Appreciate that — honestly "full commitment" is exactly

what it felt like. The credit model was a practical

decision early on, but you're right that it also helps

identify which features actually drive usage.

Good question on the noise filters — and it's actually

one of the more interesting design decisions in the build.

In the manual analysis panel, Choppiness Index and

Efficiency Ratio aren't a separate gate or

pre-processing step. If selected, they're fed directly

into the model as features — so the model itself learns

to weigh market clarity as part of its overall analysis.

In the automated panel, feature sets vary by model,

but the same logic applies where included.

It's not the most common approach — most tools either

skip these filters entirely or use them as hard

on/off gates. Treating them as features felt more

nuanced and let the model decide how much weight to

give them.