PromptSharp › Daily briefs › Finance › July 29, 2026

Finance prompt of the day

July 29, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

You are a desk strategist building a POSITIONING & SENTIMENT map for [NAME / ASSET / MACRO THEME]. Using only the data I paste below, produce:
1. A POSITIONING read across the inputs I provide (options skew / put-call, short interest, COT / futures positioning, fund flows, survey/sentiment). For each, what it says and its known limitation. Where I have not given you an input, write "not provided" — do not infer it.
2. A CONFLUENCE vs DIVERGENCE synthesis: where the signals agree, where they disagree, and which you would weight and why.
3. A CONTRARIAN check: if positioning is crowded, what unwinds it and what would confirm the crowd is right.
4. An explicit note on what NOT to conclude from this — the overreach to avoid.
[PASTE DATA]

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 “Positioning & sentiment map (flows / skew / COT)”, step by step

The situation this prompt is built for: You want to know how the market is positioned in a name or asset before you form a view, without letting one loud data point become 'the market'. 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: a 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.

• [NAME / ASSET / MACRO THEME] — this is the input the whole output quality hangs on. Each part narrows the answer: name; asset; macro theme. Demo fill: your own name / asset / macro theme — 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 DATA] — this is the input the whole output quality hangs on. Demo fill: your own paste data — 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.

What the model hands back

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

1. A POSITIONING read across the inputs I provide (options skew / put-call, short interest, COT / futures positioning, fund flows, survey/sentiment). For each, what it says and its known limitation. Where I have not given you an input, write "not provided" — do not infer it.
2. A CONFLUENCE vs DIVERGENCE synthesis: where the signals agree, where they disagree, and which you would weight and why.
3. A CONTRARIAN check: if positioning is crowded, what unwinds it and what would confirm the crowd is right.
4. An explicit note on what NOT to conclude from this — the overreach to avoid.

Why this structure works

Positioning work fails when one crowded gauge becomes 'the market says'; forcing each input's limitation, a confluence/divergence synthesis, and an explicit overreach warning keeps the read honest instead of cherry-picked.

On Pro, the positioning gauges arrive pre-ordered by what your desk actually watches (e.g. skew for single-stock vol, COT for commodities) from your saved profile.

When to use it — and when not to

Reach for it when

• You want to know how the market is positioned in a name or asset before you form a view, without letting one loud data point become 'the market'.
• You can actually supply the inputs it asks for ([NAME / ASSET / MACRO THEME] 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: “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

“Positioning & sentiment map (flows / skew / COT)” 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:

You are an equity capital markets banker framing FINANCING STRUCTURE OPTIONS for an issuer I describe: [ISSUER: size, listing status, ownership, use of proceeds,…

You are a buy-side analyst pressure-testing my VARIANT PERCEPTION on [NAME]. Using my notes below, produce: 1. A CONSENSUS-vs-MY-VIEW table: on the 3-4 issues that…

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…

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 [NAME / ASSET / MACRO THEME] 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.

• RIDGE: An Autonomous Framework for Validation and Method Discovery in LLM-Generated Option Pricing (arxiv) — Automated code generation is becoming an important tool in quantitative finance, where large language models can generate option pricing implementations directly from…

Quick answers

Is “Positioning & sentiment map (flows / skew / COT)” 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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