
Run a loss autopsy (what broke, exactly?)
Decompose the loss into thesis error, sizing error, timing/entry error, or behavior error (impulse, averaging, rule drift). Recovery starts when you c...
After a painful loss, the urge to act fast usually feels productive, but speed is exactly where revenge trades, oversized bets, and rule drift compound the damage. A good recovery system slows the process down long enough to diagnose what broke, cut risk to a level you can manage calmly, and require a clean re-entry checklist before new exposure. Use this toolkit to rebuild confidence through documented decisions, smaller size, and process metrics instead of trying to win back money with the very behavior that caused the setback.

Pick the smallest next action now: test your bias pattern, run a scenario, or copy a prompt before making a portfolio move.

Decompose the loss into thesis error, sizing error, timing/entry error, or behavior error (impulse, averaging, rule drift). Recovery starts when you c...

Define a fixed window (for example, 2–6 weeks or 10–20 decisions) where you cap position size, reduce leverage/complexity, and tighten entry requireme...

Before you take the next discretionary position, require: a one-sentence thesis, 2–3 invalidation triggers, a sizing cap, and a review date. If you ca...
Decompose the loss into thesis error, sizing error, timing/entry error, or behavior error (impulse, averaging, rule drift). Recovery starts when you can name the failure mode and the one rule that would have prevented most of the damage.
Define a fixed window (for example, 2–6 weeks or 10–20 decisions) where you cap position size, reduce leverage/complexity, and tighten entry requirements. The goal is to stop “emotional beta” and create room for calmer repetition.
Before you take the next discretionary position, require: a one-sentence thesis, 2–3 invalidation triggers, a sizing cap, and a review date. If you cannot write the “no” conditions, you are not ready to trade—you are trying to feel better.
Track checklist completion, rule adherence, and “time-to-document” (did you write before you clicked?). Aim for a clean streak of decisions, not a quick win. When process is stable, P&L becomes information instead of a mood.
Turn the loss into one concrete upgrade: a tighter sizing rule, a new invalidation trigger, or a ban on specific setups during stress. Keep changes small so you can verify whether the new rule improves outcomes across multiple decisions.

Common signals are urgency (“I must act today”), increasing size after a loss, skipping documentation, and chasing volatile names for emotional relief. If your next trade exists mainly to erase the last one, pause and run the re-entry gate first.
Sometimes a short pause is useful, but the key is a structured re-entry process rather than indefinite avoidance. If you keep trading, shrink size and restrict the playbook so you can rebuild rule adherence with low emotional cost.
Small enough that a normal loss does not trigger panic or “make it back” behavior. A practical rule is to cut your typical size by 50–80% and cap total open risk until you complete a clean streak of documented decisions.
Yes—because the danger is the emotional aftershock. Even if the thesis was sound, your next decisions can become reactive. A short recovery window protects you while you re-anchor to a process that you can repeat and audit.
Trying to “recover” by speed instead of by clarity: sizing up, adding complexity, or switching strategies without diagnosis. Repair the failure mode first, then reintroduce risk gradually—confidence should be earned through repetition.
Complete one post-loss review and define one smaller-size rule before your next discretionary trade.