// SURGE SCORE = sum of all signal scores, capped at 100 surge_score = SC13D(0–18) // Schedule 13D filed = 18pts + catalyst(0–15) // M&A+FDA+clinical, additive + pcr(0–12) // put_call <0.35 = 12pts + pm_vol(0–12) // >10× = 12pts, >5× = 9pts + otm_calls(0–10) // call_vol/OI >5 = 10pts + whale(0–8) // new large position = 8pts + short_si(0–8) // SI <3% = 8pts, <7% = 5pts + sentiment(0–7) // Reddit+Twitter velocity + price_act(0–6) // near 52wk high + base + dark_pool(0–4) // >50% dark pool = 4pts // Tiers: CRITICAL ≥ 75 // immediate watchlist ALERT ≥ 60 // monitor closely WATCH ≥ 40 // on radar

// Every morning 14:30 UTC Step 1: Polygon scan → 12,322 tickers Step 2: Liquidity filter → top 200 ($15+, 500k vol) Step 3: SurgeDetector.run_full_scan() Step 4: Filter CRITICAL + ALERT tickers Step 5: POST /api/professor-decision { symbol, surge_score, breakdown } Step 6: Professor Brain adjusts score × regime_multiplier × signal_strength Step 7: Crowly alert → Telegram + Dashboard