Investment Thesis
# Investment Thesis — Adversarial Prompt Role-play as a short-seller against a long-thesis. Use this when you want a model to actually challenge your investment idea instead of validating it. ## When to use You have written a thesis for a stock you hold or are about to buy. You want to discover what you missed before the market does. ## Input variables Fill these into the template before sending the prompt to the model: - `{{ticker}}` — the symbol, e.g. `NVDA` - `{{company}}` — full company name, e.g. `NVIDIA Corporation`. Optional. - `{{narrative}}` — your thesis in 2-6 sentences. Why do you believe? - `{{evidence}}` — concrete data you are pointing at (revenue growth, margin, share, etc.). Optional but improves output sharply. - `{{exit_condition}}` — what would make you sell. Optional. - `{{news}}` — 3-8 recent headlines about the company, one per line. Optional. The model will look for hidden risk signals. ## Prompt
fill the variables
This prompt has 6 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.
{{ticker}{{company}{{narrative}{{evidence}{{exit_condition}{{news}
Unlock with Pro →when to use it
Community prompt sourced from the open-source GitHub repo inunyokki-cmd/adversarial-prompts (MIT). A "Investment Thesis" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
businesscommunitygeneral
source
inunyokki-cmd/adversarial-prompts · MIT