47 lines
2.0 KiB
JSON
47 lines
2.0 KiB
JSON
{
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"max_active": 5,
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"hypotheses": [
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{
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"id": "insider_buying-min-txn-100k",
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"scanner": "insider_buying",
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"title": "Raise min_transaction_value to $100K",
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"description": "Hypothesis: filtering to insider purchases \u2265$100K (vs. current $25K) produces higher-quality picks by excluding routine small-lot grants and focusing on high-conviction, out-of-pocket capital deployment. Research (Lakonishok & Lee 2001; Cohen et al. 2012) shows large-value insider buys predict forward returns; small ones do not.",
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"branch": "hypothesis/insider_buying-min-txn-100k",
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"pr_number": 529,
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"status": "running",
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"priority": 3,
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"expected_impact": "medium",
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"hypothesis_type": "implementation",
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"created_at": "2026-04-10",
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"min_days": 14,
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"days_elapsed": 5,
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"picks_log": [
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"2026-04-10",
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"2026-04-13",
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"2026-04-14",
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"2026-04-15",
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"2026-04-16"
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],
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"baseline_scanner": "insider_buying",
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"conclusion": null
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},
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{
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"id": "earnings_calendar-min-short-interest",
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"scanner": "earnings_calendar",
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"title": "Require short interest >= 20% for earnings plays",
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"description": "Hypothesis: earnings_calendar has a 37.7% 7d win rate and -2.05% avg return — worst performer. APLD (30.6% SI) was consistently the highest-scoring earnings candidate in recent runs. Requiring short interest >= 20% forces the scanner to surface only setups where a positive earnings surprise can trigger forced short covering, converting a weak calendar signal into a squeeze catalyst.",
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"branch": "hypothesis/earnings_calendar-min-short-interest",
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"pr_number": 22,
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"status": "running",
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"priority": 9,
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"expected_impact": "high",
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"hypothesis_type": "implementation",
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"created_at": "2026-04-16",
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"min_days": 10,
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"days_elapsed": 0,
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"picks_log": [],
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"baseline_scanner": "earnings_calendar",
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"conclusion": null
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}
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]
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} |