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Copy-paste AI prompts for the deal desk, the trading floor, and the buy side. Thursday, July 9, 2026 · For Investment Banking · Sales & Trading · Investment Management | Your full brief — all five sections’ prompts, ready to paste into your own LLM. Plus the searchable archive of every prompt we’ve shipped. One ready-to-run prompt a day for the exact work you do — banking, trading, buy-side research, modeling, and decks. Paste into your own LLM. No news, no fluff. | SECTION 1 - INVESTMENT BANKING Banking For: IB coverage / M&A / capital markets analysts & associates Precedent-transactions screen + adjusted-multiples framing You need a defensible set of precedent M&A deals for a target and a clean read on what buyers actually paid. You are an M&A associate building a precedent-transactions analysis for a target I describe: [TARGET, sector, size, geography]. Produce: 1. A TABLE of candidate precedent deals (columns: acquirer, target, announced date, deal value, EV/Revenue, EV/EBITDA, % premium, strategic vs financial buyer, rationale). Include only deals you can name a real basis for; where a figure is not provided to you, write "verify". 2. A short note on which deals are the TIGHTEST comparables and why (size, business model, cycle timing). 3. A CLEAN-vs-ADJUSTED flag per multiple: which are distorted by synergies, control premia, or one-time items and should be normalized. 4. The 2-3 questions to resolve before quoting any multiple to a client.
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: Precedent screens live or die on comparability and on separating clean multiples from control/synergy noise — this forces both, plus a verification step so no headline multiple is quoted blind. | | SECTION 2 - SALES & TRADING Sales & Trading For: S&T desk (color / flow / risk) + client-facing sales Morning desk-color note from overnight moves You need a tight, client-ready morning color note synthesizing overnight action for your coverage. You are a sales-trader writing a MORNING desk-color note for [asset class / coverage]. I will paste overnight moves, headlines, and levels. Produce: 1. A 2-3 sentence TL;DR of the overnight setup and the one thing that matters most today. 2. A bulleted MOVES section (what moved, by how much, and the likely why — label speculation as speculation). 3. A WHAT-TO-WATCH list (data, events, levels) with times where relevant. 4. A short positioning/flow read framed as observation, not advice. Keep it desk-voice: concise, specific, no filler. Do not fabricate a level, a print, or a flow — if I did not give it to you, leave it out.
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: Desk color is judged on signal-per-word and honesty about what is fact vs read; this enforces a tight structure and labels speculation, so the note is credible and fast to skim. | | SECTION 3 - INVESTMENT MANAGEMENT Investment Management For: Buy-side analysts & PMs (research / theses / portfolio) Earnings-call transcript signal map You have a transcript and want the buy-side signal — tone shifts, what changed, what was dodged. You are a buy-side analyst extracting SIGNAL from an earnings-call transcript. I will paste it. Produce: 1. WHAT CHANGED vs prior guidance/tone (3-5 specific items, with the quoted line as evidence). 2. WHAT WAS UNSAID or dodged: questions deflected, metrics no longer disclosed, hedged language — quote the source line. 3. A TABLE of the KPIs that matter for this name: prior vs current vs your read. 4. The 3 things to VERIFY in the filing before you trust the narrative. 5. Net SO-WHAT for the thesis in 2 sentences. Quote the transcript for every claim. Do not infer a number that wasn't stated; write "not disclosed" instead.
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: Buy-side edge on calls is in the delta and the dodge, not the summary; forcing quoted evidence and a 'what to verify' step keeps the read honest and thesis-relevant instead of a bland recap. | | SECTION 4 - CROSS-CUTTING Financial Analysis & Modeling For: All roles — IB modeling, IM valuation, S&T scenario work DCF assumption interrogation + sensitivity map You have a DCF and want the assumptions stress-tested before you trust the output. You are a skeptical senior analyst reviewing a DCF for [COMPANY]. I will paste the key assumptions (revenue growth, margins, capex, working capital, tax, terminal growth, WACC, horizon). Do this: 1. Interrogate each assumption in a TABLE: is it internally consistent, consistent with history, and consistent with the industry? Flag any that look aggressive or conservative and why. 2. Identify the 2-3 assumptions the valuation is MOST sensitive to (the value drivers) and estimate the direction/size of the swing. 3. Sanity-check the terminal value as a % of enterprise value and flag if it dominates. 4. Recreate the exact questions a PM/MD would ask, with your suggested answer. Use only the numbers I provide; where an input is missing, request it rather than assuming.
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 DCF's answer lives in 2-3 assumptions and its terminal value; forcing a consistency check plus a sensitivity ranking exposes where the valuation is really being made and pre-empts the review questions. | | SECTION 5 - CROSS-CUTTING Pitch & Presentation For: All roles — IB pitchbooks/IC memos, IM idea write-ups, S&T client notes Pitchbook page narrative + exhibit plan You have a message for a pitchbook page and need the storyline plus the right exhibits to prove it. You are an IB associate designing a pitchbook PAGE. The message I want to land is: [state the single takeaway]. Context: [deal/client]. Produce: 1. An ACTION TITLE for the page that states the conclusion, not the topic (<15 words). 2. The 2-3 supporting POINTS that prove the title, in logical order. 3. An EXHIBIT plan TABLE: for each point, the chart/table that proves it, the data it needs, and the source to verify. 4. What to CUT — anything that doesn't serve the one takeaway. Do not invent data for the exhibits; mark every figure as a fill-in to verify.
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 pitch page should make one argument with an action title and exhibits that prove it; forcing the takeaway-first structure and an exhibit-to-point mapping is exactly how MDs want pages built. | | | | Prompt of the Week (Pro) This week's bonus: a 'comps table builder' that turns a peer set into a formatted trading-comps grid with the multiples flagged as clean vs adjusted. Pro members get the full prompt in the archive. | Your searchable archive Every prompt we’ve shipped, organized by section and task. Open archive → | Prompts reflect real IB/S&T/IM workflows. We make no efficacy or accuracy guarantees — you own the output and must check every figure. Do not paste MNPI or client-confidential data into third-party models. PromptSharp Finance is an educational product. Not investment advice; not a recommendation to buy or sell any security. You are responsible for verifying every output. You are receiving this because you subscribed at aifinancebrief.com. Subscribe · Prompt archive · Go Pro · Unsubscribe |
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