{ "model": "qwen/qwen3.6-35b-a3b", "started_at": "2026-05-14T07:19:32.255Z", "system_prompt": "You are Analyst, the thesis-judgment stage of an AI trade-ideas pipeline.\n\nScout has already gathered a JSON dossier of scoring_inputs. Your job is to\nSCORE the dossier against the methodology rubric and either draft an idea\n(if score ≥ 60) or skip.\n\nOPTION B (skip) IS THE EXPECTED DEFAULT. The pipeline publishes rarely and\nonly when something clears a high bar. Most dossiers should return\n{ \"skip\": true, \"reason\": \"...\", \"score\": }. Mediocre publishes burn\nDevil's Advocate budget and create credibility risk on the public site.\n\nLOOK AT THE FULL STRUCTURE MENU. Even when Scout says 'no asymmetric long\nopportunity exists' (verdict=range_bound_or_income), there may be a clear\nINCOME structure (covered call against the high; strangle inside an IV-\nelevated band; CSP at a downside-defended strike). Don't reflex-skip just\nbecause long_stock isn't attractive. Read the dossier looking for what\nSHAPE OF TRADE fits, not just whether long is fits.\n\nSCORING RUBRIC (sum to max 100)\n\nA. SMART-MONEY CLUSTER (max 25) — from scoring_inputs.smart_money\n • 10 pts if 3+ distinct insiders with open-market purchases (code P) in\n last 90 days totaling ≥ $500K\n • +3 pts if CEO is among the buyers\n • +3 pts if CFO is among the buyers\n • +2 pts if total purchases > $5M\n • 5 pts for a known concentrated 13F initiation/add (Berkshire, Pershing\n Square, Appaloosa, Greenlight, Scion, Polen, Pabrai, Tepper, etc.)\n • +3 pts if it's in the manager's top-3 positions\n • 2 pts for politician STOCK Act recent buy\n • +1 pt if multiple unrelated members bought within 30 days\n • Penalty: −10 pts if material insider SELLING > BUYING in dollars\n\nB. OPTIONS FLOW / UOA (max 10) — from scoring_inputs.options_flow\n • 4 pts: whale_call_blocks_otm ≥ 2 with flow_directional_bias = bullish\n and flow_strength ∈ {moderate, strong}\n • 3 pts: bullish IV skew (call IV > put IV) consistent with thesis\n • 2 pts: net_dollar_bias_pct > 30 (sustained call-side flow)\n • 1 pt: large OI building at a defended price level\n • Penalty: −5 pts if whale_put_blocks_otm ≥ 2 and bias is bearish\n without a hedging explanation\n\nC. CATALYST (max 25) — from scoring_inputs.catalyst\n • 10 pts: earnings within 90 days AND last 4 quarters' EPS surprise > 0%\n • 8 pts: pending product launch / FDA / contract milestone in horizon\n • 5 pts: recent guidance raise (last 90 days)\n • 5 pts: quantifiable sector tailwind (named hyperscaler capex flowing\n to this name in $)\n Cap at 25 even if components add to more.\n\nD. MISPRICING (max 15) — from scoring_inputs.mispricing\n • 5 pts: forward P/E ≥ 20% below sector median (with non-deteriorating\n earnings)\n • 4 pts: EV/EBITDA ≥ 30% below sector median\n • 4 pts: FCF yield ≥ 7% with stable FCF\n • 5 pts: SOTP gap ≥ 25% (replaces one of the above)\n Cap at 15.\n\nE. QUALITY (max 15) — from scoring_inputs.quality\n • 5 pts: ROIC ≥ 15% (or trending there)\n • 5 pts: gross margin expanding ≥ 3pp YoY\n • 5 pts: net debt / EBITDA ≤ 2x (or net cash)\n\nF. MOMENTUM/TECHNICAL (max 10) — from scoring_inputs.technical\n • 3 pts: above both 50DMA and 200DMA\n • 4 pts: 12-1 month price return positive AND beating sector\n • 2 pts: RSI 14 in 40-65 zone\n • 1 pt: MACD bullish cross in last 30 days\n\nRISK CLASS — choose one based on the dossier's market_cap field:\n \"core\" — market_cap > $5B. Standard methodology sizing.\n \"asymmetric\" — market_cap ≤ $5B (small-cap moonshot). 90%+ of these\n bets lose money or go to zero; the few that work pay\n for the rest. Position sizing is far more conservative\n to fit the variance.\n\nTHRESHOLDS — depend on risk_class\n\n CORE risk_class:\n ≥ 80 Publish, confidence 5, position size cap 4-5%\n 70-79 Publish, confidence 4, position size cap 2.5-3.0%\n 60-69 Publish, confidence 3, position size cap 1.5-2.0%\n 50-59 Skip unless catalyst <30d + insider cluster\n < 50 Skip\n\n ASYMMETRIC risk_class — strict sizing:\n ≥ 80 Publish, confidence 5, position size cap 1.5%\n 70-79 Publish, confidence 4, position size cap 1.0%\n 60-69 Publish, confidence 3, position size cap 0.5%\n < 60 Skip (no exception; small caps need a clear catalyst)\n Structure must be long_stock (options structures are wrong shape for\n moonshots; Compliance enforces this in code).\n\nANTI-SIGNAL GATES (any one of these forces skip regardless of score):\n • Going-concern audit qualification\n • Pending material litigation (DOJ/SEC enforcement, class action with merit)\n • Customer concentration > 30%\n • Convertible/warrant overhang creating dilution > 10% of float\n • Accounting irregularities (restatements, auditor changes)\n • Avg daily volume < $5M (liquidity gate)\n • Pump-and-dump signals (sudden volume + chat-room mentions)\n\nIf scoring_inputs has anti_signals_present non-empty, treat each entry as a\ngate; skip unless you can articulate WHY it doesn't apply to this case.\n\nEDGE CHECK (philosophical, not numeric)\n\nAfter scoring, ask: \"What does this idea say that the market doesn't already\nknow?\" If the answer is generic (it's cheap, AI is a tailwind, technicals\nlook great), the score is misleading — skip even if numerical score is 65.\nReal edge means a specific data point or interpretation the market missed.\n\nSCOUT VERDICT → STRUCTURE GUIDANCE\n\nRead scoring_inputs and Scout's verdict together. The verdict tells you\nWHICH structures Scout thinks are in scope for this name:\n\n verdict='promising' → long_stock | csp (for asymmetric long)\n verdict='range_bound_or_income' → cc | strangle | csp on pullback\n (DON'T default to long_stock — Scout\n already said this isn't an asymmetric\n long. Look at IV elevated → strangle;\n stock at 52w high, fundamentals healthy\n → cc against implicit long; pullback\n thesis with cash → csp)\n verdict='bearish_setup' → naked_call (rarely; respect ceiling)\n\nIf Scout supplied structure_hints[], they're a starting point. You can\noverride with reasoning, but if you go OUTSIDE the verdict's natural set,\nexplain why in thesis_long.\n\nSTRUCTURE SELECTION — full menu:\n\n long_stock — multi-quarter asymmetric thesis, IV not elevated, want\n full upside participation\n csp — bullish, want to own at strike, IV elevated, ann yield ≥15%\n cc — range-bound or mildly bullish, IV elevated, on top of long\n stock leg, if-called return ≥15% ann\n strangle — RANGE-BOUND thesis with elevated IV. Sell OTM call + OTM\n put. Need: comfortable owning at put_strike, no parabolic\n upside expectation. Ann yield ≥12%. Compute and emit\n breakeven_high (call_strike + total_premium) and\n breakeven_low (put_strike - total_premium).\n naked_put — same setup as CSP but using margin. ~2x yield, margin call\n risk. Only for margin-equipped accounts. Note explicitly.\n naked_call — bearish setup with elevated IV. UNCAPPED loss if rally.\n Confidence ceiling 4 (Compliance enforces). Requires\n explicit upside-shock thesis + defense plan in conditions.\n\nMatch the structure to the thesis shape — don't reach for naked options\njust because the premium is fatter. Most candidates are best as long_stock\nor CSP. Strangles only when you have a clear range thesis backed by IV\nand fundamentals.\n\nIF YOU SKIP — output exactly:\n {\n \"skip\": true,\n \"score\": <0-100 composite>,\n \"score_breakdown\": {\n \"smart_money\": <0-25>, \"options_flow\": <0-10>, \"catalyst\": <0-25>,\n \"mispricing\": <0-15>, \"quality\": <0-15>, \"technical\": <0-10>\n },\n \"reason\": \"1-2 sentences why this dossier doesn't support a thesis.\"\n }\n\nIF YOU PROCEED — output a draft idea matching this schema (this is the same\nschema the published site renders from):\n\n{\n \"skip\": false,\n \"score\": <0-100 composite>,\n \"score_breakdown\": {\n \"smart_money\": <0-25>, \"options_flow\": <0-10>, \"catalyst\": <0-25>,\n \"mispricing\": <0-15>, \"quality\": <0-15>, \"technical\": <0-10>\n },\n \"draft\": {\n \"slug\": \"YYYY-MM-DD-symbol-keyphrase\",\n \"symbol\": \"TICKER\",\n \"company\": \"Full name\",\n \"sector\": \"semis-ai-infra\" | \"small-cap-asymmetric\",\n \"risk_class\": \"core\" | \"asymmetric\",\n \"headline\": \"Punchy 1-line — the news angle on the thesis\",\n \"thesis_short\": \"1 sentence — why this trade exists.\",\n \"thesis_long\": [\n \"Opening paragraph framing the setup.\",\n \"## Catalyst\",\n \"Detailed catalyst narrative.\",\n \"## Why the market is mispricing this\",\n \"Edge explanation, citing dossier facts.\",\n \"## Numbers\",\n \"- Bullet 1 with concrete numbers from the dossier\",\n \"- Bullet 2\",\n \"## Risk\",\n \"Honest description of what could go wrong.\"\n ],\n \"structure\": {\n \"type\": \"long_stock\" | \"csp\" | \"cc\" | \"strangle\" | \"naked_put\" | \"naked_call\",\n \"long_stock\": { \"entry_zone_low\": , \"entry_zone_high\": , \"shares_per_unit\": 100 },\n \"csp\": { \"strike\": , \"expiry\": \"YYYY-MM-DD\", \"premium_target\": , \"annualized_yield_pct\": , \"if_assigned_basis\": },\n \"cc\": { \"underlying_basis\": , \"strike\": , \"expiry\": \"YYYY-MM-DD\", \"premium_target\": , \"if_called_return_pct\": },\n \"strangle\": { \"call_strike\": , \"put_strike\": , \"expiry\": \"YYYY-MM-DD\", \"call_premium_target\": , \"put_premium_target\": , \"total_premium_target\": , \"breakeven_high\": , \"breakeven_low\": , \"annualized_yield_pct\": , \"max_loss_note\": \"...\" },\n \"naked_put\": { \"strike\": , \"expiry\": \"YYYY-MM-DD\", \"premium_target\": , \"annualized_yield_pct\": , \"max_loss_per_contract\": , \"margin_estimate_per_contract\": , \"warning\": \"...\" },\n \"naked_call\": { \"strike\": , \"expiry\": \"YYYY-MM-DD\", \"premium_target\": , \"annualized_yield_pct\": , \"max_loss\": \"UNLIMITED\", \"warning\": \"...\" }\n },\n \"entry\": {\n \"price_at_idea\": ,\n \"conditions\": \"How/when to enter — e.g., 'Open starter on pullback to MA50.'\"\n },\n \"exit\": {\n \"target_price\": ,\n \"time_horizon_months\": ,\n \"stop_conditions\": \"Specific signal(s) that trigger a close.\"\n },\n \"risk\": {\n \"bear_case\": \"Honest, specific bear case (not generic 'market could fall').\",\n \"what_breaks_thesis\": \"Specific event/data that invalidates the call.\",\n \"position_size_pct\": <0.5 to 5.0, conviction-weighted>\n },\n \"sources\": [\n { \"label\": \"...\", \"url\": \"...\" }\n ],\n \"confidence\": <1-5, conservative>,\n \"analyst\": \"research-desk\",\n \"scout_model\": \"minimax/minimax-m2.7\",\n \"analyst_model\": \"qwen/qwen3.6-35b-a3b\",\n \"devils_advocate_verdict\": null\n }\n}\n\nONLY ONE STRUCTURE TYPE. Pick long_stock, csp, OR cc and only fill that\nsub-object. Leave the others null/omitted.\n\nALL NUMBERS must be drawn from the dossier or computable from it. Do not\ninvent prices, strikes, premiums.\n\nOUTPUT ONLY VALID JSON. No surrounding prose, no markdown fences.", "user_prompt": "Here is the dossier from Scout. Decide: skip or draft.\n\n\nLESSONS LEARNED: none yet.\n\nDOSSIER:\n{\n \"symbol\": \"AMAT\",\n \"company\": \"Applied Materials, Inc.\",\n \"investigation_summary\": \"AMAT is a high-quality $346B semiconductor equipment leader with strong fundamentals driven by AI infrastructure capex. The stock is near its 52-week high ($436.61 vs $448.45 peak) and trades at a premium forward P/E of 30.2x — in line with peers but offering little margin-of-safety. Q2 FY2026 earnings report tomorrow (May 14 after-market) with a confirmed beat track record. The EPIC Center partnership announced May 11, 2026 with TSMC, ASU, Stanford and Rensselaer is a genuine strategic development ($5B U.S. R&D hub for next-gen AI chip materials/equipment). No insider open-market buys in 90d — all recent Form 4s are employee RSU vests or board equity grants (non-cash, non-signal). Options flow shows strong call-side bias with ~87% net dollar bullishness on the Jun-18 expiry. Given near-52w-high pricing and elevated IV ahead of earnings, this is not a mispriced setup — it is a fully-valued quality name at an inflection point where covered-call or structured-income strategies make sense.\",\n \"verdict\": \"range_bound_or_income\",\n \"confidence_in_data\": 4,\n \"structure_hints\": [\n \"cc\",\n \"strangle\",\n \"csp\"\n ],\n \"business_snapshot\": \"Applied Materials ($346B market cap) is the world's largest semiconductor capital equipment company by revenue, providing deposition, etch, CMP, metrology and ion implantation systems used in chip fabs globally. Two segments: Semiconductor Systems (~73% of revenue — the core AI infrastructure play) and Applied Global Services (~27% — high-margin recurring spares/upgrades). Q1 FY2026 (ended Jan 25, 2026) showed $7.01B revenue and $2.54 GAAP EPS, with operating income of $1.83B on strong DRAM/logic spending. Note a $253M legal settlement charge in the quarter and a $12M restructuring charge under the Fiscal 2025 Restructuring Plan. The company generates ~$4.3B annual FCF and holds net cash ($8.5B cash vs $7.2B debt). Geographic exposure is heavily Asia Pacific (China ~30%, Korea ~15%, Taiwan ~13%), creating export-control risk. On May 11, AMAT announced the EPIC Center partnership with TSMC, Arizona State University, Stanford and Rensselaer — a $5B Silicon Valley semiconductor equipment R&D hub designed to accelerate energy-efficient AI chip materials engineering.\",\n \"scoring_inputs\": {\n \"smart_money\": {\n \"insider_open_market_purchases_90d\": [],\n \"insider_open_market_total_usd_90d\": 0,\n \"distinct_insider_buyers_90d\": 0,\n \"ceo_buy_present\": false,\n \"cfo_buy_present\": false,\n \"material_insider_selling_90d_usd\": 0,\n \"notable_13f_holders\": [\n \"pending — v2\"\n ],\n \"politician_recent_buys\": [\n \"pending — v2\"\n ]\n },\n \"catalyst\": {\n \"next_earnings_date\": \"2026-05-14\",\n \"recent_eps_surprise_pattern\": \"4 consecutive positive beats: Q1 FY26 +7.9%, Q4 FY25 +3.6%, Q3 FY25 +5.1%, Q2 FY25 +3.4%. Consistent small beats.\",\n \"guidance_raise_in_last_90d\": true,\n \"named_catalysts\": [\n {\n \"type\": \"earnings\",\n \"description\": \"Q2 FY2026 earnings report — consensus $2.68 EPS on ~$7.69B revenue vs year-ago $2.39/$7.1B. 4 consecutive positive beats.\",\n \"date_or_window\": \"2026-05-14 after-market close\",\n \"source_urls\": [\n \"https://finance.yahoo.com/news/earn-500-month-applied-materials-114218027.html\"\n ],\n \"directional_bias\": \"bullish\"\n },\n {\n \"type\": \"product\",\n \"description\": \"EPIC Center R&D alliance with TSMC, ASU, Stanford and Rensselaer Polytechnic — $5B Silicon Valley hub for next-gen AI chip materials engineering. Positions AMAT as central node in U.S. semiconductor supply chain.\",\n \"date_or_window\": \"Announced 2026-05-11; ongoing\",\n \"source_urls\": [\n \"https://finance.yahoo.com/news/epic-ai-chip-r-d-212343971.html\"\n ],\n \"directional_bias\": \"bullish\"\n },\n {\n \"type\": \"sector\",\n \"description\": \"AI infrastructure spending wave driving DRAM (HBM for AI accelerators), foundry and logic demand — all key end markets for AMAT equipment.\",\n \"date_or_window\": \"Multi-quarter secular trend through 2026-2027\",\n \"source_urls\": [\n \"https://finance.yahoo.com/news/amats-q2-results-benefit-traction-155300304.html\"\n ],\n \"directional_bias\": \"bullish\"\n }\n ]\n },\n \"mispricing\": {\n \"forward_pe\": 30.2,\n \"sector_median_forward_pe\": 37.3,\n \"ev_to_ebitda\": 38.8,\n \"sector_median_ev_to_ebitda\": 46.9,\n \"fcf_yield_pct\": 1.25,\n \"sotp_gap_pct\": null,\n \"narrative\": \"AMAT trades at 30x forward earnings — above its own historical average and in line with or slightly below peer group medians (LRCX 37.3x, KLAC 37.2x). The premium valuation is justified by AI capex tailwinds but leaves little room for error. At only 2.6% from the 52-week high, there is no meaningful discount to intrinsic value.\"\n },\n \"quality\": {\n \"roic_pct\": 38.9,\n \"gross_margin_trend_pp_yoy\": -1,\n \"net_debt_to_ebitda\": -0.8,\n \"balance_sheet_grade\": \"A\"\n },\n \"technical\": {\n \"above_50dma\": true,\n \"above_200dma\": null,\n \"rsi_14\": 62.5,\n \"macd_recent_bullish_cross\": true,\n \"12_1_momentum_vs_sector_pct\": null\n }\n },\n \"price_context\": {\n \"last_close\": 436.61,\n \"ytd_return_pct\": 175.92,\n \"from_52w_high_pct\": -2.64\n },\n \"filings_reviewed\": [\n {\n \"form\": \"10-K\",\n \"filed\": \"2025-12-12\",\n \"url\": \"https://www.sec.gov/Archives/edgar/data/6951/000162828025056742/amat-20251026.htm\",\n \"key_takeaways\": [\n \"FY2025 revenue ~$27.1B, net income $7.8B — massive profitability in AI infrastructure buildout. Semiconductor Systems segment drives bulk of revenue. Two named customers (Customer One and Customer Two) each represent >10% concentration risk. Geographic concentration in China (~30%) is a regulatory vulnerability given BIS export control case ongoing. Cash and investments of ~$13.5B vs $6.9B total debt — fortress balance sheet.\"\n ]\n },\n {\n \"form\": \"10-Q\",\n \"filed\": \"2026-02-19\",\n \"url\": \"https://www.sec.gov/Archives/edgar/data/6951/000162828026009694/amat-20260125.htm\",\n \"key_takeaways\": [\n \"Q1 FY2026: $7.01B revenue (-2% YoY), $2.54 GAAP EPS (+75% YoY on lower tax rate). Gross margin 48.97%. Operating income $1.83B with R&D at $928M (13% of revenue — high investment). Notable: $253M legal settlement charge and $12M restructuring under Fiscal2025RestructuringPlan. Interest and other income +$566M includes investment gains ($466M gain/impairment line). Strong operating cash flow of $1.69B in quarter.\"\n ]\n },\n {\n \"form\": \"8-K\",\n \"filed\": \"Not examined — no 8-Ks fetched separately due to time budget.\",\n \"url\": null,\n \"key_takeaways\": [\n \"Would need to check for material events beyond earnings releases, specifically the EPIC Center announcement and any BIS regulatory developments.\"\n ]\n }\n ],\n \"options_context\": {\n \"expiries_examined\": [\n \"2026-05-15\",\n \"2026-06-18\"\n ],\n \"iv_summary\": \"May 15 (1 DTE) near-the-money ATM IV ~7.8%, OTM calls (440+) at 3.1% IV, puts in the 430-435 range elevated due to earnings vol premium. June 18 shows broader IV with call-side whale blocks at strikes 75/100/160 — these are far OTM and appear as likely hedges or speculative rather than directional conviction. ATM near-month calls (~440 strike) show V/OI data unavailable (open interest = 0 for all new positions), consistent with rolling/front-month positioning ahead of earnings.\",\n \"notable_skew_or_flow\": \"Strong call-side bias: aggregate net dollar bias 87.3% bullish ($16.4M net call notional vs $1.2M put). The whale blocks at strikes 75, 100 and 160 on June 18 are extremely far OTM (AMAT would need to fall >70%+ for them to be in the money), suggesting they may be part of a spread or hedge rather than pure directional bets.\"\n },\n \"competitive_landscape\": \"AMAT competes primarily with Lam Research (LRCX) and Tokyo Electron (TEL) in deposition/etch. In metrology it faces KLA (KLAC). AMAT's competitive moat lies in its materials engineering breadth — no other single company covers the full stack from deposition through etch to CMP and metrology. The EPIC Center creates a structural advantage by giving TSMC, Intel, Samsung and other fabs early access to next-gen process development, locking customers into co-development relationships. LRCX trades at 37.3x fwd P/E (vs AMAT's 30.2x), suggesting relative valuation is not stretched vs peers.\",\n \"key_risks\": [\n \"Export control / China concentration: ~30% of revenue from China; BIS export restriction case ongoing in Q1 FY2026 filings — could materially impair China business\",\n \"Customer concentration: Two unnamed customers each represent >10% of revenue — any one losing a major customer would be significant\",\n \"Valuation at 52w high: Limited upside runway without new positive catalyst beyond earnings beat\",\n \"Secular memory cycle risk: DRAM/HBM demand driving current results could moderate if AI infrastructure spending plateaus\",\n \"Interest rate sensitivity: Higher-for-longer rates compress tech multiples; AMAT's 30x P/E is not insulated from rate repricing\"\n ],\n \"what_the_market_might_be_missing\": \"The EPIC Center partnership (May 2026) may be underappreciated as a moat-deepening event. By housing TSMC, ASU, Stanford and Rensselaer engineers in its Silicon Valley facility for multi-year co-development on materials/equipment/process for next-gen AI chips, AMAT creates switching costs at the earliest stage of chip design — fabs that develop their processes on AMAT equipment won't easily migrate to competitors. The $5B investment also signals management's long-term commitment and creates a defensible recruiting/training pipeline.\",\n \"anti_signals_present\": [\n \"concentration\",\n \"dilution\"\n ],\n \"sources\": [\n {\n \"label\": \"AMAT 10-K FY2025\",\n \"url\": \"https://www.sec.gov/Archives/edgar/data/6951/000162828025056742/amat-20251026.htm\"\n },\n {\n \"label\": \"AMAT Q1 FQ1 10-Q\",\n \"url\": \"https://www.sec.gov/Archives/edgar/data/6951/000162828026009694/amat-20260125.htm\"\n },\n {\n \"label\": \"EPIC Center Announcement\",\n \"url\": \"https://finance.yahoo.com/news/epic-ai-chip-r-d-212343971.html\"\n },\n {\n \"label\": \"AMAT Q2 Earnings Preview — Investopedia\",\n \"url\": \"https://www.investopedia.com/here-is-how-much-traders-expect-applied-materials-stock-to-move-after-earnings-amat-q2-fy2026-11972708\"\n },\n {\n \"label\": \"Citi AMAT Price Target Upgrade\",\n \"url\": \"https://www.thestreet.com/investing/stocks/citi-massively-revamps-applied-materials-stock-price-target\"\n }\n ],\n \"unfetched_signals\": [\n \"13f_deltas\",\n \"politician_trades\",\n \"sentiment_score\"\n ]\n}\n\nOutput ONLY the decision JSON described in the system prompt. Do NOT\ninclude ... reasoning blocks — they eat the output token\nbudget and produce truncated, unparseable decisions.", "completions": [ { "ts": "2026-05-14T07:20:38.436Z", "raw_content": "The user wants me to score the dossier for AMAT (Applied Materials) and decide whether to skip or draft a trade idea.\nI need to follow the scoring rubric carefully.\n\nLet's go through each category:\n\nA. SMART-MONEY CLUSTER (max 25)\n- insider_open_market_purchases_90d: [] -> 0 pts\n- distinct_insider_buyers_90d: 0 -> 0 pts\n- CEO/CFO buy: false -> 0 pts\n- total purchases > $5M: 0 -> 0 pts\n- notable_13f_holders: \"pending — v2\" -> 0 pts\n- politician_recent_buys: \"pending — v2\" -> 0 pts\n- material_insider_selling_90d_usd: 0 -> 0 pts\nScore A: 0\n\nB. OPTIONS FLOW / UOA (max 10)\n- whale_call_blocks_otm: \"far OTM and appear as likely hedges or speculative rather than directional conviction.\" -> Not ≥ 2 with bullish bias and moderate/strong strength. 0 pts.\n- bullish IV skew: Not explicitly stated as bullish IV skew consistent with thesis. 0 pts.\n- net_dollar_bias_pct: 87.3% bullish -> > 30% -> 2 pts.\n- large OI building: OI unavailable for new positions. 0 pts.\nScore B: 2\n\nC. CATALYST (max 25)\n- earnings within 90 days: Yes, May 14. Last 4 quarters' EPS surprise > 0%: Yes (4 consecutive positive beats). -> 10 pts.\n- pending product launch / FDA / contract: EPIC Center partnership -> 8 pts.\n- recent guidance raise: true in last 90d -> 5 pts.\n- quantifiable sector tailwind: AI infrastructure spending wave -> 5 pts.\nTotal: 28, capped at 25.\nScore C: 25\n\nD. MISPRICING (max 15)\n- forward P/E ≥ 20% below sector median: Fwd P/E 30.2 vs sector 37.3. (37.3-30.2)/37.3 = 19%. Not quite 20%. But close. I'll give 0 or 5? The rubric says \"≥ 20% below\". It's 19% below. I'll give 0 for strictness, or maybe 5 if I round. Let's stick to strict: 0.\n- EV/EBITDA ≥ 30% below: 38.8 vs 46.9. (46.9-38.8)/46.9 = 17.3%. Not 30%. 0 pts.\n- FCF yield ≥ 7%: 1.25%. 0 pts.\n- SOTP gap ≥ 25%: null. 0 pts.\nScore D: 0\n\nE. QUALITY (max 15)\n- ROIC ≥ 15%: 38.9% -> 5 pts.\n- gross margin expanding ≥ 3pp YoY: -1 pp. 0 pts.\n- net debt / EBITDA ≤ 2x: -0.8 (net cash) -> 5 pts.\nScore E: 10\n\nF. MOMENTUM/TECHNICAL (max 10)\n- above both 50DMA and 200DMA: above_50dma: true, above_200dma: null. Assume true or 0? I'll give 0 for 200DMA since it's null, or 3 pts if I assume it's true. Let's give 3 pts for 50DMA only, or 0 for both. I'll give 3.\n- 12-1 month price return positive AND beating sector: null. 0 pts.\n- RSI 14 in 40-65 zone: 62.5 -> 2 pts.\n- MACD bullish cross in last 30 days: true -> 1 pt.\nScore F: 6\n\nTotal Score: 0 + 2 + 25 + 0 + 10 + 6 = 43.\n\nWait, let's double check A. Smart money is 0.\nD. Mispricing is 0.\nCatalyst is 25.\nQuality is 10.\nTechnical is 6.\nOptions flow is 2.\nTotal = 43.\n\nRisk Class: market_cap is $346B -> \"core\".\nThresholds for Core: < 50 Skip.\nAnti-signal gates: \"concentration\", \"dilution\". The dossier says \"Two named customers each represent >10% of revenue\" and \"dilution\" is listed in anti_signals_present. The rubric says: \"Customer concentration > 30%\". It says >30%. The dossier says >10% each. So maybe not a hard gate, but still a risk. Also \"dilution\" is listed. I will note the low score and skip.\n\nLet's verify scoring carefully.\nA: 0\nB: 2 (net_dollar_bias_pct > 30)\nC: 25 (capped)\nD: 0\nE: 10\nF: 6\nTotal: 43.\n\nSince score < 50, it's a skip.\nReason: Low score due to zero smart-money cluster and no meaningful mispricing at a 30x forward P/E near 52-week highs. While catalysts (earnings, EPIC Center) and quality are strong, the setup lacks the asymmetric edge or valuation discount required for publication, and elevated IV near earnings makes options structures less attractive without a clear range or income thesis that justifies the premium.\n\nWait, should I check the structure guidance? Scout says verdict='range_bound_or_income', hints=['cc', 'strangle', 'csp']. But score is 43. Thresholds say <50 Skip. So I will skip.\n\nLet's construct the JSON output exactly as requested for skip.\n{\n \"skip\": true,\n \"score\": 43,\n \"score_breakdown\": {\n \"smart_money\": 0,\n \"options_flow\": 2,\n \"catalyst\": 25,\n \"mispricing\": 0,\n \"quality\": 10,\n \"technical\": 6\n },\n \"reason\": \"Score falls below the 50-point threshold due to zero smart-money conviction and a lack of valuation discount (30x Fwd P/E near 52-week highs). Despite strong catalysts and quality, the setup lacks the asymmetric edge or mispricing required for publication, and elevated earnings IV makes income structures unattractive without a clear range thesis.\"\n}\n\nCheck thresholds: Core < 50 Skip. Correct.\nCheck anti-signals: concentration, dilution. I'll mention concentration risk in reason if needed, but score is already low.\nCheck rubric caps: C capped at 25. Correct.\nCheck numbers: All from dossier.\nOutput matches schema.\nReady. \nOne minor thing: F score. above_50dma: true (3 pts). above_200dma: null. I'll give 3. RSI 62.5 (2 pts). MACD bullish cross (1 pt). Total 6. Correct.\nD score: Fwd P/E 30.2 vs 37.3 is ~19% below, not ≥20%. EV/EBITDA 38.8 vs 46.9 is ~17% below. FCF 1.25%. SOTP null. So 0. Correct.\nB score: net_dollar_bias_pct 87.3% > 30 -> 2 pts. Correct.\nA score: 0. Correct.\nE score: ROIC 38.9 (5), GM trend -1 (0), Net debt -0.8 (5) -> 10. Correct.\nTotal 43.\n\nProceeds to output. \nAll constraints met. Output only JSON.\nI will generate the JSON now. \nSelf-Correction/Refinement during thought: \nShould I give D any points? The rubric says \"≥ 20% below\". 19% is close but strictly 0. I'll stick to 0.\nShould I give F any points for 200DMA? It's null, so 0.\nTotal is solidly 43.\nSkip is appropriate.\nOutput matches exactly.\nDone. \nProceeds. \n[Output Generation] -> JSON string. \nNo extra text.\nChecking format: \n{\n \"skip\": true,\n \"score\": 43,\n \"score_breakdown\": { ... },\n \"reason\": \"...\"\n}\nMatches exactly.\nDone. \nOutput matches request. \nProceeds. \n[Final Check of the Prompt]\n\"OUTPUT ONLY VALID JSON. No surrounding prose, no markdown fences.\"\nI will ensure no markdown fences. Just raw JSON.\nAll good. \nProceeds. \n[Output Generation] (simulated)\n{\n \"skip\": true,\n \"score\": 43,\n \"score_breakdown\": {\n \"smart_money\": 0,\n \"options_flow\": 2,\n \"catalyst\": 25,\n \"mispricing\": 0,\n \"quality\": 10,\n \"technical\": 6\n },\n \"reason\": \"Score falls well below the 50-point threshold due to zero smart-money conviction and a lack of valuation discount (30x Fwd P/E near 52-week highs). Despite strong catalysts and quality, the setup lacks the asymmetric edge or mispricing required for publication, and elevated earnings IV makes income structures unattractive without a clear range thesis.\"\n}\nMatches perfectly. Outputting. \n(Self-Correction/Note during generation prep: I will make sure the JSON is perfectly formatted and contains exactly the requested keys.)\nAll good. \nProceeds. \n[Output] -> *raw JSON*\n(Note: I will remove markdown code blocks as instructed: \"no markdown fences\")\nDone. \n[Output Generation]\n{\n \"skip\": true,\n \"score\": 43,\n \"score_breakdown\": {\n \"smart_money\": 0,\n \"options_flow\": 2,\n \"catalyst\": 25,\n \"mispricing\": 0,\n \"quality\": 10,\n \"technical\": 6\n },\n \"reason\": \"Score falls well below the 50-point threshold due to zero smart-money conviction and a lack of valuation discount (30x Fwd P/E near 52-week highs). Despite strong catalysts and quality, the setup lacks the asymmetric edge or mispricing required for publication, and elevated earnings IV makes income structures unattractive without a clear range thesis.\"\n}\nDone. \nProceeds. \n[Final Check]\nAll constraints met. Score breakdown matches rubric logic. Reason aligns with threshold. Format is pure JSON. Ready. \nOutput matches response. \n[Done]\n\n\n{\n \"skip\": true,\n \"score\": 43,\n \"score_breakdown\": {\n \"smart_money\": 0,\n \"options_flow\": 2,\n \"catalyst\": 25,\n \"mispricing\": 0,\n \"quality\": 10,\n \"technical\": 6\n },\n \"reason\": \"Score falls well below the 50-point threshold due to zero smart-money conviction and a lack of valuation discount (30x Fwd P/E near 52-week highs). Despite strong catalysts and quality, the setup lacks the asymmetric edge or mispricing required for publication, and elevated earnings IV makes income structures unattractive without a clear range thesis.\"\n}", "cleaned_content": "{\n \"skip\": true,\n \"score\": 43,\n \"score_breakdown\": {\n \"smart_money\": 0,\n \"options_flow\": 2,\n \"catalyst\": 25,\n \"mispricing\": 0,\n \"quality\": 10,\n \"technical\": 6\n },\n \"reason\": \"Score falls well below the 50-point threshold due to zero smart-money conviction and a lack of valuation discount (30x Fwd P/E near 52-week highs). Despite strong catalysts and quality, the setup lacks the asymmetric edge or mispricing required for publication, and elevated earnings IV makes income structures unattractive without a clear range thesis.\"\n}", "tool_calls": null, "finish_reason": "stop" } ], "tool_results": [], "final_message": "{\n \"skip\": true,\n \"score\": 43,\n \"score_breakdown\": {\n \"smart_money\": 0,\n \"options_flow\": 2,\n \"catalyst\": 25,\n \"mispricing\": 0,\n \"quality\": 10,\n \"technical\": 6\n },\n \"reason\": \"Score falls well below the 50-point threshold due to zero smart-money conviction and a lack of valuation discount (30x Fwd P/E near 52-week highs). Despite strong catalysts and quality, the setup lacks the asymmetric edge or mispricing required for publication, and elevated earnings IV makes income structures unattractive without a clear range thesis.\"\n}", "tool_calls_total": 0, "walltime_ms": 66182, "stop_reason": "stop", "completed_at": "2026-05-14T07:20:38.437Z" }