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Fábio Perez16/04/2026 09:20
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Motor de inferência EVT

  • #Rust

A Startup Dimensão Quântica apresenta :

Um motor de inferência de risco de cauda (EVT) aplicado a microestrutura com dados reais.

Pipeline:

• Hill adaptativo

• GPD via PWM (robusto)

• Validação com KS test

• Replay contínuo de eventos

Resultados consistentes:

• ξ ≈ 0.30 – 0.33

• KS ≈ 0.02 – 0.04

• Regime estável

Foco: comportamento sob extremos, não métricas médias.

Quant - EVT - HFT - Risk - Engineering .

“Resultados consistentes ao longo de múltiplos ciclos independentes (evidência abaixo):”

runner@c96fac57f624:~/workspace/Motor_Core$ cargo run --release

Finished `release` profile [optimized] target(s) in 0.03s

Running `target/release/motor_v57`

Cycle 0

Hill Target: 0.3096

PWM Result: 0.3065

KS Statistic: 0.0356

Inference:  STABLE REGIME

Cycle 1

Hill Target: 0.3277

PWM Result: 0.3315

KS Statistic: 0.0378

Inference:  STABLE REGIME

Cycle 2

Hill Target: 0.3069

PWM Result: 0.2570

KS Statistic: 0.0322

Inference:  STABLE REGIME

Cycle 3

Hill Target: 0.2933

PWM Result: 0.2191

KS Statistic: 0.0341

Inference:  STABLE REGIME

Cycle 4

Hill Target: 0.3031

PWM Result: 0.2279

KS Statistic: 0.0348

Inference:  STABLE REGIME

Cycle 5

Hill Target: 0.2943

PWM Result: 0.2787

KS Statistic: 0.0261

Inference:  STABLE REGIME

Cycle 6

Hill Target: 0.3199

PWM Result: 0.3098

KS Statistic: 0.0257

Inference:  STABLE REGIME

Cycle 7

Hill Target: 0.3112

PWM Result: 0.1873

KS Statistic: 0.0333

Inference:  STABLE REGIME

Cycle 8

Hill Target: 0.3137

PWM Result: 0.3630

KS Statistic: 0.0271

Inference:  STABLE REGIME

Cycle 9

Hill Target: 0.2980

PWM Result: 0.4916

KS Statistic: 0.0299

Inference:  STABLE REGIME

runner@c96fac57f624:~/workspace/Motor_Core$

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