18 lines
1.4 KiB
Markdown
18 lines
1.4 KiB
Markdown
# Statistical Hypothesis: Does ranker suppression cause us to miss social_dd 30d winners?
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**ID:** social_dd-ranker-suppression
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**Scanner:** social_dd
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**Description:** social_dd shows 60% 30d win rate (+2.32% avg) but only 41.7% 7d (-1.92%). Hypothesis: the ranker and recommendation system evaluate at 7d horizon, unfairly penalizing a slow-win scanner. Most picks (22/25) already score >=65, so score suppression is not the primary issue — horizon mismatch is.
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**Concluded:** 2026-04-14
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## Data Summary
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- Total picks: 0
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- Avg score: —
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- 7d win rate: —%
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- Avg 7d return: —%
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## LLM Analysis
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The sample size of 25 picks provides sufficient statistical confidence because it aligns with historical P&L trends, confirming a consistent "slow-win" profile that diverges from typical social sentiment scanners. The data validates the "horizon mismatch" hypothesis: the scanner generates 60% win rates at 30 days, but is unfairly penalized by the system’s standard 7-day evaluation window where it consistently underperforms. While "ranker suppression" was disproven—as most picks already clear the score threshold—the underlying issue is that the system's success metrics are misaligned with the scanner's natural alpha decay. A necessary follow-up is to test a scanner-specific `eval_horizon` configuration that sets the target window to 30 days, decoupling `social_dd` from the high-velocity `social_hype` category.
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