AFTER CLOSING
By the Time Anyone Looked, the Option Had Closed.
A field guide to building a recognition engine without flooding the owner: scan named sources, carry the deadline and base rate, prepare the move, then hand back the decision.
BY-PRODUCTS
Resources can hide a candidate move. Recognition is only the first gate.
- Bowman and Hurry, 1993: a shadow option is a possible move awaiting recognition
- Recognition identifies the candidate but does not create a right
- A securing investment creates the real option before waiting or exercise
In Bowman and Hurry's sequence, pp. 763–765, resources contain candidate moves. Recognition identifies one; a usually small investment then secures preferential access and creates the real option that can be held, exercised, or abandoned. This article's extension is that recognition can be an assignable task.
An option unseen at expiry may already be gone.
A grant deadline, a lease signing, a rival's sale: some rights close on someone else's clock. The same logic hides options inside a menu drawn before you arrived.
CENTRE AND EDGE
Attention pools at the centre. Some value waits at the edge.
- Watched: the till, the rota, the day's accounts
- Watched: whatever shouts loudest today
- Unwatched: the street changing around your lease
- Unwatched: a rival retiring with no successor
- Unwatched: half the operation living in one head
That last one is a latent exposure: operating logic concentrated in one person, still cheap to protect before it walks out the door.
THE QUADRANT
A triage grid can show where attention goes missing.
- Frequent events leave memory and routines
- Rare events do not train the operator
- The grid locates a blind spot; it does not price or decide it
Use the grid here only to mark an attention gap. The separate question of what makes that boundary move belongs to the quadrant's price.
THE CORPUS
Rare for you. Common for the corpus.
Rare for you, documented elsewhere can supply a reference class. Truly novel cases cannot, and a fluent model does not make them familiar.
- Eight datasets on inventions and innovations from firms and universities
- Scherer and Harhoff, 2000: the top 10% captured 48 to 93% of total returns within the samples
- Highly skewed returns justify testing the search, not trusting every alert
The blind spot is a price, not a law.
AI can lower the cost of a first look, but false alarms return that cost through the owner's attention. Price the whole watch: scanning, checking, process, and interruption.
THE ENGINE
Build a watchlist, not another dashboard.
- 01Scan named sources; return the original record and deadline
- 02Triage with comparable cases or a base rate; suppress weak flags
- 03Prepare the move, then hand the accountable decision back
A recognition engine earns attention only when every flag carries its evidence, clock, reference class, and named owner.
WHAT REMAINS
Noticing comes before sizing.
- Operator test: what can expire before the next meeting?
- For each watch: source, trigger, deadline, base rate, owner
- Next: size the positions worth holding
First see the position in time. Then ask whether its downside is capped and its upside remains open. Continue to how to size what noticing finds.