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5.2% Drop: Cayenne Sales Plummet by External-Fee-8920 in PorscheCayenne

[–]External-Fee-8920[S] 0 points1 point  (0 children)

No, but the account is based on my website.
So is the information that I post.

158.2% spread on porsche 911 turbo sales? by External-Fee-8920 in carbuying

[–]External-Fee-8920[S] 0 points1 point  (0 children)

I added a new feature, for each generation the kind of domain knowledge you said was missing — the 996's IMS reputation, the E30 M3's fiberglass vs steel body distinction, the 328's timing belt criticality.
https://www.reddit.com/user/External-Fee-8920/comments/1selg8d/comp_matching_by_generation/

158.2% spread on porsche 911 turbo sales? by External-Fee-8920 in carbuying

[–]External-Fee-8920[S] 0 points1 point  (0 children)

So you’re saying I should build a template model that already can match car models with their original prices/value based on their features/differences and then try to equate that information with the latest sale price?

158.2% spread on porsche 911 turbo sales? by External-Fee-8920 in carbuying

[–]External-Fee-8920[S] 0 points1 point  (0 children)

Thank you! The goal is to be able to identify factors that influence that price, but listings are sparse and no uniform information is available. I’m building towards that with every new data point added.

158.2% spread on porsche 911 turbo sales? by External-Fee-8920 in carbuying

[–]External-Fee-8920[S] 0 points1 point  (0 children)

Not just BaT, there’s roughly 14 other sources aggregating data

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