ThinkWithPrompt by SynotticThinkWithPrompt

Estimate what my trading cards or collectibles are worth

A method for pricing cards, sealed products, or collectibles from real sold data, with grading and selling guidance.

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The prompt

Help me estimate what my trading cards or collectibles are worth. Items: [LIST — name, set, number, edition or print run, year] Condition: [raw or graded; if graded, the company and grade; describe wear, centering, edges, surface, or sealed packaging condition] Where I'm located: [COUNTRY] Goal: [sell now / hold / insure / trade / decide whether to grade] Price data I have: [paste recent sold listings, or say "none"] Work through: 1. Comparable sales: explain how to find recent sold prices (not asking prices) on major marketplaces and price-tracking sites for the exact item, condition, and grade. If I pasted data, summarize it: number of sales, date range, low, median, high. 2. Value range: a realistic range for each item based only on the data provided, with a note on how thin or noisy the data is. If there is no data, say so instead of guessing a number. 3. Price drivers: condition, grading, print run, demand cycles (new set releases, reprints, anniversaries), and seasonality. 4. Grading decision: whether grading is likely worth the fee and wait time, based on condition and the price gap between raw and graded copies. 5. Selling options: marketplace, local shop, auction, or consignment, with fees and the net amount I would actually receive. 6. Trend check: how to tell whether a recent price drop is a lasting trend or noise. This is a pricing method, not investment advice. Collectible prices are volatile; don't buy or hold anything on the expectation of future gains.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • LIST — name, set, number, edition or print run, year
  • COUNTRY
  • sell now / hold / insure / trade / decide whether to grade
  • paste recent sold listings, or say "none"

How this prompt is built

This prompt follows the RTF structure (Role, Task, Format). RTF tells the model who to be, what to do and what shape the answer should take. It is the quickest structure that still gives noticeably better results than a bare request.

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