RATIO · PANW / CRWDμ 0.4067 · σ 0.0218 · z −0.95
0.3680.4070.466 May 07 May 05
120D ROLLING CORRELATIONlast 0.78 · range 0.560.80
−0.050.000.80 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.571x − 0.023 Beta (β)0.571 Adj Beta0.713 Alpha (α)−0.023 Pearson R0.698 0.488 Std Dev Err1.566 Significance0.00e+0 Last t-value−0.753 Last p-value0.452
RATIO METRICS
Current0.3861 52w Low0.3577 52w High0.4665 % of range26.1% z-score−0.95σ MA pos.−5.1% 30D slope−0.103%/d 90D return−1.6%
PANW / FTNT
Valuation arb — high P/E vs low P/E in the same vertical.
NORMAL · z −0.47σ
PRICE · NORMALIZED 100PANW 183.98 · FTNT 89.92
718294105117 May 07 May 05
RATIO · PANW / FTNTμ 2.1663 · σ 0.2543 · z −0.47
1.7632.1662.632 May 07 May 05
120D ROLLING CORRELATIONlast 0.72 · range 0.470.81
−0.050.000.79 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.514x + 0.033 Beta (β)0.514 Adj Beta0.674 Alpha (α)0.033 Pearson R0.584 0.341 Std Dev Err1.776 Significance0.00e+0 Last t-value−0.416 Last p-value0.678
RATIO METRICS
Current2.0460 52w Low1.7352 52w High2.6317 % of range34.7% z-score−0.47σ MA pos.−5.6% 30D slope+0.286%/d 90D return−11.3%
PANW / MSFT
The bundling threat — Microsoft Defender as competitor.
HIGH · z +1.90σ
PRICE · NORMALIZED 100PANW 183.98 · MSFT 411.38
7788100111123 May 07 May 05
RATIO · PANW / MSFTμ 0.4000 · σ 0.0249 · z +1.90
0.3230.4000.464 May 07 May 05
120D ROLLING CORRELATIONlast 0.55 · range 0.150.65
−0.050.000.65 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.647x + 0.020 Beta (β)0.647 Adj Beta0.763 Alpha (α)0.020 Pearson R0.441 0.194 Std Dev Err1.963 Significance2.58e−13 Last t-value0.008 Last p-value0.993
RATIO METRICS
Current0.4472 52w Low0.3192 52w High0.4642 % of range88.3% z-score+1.90σ MA pos.+11.8% 30D slope+0.018%/d 90D return+16.6%
PANW / NET
Edge / growth — PANW vs Cloudflare's growth story.
LOW · z −1.61σ
PRICE · NORMALIZED 100PANW 183.98 · NET 244.43
77108139170201 May 07 May 05
RATIO · PANW / NETμ 0.9562 · σ 0.1261 · z −1.61
0.7240.9561.546 May 07 May 05
120D ROLLING CORRELATIONlast 0.52 · range 0.350.72
−0.050.000.71 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.309x − 0.089 Beta (β)0.309 Adj Beta0.537 Alpha (α)−0.089 Pearson R0.469 0.220 Std Dev Err1.932 Significance4.66e−15 Last t-value−1.562 Last p-value0.120
RATIO METRICS
Current0.7527 52w Low0.7028 52w High1.5458 % of range5.9% z-score−1.61σ MA pos.−21.3% 30D slope+0.382%/d 90D return−18.5%
PANW / OKTA
Identity-as-platform vs single-product vendor.
HIGH · z +1.17σ
PRICE · NORMALIZED 100PANW 183.98 · OKTA 77.75
557186102117 May 07 May 05
RATIO · PANW / OKTAμ 2.1008 · σ 0.2276 · z +1.17
1.5092.1012.526 May 07 May 05
120D ROLLING CORRELATIONlast 0.59 · range 0.340.62
−0.050.000.61 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.397x + 0.063 Beta (β)0.397 Adj Beta0.596 Alpha (α)0.063 Pearson R0.505 0.255 Std Dev Err1.888 Significance0.00e+0 Last t-value−0.339 Last p-value0.735
RATIO METRICS
Current2.3663 52w Low1.4850 52w High2.5505 % of range82.7% z-score+1.17σ MA pos.+12.6% 30D slope+0.717%/d 90D return+11.7%
PANW / ZS
SASE / Zero-Trust narrative — PANW vs the cloud-native alternative.
EXTREME HIGH · z +2.42σ
PRICE · NORMALIZED 100PANW 183.98 · ZS 141.36
537597119141 May 07 May 05
RATIO · PANW / ZSμ 0.8187 · σ 0.1993 · z +2.42
0.6170.8191.347 May 07 May 05
120D ROLLING CORRELATIONlast 0.63 · range 0.520.81
−0.050.000.81 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.470x + 0.088 Beta (β)0.470 Adj Beta0.645 Alpha (α)0.088 Pearson R0.614 0.377 Std Dev Err1.726 Significance0.00e+0 Last t-value−0.072 Last p-value0.942
RATIO METRICS
Current1.3015 52w Low0.5976 52w High1.3722 % of range90.9% z-score+2.42σ MA pos.+59.0% 30D slope+0.979%/d 90D return+59.6%
04
Adjacent / Smaller Peers
5 pairs · Long-tail competitor pairs. Surfaces market-share rotation inside cyber.
PANW / DDOG
Observability sibling — same buyer pool, different product.
NORMAL · z −0.96σ
PRICE · NORMALIZED 100PANW 183.98 · DDOG 145.73
77105133161188 May 07 May 05
RATIO · PANW / DDOGμ 1.3892 · σ 0.1322 · z −0.96
1.0841.3891.775 May 07 May 05
120D ROLLING CORRELATIONlast 0.62 · range 0.340.68
−0.050.000.68 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.322x − 0.046 Beta (β)0.322 Adj Beta0.546 Alpha (α)−0.046 Pearson R0.511 0.261 Std Dev Err1.880 Significance0.00e+0 Last t-value−0.031 Last p-value0.976
RATIO METRICS
Current1.2625 52w Low1.0842 52w High1.7746 % of range25.8% z-score−0.96σ MA pos.−9.1% 30D slope−0.026%/d 90D return−6.9%
PANW / QLYS
Older legacy vuln-mgmt — pricing-power read.
EXTREME HIGH · z +2.30σ
PRICE · NORMALIZED 100PANW 183.98 · QLYS 92.14
647892105119 May 07 May 05
RATIO · PANW / QLYSμ 1.5160 · σ 0.2089 · z +2.30
1.2501.5162.117 May 07 May 05
120D ROLLING CORRELATIONlast 0.38 · range 0.090.71
−0.050.000.68 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.269x + 0.038 Beta (β)0.269 Adj Beta0.510 Alpha (α)0.038 Pearson R0.335 0.112 Std Dev Err2.061 Significance5.49e−8 Last t-value−0.122 Last p-value0.903
RATIO METRICS
Current1.9967 52w Low1.2109 52w High2.1778 % of range81.3% z-score+2.30σ MA pos.+31.7% 30D slope+0.833%/d 90D return+48.8%
PANW / S
PANW vs the highest-growth small-cap pure-play.
NORMAL · z +0.02σ
PRICE · NORMALIZED 100PANW 183.98 · S 15.86
667992104117 May 07 May 05
RATIO · PANW / Sμ 11.5787 · σ 0.9772 · z +0.02
9.45111.57913.564 May 07 May 05
120D ROLLING CORRELATIONlast 0.55 · range 0.410.75
−0.050.000.75 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.396x + 0.023 Beta (β)0.396 Adj Beta0.595 Alpha (α)0.023 Pearson R0.535 0.287 Std Dev Err1.847 Significance0.00e+0 Last t-value−0.539 Last p-value0.590
RATIO METRICS
Current11.6003 52w Low9.2733 52w High13.6942 % of range52.6% z-score+0.02σ MA pos.+0.2% 30D slope+0.043%/d 90D return−8.0%
PANW / TENB
Vulnerability-management head-to-head.
HIGH · z +1.50σ
PRICE · NORMALIZED 100PANW 183.98 · TENB 21.02
536985101117 May 07 May 05
RATIO · PANW / TENBμ 7.1698 · σ 1.0586 · z +1.50
5.6557.1709.692 May 07 May 05
120D ROLLING CORRELATIONlast 0.58 · range 0.450.69
−0.050.000.69 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.511x + 0.078 Beta (β)0.511 Adj Beta0.673 Alpha (α)0.078 Pearson R0.589 0.347 Std Dev Err1.768 Significance0.00e+0 Last t-value−0.486 Last p-value0.628
RATIO METRICS
Current8.7526 52w Low5.5090 52w High10.1761 % of range69.5% z-score+1.50σ MA pos.+22.1% 30D slope−0.163%/d 90D return+13.0%
PANW / VRNS
Data-security focused; smaller-cap valuation pulse.
HIGH · z +1.16σ
PRICE · NORMALIZED 100PANW 183.98 · VRNS 27.41
477093116140 May 07 May 05
RATIO · PANW / VRNSμ 5.0301 · σ 1.4494 · z +1.16
3.0325.0307.619 May 07 May 05
120D ROLLING CORRELATIONlast 0.56 · range 0.260.65
−0.050.000.65 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.204x + 0.030 Beta (β)0.204 Adj Beta0.467 Alpha (α)0.030 Pearson R0.390 0.152 Std Dev Err2.014 Significance1.59e−10 Last t-value−0.171 Last p-value0.864
RATIO METRICS
Current6.7121 52w Low3.0120 52w High7.7562 % of range78.0% z-score+1.16σ MA pos.+33.4% 30D slope−0.298%/d 90D return+19.9%
05
Factor & Style Exposure
6 pairs · Strips factor risk from idiosyncratic alpha. Quality, momentum, growth, semis.
PANW / HYG
Credit / risk-on read.
NORMAL · z −0.12σ
PRICE · NORMALIZED 100PANW 183.98 · HYG 79.92
778797107117 May 07 May 05
RATIO · PANW / HYGμ 2.3276 · σ 0.2176 · z −0.12
1.7902.3282.710 May 07 May 05
120D ROLLING CORRELATIONlast 0.23 · range 0.170.71
−0.050.000.70 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 2.404x − 0.009 Beta (β)2.404 Adj Beta1.941 Alpha (α)−0.009 Pearson R0.297 0.088 Std Dev Err2.089 Significance1.76e−6 Last t-value−0.319 Last p-value0.750
RATIO METRICS
Current2.3021 52w Low1.7531 52w High2.7356 % of range55.9% z-score−0.12σ MA pos.−1.1% 30D slope+0.541%/d 90D return−0.8%
PANW / IWF
Russell 1000 Growth — generic large-cap growth read.
NORMAL · z −0.78σ
PRICE · NORMALIZED 100PANW 183.98 · IWF 120.41
7790104117130 May 07 May 05
RATIO · PANW / IWFμ 1.6665 · σ 0.1779 · z −0.78
1.2641.6672.022 May 07 May 05
120D ROLLING CORRELATIONlast 0.40 · range 0.370.78
−0.050.000.78 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.878x − 0.082 Beta (β)0.878 Adj Beta0.918 Alpha (α)−0.082 Pearson R0.408 0.166 Std Dev Err1.997 Significance2.02e−11 Last t-value−0.333 Last p-value0.740
RATIO METRICS
Current1.5279 52w Low1.2519 52w High2.0223 % of range35.8% z-score−0.78σ MA pos.−8.3% 30D slope+0.083%/d 90D return−2.0%
PANW / MTUM
Momentum factor — is PANW being chased by momentum capital?
LOW · z −1.48σ
PRICE · NORMALIZED 100PANW 183.98 · MTUM 291.10
7792106121135 May 07 May 05
RATIO · PANW / MTUMμ 0.7554 · σ 0.0832 · z −1.48
0.5650.7550.879 May 07 May 05
120D ROLLING CORRELATIONlast 0.20 · range 0.200.77
−0.050.000.77 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.497x − 0.051 Beta (β)0.497 Adj Beta0.663 Alpha (α)−0.051 Pearson R0.259 0.067 Std Dev Err2.112 Significance3.32e−5 Last t-value−0.688 Last p-value0.492
RATIO METRICS
Current0.6320 52w Low0.5619 52w High0.8786 % of range22.1% z-score−1.48σ MA pos.−16.3% 30D slope−0.049%/d 90D return−13.8%
PANW / QUAL
Quality factor exposure — is PANW being valued as quality?
NORMAL · z −0.75σ
PRICE · NORMALIZED 100PANW 183.98 · QUAL 207.50
778899110122 May 07 May 05
RATIO · PANW / QUALμ 0.9722 · σ 0.1134 · z −0.75
0.7050.9721.145 May 07 May 05
120D ROLLING CORRELATIONlast 0.26 · range 0.260.76
−0.050.000.76 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.936x − 0.064 Beta (β)0.936 Adj Beta0.957 Alpha (α)−0.064 Pearson R0.337 0.113 Std Dev Err2.060 Significance4.85e−8 Last t-value−0.430 Last p-value0.668
RATIO METRICS
Current0.8867 52w Low0.6946 52w High1.1448 % of range42.7% z-score−0.75σ MA pos.−8.8% 30D slope+0.255%/d 90D return−4.8%
PANW / SMH
Vs semiconductors — the dominant 2025 trade.
LOW · z −1.60σ
PRICE · NORMALIZED 100PANW 183.98 · SMH 522.69
77117157197238 May 07 May 05
RATIO · PANW / SMHμ 0.5671 · σ 0.1344 · z −1.60
0.3400.5670.855 May 07 May 05
120D ROLLING CORRELATIONlast 0.14 · range 0.130.70
−0.050.000.69 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.231x − 0.072 Beta (β)0.231 Adj Beta0.485 Alpha (α)−0.072 Pearson R0.198 0.039 Std Dev Err2.144 Significance1.66e−3 Last t-value−0.451 Last p-value0.652
RATIO METRICS
Current0.3520 52w Low0.3380 52w High0.8551 % of range2.7% z-score−1.60σ MA pos.−37.9% 30D slope−0.383%/d 90D return−31.5%
PANW / TLT
Duration sensitivity — how rate-sensitive is PANW?
NORMAL · z +0.12σ
PRICE · NORMALIZED 100PANW 183.98 · TLT 85.43
778797107117 May 07 May 05
RATIO · PANW / TLTμ 2.1300 · σ 0.1931 · z +0.12
1.6112.1302.418 May 07 May 05
120D ROLLING CORRELATIONlast 0.06 · range −0.110.23
−0.110.000.23 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.173x + 0.015 Beta (β)0.173 Adj Beta0.446 Alpha (α)0.015 Pearson R0.051 0.003 Std Dev Err2.184 Significance4.24e−1 Last t-value−0.195 Last p-value0.846
RATIO METRICS
Current2.1536 52w Low1.5759 52w High2.4429 % of range66.6% z-score+0.12σ MA pos.+1.1% 30D slope+0.625%/d 90D return+1.3%
06
Sector Rotation Context
4 pairs · No PANW in numerator — these tell you whether cyber itself is in/out of favor.
CIBR / IGV
Cyber sector vs broad software — sector rotation read.
HIGH · z +1.88σ
PRICE · NORMALIZED 100CIBR 70.87 · IGV 88.27
788899109119 May 07 May 05
RATIO · CIBR / IGVμ 0.7093 · σ 0.0499 · z +1.88
0.6500.7090.823 May 07 May 05
120D ROLLING CORRELATIONlast 0.89 · range 0.840.95
−0.050.000.95 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.750x + 0.047 Beta (β)0.750 Adj Beta0.833 Alpha (α)0.047 Pearson R0.876 0.767 Std Dev Err0.670 Significance0.00e+0 Last t-value2.543 Last p-value0.012
RATIO METRICS
Current0.8029 52w Low0.6487 52w High0.8233 % of range88.3% z-score+1.88σ MA pos.+13.2% 30D slope+0.004%/d 90D return+19.3%
CRWD / CIBR
Best growth peer vs sector — does CRWD lead or follow?
NORMAL · z +0.82σ
PRICE · NORMALIZED 100CRWD 476.53 · CIBR 70.87
8697109120132 May 07 May 05
RATIO · CRWD / CIBRμ 6.4320 · σ 0.3569 · z +0.82
5.6806.4327.266 May 07 May 05
120D ROLLING CORRELATIONlast 0.86 · range 0.760.89
−0.050.000.89 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 1.582x + 0.024 Beta (β)1.582 Adj Beta1.390 Alpha (α)0.024 Pearson R0.821 0.673 Std Dev Err1.528 Significance0.00e+0 Last t-value−0.662 Last p-value0.509
RATIO METRICS
Current6.7240 52w Low5.6649 52w High7.2661 % of range66.1% z-score+0.82σ MA pos.+4.5% 30D slope+0.348%/d 90D return+2.7%
FTNT / CIBR
Fortinet vs sector — value-tilt within cyber.
NORMAL · z +0.37σ
PRICE · NORMALIZED 100FTNT 89.92 · CIBR 70.87
718292103114 May 07 May 05
RATIO · FTNT / CIBRμ 1.2195 · σ 0.1336 · z +0.37
1.0551.2191.566 May 07 May 05
120D ROLLING CORRELATIONlast 0.72 · range 0.560.88
−0.050.000.85 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 1.155x − 0.067 Beta (β)1.155 Adj Beta1.104 Alpha (α)−0.067 Pearson R0.644 0.415 Std Dev Err1.902 Significance0.00e+0 Last t-value−0.539 Last p-value0.590
RATIO METRICS
Current1.2688 52w Low1.0460 52w High1.5660 % of range42.9% z-score+0.37σ MA pos.+4.0% 30D slope−0.066%/d 90D return+13.9%
ZS / CIBR
Zscaler vs sector — growth narrative vs basket.
LOW · z −1.88σ
PRICE · NORMALIZED 100ZS 141.36 · CIBR 70.87
537597119141 May 07 May 05
RATIO · ZS / CIBRμ 3.3581 · σ 0.7271 · z −1.88
1.9403.3584.286 May 07 May 05
120D ROLLING CORRELATIONlast 0.75 · range 0.700.88
−0.050.000.88 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 1.538x − 0.198 Beta (β)1.538 Adj Beta1.361 Alpha (α)−0.198 Pearson R0.747 0.557 Std Dev Err1.900 Significance0.00e+0 Last t-value−1.506 Last p-value0.133
RATIO METRICS
Current1.9946 52w Low1.9374 52w High4.3530 % of range2.4% z-score−1.88σ MA pos.−40.6% 30D slope−0.260%/d 90D return−36.7%
07
Style & Speculation
4 pairs · Growth-vs-value, speculative vs broad. Risk-appetite read.
IWF / IWD
Growth vs value — generic style barometer.
NORMAL · z −0.97σ
PRICE · NORMALIZED 100IWF 120.41 · IWD 232.03
100108115123130 May 07 May 05
RATIO · IWF / IWDμ 0.5447 · σ 0.0266 · z −0.97
0.4910.5450.594 May 07 May 05
120D ROLLING CORRELATIONlast 0.66 · range 0.500.88
−0.050.000.88 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.926x + 0.018 Beta (β)0.926 Adj Beta0.950 Alpha (α)0.018 Pearson R0.646 0.417 Std Dev Err0.775 Significance0.00e+0 Last t-value−0.652 Last p-value0.515
RATIO METRICS
Current0.5189 52w Low0.4905 52w High0.6004 % of range25.8% z-score−0.97σ MA pos.−4.7% 30D slope+0.217%/d 90D return−8.2%
PANW / ARKK
Speculative growth — am I being treated as speculation?
NORMAL · z −0.34σ
PRICE · NORMALIZED 100PANW 183.98 · ARKK 76.58
77104131158185 May 07 May 05
RATIO · PANW / ARKKμ 2.5206 · σ 0.3476 · z −0.34
1.9702.5213.794 May 07 May 05
120D ROLLING CORRELATIONlast 0.40 · range 0.240.74
−0.050.000.73 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.326x − 0.054 Beta (β)0.326 Adj Beta0.548 Alpha (α)−0.054 Pearson R0.348 0.121 Std Dev Err2.051 Significance1.63e−8 Last t-value0.208 Last p-value0.835
RATIO METRICS
Current2.4025 52w Low1.9657 52w High3.7939 % of range23.9% z-score−0.34σ MA pos.−4.7% 30D slope+0.038%/d 90D return+3.5%
PANW / VUG
Vanguard Growth — broad growth-factor benchmark.
NORMAL · z −0.95σ
PRICE · NORMALIZED 100PANW 183.98 · VUG 84.31
7791104118132 May 07 May 05
RATIO · PANW / VUGμ 2.4260 · σ 0.2568 · z −0.95
1.8482.4262.935 May 07 May 05
120D ROLLING CORRELATIONlast 0.41 · range 0.360.78
−0.050.000.78 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.864x − 0.086 Beta (β)0.864 Adj Beta0.909 Alpha (α)−0.086 Pearson R0.409 0.167 Std Dev Err1.996 Significance1.69e−11 Last t-value−0.419 Last p-value0.675
RATIO METRICS
Current2.1822 52w Low1.8322 52w High2.9346 % of range31.7% z-score−0.95σ MA pos.−10.1% 30D slope+0.005%/d 90D return−3.8%
QQQ / SPY
Nasdaq-100 vs S&P 500 — mega-cap-tech leadership read.
EXTREME HIGH · z +3.57σ
PRICE · NORMALIZED 100QQQ 681.61 · SPY 723.77
100110121131141 May 07 May 05
RATIO · QQQ / SPYμ 0.8977 · σ 0.0124 · z +3.57
0.8640.8980.942 May 07 May 05
120D ROLLING CORRELATIONlast 0.95 · range 0.930.99
−0.050.000.99 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 1.244x + 0.010 Beta (β)1.244 Adj Beta1.163 Alpha (α)0.010 Pearson R0.952 0.906 Std Dev Err0.314 Significance0.00e+0 Last t-value0.922 Last p-value0.357
RATIO METRICS
Current0.9417 52w Low0.8638 52w High0.9417 % of range100.0% z-score+3.57σ MA pos.+4.9% 30D slope+0.212%/d 90D return+4.2%
08
AI / Semis Rotation
3 pairs · The dominant 2025 trade — semis vs everything else. Context for software underperformance.
CIBR / SMH
Cyber vs semis — same trade, narrower numerator.
LOW · z −1.73σ
PRICE · NORMALIZED 100CIBR 70.87 · SMH 522.69
89126163200238 May 07 May 05
RATIO · CIBR / SMHμ 0.2163 · σ 0.0466 · z −1.73
0.1330.2160.310 May 07 May 05
120D ROLLING CORRELATIONlast 0.36 · range 0.360.87
−0.050.000.87 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.326x − 0.096 Beta (β)0.326 Adj Beta0.548 Alpha (α)−0.096 Pearson R0.440 0.194 Std Dev Err1.245 Significance2.87e−13 Last t-value0.546 Last p-value0.586
RATIO METRICS
Current0.1356 52w Low0.1328 52w High0.3097 % of range1.6% z-score−1.73σ MA pos.−37.3% 30D slope−0.556%/d 90D return−32.2%
IGV / SMH
Software vs semis — the cleanest measure of AI rotation.
LOW · z −1.75σ
PRICE · NORMALIZED 100IGV 88.27 · SMH 522.69
78118158198238 May 07 May 05
RATIO · IGV / SMHμ 0.3097 · σ 0.0805 · z −1.75
0.1680.3100.449 May 07 May 05
120D ROLLING CORRELATIONlast 0.29 · range 0.290.88
−0.050.000.88 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.347x − 0.158 Beta (β)0.347 Adj Beta0.562 Alpha (α)−0.158 Pearson R0.402 0.161 Std Dev Err1.482 Significance4.21e−11 Last t-value−0.758 Last p-value0.449
RATIO METRICS
Current0.1689 52w Low0.1656 52w High0.4524 % of range1.1% z-score−1.75σ MA pos.−45.5% 30D slope−0.493%/d 90D return−43.2%
QQQ / SMH
Nasdaq vs semis — semis are an outsize % of QQQ already.
LOW · z −2.00σ
PRICE · NORMALIZED 100QQQ 681.61 · SMH 522.69
100134169203238 May 07 May 05
RATIO · QQQ / SMHμ 1.7584 · σ 0.2276 · z −2.00
1.3041.7582.197 May 07 May 05
120D ROLLING CORRELATIONlast 0.89 · range 0.840.95
−0.050.000.95 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.480x − 0.034 Beta (β)0.480 Adj Beta0.651 Alpha (α)−0.034 Pearson R0.877 0.770 Std Dev Err0.491 Significance0.00e+0 Last t-value−0.352 Last p-value0.725
RATIO METRICS
Current1.3040 52w Low1.3040 52w High2.2000 % of range0.0% z-score−2.00σ MA pos.−25.8% 30D slope−0.439%/d 90D return−23.9%
09
Macro / Credit / Duration
7 pairs · Risk-on vs risk-off. Credit spreads, rates, equity vs bonds.
CIBR / HYG
Cyber vs credit — risk-on cyber read.
NORMAL · z −0.06σ
PRICE · NORMALIZED 100CIBR 70.87 · HYG 79.92
8995102108114 May 07 May 05
RATIO · CIBR / HYGμ 0.8898 · σ 0.0507 · z −0.06
0.7720.8900.970 May 07 May 05
120D ROLLING CORRELATIONlast 0.32 · range 0.310.82
−0.050.000.82 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 2.193x + 0.004 Beta (β)2.193 Adj Beta1.799 Alpha (α)0.004 Pearson R0.427 0.183 Std Dev Err1.254 Significance1.63e−12 Last t-value1.014 Last p-value0.311
RATIO METRICS
Current0.8868 52w Low0.7576 52w High0.9698 % of range60.9% z-score−0.06σ MA pos.−0.3% 30D slope+0.327%/d 90D return−1.8%
HYG / IEF
Credit spread proxy — junk vs treasuries.
HIGH · z +1.08σ
PRICE · NORMALIZED 100HYG 79.92 · IEF 94.53
99100101103104 May 07 May 05
RATIO · HYG / IEFμ 0.8385 · σ 0.0065 · z +1.08
0.8250.8380.851 May 07 May 05
120D ROLLING CORRELATIONlast 0.66 · range 0.100.66
−0.050.000.66 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.409x + 0.009 Beta (β)0.409 Adj Beta0.604 Alpha (α)0.009 Pearson R0.481 0.231 Std Dev Err0.237 Significance6.66e−16 Last t-value0.339 Last p-value0.735
RATIO METRICS
Current0.8454 52w Low0.8238 52w High0.8513 % of range78.8% z-score+1.08σ MA pos.+0.8% 30D slope+0.059%/d 90D return+1.0%
IGV / HYG
Software vs credit — risk-on tech read.
LOW · z −1.09σ
PRICE · NORMALIZED 100IGV 88.27 · HYG 79.92
788899109119 May 07 May 05
RATIO · IGV / HYGμ 1.2645 · σ 0.1465 · z −1.09
0.9771.2641.448 May 07 May 05
120D ROLLING CORRELATIONlast 0.29 · range 0.270.83
−0.050.000.83 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 2.311x − 0.051 Beta (β)2.311 Adj Beta1.878 Alpha (α)−0.051 Pearson R0.386 0.149 Std Dev Err1.493 Significance2.69e−10 Last t-value−0.327 Last p-value0.744
RATIO METRICS
Current1.1045 52w Low0.9338 52w High1.4485 % of range33.2% z-score−1.09σ MA pos.−12.7% 30D slope+0.287%/d 90D return−17.7%
PANW / IEF
Mid-duration treasuries — gentler rate read.
NORMAL · z −0.03σ
PRICE · NORMALIZED 100PANW 183.98 · IEF 94.53
778797107117 May 07 May 05
RATIO · PANW / IEFμ 1.9517 · σ 0.1840 · z −0.03
1.4881.9522.260 May 07 May 05
120D ROLLING CORRELATIONlast 0.05 · range −0.120.21
−0.110.000.20 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.412x + 0.014 Beta (β)0.412 Adj Beta0.606 Alpha (α)0.014 Pearson R0.060 0.004 Std Dev Err2.183 Significance3.46e−1 Last t-value−0.178 Last p-value0.859
RATIO METRICS
Current1.9463 52w Low1.4542 52w High2.2740 % of range60.0% z-score−0.03σ MA pos.−0.3% 30D slope+0.595%/d 90D return+0.2%
PANW / JNK
High-yield bonds — second look at credit risk.
NORMAL · z −0.11σ
PRICE · NORMALIZED 100PANW 183.98 · JNK 96.22
778797107117 May 07 May 05
RATIO · PANW / JNKμ 1.9316 · σ 0.1799 · z −0.11
1.4851.9322.247 May 07 May 05
120D ROLLING CORRELATIONlast 0.22 · range 0.150.70
−0.050.000.70 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 2.275x − 0.009 Beta (β)2.275 Adj Beta1.854 Alpha (α)−0.009 Pearson R0.288 0.083 Std Dev Err2.095 Significance3.74e−6 Last t-value−0.282 Last p-value0.779
RATIO METRICS
Current1.9121 52w Low1.4547 52w High2.2699 % of range56.1% z-score−0.11σ MA pos.−1.0% 30D slope+0.537%/d 90D return−0.7%
QQQ / HYG
Tech vs credit — broad risk-on barometer.
EXTREME HIGH · z +2.71σ
PRICE · NORMALIZED 100QQQ 681.61 · HYG 79.92
100110121131141 May 07 May 05
RATIO · QQQ / HYGμ 7.3505 · σ 0.4354 · z +2.71
6.1847.3518.529 May 07 May 05
120D ROLLING CORRELATIONlast 0.61 · range 0.470.87
−0.050.000.87 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 2.402x + 0.121 Beta (β)2.402 Adj Beta1.939 Alpha (α)0.121 Pearson R0.634 0.402 Std Dev Err0.792 Significance0.00e+0 Last t-value1.029 Last p-value0.304
RATIO METRICS
Current8.5287 52w Low6.1843 52w High8.5287 % of range100.0% z-score+2.71σ MA pos.+16.0% 30D slope+0.651%/d 90D return+10.2%
SPY / TLT
Stocks vs long bonds — peak risk-on indicator.
EXTREME HIGH · z +2.65σ
PRICE · NORMALIZED 100SPY 723.77 · TLT 85.43
96104113121129 May 07 May 05
RATIO · SPY / TLTμ 7.4913 · σ 0.3699 · z +2.65
6.3897.4918.472 May 07 May 05
120D ROLLING CORRELATIONlast 0.29 · range −0.080.30
−0.080.000.29 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = 0.147x + 0.109 Beta (β)0.147 Adj Beta0.429 Alpha (α)0.109 Pearson R0.121 0.015 Std Dev Err0.778 Significance5.69e−2 Last t-value0.787 Last p-value0.432
RATIO METRICS
Current8.4721 52w Low6.3888 52w High8.4721 % of range100.0% z-score+2.65σ MA pos.+13.1% 30D slope+0.518%/d 90D return+8.0%
10
M&A / Acquisition Digestion
1 pair · Single-pair: PANW vs CYBR — the CyberArk integration question.
PANW / CYBR
M&A digestion — what does the market think of CyberArk integration?
NORMAL · z −0.40σ
PRICE · NORMALIZED 100PANW 183.98 · CYBR 1,305.00
77101126151176 May 07 May 05
RATIO · PANW / CYBRμ 0.1561 · σ 0.0380 · z −0.40
0.0960.1560.222 May 07 May 05
120D ROLLING CORRELATIONlast −0.08 · range −0.170.05
−0.160.000.05 May 07 May 05
OLS REGRESSIONn = 250d
y = βx + αy = −0.022x + 0.038 Beta (β)−0.022 Adj Beta0.315 Alpha (α)0.038 Pearson R−0.036 0.001 Std Dev Err2.201 Significance5.84e−1 Last t-value−0.175 Last p-value0.861
RATIO METRICS
Current0.1410 52w Low0.0944 52w High0.2246 % of range35.8% z-score−0.40σ MA pos.−9.7% 30D slope+0.668%/d 90D return−0.6%
[ 06 ]

First Principles · Why This Method Works

Six paragraphs grounding the framework
in the actual numbers from the file.
01

A price is the sum of its forces

When PANW moves, three things happen simultaneously: the market moves, the cyber sector moves relative to the market, and PANW moves relative to its sector. A single chart of PANW collapses all three into one line. A ratio chart isolates one and silences the rest.

This file runs that decomposition forty-three ways. Each pair holds a different variable constant and asks: what's left? What's left is the signal you actually want.

If PANW falls 10% while SPY falls 8% and CIBR falls 9% — the headline is "PANW is weak." The ratios say: PANW underperformed cyber by 1pt, cyber underperformed market by 1pt. The real story is that risk-off is hitting cyber harder than the market — not that PANW is broken.
02

Where PANW actually stands

The decision tree: PANW/SPY at z=−0.93σ (36th percentile), PANW/CIBR at z=−0.12σ (54th percentile), CIBR/IGV at z=1.88σ (88th percentile).

Translated: PANW is mildly underperforming the market, exactly tracking cybersecurity, and cybersecurity is one of the most-bid sub-sectors of tech right now. The PANW underperformance vs SPY is not a PANW problem — it's reflecting IGV/SMH at z=−1.75σ, the extreme weakness of all software relative to semis.

Confirming: PANW/SMH sits at z=−1.60σ — PANW is at 2.7% of its 52-week range against semiconductors. Every software name looks broken against semis. That's the AI trade, not a PANW story.

03

R² is the trust score

Every pair returns a beta. Most of them are noise. The R² tells you whether to take that beta seriously.

Of 43 pairs, only four exceed R²=0.5: QQQ/SPY (0.91), CIBR/IGV (0.77), QQQ/SMH (0.77), CRWD/CIBR (0.67). For PANW specifically the cleanest hedges are PANW/CIBR (R²=0.56, β=1.18) and PANW/HACK (R²=0.53). Below R²=0.40 the regression slope is real but the residuals dominate — using it as a hedge ratio means you'll explain less than half the variance.

This is why PANW/SPY is a useful diagnostic ratio (it tells you the regime) but not a useful hedge ratio (R²=0.13). Different jobs, different ratios.

04

Peer ratios = market verdict on the competitive narrative

Inside cyber, the market has a strong opinion. PANW/CHKP is at z=4.53σ, the most-stretched ratio in the entire set — Check Point is being completely left behind. PANW/ZS at z=+2.42σ, PANW/OKTA near 52-week highs: PANW is winning the platform-consolidation narrative against legacy and against single-product vendors.

Against the high-growth competitors PANW is losing: PANW/CRWD at z=−0.95σ (R²=0.49 — these two genuinely move together) and PANW/NET at z=−1.61σ. The market is saying CrowdStrike and Cloudflare have stronger growth narratives than PANW, but PANW is the consolidator inside the legacy half of the space.

The cleanest take: PANW is the best of the legacy/platform names, but it's not in the same growth tier as CRWD/NET. PANW/FTNT sits at z=−0.47σ — the valuation gap (102x vs 37x P/E) hasn't closed because Fortinet is still seen as the more disciplined operator at a fraction of the multiple.

05

Macro pairs are mostly noise — except when they aren't

PANW vs duration and credit looks weakly related on average: PANW/TLT R²=0.003, PANW/HYG R²=0.09. You should not use these as hedge ratios. But the direction still tells you something: SPY/TLT at z=2.65σ — extreme stocks-over-bonds — confirms a peak risk-on regime.

Combine that with QQQ/HYG at z=+2.71σ (also extreme) and QQQ/SPY at z=+3.57σ (the most-stretched broad ratio in the set), and the macro picture is: we're in a Nasdaq-leadership-led, credit-tight, risk-on regime. PANW is an indirect beneficiary, but if any of those three macro extremes mean-reverts, PANW will decline alongside everything in QQQ — not because of anything PANW-specific.

This is the protective lens. When you're long PANW, you're effectively long the "big-tech-leads-the-cycle" trade. The macro ratios make that exposure visible.

06

The CYBR puzzle and what to watch next

The most surprising finding in the file: PANW/CYBR has correlation −0.08 and R² 0.001. PANW announced (or is integrating) CyberArk — and the market is treating these two stocks as completely unrelated. That's anomalous. Acquiring company / target pairs typically correlate strongly post-announcement; ours does not.

Three readings: (a) the deal is so far advanced that CYBR is trading on its own pre-close arb dynamics; (b) the market doesn't believe the deal will be value-accretive; (c) the integration is so opaque that fundamental investors are pricing PANW as if CYBR doesn't exist. Watch this ratio — when correlation rises, the market is starting to view PANW as PANW+CYBR. That re-rating is your signal.

Action items as the framework intends: (1) add 252-day MA crossover alerts to the six priority ratios. (2) watch IGV/SMH — when it crosses back above its mean, software-vs-semis rotates and PANW gets a tailwind on PANW/SPY without doing anything. (3) watch PANW/CYBR correlation rising above 0.3 — that's the integration starting to matter.