PromptSharp › Daily briefs › Finance › July 23, 2026
PromptSharp Finance · free web issueFinance prompt of the day
July 23, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.
Trade post-mortem + process fix
A trade closed (win or loss) and you want to extract the process lesson, not just the P&L.
You are a trading coach running a POST-MORTEM on a closed trade. I will give the thesis, entry, sizing, management, exit, and outcome. Produce: 1. A verdict on PROCESS vs OUTCOME: was this a good decision regardless of result? Explain. 2. A TABLE separating what was in your control (thesis, sizing, risk plan, discipline) from what was not (news, tape). 3. The single biggest process error or good habit, with evidence from what I described. 4. One concrete, checkable rule to add to your process so this repeats (if good) or doesn't (if bad). Be direct. Do not soften a real error, and do not invent details I did not give you. 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
FORCE-Bench: A Benchmark, Dataset, and Evaluation Harness for Agentic AI in Enterprise Finance
Recent advances in large language models have accelerated deployment of agentic systems in operational finance. Existing benchmarks emphasize measuring general capabilities, instruction following,…
arxiv
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See pricing → About this verticalHow to run “Trade post-mortem + process fix”, step by step
The situation this prompt is built for: A trade closed (win or loss) and you want to extract the process lesson, not just the P&L. Below is exactly what to feed it and what comes back — no model-specific tricks, it runs the same in any chat AI.
What the model hands back
The prompt forces a fixed deliverable shape, so you get a document, not a ramble:
- A verdict on PROCESS vs OUTCOME: was this a good decision regardless of result? Explain.
- A TABLE separating what was in your control (thesis, sizing, risk plan, discipline) from what was not (news, tape).
- The single biggest process error or good habit, with evidence from what I described.
- One concrete, checkable rule to add to your process so this repeats (if good) or doesn't (if bad).
Why this structure works
Good traders grade process, not P&L; separating controllables from luck and converting the lesson into one checkable rule is how a post-mortem actually changes future behavior instead of just venting.
On Pro, the process rubric and the risk conventions (max loss, sizing bands) are pre-set to your desk's discipline standards from your profile, so the grade is against your own rules.
When to use it — and when not to
Reach for it when
- A trade closed (win or loss) and you want to extract the process lesson, not just the P&L.
- 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
“Trade post-mortem + process fix” 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:
Accretion / dilution first-pass sanity check
Banking · same finance pool
You want a quick, structured read on whether a deal is accretive before building the full model.
You are an M&A analyst running a FIRST-PASS accretion/dilution check. I will give acquirer and target [EPS, net income, shares, offer price, % cash vs stock, expected…
Accretion/dilution intuition is a core IB reflex; making the model show its steps and its breakeven/sensitivity catches sign errors and forces the…
Competitive moat + five-forces map
Investment Management · same finance pool
You want a rigorous read on a company's durable competitive advantage, not a marketing story.
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)…
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…
Financial-ratio trend diagnostic
Financial Analysis & Modeling · same finance pool
You want a fast, structured read of a company's financial health and where it's trending.
You are an analyst running a ratio diagnostic on [COMPANY] across the periods I provide. Produce: 1. A TABLE of key ratios by category — profitability…
Ratios in isolation mislead; putting them in categories with trend arrows and flagging the ones deteriorating turns a data dump into a health…
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: 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.
- FORCE-Bench: A Benchmark, Dataset, and Evaluation Harness for Agentic AI in Enterprise Finance (arxiv) — Recent advances in large language models have accelerated deployment of agentic systems in operational finance. Existing benchmarks emphasize measuring general capabilities,…
Quick answers
Is “Trade post-mortem + process fix” 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.
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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