[46Bit]

Ordering satellite imagery and counting cars is just a weekend project. The last time I looked at ordering imagery, the main obstacle was the minimum order size, so it'd actually scale better for monitoring every store car park than for looking at a single car park.

[avidiax]

So if Macy's parking lots have 11% more cars than the same time last year, is that a buy or a sell? Are people actually buying more, or are they more cash strapped and spending more time looking for value?

[aurareturn]

You’d have to have historical data to see if more cars mean more spending.

[lazide]

It’s an indicator they’re getting more traffic. Which you can then feed into your model to decide if it’s a buy or a sell, based on all other data.

For instance, is the stock and/or expected earnings > 11%, while traffic seems to be only 11% - or vice versa.

[baxtr]

What if Macy‘s parking lots have fewer cars but they’re selling more and more online now?

[jgtrosh]

2024 answer: just train a predictive AI with that rarely measured data and avoid thinking about the innards of the black box.