Pre-Trade Discipline Gate

Overview

Evaluate whether a planned manual order should proceed before it is placed at the broker. This skill reads a local checklist plus optional market-regime, circuit-breaker, and trader-memory-core artifacts. It produces a pre_trade_discipline_decision artifact and can link that artifact back to the related thesis without changing the thesis review schedule.

The gate is intentionally offline. It does not place orders, cancel orders, call a broker API, or fetch market data.

When to Use

• Immediately before placing any manual entry order
• When a candidate has passed chart validation and position sizing
• After a recent loss, to avoid revenge trades during the cooldown window
• When the workflow has an upstream exposure_decision and circuit_breaker_decision
• When you want checklist adherence to be visible in later trader-memory-core reviews

Prerequisites

• Python 3.9+
• A local JSON or YAML answers file with candidate-level checklist answers
• Optional trader-memory-core thesis state under state/theses/
• Optional exposure_decision JSON from market-regime-daily / exposure-coach
• Optional circuit_breaker_decision JSON from drawdown-circuit-breaker

Workflow

Step 1: Prepare the Checklist

Create a JSON or YAML file with candidate answers. Only actionable manual-order intents are gated. Watchlist and ignore intents are journaled as NO_ACTIONABLE_ORDERS.

{
  "candidates": [
    {
      "symbol": "AAPL",
      "thesis_id": "th_aapl_gm_20260703_0001",
      "order_intent": "ENTRY_READY",
      "entry_in_written_plan": true,
      "stop_predefined": true,
      "size_within_plan": true,
      "planned_risk_dollars": 500,
      "actual_risk_dollars": 500,
      "notes": "Entry matches the journaled breakout plan."
    }
  ]
}