SEIGYO
Prop firm API guide

Execution compliance API for prop firms that need fleet-wide discipline

Deploy SEIGYO's Guardrail API across your entire trader fleet — enforce challenge rules, detect behavioral drift, and aggregate compliance metrics via one API.

Who this guide is for

Prop firm operators, risk managers, and compliance teams managing 10 to 10,000+ trader seats.

Core problem

Prop firms set rules, but enforcement happens after the violation. By the time a risk manager sees the breach, the account has already blown through the daily loss limit and the trader is chasing recovery.

Why it happens

Why traders fall into it

The pattern is easier to interrupt when the trigger is named clearly.

  • Manual compliance monitoring does not scale beyond a handful of traders.
  • Most prop firm platforms show rule breaches after the fact, not before the trade is placed.
  • Firm-wide behavioral patterns (tilt cascades, correlation between trader blowouts) are invisible without aggregation.
What it costs

How the damage usually shows up

The cost is not just one bad trade; it is the follow-on behavior that changes the whole session.

  • Account blowouts from preventable behavioral errors cost both the firm and the trader.
  • Payout disputes increase when enforcement is subjective and after-the-fact.
  • Without real-time compliance data, risk managers are always reacting instead of preventing.
Rules

Rules to set first

These are the first guardrails to make visible before the next session starts.

  • max_loss_per_day matching your firm's challenge parameters at block severity
  • max_consecutive_losses at block severity to break losing streaks before they compound
  • max_trades_per_day at warn severity to flag overtrading before it becomes a violation
  • daily_profit_target_lock at warn severity to protect profitable sessions
  • max_position_size at block severity matching your firm's per-trade risk limits
Measure

What to measure in your own data

The goal is to find the repeatable signal, not write a longer journal entry.

  • Fleet-wide compliance rate and violation frequency by rule type.
  • Average time from warning to block escalation across all traders.
  • Which behavioral patterns (revenge trading, tilt, overconfidence) are most common firm-wide.
How to enforce it with SEIGYO

Turn the guide into a workflow

SEIGYO connects the rule, the session, and the review so the same mistake is harder to repeat.

One API endpoint evaluates every trade for every trader — same rules, same enforcement, same reporting.
Aggregate discipline scores and behavioral pattern data across the entire fleet in one dashboard.
The API is stateless — your existing OMS passes trade + rules + session state, gets back verdict + enforcement.