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Investment Thesis

GPTClaudeGemini··1,286 copies·updated 2026-07-14
investment-thesis.prompt
# 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