Drawdown protocol

Definition

A drawdown protocol is the pre-written script for losing periods: graduated de-risking thresholds, review triggers, the post-mortem ritual, and — as important — the re-entry rules for coming back. It exists because drawdowns are when every documented bias fires at once (bias-loss-aversion doubling to get back, revenge sizing, rule abandonment) and when the account’s survival arithmetic (philosophy-geometric-compounding — losses compound against you) is least forgiving. The protocol converts the worst decision environment into a checklist written in the best one.

How it works / structure

• The graduated ladder (engine-parameterizable — extends risk-max-drawdown-budget): soft threshold (e.g. −5%: size reductions, review trigger), hard threshold (−10%: minimum size only, new positions gated), full-stop threshold (−15%: flat, mandatory review before any re-entry) — the numbers are per-plan parameters; the LADDER SHAPE is the discipline (cutting risk while the cause is undiagnosed, mechanically).
• The diagnosis fork (the review’s first question): is the drawdown WITHIN the strategy’s documented distribution (a normal sample — process continues at reduced size) or OUTSIDE it (regime break, edge decay, or rule violations — disc-process-vs-outcome grid over the journal record decides)? The fork prevents both panic-retirement of sound strategies and loyal persistence in broken ones.
• The post-mortem ritual (per material loss): the structured record — what was the thesis, what was knowable at entry, was the falsifier respected, what rule if any was violated, what (if anything) changes — filed to the journal (disc-journaling-review); documented practice separates the post-mortem (facts, filed calmly) from the amendment decision (made at scheduled review under disc-trading-plan’s calm-amendment rule, never same-day).
• Re-entry rules (the neglected half): graduated size restoration on evidence (rule adherence over N trades, thesis performance at reduced size), not on feelings of readiness — the documented failure is returning at full size to “make it back” (risk-kelly-criterion arithmetic: the edge didn’t grow because the account shrank).

When it applies

Every account (the protocol is written at inception, inside the trading plan — writing it mid-drawdown is writing it too late); strategy-level drawdowns (each strategy’s documented distribution defines ITS normal — the fork’s baseline); post-violation states (rule breaks trigger the protocol regardless of P&L — the process breach IS the emergency).

Risk profile & failure modes

• Mid-drawdown improvisation (the target failure): the documented bias cluster — threshold-shopping, averaging into losers, protocol renegotiation; the pre-written ladder with hard enforcement (the platform’s parameterized version) is the counter.
• Ladder-gaming: realizing losses just under thresholds, or holding losers unrealized to avoid triggering them (bias-disposition-effect meets the protocol) — mark-to-market thresholds, not realized ones.
• Panic-retirement at the bottom: cutting a sound strategy at its distribution’s normal trough locks the drawdown permanently — the diagnosis fork with pre-registered decay criteria is the guard.
• Protocol theater: ladders defined but never connected to enforcement change nothing — the platform binds them to execution caps by construction.

Evidence & limits

Drawdown-control arithmetic under growth-optimal sizing is documented (MacLean-Thorp-Ziemba); the bias cluster the protocol counters is peer-reviewed (pillar 13); the specific ladder shapes are practitioner convention (labeled) with parameters per plan. Protocol effectiveness is auditable per account via the deviation and threshold-adherence record.

Falsifiable-thesis examples

Illustrations only, not signals:

• “Accounts with enforced graduated ladders show smaller maximum drawdowns than matched accounts with static sizing at equal average exposure (ladder-value check)” — falsified by the cohort comparison.
• “Post-drawdown re-entries at graduated size recover to prior equity with lower variance than full-size re-entries (re-entry-rule check)” — falsified by the paired replay.

Cross-references

• The budget it operationalizes: risk-max-drawdown-budget; the arithmetic: philosophy-geometric-compounding
• The constitution: disc-trading-plan; the dataset: disc-journaling-review
• The diagnosis rubric: disc-process-vs-outcome
• The bias cluster: bias-loss-aversion, bias-disposition-effect