SAMPLE RUN

Pre-open fair value report – 2026-11-10

Sample run produced by the Fair Value Coordinator on the evening of 2026-11-10 (Phoenix time). All work (data, DCF, comps) was done by the coordinator; the teammate bots were not used for this sample. Prices are the Nov 10, 2026 regular-session closes (4:00 PM ET), not pre-market quotes. The regular weekday pre-open run is unchanged.

Summary

TickerClose 11/10DCF bear / base / bullComps low / mid / highBlended FVUp/downMargin of safetyCall
CRM
Salesforce
$213.48$187.33 / $261.52 / $333.75$205.83 / $282.78 / $353.98$272.15+27.5%+21.6%Cheap
NOW
ServiceNow
$99.61$79.78 / $119.44 / $157.35$59.94 / $71.19 / $97.19$95.31*-4.3%-4.5%Fair
ADBE
Adobe
$236.70$271.50 / $354.27 / $432.94$360.16 / $458.91 / $571.69$406.59+71.8%+41.8%Cheap
AAPL
Apple
$348.51$118.99 / $152.74 / $185.78$172.41 / $201.57 / $346.88$177.15-49.2%-96.7%Rich
NVDA
NVIDIA
$168.89$93.07 / $188.54 / $278.03$171.91 / $263.45 / $492.90$226.00*+33.8%+25.3%Cheap
AMD
Advanced Micro Devices
$515.21$46.33 / $86.78 / $124.02$180.09 / $238.43 / $359.00$162.60*-68.4%-216.9%Rich low conf.
SPCX
Space Exploration Technologies
$143.09not run$42.95 / $75.12 / $129.07$75.12*-47.5%-90.5%Rich low conf.
GOOG
Alphabet
$284.92$168.24 / $254.53 / $334.54$245.14 / $282.32 / $365.79$268.43-5.8%-6.1%Fair
AMZN
Amazon.com
$270.87$69.99 / $104.57 / $136.40$281.41 / $314.86 / $423.08$209.72*-22.6%-29.2%Rich low conf.

* Indicative only: DCF and comps disagree by more than 25%, or there is no DCF (SPCX is comps only). Ranges are $ per share.

Per-ticker notes

CRM Salesforce Cheap · FV $272.15 vs $213.48
NOW ServiceNow Fair · FV $95.31 vs $99.61
ADBE Adobe Cheap · FV $406.59 vs $236.70
AAPL Apple Rich · FV $177.15 vs $348.51
NVDA NVIDIA Cheap · FV $226.00 vs $168.89
AMD Advanced Micro Devices Rich · FV $162.60 vs $515.21
SPCX Space Exploration Technologies Rich · FV $75.12 vs $143.09
GOOG Alphabet Fair · FV $268.43 vs $284.92
AMZN Amazon.com Rich · FV $209.72 vs $270.87

Key assumptions

Sources

Not investment advice. This is an automated, model-driven sample built only from public data. The numbers are estimates that depend on the assumptions above and can be wrong.