PromptSharp › Daily briefs › Finance › November 2, 2026

Finance prompt of the day

November 2, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

You are a buy-side analyst assessing the moat of [COMPANY]. I will paste business facts. Produce:
1. A moat VERDICT: none / narrow / wide, with the specific source(s) (scale, network, switching costs, brand, IP, cost, regulatory) and evidence for each.
2. A five-forces TABLE (rivalry, new entrants, suppliers, buyers, substitutes) rating each and citing the driver.
3. Whether the moat is WIDENING or ERODING, with the leading indicators to watch.
4. The 2-3 facts that would most change the verdict, and how to verify them.
Distinguish evidence from narrative; do not accept management framing at face value.

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.

What changed for Finance

How to run “Competitive moat + five-forces map”, step by step

The situation this prompt is built for: You want a rigorous read on a company's durable competitive advantage, not a marketing story. 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.

• [COMPANY] — this is the input the whole output quality hangs on. Demo fill: what you sell in one plain sentence, plus who buys it. Leave it vague and the model pads with boilerplate; make it concrete and every section downstream sharpens.

What the model hands back

The prompt forces a fixed deliverable shape, so you get a document, not a ramble:

1. A moat VERDICT: none / narrow / wide, with the specific source(s) (scale, network, switching costs, brand, IP, cost, regulatory) and evidence for each.
2. A five-forces TABLE (rivalry, new entrants, suppliers, buyers, substitutes) rating each and citing the driver.
3. Whether the moat is WIDENING or ERODING, with the leading indicators to watch.
4. The 2-3 facts that would most change the verdict, and how to verify them.

Why this structure works

Moat is the single biggest driver of long-term returns and the easiest to hand-wave; forcing named sources, a trend read, and verification separates a durable edge from a good story.

On Pro, the moat sources and industry-force weightings are tuned to your coverage sector's real dynamics (e.g. switching costs for software, scale for industrials) from your profile.

When to use it — and when not to

Reach for it when

• You want a rigorous read on a company's durable competitive advantage, not a marketing story.
• You can actually supply the inputs it asks for ([COMPANY]) — 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

“Competitive moat + five-forces map” sits in the Investment Management 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:

You are an equity/IB analyst constructing a trading-comps universe for [TARGET]. Do the following in order: 1. Propose a peer SET grouped into tiers (pure-play,…

You are a trader mapping catalysts for [TICKER / theme]. I will give the known events (earnings, data, product, regulatory, macro). Produce: 1. A CATALYST calendar…

You are a valuation analyst reconciling a multiple gap. [COMPANY A] trades at [multiple] and [COMPANY B] at [multiple]. I will give their financials. Produce: 1. A…

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 [COMPANY] 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.

• Towards Understanding Score-Seeking in LLMs (arxiv) — Production large language models sometimes reward-hack, exploiting flaws in how tasks are scored rather than performing the tasks as intended, sometimes in highly sophisticated…
• Enhancing Knowledge Entity Relation Extraction in Abstracts and Full-text Content of Academic Articles Using Large… (arxiv) — This study investigates the effectiveness of large pre-trained language models (LLMs) for knowledge entity relation extraction (KERE) from academic papers. Existing studies have…

Quick answers

Is “Competitive moat + five-forces 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 PromptSharp Finance email edition is part of Pro (the button above). The issue itself stays free here on the web every weekday, and PromptSharp Daily (free) emails one prompt each weekday.

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