AI Investor local-LLM research system
grading.log

Does the screener's own conviction rating actually predict forward returns, and does it beat just holding the passive benchmark? Reported exactly as computed -- if a tier is underperforming, that shows here, not just the tiers that make the system look good.

TierNAvg Fwd Return Std DevWin RateAlpha vs Benchmark
HIGH 19-3.00% 5.9% 37%-5.98% (26% beat it)
MEDIUM 101-2.76% 13.4% 42%-6.13% (28% beat it)
LOW 2+0.28% 0.2% 100%+0.60% (100% beat it)
TierNAvg Fwd Return Std DevWin RateAlpha vs Benchmark
HIGH 2-23.73% 5.8% 0%-24.41% (0% beat it)
MEDIUM 62-7.23% 17.3% 34%-8.37% (31% beat it)
LOW 13+3.41% 11.2% 69%+1.73% (62% beat it)
TierNAvg Fwd Return Std DevWin RateAlpha vs Benchmark
MEDIUM 23+7.30% 12.0% 65%+0.68% (48% beat it)
LOW 5-16.40% 40.8% 40%-17.97% (40% beat it)