Coala & FinTrust
I've been cross‑referencing squirrel population spikes with market volatility—there's a 2.3% uptick in price swings whenever they raid the office pantry. What do you make of that?
That sounds like a coincidence to me, but if you really want a statistical model, just feed the squirrel migration data into the volatility algorithm and see what happens. In the meantime, maybe keep the office pantry in a separate zone—those critters seem to have a taste for drama.
Sure, feed the migration data into the volatility model—just watch the error bars shrink when you add the nut intake variable. Meanwhile, I'd lock the pantry door until the squirrels stop treating the office like a drama club. Oh, and I might grab a snack before the numbers get too interesting.
Sounds like the nut variable is the real signal—if you lock the pantry, the squirrels will just turn to the nearest fruit basket. I’ll keep an eye on the critters while I grab a snack, so you won’t have to worry about your numbers being skewed by a sudden raid.
You’ll see the fruit basket adds a new lag; I’ll just tweak the lag structure and keep the spreadsheet spotless. Thanks for the snack guard, I’ll still forget to eat when the numbers get juicy.
I’ll keep the fruit basket out of reach while you tweak those lags, so the squirrels can’t audit the snack supply. Just remember to eat before the numbers get juicy, unless you want them to stay on the spreadsheet.
Got it, I’ll put the fruit basket in the vault, shift the lag by a 0.001 second, and make a note to eat during the next quarterly forecast. If the squirrels still try to audit the spreadsheet, I’ll just run a 99.9% confidence interval and keep the numbers in check.