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📊 Real engine data on every ticker
Any ticker. Thermodynamic physics.
Type any stock symbol and see its thermodynamic state — surplus energy, prediction gap, phi vector, and market mood. The same physics running in the live cognitive engine, applied to markets.
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Heating Up
Warming Up
Waking Up
Calm
Sleeping
Cooling Down
Weird
swarm mood meter
swarm habitat
sector clusters
live thermodynamic readings
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what these numbers mean
// surplus energy
The fuel gauge above the survival floor. High surplus means the stock is storing thermodynamic potential — coiled energy above equilibrium. Low surplus means the system is at rest. This is capacity for movement, not a direction.
// prediction gap
The market surprise index. Distance between expected state and observed state. When human crowd noise disrupts the model's expectation, that disruption becomes thermodynamic fuel — raw energy that drives the next state transition.
// phi vector (φ)
Three-dimensional encoding of the stock's current state. φ₀ = activity level. φ₁ = momentum phase. φ₂ = stability. Together they form the reality vector the thermodynamic engine processes.
// market mood
A human-readable classification of human crowd turbulence, mapped directly from objective energy flux and state trajectory. Heating Up = high energy, high gap. Sleeping = near-zero flux. Weird = anomalous state. Not a prediction — a thermodynamic classification.
// not financial advice
This tool applies thermodynamic physics to market data as a research instrument. It does not forecast human sentiment or price direction. It filters emotional noise to measure the objective thermodynamic baseline energy above equilibrium.
// the engine behind this
ThermoScanner uses the same thermodynamic framework as the ThermoMind Engine — a persistent AI substrate with 90,000+ continuous cycles. The Market Mites apply that framework to financial data.