SEIGYO
Behavioral detection

Behavioral guardrails for trading bots that detect revenge trading, tilt, and overconfidence

Seven behavioral patterns detected in real time via API — revenge trading, frequency spike, size escalation, overconfidence, fatigue, time vulnerability, and streak degradation.

Best fit

Built for a specific trading workflow

Best for any automated system — bots, agents, or firm-wide OMS — that needs to detect and respond to behavioral drift.

Why this page exists

Rule violations tell you what happened. Behavioral patterns tell you why. SEIGYO's API detects seven patterns inline with every trade evaluation, giving your system the ability to catch tilt, revenge trading, and overconfidence before they compound into catastrophic loss.

What you get

The useful pieces first

Each item is tied to an action the user can understand before they sign up.

7 behavioral patterns: revenge trading, frequency spike, size escalation, overconfidence, fatigue, time vulnerability, streak degradation
Pattern alerts include severity, confidence, and recommended action
Feeds into enforcement state machine — escalating from warn to pause to lock automatically
Why it matters

The problem this page is solving

This keeps the page focused on trader outcomes instead of a generic product tour.

A bot does not know it is revenge trading. The API does.
Pattern detection happens inline with rule evaluation — no separate analytics pipeline required.
Fleet-wide pattern aggregation shows which behavioral failures are most common across all traders.
Next step

Start with the safest path

The cleanest activation path is still the same: paper broker if you want live guardrails, CSV import if you want historical review, and the demo if you want to understand the system first.