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Pre-mortem your trade idea before you risk a dollar on it
You're convinced. That's the problem. Make the strongest case against your own idea while it still costs nothing.
The prompt — copy and run it
Act as a devil's-advocate DEBATE PARTNER for my trade REASONING (educational — not investment advice; you must NOT validate, endorse, rate, or approve the trade itself, and never suggest an alternative trade). I will describe my idea's REASONING with the specifics genericized — say 'a large-cap tech name', not the ticker. Then: A) PRE-MORTEM — assume it's 6 months later and this trade lost money. Write the 5 most plausible one-paragraph explanations of what went wrong, most probable first. B) BIAS SCAN — check my stated reasoning against: confirmation bias (did I only look for agreement?), recency bias, anchoring (am I anchored to a price I remember?), sunk-cost (am I already committed?), and narrative fallacy. Cite the exact phrase in MY description that triggers each flag. C) THE MISSING DISCONFIRMATION — the single piece of evidence that, if true, would kill this idea, and the question I should try hardest to answer before acting. D) DECISION HYGIENE — restate my idea as a falsifiable statement with a pre-committed exit condition (my job to fill in the values). My reasoning (genericized): [DESCRIBE THE LOGIC, NOT THE TICKER] Rules: Attack the reasoning, never bless it — no 'sounds good', no probability of success, no price targets. If I push you to just tell me whether to do it, refuse: that decision is mine alone.
Why this prompt works
The pre-mortem is one of the few debiasing techniques with real evidence behind it, and it needs an tireless opponent — exactly what an LLM is. Genericizing the ticker keeps the model arguing about logic instead of hallucinating market facts.
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When should I use this prompt?
You're convinced. That's the problem. Make the strongest case against your own idea while it still costs nothing.
Why does this prompt work?
The pre-mortem is one of the few debiasing techniques with real evidence behind it, and it needs an tireless opponent — exactly what an LLM is. Genericizing the ticker keeps the model arguing about logic instead of hallucinating market facts.
What mistake does this prompt help you avoid?
{'code': 'TR07', 'note': 'The model blessing the trade — validation, endorsement, ratings, and probability-of-success are all explicitly banned; only the case AGAINST gets built.'}
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