PromptSharp › Daily briefs › Finance › September 1, 2026
PromptSharp Finance · free web issueFinance prompt of the day
September 1, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.
IC / investment memo first draft from a raw thesis
You have the thesis and the numbers in your head (or a messy notes doc) and need a structured first-draft memo you can edit, not a blank page.
Act as an associate drafting an investment committee memo. Turn my raw notes into a structured first draft using EXACTLY these headings: Recommendation & ask - Situation - Business & why it wins - Investment thesis (3-5 numbered points) - Key financials & valuation - Risks & mitigants - Diligence gaps / open items - Proposed next steps. Rules: - Lead every section with the conclusion, then support it (BLUF). - Keep it tight and specific; no filler adjectives, no hype. - Where I have not given you a number, write [TBD: <what is needed>] rather than guessing. - Under Risks, steelman the bear case in 3 points and give an honest mitigant for each (or say 'no clean mitigant'). - End with the 5 questions the sharpest person in the room will ask. Here are my raw notes: [PASTE YOUR NOTES / THESIS / NUMBERS] 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 — BLUF structure + a fixed heading set gets you to a defensible draft fast, and the forced bear-case + [TBD] tags stop the memo from reading like a sell-piece. The 'sharpest questions' close is your pre-read prep.
What changed for Finance
The Race between Agentic AI Capabilities and Data Quality Control in Online Surveys
Online surveys are a foundational data collection instrument in a variety of fields, with attention checks serving as critical guardians of response quality. However, the rapid emergence of agentic…
arxiv
Agentic Quantitative Trading: A Survey of Workflows, Systems, and Evaluation
Quantitative trading is moving from isolated predictive models toward agentic workflows that combine reasoning, tool use, memory, and feedback. This survey reviews agentic quantitative trading…
arxiv
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See pricing → About this verticalHow to run “IC / investment memo first draft from a raw thesis”, step by step
The situation this prompt is built for: You have the thesis and the numbers in your head (or a messy notes doc) and need a structured first-draft memo you can edit, not a blank page. 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.
- [TBD: <what is needed>] — this is the input the whole output quality hangs on. Demo fill: your own tbd: <what is needed> — 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.
- [PASTE YOUR NOTES / THESIS / NUMBERS] — this is the input the whole output quality hangs on. Each part narrows the answer: paste your notes; thesis; numbers. Demo fill: your own paste your notes / thesis / numbers — 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
BLUF structure + a fixed heading set gets you to a defensible draft fast, and the forced bear-case + [TBD] tags stop the memo from reading like a sell-piece. The 'sharpest questions' close is your pre-read prep.
On Pro, the heading set and tone adapt to the memo style you pick in your profile — IC memo, pitchbook page, IM idea write-up, or S&T client note — so the same engine drafts in the format your role actually ships.
When to use it — and when not to
Reach for it when
- You have the thesis and the numbers in your head (or a messy notes doc) and need a structured first-draft memo you can edit, not a blank page.
- You can actually supply the inputs it asks for ([TBD: <what is needed>] and 1 more) — 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: “- Lead every section with the conclusion, then support it (BLUF).” 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
“IC / investment memo first draft from a raw thesis” sits in the Pitch & Presentation 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:
Strategic-buyer longlist + diligence question tree
Banking · same finance pool
Early-stage sell-side or a pitch: you need a defensible universe of logical acquirers and the diligence questions each raises.
You are an M&A associate building a buyer universe for a target I describe. Produce two things: A) A strategic + financial buyer LONGLIST. For each buyer give: name,…
Gets you from a blank buyer list to a grouped, rationale-tagged longlist plus the diligence spine in one pass — and the 'infer vs certain / verify…
Red-team my trade thesis (pre-mortem + risk map)
Sales & Trading · same finance pool
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…
A structured pre-mortem + falsification level is how disciplined desks avoid marrying a position. The 'why is the market offering me this' line…
10-K / earnings-call synthesis into a one-page decision brief
Investment Management · same finance pool
You have a filing or a transcript and 20 minutes before an idea review. You need the signal, not a summary.
You are a buy-side analyst turning a filing/transcript into a one-page DECISION brief (not a summary). I will paste the document. Output: 1) The 3 things that actually…
Forces signal-extraction (what changed, what was unsaid, what to verify) instead of a bland recap, and the 'quote the source text' rule makes every…
Common failure modes (and the fixes)
- Failure: letting the model drift past the prompt’s own guardrail — “- Lead every section with the conclusion, then support it (BLUF).” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: filling [TBD: <what is needed>] 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.
- The Race between Agentic AI Capabilities and Data Quality Control in Online Surveys (arxiv) — Online surveys are a foundational data collection instrument in a variety of fields, with attention checks serving as critical guardians of response quality. However, the rapid…
- Agentic Quantitative Trading: A Survey of Workflows, Systems, and Evaluation (arxiv) — Quantitative trading is moving from isolated predictive models toward agentic workflows that combine reasoning, tool use, memory, and feedback. This survey reviews agentic…
Quick answers
Is “IC / investment memo first draft from a raw thesis” 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 75 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 — PromptSharp Finance status is honest: live briefs send every weekday; pre-launch verticals email their free list the day the email edition starts.
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