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Copy-paste AI prompts for the deal desk, the trading floor, and the buy side. Wednesday, October 7, 2026 · For Investment Banking · Sales & Trading · Investment Management | Your full brief — all five sections’ prompts, ready to paste into your own LLM. Plus live MCP delivery into your AI tools. 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. Copy & paste into your own LLM 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. Copy & paste into your own LLM 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. Copy & paste into your own LLM 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 Sum-of-the-parts (SOTP) valuation build A multi-segment company is mispriced as a whole and you want a defensible SOTP with the right method per segment. Copy & paste into your own LLM 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 valuation method (comps multiple, DCF, asset value) and WHY that method fits the segment's economics.
2. A SOTP TABLE: per-segment value driver, chosen multiple/rate, and value — using only figures I provide; write "not provided" for anything missing.
3. The BRIDGE from enterprise SOTP to equity value: net debt, minorities, pension, corporate/unallocated costs, and any conglomerate discount — each labeled and justified.
4. A SENSITIVITY on the 2 segments that swing the answer most, and the 2 assumptions 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: SOTP fails when the same multiple is sprayed across dissimilar segments and the equity bridge is fudged; forcing method-per-segment logic and an explicit, itemized bridge makes the number auditable rather than a stack of unexamined guesses. | | 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. Copy & paste into your own LLM 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 prompt archive Every prompt we’ve shipped — browse the full back-catalog. 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 to PromptSharp Finance at promptsharp.ai. ECWE VENTURES LLC · 202 N Cedar Ave, STE #1, Owatonna, MN 55060 Subscribe · Prompt archive · Go Pro · Unsubscribe |
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