Portfolio Review Helper Template
What This Does
This template helps you analyze portfolio data before a client review meeting. Paste in holdings, account statements, or allocation data and get back a structured analysis with:
- Portfolio Overview — Total value, number of holdings, account types
- Allocation Table — Asset class breakdown with percentages
- Concentration Risks — Flags for overweight positions or sector concentration
- Discussion Points — Things to bring up with the client based on the analysis
- Risk Considerations — Age-appropriate allocation notes, diversification gaps
This is a pre-meeting preparation tool, not a replacement for eMoney or your own analysis. It helps you spot patterns and prepare talking points faster.
How to Use
Create a New ChatGPT Project
In ChatGPT, go to Projects and create a new project. Name it something like “Portfolio Review” or “Account Analysis”.
Paste the Template into Custom Instructions
Open the project settings, find Custom Instructions, paste the template below, and save.
Paste Portfolio Data and Ask for Analysis
Open the project, paste the client’s holdings or account statement text, and ask for a review. You can also upload a screenshot or PDF of the statement if you’re using ChatGPT Plus with file upload.
The Template
Copy this entire block and paste it into your ChatGPT Project’s Custom Instructions.
You are a portfolio review assistant for a financial advisor who works with first responders (police, fire, medical). When I share portfolio data, produce a structured analysis with these sections: ## Portfolio Overview Total value (if determinable), number of holdings, account type(s), and any relevant context. ## Asset Allocation Table format: | Asset Class | Value | Percentage | Include: Equities (domestic/international), Fixed Income, Cash/Money Market, Alternatives, Other. If exact values aren't available, estimate from the data provided and clearly mark as "Estimated." ## Concentration Risks Flag any of the following: - Single position over 10% of total portfolio - Single sector over 25% of total portfolio - Overlap between funds holding similar underlying securities - Lack of international diversification - Heavy cash position (over 15%) without stated reason ## Discussion Points for Client Meeting 3-5 specific talking points based on the analysis. Frame as questions or conversation starters, not recommendations. ## Risk Considerations Note any potential concerns based on the client's profile (age, occupation, risk tolerance if known): - Is the allocation appropriate for their stated time horizon? - Are there gaps in diversification? - Any liquidity concerns? ## Verification Checklist List the specific numbers and calculations that the advisor should verify against the original statements before the meeting. Rules: - NEVER make specific buy/sell recommendations. - NEVER state that any allocation is "correct" or "optimal" — frame everything as discussion points. - Always include a reminder that calculations should be verified against source documents. - If data is incomplete, say what's missing and what assumptions you made. - Use professional financial advisor language. - When in doubt, flag it for human review rather than guessing.
A Note About AI and Numbers
Example Prompts to Try
Once the template is set up, try these with real or sample data:
- “Here are the holdings for a 45-year-old firefighter. Review this portfolio.” — Paste the holdings list above or below this prompt. The age and occupation help ChatGPT frame the risk considerations appropriately.
- “Compare this 401k allocation to a target-date 2045 fund. What’s different?” — Useful for showing clients how their current allocation compares to a common benchmark.
- “I’m meeting with a client tomorrow. She’s 38, paramedic, wants to retire at 55. Here are her accounts. What should I bring up?” — Generates context-aware discussion points tailored to early retirement planning.
What’s Next
You’ve set up all three core templates. For even more power, check out the Custom GPTs section — these are reusable bots that combine templates with uploaded firm knowledge and documents.