Underlying Classification — Know What You’re Trading

Educational use only — not investment advice. See full disclaimer in README.md.

SPY does not behave like NVDA, which does not behave like a biotech or a leveraged ETF. The same strategy, IVR, and DTE can be a great trade on one and a disaster on another. Before you apply the strategy matrix, classify the underlying — its “personality” changes strike selection, sizing, and whether you should trade options on it at all.

1. The classification table

Class Examples Typical IV / behavior Gap & event risk Options implication
Broad index / ETF SPY, QQQ, IWM, SPX, DIA Lower IV, mean-reverting, no single-name surprise Macro only (FOMC/CPI) — no earnings The safest default. Tightest markets, diversified, sellable premium. SPX adds cash-settle/European/§1256 tax edge
Sector ETF XLK, XLF, XLE, XLV, SMH, XBI Moderate IV; moves on sector rotation/themes Sector news; XBI carries biotech binary risk Good for expressing a sector view without single-stock gap risk (except biotech-heavy ones)
Mega-cap / blue-chip AAPL, MSFT, GOOGL, AMZN Moderate IV, deep liquid options Earnings ~quarterly; product/regulatory news Workhorse single names; tradeable both directions; respect the earnings calendar
High-beta growth / momentum NVDA, TSLA, AMD, META High IV, big trending moves, violent reversals Large earnings moves; sentiment-driven gaps Rich premium but size down — the “expected move” is genuinely large; favor defined risk
Meme / retail-driven (rotates) Extreme IV, gappy, sentiment-detached-from-fundamentals Squeezes, halts, social-media gaps High danger. Defined risk only, tiny size, or skip. Naked anything = no
Biotech / event-binary XBI names, clinical-stage pharma IV ramps into a binary; can gap 50%+ FDA decisions, trial data — all-or-nothing Pure event gambles; an “iron condor” can be blown through both wings. Defined risk only, treat as a binary
Commodity / energy ETF USO, GLD, SLV, UNG Driven by the underlying commodity, not equities Supply/geopolitical shocks; UNG notoriously wild Different correlation regime; don’t assume equity-market logic applies
Leveraged / inverse ETF TQQQ, SQQQ, UVXY, SOQX Decay by design (daily reset); extreme IV Compounding/path-dependent erosion ⚠️ Special hazard — see §3. Generally avoid for multi-day options unless you deeply understand the decay

2. How class changes your strategy choices

  • Strike width / short-strike delta: on high-beta names (NVDA, TSLA) the expected move is large, so the same 16-delta short strike sits much further in dollar terms — and can still be breached. Widen wings, go further OTM, and size smaller than you would on SPY.
  • Premium selling: safest on indices/ETFs (no earnings gap, mean-reverting). On single names, never hold undefined short premium through earnings (06 earnings playbook).
  • Buying premium: high-beta/momentum names can actually move enough to pay off a long option; on a sleepy mega-cap in low IV, the same long bleeds out.
  • Event-binary names (biotech): there is no “neutral range” trade — the stock gaps or it doesn’t. Only defined-risk, sized as if you could lose the whole debit/width, and understood as a bet on the binary.
  • Indices for the core, single names for the edge: when in doubt, the index is the default (07 §5). Reach for a single name only when that name earns it (catalyst, IVR, relative strength).

3. The leveraged/inverse ETF warning (read before trading TQQQ/UVXY/etc.)

Leveraged (2x/3x) and inverse ETFs reset daily and are explicitly designed to track a daily multiple, not a multi-week one. Over time, in choppy markets, this path-dependent decay erodes value regardless of direction — and volatility products (UVXY, VXX) bleed structurally as VIX futures roll in contango.

  • Long options on these decay from both theta and the fund’s structural erosion.
  • “It has to bounce” trades on UVXY/VXX have buried countless retail accounts — the structural drift is down most of the time, punctuated by violent spikes.
  • If you trade them at all: short-dated, defined-risk, small, and with eyes open about the decay. For most traders, most of the time, the right answer is to trade the underlying index instead.

4. Quick classification check (before the matrix)

□ What class is this underlying?  (index / sector / mega-cap / high-beta / meme / biotech / commodity / leveraged)
□ Does it have earnings or a binary event before my expiry?
□ Is its "personality" (IV level, gappiness) compatible with my strategy?
□ Am I sizing for THIS name's expected move, not SPY's?
□ If meme/biotech/leveraged: am I defined-risk, small, and clear-eyed — or should I skip?

The point isn’t to avoid single names — it’s to stop applying index logic to non-index instruments. A condor that’s bread-and-butter on SPY is a coin-flip on a biotech and a slow bleed on a leveraged ETF. Match the strategy to the personality, not just the tags.

Related: 07-opportunity-selection.md (which name to pick) · 02-strategy-selector.md (which structure) · 03-risk-and-sizing.md (sizing for the name’s move)