Trend Crowding and Price Discovery
A committed PMarket Arena template showing how crowded trend flow can turn a small drift into a visible dislocation.
Question
When do event-market prices behave like useful probability estimates, and when do they become traces of crowded cohort pressure?
Mechanism
Rational flow can tether price to truth, but crowded trend flow and noise pressure can consume depth before correction capacity restores tracking.
Setup
- Run trend_crowding_unwind.json for 160 ticks with 100,000 simulated agents.
- Add 400 trend followers at tick 20, then apply a 70-tick noise burst at tick 40.
- Add 4% arbitrageurs at tick 80 and track price-truth error, stress, correction share, and trend pressure.
Selected ticks from the committed PMarket Arena trend-crowding template. Price dislocates after crowding and noise pressure, while stress marks pressure in the market state.
Source artifact
PMarket Arena template scenarios/templates/trend_crowding_unwind.json, run through the Node calibration harness for 160 ticks.
160
Rows
0.473
Max dev
76.3%
High error
68 ticks
Dislocated
0.438
Correction
0.573
Trend anti
Result
The template run retained 160 rows, reached max deviation of 0.473, and spent 68 ticks in dislocation. Trend anti-corrective share averaged 0.573 during high-error periods, while correction share averaged 0.438 on next ticks after high error.
Boundary
This browser-template run demonstrates composition risk in a synthetic market. It is not empirical evidence about a specific venue or a calibrated claim about real trader populations.
Real Market Context
U.S. event-contract review under 17 CFR 40.11 turns on whether a contract behaves like an information market or a wager. This run operationalizes that line: when crowded trend flow turns price into a trace of cohort pressure rather than a probability estimate, it erodes the price-informativeness rationale that separates a permissible event contract from gaming.
17 CFR 40.11→