Hidden Labs

AI-powered behavioural intelligence for trading platforms.

Our models learn how every participant makes decisions under pressure, predict when costly behavioural patterns are about to repeat and deliver real-time interventions that improve outcomes.

The architecture behind every observation.

2.8M+
evaluations performed and compounding, 150,000+ from a single import
880
probability models per individual
60 sec
early warning before a pattern completes
Day 1
auditable from the first live session
The pattern problem

Not analysis failure
Behavioural failure. Repeating.

The dominant driver of trading cost is not the market. It is repeating behaviour at the individual level. Loss aversion after a drawdown, increasing size after a win, performance decay as a session extends. Behaviours chasing the market, these patterns are consistent, measurable and unique to each participant.

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What the system produces

A behavioural profile
Unique to each participant.

A continuously updated model of how each participant makes decisions under pressure. Every profile is built exclusively from that individual’s trading history and never from templates, cohorts, or market-level assumptions.

149,952decision touchpoints evaluated for one participant
119 / 880personalised probability models built from their history
61%of the loss was behavioural - not the market
Open the full profile
The Forecaster

Personalised probability Calibrated against each individual's own history.

Every number is computed over 35,000 data points, probability models and behavioural signals evaluated before a single line is spoken. Not benchmarked to a cohort, not derived from templates — fully individual.

Scroll to move through the layers

Illustrative Representative output — not a specific individual.

Statistical PORTRAIT
59.8% win rate
Peak hour 08 16

Establishes the forecast band
from prior sessions

Best hour10–11 AM
VIX > 203.3× cost
Worst patternSame-direction re-entry
Behavioural PATTERN
Trade 5decision decay
Edge baseline Trade 5 1 10

Detects the behavioural shift
as it develops in real time

CadenceAccelerates
Sizing↑ after losses
Warnings2× ignored · both red
Predictive FORECAST
60sec early
Detection Re-entry 45s −90s +30s

Forecasts the next decision
before it occurs

Window45 sec post-loss
Forecast91% failure
ConfidenceHigh