Market Analysis
·Russell Horton

40,000 Transactions. Here's What We Actually Track.

methodologydatamarket intelligence

I built Wildfolio because I got tired of guessing.

I've watched guys write $15,000 checks on breeding stock without knowing what that species sold for last month. I've seen ranchers price animals based on what their neighbor got two years ago — not realizing the market moved 40% since then. I've done it myself. You're at the auction, the bidding starts, and your "market research" is a conversation you had at the feed store.

That's how most of this industry works. And it's how people overpay, underprice, or hold animals they should have sold six months ago.

The transaction data existed. It was just scattered across dozens of sale venues, unstandardized, and gone the next week. Nobody was collecting it, cleaning it, and making it searchable. So we started.

What's in the dataset

Over 40,000 verified transactions across 250+ species. Every record includes species, sex, sale price, and date. Every record is a real closed sale — an animal that actually sold for an actual price.

We don't count listings. A listing at $8,000 tells you what one seller hopes to get. It doesn't tell you what the market is paying. Thirty closed sales for that species at a $5,200 median — that tells you something useful. That's the difference between browsing and intelligence.

How we verify it

Exotic livestock data is messy. Species names are inconsistent across venues. Sex isn't always listed. Lot descriptions are all over the place. Every transaction is reviewed by a human before it enters the production dataset. Records get classified by species and sex, priced, dated, and either approved or rejected.

That's slower than just dumping raw data into a dashboard. It's also why the numbers are worth trusting.

What we do with it

Once transactions are verified, we compute the stuff that actually helps you make decisions:

Species-level pricing — median prices by species and sex, updated with every new snapshot. We use medians, not averages, and we automatically strip statistical outliers. If one animal sells for 10x the norm — a record-breaker or a data entry error — it doesn't drag the number for everyone else. The goal is a clean signal, not noise.

Directional movement — month-over-month and year-over-year trends. When we say Axis does are up 18%, that means the observed median increased 18% compared to the prior 30-day window.

Sex-based breakdowns — always. A "Blackbuck price" that blends trophy males and breeding females is useless. They're different animals in different economic contexts. We never collapse that data.

Market health — a composite score based on volume, price stability, and breadth across species. It tells you whether the market is active and functional, not whether you should buy or sell.

What the data is — and isn't

This is important: we classify animals by species and sex. That's it. We don't grade animals. We don't score horns. We don't distinguish a cull buck from a trophy.

That means a median Axis price includes everything that sold as an Axis within normal market range — from a young doe to a solid buck in the same sex category. Outliers are already removed. The number is directional. It tells you where the market is moving and how fast. It's not an appraisal of any specific animal on your ranch.

If someone tells you your animal is worth exactly what our median says, they're misusing the data. This is market intelligence — the big picture across hundreds of sales. What any individual animal is worth depends on age, genetics, condition, and a dozen things we don't track. The market trend is the context you bring to that conversation.

What we don't do

We don't tell you what to buy. We don't forecast prices. We don't appraise individual animals.

We show you the exotic market as it is — across species, across time, across sex — and let you make your own call.

The data is the product. Everything else is just a way to look at it.


See what the market is doing right now at wildfol.io.

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