Drawdown Circuit Breaker skill

Drawdown Circuit Breaker

Overview

Evaluate whether the trader should take new trade risk today based on account-level realized P&L and recent terminal trade outcomes. This skill reads trader-memory-core thesis YAML files only. It produces a circuit_breaker_decision artifact that complements the market-side exposure_decision from exposure-coach.

The circuit breaker is a recommendation and recordkeeping tool. It does not replace human judgment, and it does not enforce broker-side blocks or automated order rejection.

When to Use

• Before screening or sizing any new swing trade candidate
• After a losing trade or partial trim to check whether a cooldown is active
• During daily planning when trader-memory-core contains recent closed or partially closed positions
• As a workflow gate before swing-opportunity-daily proceeds to candidate generation
• When reviewing whether daily, weekly, or monthly loss limits have been breached

Prerequisites

• Python 3.9+
• Local trader-memory-core thesis YAML files, usually under state/theses/
• Account size in dollars
• No API keys or network access required

Workflow

Step 1: Read Trader Memory State

Point the script at the thesis state directory:

python3 skills/drawdown-circuit-breaker/scripts/check_circuit_breaker.py \
  --state-dir state/theses \
  --account-size 100000 \
  --output-dir reports/

The script scans every th_*.yaml file and reads realized P&L from each thesis status_history[] ledger entry. It does not use _index.json for P&L, because the index is a lightweight lookup file and does not contain the required realized-P&L ledger.

After validating each file, the script groups valid theses by the case-sensitive, whitespace-trimmed thesis_id. If two or more valid files share an ID, it excludes the entire duplicate group from P&L and losing-streak calculations, reports every actual source path, and returns PARTIAL + HALTED until the duplicate state is repaired and the decision is rerun. metrics.theses_scanned counts only accepted theses with unique IDs.

If the state directory is missing or is an empty directory, the skill returns TRADING_ALLOWED with data_quality: EMPTY_STATE so a new user is not blocked by the absence of history. If the configured state path exists but is not a directory, the skill fails closed as incomplete state data.

If state exists but a thesis, ledger event, or terminal result must be skipped or conflicts with another recorded value, the skill fails closed with data_quality: PARTIAL, recommendation: HALTED, and an incomplete_state_data rule. Repair the warnings and rerun before taking new risk. The one recoverable exception is a finite terminal outcome.pnl_dollars fallback for a legacy thesis with no realized-P&L ledger entry; it remains visible as PARTIAL but does not by itself override the calculated recommendation. For ACTIVE, PARTIALLY_CLOSED, CLOSED, and INVALIDATED theses, each history event must be an object with a recognized status and parseable at, and the last history status must match the thesis status. ACTIVE and PARTIALLY_CLOSED theses must also carry entry actuals; PARTIALLY_CLOSED must carry a position. Malformed, stale, or skeletal lifecycle history disqualifies terminal fallback and halts. Ledger-shaped events whose realized_pnl is missing, untyped, or non-finite also halt instead of being coerced.

Step 2: Evaluate Circuit Breaker Rules

The default rules are:

Rule	Default	Triggered State	Release
Max daily loss	2.0% of account	HALTED	Next ET weekday
Losing streak cooldown	2 terminal losing theses	COOLDOWN	24 hours after latest loss exit
Weekly drawdown halt	5.0% of account	HALTED	Next Monday ET
Monthly drawdown halt	8.0% of account	HALTED	First day of next month ET

Day, week, and month boundaries use America/New_York. Date-only producer timestamps from trader-memory-core are counted on the named ET date. Set --as-of for deterministic evaluation; date-only --as-of values cover the full ET day, while timestamp values exclude future events after that time:

python3 skills/drawdown-circuit-breaker/scripts/check_circuit_breaker.py \
  --state-dir state/theses \
  --account-size 100000 \
  --as-of 2026-07-02T12:00:00-04:00 \
  --output-dir reports/

Step 3: Override Thresholds When Needed

Override individual thresholds on the CLI:

python3 skills/drawdown-circuit-breaker/scripts/check_circuit_breaker.py \
  --account-size 100000 \
  --max-daily-loss-pct 1.5 \
  --losing-streak-n 3 \
  --cooldown-hours 48 \
  --weekly-drawdown-pct 4 \
  --monthly-drawdown-pct 6

Or provide a JSON config file:

{
  "max_daily_loss_pct": 1.5,
  "losing_streak_n": 3,
  "cooldown_hours": 48,
  "weekly_drawdown_pct": 4.0,
  "monthly_drawdown_pct": 6.0
}

CLI arguments override config-file values.

Step 4: Interpret the Decision

Use the generated decision as a gate for new trade risk:

Recommendation	Meaning
TRADING_ALLOWED	No circuit breaker rule is active; new trade risk may proceed through the rest of the workflow
COOLDOWN	Do not open new positions; continue managing existing positions and review the recent losses
HALTED	Stop new entries because a drawdown limit is active or account-state data is incomplete; repair/rerun any data warnings before proceeding

Existing position management remains a human decision. The circuit breaker is designed to prevent new risk escalation after realized damage, not to force liquidation.

Time-based rules carry an ISO 8601 active_until. The non-time-based incomplete_state_data rule uses active_until: null; its Markdown report says the halt lasts until the state is repaired and the decision is rerun.

Output Format

The script writes circuit_breaker_decision_YYYY-MM-DD_HHMMSS.json and, unless --json-only is set, a matching markdown report.

{
  "schema_version": "1.0",
  "generated_at": "2026-07-02T16:00:00+00:00",
  "as_of_date": "2026-07-02",
  "recommendation": "COOLDOWN",
  "triggered_rules": [
    {
      "rule": "losing_streak_cooldown",
      "threshold": 2,
      "observed": 2,
      "active_until": "2026-07-02T15:30:00-04:00",
      "detail": "2 consecutive losing closes; last loss exit 2026-07-01T15:30:00-04:00."
    }
  ],
  "metrics": {
    "realized_pnl_today": 0.0,
    "realized_pnl_wtd": -250.0,
    "realized_pnl_mtd": -250.0,
    "consecutive_losses": 2,
    "last_loss_exit_at": "2026-07-01T15:30:00-04:00",
    "theses_scanned": 12
  },
  "account_size": 100000.0,
  "config": {
    "max_daily_loss_pct": 2.0,
    "losing_streak_n": 2,
    "cooldown_hours": 24.0,
    "weekly_drawdown_pct": 5.0,
    "monthly_drawdown_pct": 8.0
  },
  "data_quality": "OK",
  "warnings": [],
  "rationale": "Recent losing closes triggered a cooldown. Avoid new entries until the cooldown expires."
}

Exchange Calendar Contract

Install requirements.txt before running the checker. Daily, weekly, and monthly halt dates use actual XNYS sessions. active_until remains compatible: the halt ends at 00:00 America/New_York on the next eligible session date, not at that session's opening bell. Use --as-of for deterministic evaluation.

Resources

• scripts/check_circuit_breaker.py - Main CLI and rule engine
• references/circuit_breaker_framework.md - Rule definitions, defaults, and data-source notes
• skills/trader-memory-core/schemas/thesis.schema.json - Source schema for thesis state

Key Principles

1. Realized damage only - Use recorded realized P&L, not unrealized P&L or thesis-level cumulative fields for daily calculations.
2. Survival first - A circuit breaker exists to prevent escalation after losses.
3. Advisory, not automatic execution - The output informs the workflow gate; it does not place, cancel, or block broker orders.
4. Fail closed on incomplete state - Empty state allows a new user to begin, but malformed, discarded, conflicting, or non-finite risk data returns PARTIAL + HALTED without crashing. A finite legacy outcome fallback is reported as recoverable PARTIAL and remains non-blocking.