Nothing in trading dies of old age; edges die of identifiable causes. This chapter performs honest autopsies on the textbook's most beloved structures — not to mock them (each genuinely worked in its era) but because knowing the mechanism of death is how you evaluate every strategy you'll ever meet, including the ones this school teaches. One discipline before the table: "dead" here means the retail edge as the textbook taught it — most of these structures remain perfectly good tools for specific engineering jobs (Module 4 will reuse several); what died is the claim that the structure itself, applied by formula, carries income.
Autopsy 1 — The calendar spread. Cause of death: the raw material was repriced, then rationed. The classic trade: sell near-month time-value, buy far-month, harvest the difference in decay rates — its edge lived in the near/far relationship being sloppily priced and in the near leg's decay being reliably purchasable. Three wounds, each sufficient: (a) machine market makers now price the entire term structure continuously — the sloppiness that was the edge closed to inside transaction costs (Chapter 5, Change 3); (b) the weekly-expiry world gutted the structure's habitat: when volume, liquidity, and decay all concentrate in contracts with days of life, the stately month-scale decay differential the calendar harvested barely exists as a tradeable object; (c) what remains of the near/far relationship is dominated by event placement (which expiry contains the RBI meeting?) — meaning today's "calendar trade" is actually an event-timing trade wearing the old structure's clothes, demanding Module 4's skills, not the textbook's formula. Verdict: the tool survives for event-engineering; the formula-income claim is dead.
Autopsy 2 — The "income" credit spread / iron condor by formula. Cause of death: the premium got priced correctly, and the tails got faster. The catalog's promise: sell an OTM spread or condor at "high-probability" strikes, collect steady income, repeat monthly. Its quiet assumptions: premium at those strikes overpaid you (true when fear was lazily priced), and the loss days arrived slowly enough to manage (truer in a monthly, slower world). Both assumptions industrialized away: machine pricing compressed the overpayment at formulaic strikes to roughly fair value — meaning the fixed-rule condor now collects approximately the actuarial price of its risk, minus your costs (a zero-to-negative expectancy business after friction, dressed in a high win-rate — your Behavioural Finance school explains why the win-rate feels like edge); and the weekly-gamma world made the tail days faster than the textbook's adjustment playbooks (Chapter 3's accelerator). Verdict: dead as a formula. Alive — crucially — as survival architecture: the same structure, entered on conditions (fear percentile, regime, event map) rather than on the calendar, is exactly how Module 4 teaches selling with defined risk. The corpse and the survivor look identical on a payoff diagram; the difference is entirely in when and why — which is this school's whole thesis.
Autopsy 3 — The far-month directional debit spread. Cause of death: nothing mispriced remained to buy. Buying a months-out spread to "position for a move with limited risk" was rational when far-dated IV was sleepy and spreads were negotiable. Today the far months are the most model-priced, least liquid corner of the index book (all the action left for the weeklies) — you pay fair price for fear, cross wider spreads than the weekly trader ever sees, and then hold vega you probably didn't intend (Chapter 3, Dial 3). Verdict: for index trading, largely retired; the job it did (defined-risk directional expression) is done better with near-dated structures timed by your Market Structure school's signals.
Autopsy 4 — "Knowledge" trades: max-pain, put-call-ratio signals, expiry pinning formulas. Cause of death: publication. Each was a genuine informational asymmetry once; each became a free dashboard widget (Chapter 5, Change 4). An edge everyone can see is a crowd position (Behavioural Finance school, Chapter 8) — and crowd positions don't pay; they get paid against. Verdict: demoted from signals to context, permanently.
The pattern across all four deaths — memorize it as a checklist: edges die by (1) repricing (machines close the gap that paid you), (2) habitat loss (the market structure that hosted the trade disappears — the calendar's monthly world), (3) crowding (publication converts the edge into the crowd's position), or (4) speed (the risk arrives faster than the management the strategy assumed). Every strategy pitch you ever hear again — including Module 3's — gets held against these four causes: which of these is currently killing it, and how would I see it happening in my own journal? That question, asked routinely, is the difference between an engineer and a catalog-follower — and it's the only strategy-evaluation tool that never expires.
Key Takeaway
Strategies die of nameable causes: repricing, habitat loss, crowding, and speed. Calendars lost their raw material, formula condors now collect fair value minus costs, far-month spreads buy correctly-priced fear across wide spreads, and published signals became crowd positions. The structures survive as engineering tools; the formula-income claims are dead — and the four causes are the checklist you'll run against every strategy for the rest of your career, including this school's.
Think About It
Take the strategy you currently trade most. Run the four causes against it honestly: which one is most likely to be eroding it right now, and what specific line in your QbarTrade journal would show that erosion first? If you can't name the line, that's this week's journaling upgrade.
Engineering Lab — Perform One Autopsy Yourself
Pick one textbook strategy you once believed in (or still do). Using your Trading Technology school's pipeline: (1) backtest its formula version honestly over recent years — full costs, out-of-sample (Chapter 8 of that school); (2) if anything survives, identify which conditions the surviving trades share (fear percentile? event proximity? regime?); (3) write the one-line verdict: "dead as formula / alive under conditions X." File it in QbarTrade next to Chapter 5's textbook-dating exercise. You've now performed the exact analysis that separates this school from the catalogs — on your own strategy, with your own data.