PromptSharp › Daily briefs › Finance › October 22, 2026
PromptSharp Finance · free web issueFinance prompt of the day
October 22, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.
Red-team my trade thesis (pre-mortem + risk map)
Before you put on or upsize a position — or send desk color to a client — force a structured pre-mortem so you are not just reading your own book back to yourself.
Act as the sharpest bear on the other side of my trade. I will give you the thesis, the instrument, the entry, the sizing, and my time horizon. Do this: 1) Restate my thesis in one sentence and name the 3 assumptions it silently depends on. 2) Pre-mortem: it is my horizon-end and the trade lost money. Give the 5 most likely reasons, ranked, and the earliest observable signal that each is starting to happen. 3) Map the risks: what's idiosyncratic vs factor/macro, what's crowded, what's the liquidity/gap risk, and what event dates fall inside my horizon. 4) Tell me what price/data would FALSIFY the thesis (my exit), and what would make me want to add. 5) Give a one-line 'the market is offering me this trade because ___' — i.e. what edge or risk premium am I actually being paid for. Be concrete, no hedging language. Do NOT tell me to buy or sell — pressure-test only. Here is the setup: [THESIS, INSTRUMENT, ENTRY, SIZE, HORIZON] Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.
Why it works — A structured pre-mortem + falsification level is how disciplined desks avoid marrying a position. The 'why is the market offering me this' line surfaces whether you're paid for edge or just taking hidden risk. It explicitly refuses to give directional advice.
What changed for Finance
[Limitless AI] AI Just Saved SpaceX: Record $14.6B Quarter, First Profit and a Tesla Merger
Four months ago, half of Wall Street wrote off SpaceX's record IPO as massively overvalued. Last night it reported $14.6 billion in revenue in a single quarter and the first profit in its history.…
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[No Priors] The New Apex Predator: CrowdStrike CEO George Kurtz on Adversaries Armed With AI Agents
Adversaries are already running AI agents, and the fastest attacks now play out in seconds. Sarah Guo and Elad Gil sit down with CrowdStrike president and CEO George Kurtz on what AI-equipped…
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See pricing → About this verticalHow to run “Red-team my trade thesis (pre-mortem + risk map)”, step by step
The situation this prompt is built for: Before you put on or upsize a position — or send desk color to a client — force a structured pre-mortem so you are not just reading your own book back to yourself. Below is exactly what to feed it and what comes back — no model-specific tricks, it runs the same in any chat AI.
What each placeholder does
Demo profile for the example fills: an equity research associate on a mid-cap sector coverage team, working in Excel, a chat AI model, and your firm's data terminal. Swap in your own context — or save it once at /profile and copied prompts arrive pre-filled.
- [THESIS, INSTRUMENT, ENTRY, SIZE, HORIZON] — this is the input the whole output quality hangs on. Each part narrows the answer: thesis; instrument; entry; size; horizon. Demo fill: your own thesis, instrument, entry, size, horizon — one or two concrete lines beats a paragraph of vague context. Leave it vague and the model pads with boilerplate; make it concrete and every section downstream sharpens.
Why this structure works
A structured pre-mortem + falsification level is how disciplined desks avoid marrying a position. The 'why is the market offering me this' line surfaces whether you're paid for edge or just taking hidden risk. It explicitly refuses to give directional advice.
On Pro, tailored to your profile — asset class, desk type, and whether you're client-facing — so the pre-mortem framing, risk vocabulary, and output style match how your desk actually writes. Your book and positions never leave your side; the prompt asks YOU for them.
When to use it — and when not to
Reach for it when
- Before you put on or upsize a position — or send desk color to a client — force a structured pre-mortem so you are not just reading your own book back to yourself.
- You can actually supply the inputs it asks for ([THESIS, INSTRUMENT, ENTRY, SIZE, HORIZON]) — this prompt is an amplifier for real context, not a substitute for it.
- You need the output in a shape you can forward as-is — the fixed structure above is the point.
Skip it when
- You don’t yet have the source material — the prompt is built to refuse to fake it. Its own guardrail: “Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it.” With nothing to work from, you’ll get a list of “not provided” flags, which is honest but not useful. Collect the inputs first.
- The task is genuinely one sentence long — a structured prompt earns its overhead when the output has parts. For quick one-off questions, just ask.
Adapting today’s prompt for adjacent roles
“Red-team my trade thesis (pre-mortem + risk map)” sits in the Sales & Trading lane of the finance pool. If your seat is one desk over, these are the same craft-move rebuilt for the neighbouring workflow — pulled from the same curated pool, each free in full at its permalink:
Football-field valuation range synthesis
Banking · same finance pool
You have several valuation methods and need to synthesize them into a defensible range with a clear story.
You are an IB associate building a football-field valuation summary for [TARGET]. I will paste the ranges from each method (DCF, trading comps, precedent transactions,…
A football field is a persuasion tool only if the weighting logic and the reconciliation of disagreements are explicit — this builds both, and…
Management & capital-allocation scorecard
Investment Management · same finance pool
You want to grade management on the thing that compounds: capital allocation and incentives.
You are an analyst scoring the management team of [COMPANY]. I will give the history/facts (M&A, buybacks, dividends, capex, debt, comp structure, insider ownership,…
Capital allocation compounds over years and is under-analyzed vs the model; a scorecard grounded in the actual M&A/buyback track record and…
Sum-of-the-parts (SOTP) valuation build
Financial Analysis & Modeling · same finance pool
A multi-segment company is mispriced as a whole and you want a defensible SOTP with the right method per segment.
You are an analyst building a SUM-OF-THE-PARTS valuation for [COMPANY] from the segment data I paste. Produce: 1. A SEGMENT MAP: for each segment, the most appropriate…
SOTP fails when the same multiple is sprayed across dissimilar segments and the equity bridge is fudged; forcing method-per-segment logic and an…
Common failure modes (and the fixes)
- Failure: letting the model drift past the prompt’s own guardrail — “Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: letting the model drift past the prompt’s own guardrail — “Mark every claim I should verify externally before relying on it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: letting the model drift past the prompt’s own guardrail — “Never use, infer, or request material non-public information (MNPI) or client-confidential data.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: filling [THESIS, INSTRUMENT, ENTRY, SIZE, HORIZON] with a vague summary. The output can only be as specific as this input — generic context in, generic deliverable out. Fix: paste raw specifics (real names, real numbers, real constraints), then trim the model’s output, not your input.
- Failure: accepting the first pass. Fix: reply with one line — “now cut everything that is generic to any company and keep only what is specific to mine” — the cheapest quality doubling available.
Where AI is landing for investment banking right now
Context for today’s prompt, from the same screened sources the daily brief reads. Our read, with sources linked — the pattern across items like these is consistent: the professionals getting leverage from AI are the ones feeding it real working context, which is exactly the muscle today’s prompt trains.
- [Limitless AI] AI Just Saved SpaceX: Record $14.6B Quarter, First Profit and a Tesla Merger (podcast) — Four months ago, half of Wall Street wrote off SpaceX's record IPO as massively overvalued. Last night it reported $14.6 billion in revenue in a single quarter and the first…
- [No Priors] The New Apex Predator: CrowdStrike CEO George Kurtz on Adversaries Armed With AI Agents (podcast) — Adversaries are already running AI agents, and the fastest attacks now play out in seconds. Sarah Guo and Elad Gil sit down with CrowdStrike president and CEO George Kurtz on…
Quick answers
Is “Red-team my trade thesis (pre-mortem + risk map)” free to use?
Yes — every weekday issue of the PromptSharp Finance publishes one full pool prompt free on the web, and it stays free in the archive. Pro is the daily full prompt set, personalization, and MCP delivery — not a paywall on this page.
Which AI model does this prompt work with?
Any of them. Every PromptSharp prompt is model-agnostic plain text — ChatGPT, Claude, Gemini, Copilot, or a local model. No plugins, no custom GPTs; paste and run.
How is the finance prompt of the day chosen?
Deterministic rotation over the curated finance pool — currently 80 prompts across 5 sections — the same single source the paid brief reads. Same date, same prompt: the archive never silently changes under you.
What goes in the [BRACKETED] placeholders?
Your context — the walkthrough above covers each one. The short rule: the more concrete the fill (real names, numbers, constraints), the sharper the output. Save your details once at /profile and web copies arrive pre-filled.
How do I get this in my inbox instead?
The capture form above. The PromptSharp Finance email edition lands most weekday mornings, plus a Sunday roundup; the web issue stays free here either way.
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