Security budgets are the least discretionary line in enterprise IT, and AI raises both the threat surface and the product opportunity. Small by S&P 500 construction — most pure plays live outside the index — so treat it as a signal of the complex, not full coverage.
Basket total returns · Annualized using 252 trading sessions · 0% risk-free rate and downside target. As of 2026-10-21 · close.
How these statistics are calculated
Risk methodology
Sharpe: average daily simple return divided by its sample standard deviation, multiplied by √252. The risk-free rate is assumed to be 0%; this is not a cash-adjusted ratio.
Sortino: average daily simple return divided by downside deviation, multiplied by √252. Downside deviation is the square root of the average squared shortfall below 0%, counting all sessions, including zeros for gains.
Historical volatility: √(252 × average squared daily log return), matching the Vol page’s realized-volatility convention. This differs from the sample standard deviation used in Sharpe.
Each period requires complete history and at least 5 sessions. MTD and YTD follow the calendar; 1y is 252 sessions. Missing data or an undefined ratio displays — with a reason. Short periods can produce unstable ratios; intraday snapshots include a partial session. History before this basket’s creation is backtested. If a new basket has no stored daily return series yet, estimates from its rounded published chart levels are marked ≈.
Basket returns include dividends. “vs S&P 500” compares the basket’s compounded growth with the benchmark’s. Green means positive; red means negative.
Cross-checked against CIBR. Daily return correlation: 0.92 across 1710 sessions. most listed pure plays trade outside the S&P 500 — the FW 3000 version holds them; the S&P version is the index-eligible subset
Membership history & changes
Membership history
expand
FW 3000 pass: added ZS, OKTA, NET, S, TENB, QLYS, RBRK, VRNS — names outside the S&P 500 but inside our broad universe; they count only in the FW 3000 version of this basket. Effective-dated to creation so the broad backtest covers the full set. The S&P 500 basket is unchanged.
review
Widening pass reviewed and deliberately unchanged: the S&P 500 contains no further security pure plays (Zscaler, Okta, CyberArk et al. live outside the index). Reference pinned to CIBR.
S&P 500 business models on the wrong side of AI: seat-based IT services and outsourcing, ad agencies, and data/research vendors whose products LLMs increasingly substitute. A monitoring basket (potential underperformers / hedge candidates), not a buy list. Small by design — most pure displacement stories live outside the index.
The compute, networking, memory, storage, and power layer of the AI buildout. Owners of the bottlenecks: accelerators, custom silicon, switching, optics, HBM, fab equipment, test, and the server/power chain that turns capex into installed compute.
Software businesses positioned to monetize AI through existing distribution: copilots attached to installed bases, agent platforms, and the EDA/design tools that themselves get an AI productivity kicker. The bet is that distribution beats model quality.