{
  "model": "qwen/qwen3.6-35b-a3b",
  "started_at": "2026-06-12T04:11:41.382Z",
  "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 a\nhigh-conviction idea, draft a clearly labeled paper-tracked research idea,\nor skip.\n\nOPTION B (skip) IS THE EXPECTED DEFAULT. The pipeline publishes normal\nrecommendation-grade ideas rarely and only when something clears a high bar.\nMost dossiers should return\n{ \"skip\": true, \"reason\": \"...\", \"score\": <num> }. Mediocre publishes burn\nDevil's Advocate budget and create credibility risk on the public site.\nPaper-tracked ideas are a separate measurement lane: they are zero-position,\nlow-confidence research setups used to learn whether the model's medium-grade\nsignals work over time. They must never read like a buy/sell recommendation.\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   45-59   Paper-track if no hard anti-signal and the thesis is specific,\n           measurable, and falsifiable; otherwise skip\n   < 45    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   45-59   Paper-track only if there is a concrete dated catalyst or\n           measurable event path; otherwise skip\n   < 45    Skip\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\nPAPER-TRACKING LANE (educational measurement, not advice)\n\nUse this lane for score 45-59 dossiers that are not strong enough for a\nnormal publication but are specific enough to evaluate later. Requirements:\n   • draft.paper_track MUST be true\n   • headline MUST begin with \"Paper Track:\"\n   • thesis_short MUST explicitly say this is a paper-tracked research setup,\n     not an actionable recommendation\n   • risk.position_size_pct MUST be 0\n   • confidence MUST be 1 or 2 (2 only when score ≥55)\n   • exit.time_horizon_months MUST be present so Monitor can close it\n   • use long_stock unless the dossier gives complete, current option\n     contract data for the chosen income structure\n\nDo not paper-track dossiers with methodology anti-signals, stale numbers,\nmissing sources, unverified catalyst dates, or generic \"cheap/AI/tailwind\"\nstories. Skip those.\n\nUPSIDE TARGET\n\nThe desk is looking for setups with a plausible 20%+ return target. For\nlong_stock, exit.target_price should be at least 20% above entry.price_at_idea\nunless the idea is explicitly a paper-tracked post-event study. If the\nsource-backed upside is less than 20%, skip rather than publishing a low-upside\nidea.\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    \"paper_track\": false,\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\": <num>, \"entry_zone_high\": <num>, \"shares_per_unit\": 100 },\n      \"csp\":          { \"strike\": <num>, \"expiry\": \"YYYY-MM-DD\", \"premium_target\": <num>, \"annualized_yield_pct\": <num>, \"if_assigned_basis\": <num> },\n      \"cc\":           { \"underlying_basis\": <num>, \"strike\": <num>, \"expiry\": \"YYYY-MM-DD\", \"premium_target\": <num>, \"if_called_return_pct\": <num> },\n      \"strangle\":     { \"call_strike\": <num>, \"put_strike\": <num>, \"expiry\": \"YYYY-MM-DD\", \"call_premium_target\": <num>, \"put_premium_target\": <num>, \"total_premium_target\": <num>, \"breakeven_high\": <num>, \"breakeven_low\": <num>, \"annualized_yield_pct\": <num>, \"max_loss_note\": \"...\" },\n      \"naked_put\":    { \"strike\": <num>, \"expiry\": \"YYYY-MM-DD\", \"premium_target\": <num>, \"annualized_yield_pct\": <num>, \"max_loss_per_contract\": <num>, \"margin_estimate_per_contract\": <num>, \"warning\": \"...\" },\n      \"naked_call\":   { \"strike\": <num>, \"expiry\": \"YYYY-MM-DD\", \"premium_target\": <num>, \"annualized_yield_pct\": <num>, \"max_loss\": \"UNLIMITED\", \"warning\": \"...\" }\n    },\n    \"entry\": {\n      \"price_at_idea\": <last_close from dossier>,\n      \"conditions\": \"How/when to enter — e.g., 'Open starter on pullback to MA50.'\"\n    },\n    \"exit\": {\n      \"target_price\": <num or null for options structures>,\n      \"time_horizon_months\": <int 3-12>,\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\": <0.0 for paper_track, otherwise 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": "CURRENT DATE: 2026-06-12. THE YEAR IS 2026.\nDATE RULES — read before writing ANY date:\n  - Every option expiry, earnings date, catalyst date, and DTE you state MUST use the year 2026 or later. Do NOT write 2025 dates — your training prior is stale.\n  - Every option expiry MUST be a real FUTURE date relative to 2026-06-12. Copy expiries verbatim from options_expiries()/the dossier — never infer a year from memory.\n  - Before writing a date, check it: if it is earlier than 2026-06-12, it is WRONG — re-read the live tool output.\n\nHere is the dossier from Scout. Decide: skip or draft.\n\n\nLESSONS LEARNED: none yet.\n\nDOSSIER:\n{\n  \"symbol\": \"AVGO\",\n  \"company\": \"Broadcom Inc.\",\n  \"investigation_summary\": \"Broadcom is a $1.83T market cap AI semiconductor and infrastructure software leader with a forward P/E of ~19.9x and EV/EBITDA of 44.7x — premium but justified by its near-monopoly position supplying custom XPUs to hyperscalers (Google TPU through 2031, Anthropic compute access). Q2 FY2026 (ended May 3) reported EPS $2.44 vs $2.40 estimate on $22.2B revenue (+48% YoY), yet stock sold off ~15% post-print, closing the gap from $495 52-week high to $385 — a ~22% drawdown in roughly three weeks. No insider open-market buys in past 90 days (only director RSU grants and CFO transition equity awards). The Google long-term TPU agreement through 2031 announced April 6 is a genuine multi-year revenue catalyst, but the near-term setup shows no mispricing at current levels with IV elevated (~51-52% ATM). Given the sharp post-earnings selloff, oversold RSI of 42.2, and above-200-DMA position (still technically in an uptrend), AVGO is best suited for a structured-income strategy rather than a directional long.\",\n  \"verdict\": \"range_bound_or_income\",\n  \"confidence_in_data\": 5,\n  \"structure_hints\": [\n    \"cc\",\n    \"strangle\",\n    \"csp\"\n  ],\n  \"business_snapshot\": \"Broadcom Inc. designs, develops and supplies semiconductor devices (custom AI accelerators/XPUs called 'Tomahawk' and 'Jericho,' Ethernet switches/NICs, RF FBAR filters) and infrastructure software (VMware Cloud Foundation, mainframe software, cybersecurity). The company operates two segments: Semiconductor Solutions (AI/custom ASICs + networking silicon for hyperscalers like Google and Anthropic; ~68% of revenue) and Infrastructure Software (~32%). Q2 FY2026 revenue was $22.2B (+48% YoY), driven by custom AI accelerators and network semiconductor demand from hyperscale AI data center buildouts. The April 6, 2026 8-K disclosed a Long-Term Agreement with Google to develop/supply custom TPUs through 2031 plus a Supply Assurance Agreement for networking components in Google's next-gen AI racks — representing tens of billions in committed revenue. A separate expanded Anthropic collaboration was also disclosed: ~3.5 gigawatts of TPU-based compute capacity beginning 2027, supported by an investor partner backstop with up to $29B exposure (June 8 subsequent event). Customer concentration is extreme: one unnamed distributor accounts for 42% of total net revenue in Q2 — effectively tied to Apple's iPhone cycle and Google/Saleforce demand. Gross margins are industry-leading at ~69-70%, reflecting the company's pricing power in custom silicon.\",\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\": null\n    },\n    \"catalyst\": {\n      \"next_earnings_date\": \"2026-09-03\",\n      \"recent_eps_surprise_pattern\": \"Q2 FY2026: EPS $2.44 actual vs $2.40 est (beat); Q1 FY2026: EPS $2.05 vs $2.02 est; consistent small beats of 1-4% historically — not blowout but reliable\",\n      \"guidance_raise_in_last_90d\": true,\n      \"named_catalysts\": [\n        {\n          \"type\": \"product\",\n          \"description\": \"Long-Term Agreement with Google to develop and supply custom TPUs through 2031 + Supply Assurance Agreement for networking components in Google's next-gen AI racks. Also expanded Anthropic collaboration: ~3.5 GW of TPU-based compute access beginning 2027.\",\n          \"date_or_window\": \"April 6, 2026 (disclosed) — contract runs through 2031\",\n          \"source_urls\": [\n            \"https://www.sec.gov/Archives/edgar/data/1730168/000119312526144028/d87999d8k.htm\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"guidance\",\n          \"description\": \"Q2 FY2026 revenue $22.2B (+48% YoY) and strong Q3 guidance implied by remaining performance obligations of ~$164.6B, with 30% expected to be recognized in next 12 months\",\n          \"date_or_window\": \"June 11, 2026 earnings release\",\n          \"source_urls\": [\n            \"https://www.sec.gov/Archives/edgar/data/1730168/000119312526266777/d152717d8k.htm\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"product\",\n          \"description\": \"Investor partner arrangement for AI rack leasing with $29B maximum backstop exposure; reduces balance sheet risk of custom accelerator deployment while locking in revenue stream\",\n          \"date_or_window\": \"June 8, 2026 (subsequent event disclosed in Q2 10-Q)\",\n          \"source_urls\": [\n            \"https://www.sec.gov/Archives/edgar/data/1730168/000173016826000054/avgo-20260503.htm\"\n          ],\n          \"directional_bias\": \"bullish\"\n        }\n      ]\n    },\n    \"mispricing\": {\n      \"forward_pe\": 19.93,\n      \"sector_median_forward_pe\": null,\n      \"ev_to_ebitda\": 44.66,\n      \"sector_median_ev_to_ebitda\": null,\n      \"fcf_yield_pct\": 1.48,\n      \"narrative\": \"Forward P/E of ~19.9x is premium but not unreasonable for a company with near-monopoly custom AI ASIC position, $164.6B in remaining performance obligations (including new Google TPU agreement through 2031), and >85% earnings growth trajectory. However, EV/EBITDA at 44.7x is extremely rich relative to semi sector norms (~15-20x). Customer concentration risk (42% from one distributor tied largely to Apple) creates downside asymmetry if iPhone cycles disappoint. No compelling FCF yield case given <1.5%. The stock dropped ~22% from $495 high and now sits at a reasonable entry for income strategies but not a compelling mispricing relative to intrinsic value.\"\n    },\n    \"quality\": {\n      \"roic_pct\": 37.3,\n      \"gross_margin_trend_pp_yoy\": null,\n      \"net_debt_to_ebitda\": 6.2,\n      \"balance_sheet_grade\": \"B+\"\n    },\n    \"technical\": {\n      \"above_50dma\": false,\n      \"above_200dma\": true,\n      \"rsi_14\": 42.2,\n      \"macd_recent_bullish_cross\": false,\n      \"12_1_momentum_vs_sector_pct\": null\n    }\n  },\n  \"price_context\": {\n    \"last_close\": 385.57,\n    \"ytd_return_pct\": 13.95,\n    \"from_52w_high_pct\": -22.1\n  },\n  \"filings_reviewed\": [\n    {\n      \"form\": \"10-K\",\n      \"filed\": \"2025-12-18\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1730168/000173016825000121/avgo-20251102.htm\",\n      \"key_takeaways\": [\n        \"FY2025 (ended Nov 2, 2025) revenue $75.5B (+48% YoY), net income $20.1B; top five end customers ~40% of revenue; gross margin 74%; key risk: customer concentration and China/Taiwan geopolitical exposure\",\n        \"Acquired VMware (Nov 22, 2023) for ~$61B and Seagate SoC business (Apr 23, 2024); significant goodwill ($97.8B) on balance sheet\",\n        \"Manufacturing heavily outsourced to TSMC; majority of front-end wafer fab at external foundries including TSMC\"\n      ]\n    },\n    {\n      \"form\": \"10-Q\",\n      \"filed\": \"2026-06-09\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1730168/000173016826000054/avgo-20260503.htm\",\n      \"key_takeaways\": [\n        \"Q2 FY2026 (ended May 3, 2026): revenue $22.2B (+48% YoY), EPS $2.44; Products revenue $16.9B driven by custom AI accelerators and upfront license revenue ($1.96B); operating income margin at ~49%\",\n        \"One unnamed distributor accounts for 42% of Q2 net revenue — effectively a proxy for Apple iPhone cycle plus other hyperscalers\",\n        \"Remaining performance obligations: ~$164.6B including new long-term contract for custom AI accelerators entered in Q2; ~30% expected to be recognized over next 12 months\",\n        \"June 8 subsequent event: investor partner arrangement for AI rack leasing with $29B maximum backstop exposure, reducing balance sheet risk of deploying custom accelerators on customer leases\",\n        \"CFO transition effective June 12: Kirsten Spears (retiring) → Amie Thuener (ex-Alphabet VP Corporate Controller); equity awards to new CFO include 50K RSUs + 50K PSUs at target\"\n      ]\n    },\n    {\n      \"form\": \"8-K\",\n      \"filed\": \"2026-04-06\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1730168/000119312526144028/d87999d8k.htm\",\n      \"key_takeaways\": [\n        \"Broadcom and Google entered Long-Term Agreement for custom TPUs through 2031 + Supply Assurance Agreement for networking components in Google's next-gen AI racks\",\n        \"Separate expanded Anthropic collaboration: ~3.5 GW of TPU-based AI compute capacity beginning 2027, with parties discussing operational/financial partners including investor backstop\"\n      ]\n    },\n    {\n      \"form\": \"8-K\",\n      \"filed\": \"2026-04-02\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1730168/000119312526140574/d109450d8k.htm\",\n      \"key_takeaways\": [\n        \"CFO transition: Kirsten Spears retires June 12, 2026; succeeded by Amie Thuener (ex-Alphabet Inc. VP Corp Controller & Chief Acctg Officer since 2018) effective same date\",\n        \"Thuener receives $1M sign-on bonus, $700K base salary, 100% target bonus + 50K RSU + 50K PSU at target with 4-year vesting/ratable TSR performance\"\n      ],\n      \"scoring_inputs_catalyst_note\": \"guidance_raise_in_last_90d=true based on Q2 earnings beat and strong forward guidance implied by $164.6B remaining performance obligations with 30% expected recognition in next 12 months\"\n    },\n    \"options_context\",\n    \":\",\n    {\n      \"expiries_examined\": [\n        \"2026-07-02\",\n        \"2026-09-18\",\n        \"2026-11-20\"\n      ],\n      \"iv_summary\": \"ATM IV at Jul-02 ~51-52%; skew slightly elevated on put side (fear premium), consistent with post-earnings uncertainty. Aug/Sep expiries likely 50-54% ATM.\",\n      \"notable_skew_or_flow\": \"Moderately bullish UOA flow: call/put dollar bias +$2.3M in favor of calls; new positioning at $370 and $380 strikes (V/OI 5.52x and 1.56x respectively) suggests upside hedging or momentum buyers. Put OI concentrated at $350-$360 ($14-15 wide), providing strong support zone.\"\n    },\n    \"competitive_landscape\",\n    \":\",\n    \"AI Custom Silicon: NVDA dominates general-purpose AI accelerators (H100\",\n    \"/H200/\",\n    \"B300); AVGO competes as a custom ASIC supplier for hyperscalers who want proprietary silicon — Google TPU is the marquee win. MRVL and INTC compete in Ethernet switching\",\n    \"/NIC markets but AVGO's Jericho/\",\n    \"Tomahawk switch franchise is de facto standard for AI fabric. Marvell (MRVL) is the closest comparable on custom ASIC thesis; AMD competes broadly in server CPU\",\n    \"/GPU. In RF/\",\n    \"Wireless: QCOM dominates mobile RF front-end but AVGO\",\n    \"s FBAR filter technology provides durable moat. Infrastructure Software: VMW is integrated into Broadcom and competes with MSFT Azure Stack\",\n    \"AMZN Outposts for private cloud workloads. Key competitive risk: hyperscalers (Google\",\n    \"Meta\",\n    \"Amazon) increasingly designing their own AI chips in-house — though AVGO\",\n    \"s custom ASIC expertise still valuable as a design partner.\\\"\",\n    \"key_risks\",\n    \":\",\n    [\n      \"Customer concentration: one distributor (effectively Apple) = 42% of Q2 revenue; iPhone cycle weakness would devastate near-term results\",\n      \"In-house silicon risk: hyperscalers designing proprietary AI chips could displace custom ASIC demand over time, though AVGO's Google TPU agreement through 2031 mitigates this for that customer\",\n      \"Extreme valuation: EV/EBITDA at 44.7x is ~2-3x semiconductor sector median; any guidance miss triggers outsized multiple compression\",\n      \"Geopolitical/Taiwan risk: majority of manufacturing outsourced to TSMC in Taiwan; escalation of China-Taiwan tensions would be catastrophic\",\n      \"Debt load: $64.9B total debt, net-debt/EBITDA ~6.2x — high leverage for a cyclical semiconductor company\",\n      \"Leverage on AI cycle: AVGO is highly correlated to hyperscaler AI infrastructure capex cycles; if hyperscalers cut AI spending (already evidenced by NVDA's China headwinds), AVGO would be disproportionately impacted\"\n    ],\n    \"what_the_market_might_be_missing\",\n    \":\",\n    \"The Google Long-Term TPU agreement through 2031\",\n    \"combined with the Anthropic compute capacity commitment (~3.5 GW beginning 2027) and ~$164.6B in remaining performance obligations (with a new custom AI accelerator contract entered Q2)\",\n    \"represents a multi-year contracted revenue base that the market is not fully appreciating — especially given Hock Tan\",\n    \"s historically conservative guidance. The investor partner backstop arrangement for customer AI rack leases ($29B max exposure\",\n    \"disclosed June 8) effectively converts what appeared to be balance-sheet risk into an off-balance-sheet financing structure while locking in long-term customers. Cathie Wood\",\n    \"s ARK buying the dip post-selloff (June 11 news) signals at least one sophisticated buyer views the ~22% pullback as overdone. The CFO transition to Amie Thuener from Alphabet may also signal improved investor relations and transparency given her experience with large-cap financial reporting.\\\"\",\n    \"anti_signals_present\",\n    \":\",\n    [\n      \"concentration\",\n      \"dilution\"\n    ],\n    \"sources\",\n    \":\",\n    [\n      {\n        \"label\": \"10-K FY2025 (ended Nov 2, 2025) — primary business description, segment financials, risk factors\",\n        \"url\": \"https://www.sec.gov/Archives/edgar/data/1730168/000173016825000121/avgo-20251102.htm\"\n      },\n      {\n        \"label\": \"10-Q Q2 FY2026 (ended May 3, 2026) — quarterly results, subsequent events including AI rack investor partner backstop ($29B max), customer concentration detail\",\n        \"url\": \"https://www.sec.gov/Archives/edgar/data/1730168/000173016826000054/avgo-20260503.htm\"\n      },\n      {\n        \"label\": \"8-K April 6, 2026 — Google Long-Term TPU Agreement through 2031 and Anthropic expanded collaboration with ~3.5 GW compute commitment\",\n        \"url\": \"https://www.sec.gov/Archives/edgar/data/1730168/000119312526144028/d87999d8k.htm\"\n      },\n      {\n        \"label\": \"8-K April 2, 2026 — CFO transition from Spears to Thuener (ex-Alphabet), compensation details\",\n        \"url\": \"https://www.sec.gov/Archives/edgar/data/1730168/000119312526140574/d109450d8k.htm\"\n      },\n      {\n        \"label\": \"Form 4: Henry Samueli RSU grant April 21, 2026 — director equity award; no open-market purchase signal\",\n        \"url\": \"https://www.sec.gov/Archives/edgar/data/1730168/000110465926047737/xslF345X06/tm2612412-1_4seq1.xml\"\n      },\n      {\n        \"label\": \"Earnings history and forward estimates: next earnings Sept 3, 2026; consistent small positive EPS beats\",\n        \"url\": \"\"\n      },\n      {\n        \"label\": \"Broadcom Q2 FY2026 post-earnings selloff coverage — 'great isn't good' AI narrative shift\",\n        \"url\": \"https://247wallst.com/investing/2026-06/11/broadcoms-selloff-shows-the-new-rule-of-ai-stocks-great-isnt-good/\"\n      }\n    ],\n    \"unfetched_signals\",\n    \":\",\n    [\n      \"13f_deltas\",\n      \"politician_trades\",\n      \"sentiment_score\"\n    ]\n  ]\n}\n\nOutput ONLY the decision JSON described in the system prompt. Do NOT\ninclude <think>...</think> reasoning blocks — they eat the output token\nbudget and produce truncated, unparseable decisions.",
  "completions": [
    {
      "ts": "2026-06-12T04:12:36.103Z",
      "raw_content": "<think>The user wants me to score the dossier for AVGO and decide whether to skip or draft an idea.\nLet's go through the scoring rubric:\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- material_insider_selling: null -> 0 pts\n- No 13F initiation mentioned.\n- Score: 0\n\nB. OPTIONS FLOW / UOA (max 10)\n- call/put dollar bias +$2.3M in favor of calls (moderate) -> 2 pts\n- Put OI concentrated at $350-$360 providing support -> 1 pt\n- Skew slightly elevated on put side -> neutral/slightly negative\n- Score: ~3\n\nC. CATALYST (max 25)\n- Next earnings: 2026-09-03 (within 90 days? June 12 to Sept 3 is ~83 days, so yes)\n- Last 4 quarters EPS surprise > 0%? Dossier says \"consistent small beats of 1-4% historically\" -> 10 pts\n- Recent guidance raise in last 90d: true -> 5 pts\n- Quantifiable sector tailwind: hyperscaler capex flowing to AVGO (Google TPU through 2031, Anthropic 3.5GW) -> 5 pts\n- Cap at 25. Let's say 20.\n\nD. MISPRICING (max 15)\n- Forward P/E: 19.93. Sector median not provided, but narrative says \"premium but not unreasonable\". EV/EBITDA 44.66 is extremely rich. FCF yield 1.48% is low.\n- Score: 0\n\nE. QUALITY (max 15)\n- ROIC: 37.3% -> 5 pts\n- Gross margin trend: null -> 0 pts\n- Net debt/EBITDA: 6.2 -> 0 pts (needs ≤ 2x)\n- Score: 5\n\nF. MOMENTUM/TECHNICAL (max 10)\n- Above 50DMA: false -> 0 pts\n- Above 200DMA: true -> 3 pts\n- RSI 14: 42.2 -> 2 pts\n- MACD bullish cross: false -> 0 pts\n- Score: 5\n\nTotal Score: 0 + 3 + 20 + 0 + 5 + 5 = 33.\n\nWait, let's check the scoring rules carefully.\nCatalyst: 10 (earnings within 90d + surprise) + 5 (guidance raise) + 5 (sector tailwind) = 20. Cap 25.\nMispricing: 0.\nQuality: 5 (ROIC).\nTechnical: 3 (above 200dma) + 2 (RSI 40-65) = 5.\nOptions: 3.\nSmart money: 0.\nTotal: 33.\n\nRisk Class: market_cap > $5B -> \"core\"\nThresholds for Core: < 45 -> Skip.\n\nAnti-signal gates:\n- Customer concentration > 30%: \"one unnamed distributor accounts for 42% of total net revenue in Q2\" -> This triggers the anti-signal gate.\n- Dilution mentioned in anti_signals_present: [\"concentration\", \"dilution\"]. Wait, the dossier says anti_signals_present has \"concentration\" and \"dilution\". The prompt says: \"If scoring_inputs has anti_signals_present non-empty, treat each entry as a gate; skip unless you can articulate WHY it doesn't apply to this case.\"\nActually, customer concentration > 30% is a hard gate. \"Customer concentration > 30%\" -> skip.\nAlso, score is 33, well below 45.\n\nTherefore, skip is the correct default.\nReason: Score is 33, below the 45 threshold. Additionally, customer concentration risk (42% of revenue from a single distributor) triggers a hard anti-signal gate. The stock is trading at a rich EV/EBITDA multiple with no insider buying, making it unsuitable for publication despite the Google TPU catalyst.\n\nLet's double check the score calculation.\nA: 0\nB: 3 (moderate call bias + support zone)\nC: 20 (earnings + surprise, guidance raise, hyperscaler tailwind)\nD: 0 (rich valuation, low FCF yield)\nE: 5 (ROIC 37.3%)\nF: 5 (above 200DMA, RSI 40-65)\nTotal: 33.\n\nMatches skip criteria.\nOutput format:\n{\n  \"skip\": true,\n  \"score\": 33,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 3,\n    \"catalyst\": 20,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 5\n  },\n  \"reason\": \"Score of 33 falls well below the 45 threshold. Additionally, a hard anti-signal gate is triggered by extreme customer concentration (42% of revenue from a single distributor), and the stock trades at a rich EV/EBITDA multiple (~44.7x) with zero insider buying, making it unsuitable for publication.\"\n}\n\nCheck constraints:\n- \"ONLY ONE STRUCTURE TYPE.\" -> N/A for skip.\n- \"OUTPUT ONLY VALID JSON.\"\n- Date rules: N/A for skip, but I will ensure no dates are needed.\n- Score breakdown matches rubric.\n- Reason is 1-2 sentences.\n\nWait, let's verify the catalyst scoring.\n\"10 pts: earnings within 90 days AND last 4 quarters' EPS surprise > 0%\" -> +10\n\"5 pts: recent guidance raise (last 90 days)\" -> +5\n\"5 pts: quantifiable sector tailwind\" -> +5\nTotal 20. Correct.\n\nQuality:\n\"5 pts: ROIC ≥ 15%\" -> +5. Correct.\n\nTechnical:\n\"3 pts: above both 50DMA and 200DMA\" -> it's only above 200DMA, so 0 for this.\n\"4 pts: 12-1 month price return positive AND beating sector\" -> null data, assume 0.\n\"2 pts: RSI 14 in 40-65 zone\" -> 42.2 is in 40-65. +2.\n\"1 pt: MACD bullish cross\" -> false.\nTotal technical: 2. (I previously said 5, let's correct to 2).\n\nOptions:\n\"4 pts: whale_call_blocks_otm ≥ 2...\" -> not specified, assume 0.\n\"3 pts: bullish IV skew\" -> put side elevated, so 0.\n\"2 pts: net_dollar_bias_pct > 30\" -> +$2.3M, likely not >30% but let's give 1 pt for moderate bias/support.\n\"1 pt: large OI building at defended price\" -> Put OI at $350-360. +1.\nTotal options: 2.\n\nRevised total: 0 + 2 + 20 + 0 + 5 + 2 = 29.\nStill < 45. Skip is robust.\n\nLet's stick to the calculated scores but be careful with the breakdown. I'll assign:\nsmart_money: 0\noptions_flow: 2\ncatalyst: 20\nmispricing: 0\nquality: 5\ntechnical: 2\nTotal: 29.\n\nReason: \"Score of 29 falls well below the 45 threshold. Additionally, a hard anti-signal gate is triggered by extreme customer concentration (42% of revenue from a single distributor), and the stock trades at a rich EV/EBITDA multiple (~44.7x) with zero insider buying, making it unsuitable for publication.\"\n\nCheck anti-signal rule: \"Customer concentration > 30%\" -> triggers skip.\nCheck structure guidance: Scout said range_bound_or_income, but score is too low anyway.\nAll good.\n\nOutput matches exactly.\nOne minor thing: The prompt says \"If scoring_inputs has anti_signals_present non-empty, treat each entry as a gate; skip unless you can articulate WHY it doesn't apply to this case.\" I will mention the concentration gate in the reason.\n\nFinal JSON construction.\n{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 2,\n    \"catalyst\": 20,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 2\n  },\n  \"reason\": \"Score of 29 falls well below the 45 threshold. Additionally, a hard anti-signal gate is triggered by extreme customer concentration (42% of revenue from a single distributor), and the stock trades at a rich EV/EBITDA multiple (~44.7x) with zero insider buying, making it unsuitable for publication.\"\n}\nWait, let's verify technical scoring again. \"3 pts: above both 50DMA and 200DMA\" -> it's only above 200DMA, so 0. \"2 pts: RSI 14 in 40-65 zone\" -> 42.2 qualifies. So 2 pts. Correct.\nOptions: \"1 pt: large OI building at a defended price level\" -> Put OI at 350-360. +1. \"2 pts: net_dollar_bias_pct > 30\" -> not explicitly >30%, but +$2.3M is moderate. I'll give 1 pt for moderate call bias. Total 2. Correct.\nCatalyst: 20. Correct.\nQuality: 5. Correct.\nMispricing: 0. Correct.\nSmart money: 0. Correct.\nTotal: 29.\n\nAll matches rubric. Output matches request.\nProceed. \nOne detail: \"anti_signals_present\" has \"concentration\" and \"dilution\". I will cite concentration.\nThe prompt says \"OUTPUT ONLY VALID JSON.\"\nI will generate exactly that. \nCheck date rules: Not applicable for skip, but I'll ensure no dates are in the reason.\nReady. \nOutput matches exactly. \nProceeds. \n(Self-Correction/Refinement during thought)\nLet's double check the catalyst scoring: \"10 pts: earnings within 90 days AND last 4 quarters' EPS surprise > 0%\". Next earnings is Sept 3, 2026. June 12 to Sept 3 is 83 days. So it's within 90 days. +10.\n\"5 pts: recent guidance raise (last 90 days)\" -> true. +5.\n\"5 pts: quantifiable sector tailwind\" -> Google TPU through 2031 + Anthropic 3.5GW. +5.\nTotal 20. Correct.\n\nQuality: ROIC 37.3% -> +5. Correct.\nTechnical: RSI 42.2 -> +2. Correct.\nOptions: +2. Correct.\nSmart Money: 0. Correct.\nMispricing: 0. Correct.\nTotal 29.\n\nAll good. Output matches. \nProceeds. \nOutput Generation. \n```json\n{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 2,\n    \"catalyst\": 20,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 2\n  },\n  \"reason\": \"Score of 29 falls well below the 45 threshold. Additionally, a hard anti-signal gate is triggered by extreme customer concentration (42% of revenue from a single distributor), and the stock trades at a rich EV/EBITDA multiple (~44.7x) with zero insider buying, making it unsuitable for publication.\"\n}\n```\nMatches perfectly. No extra text. Valid JSON. Done. \nWait, let's verify the exact wording for the reason to ensure it's 1-2 sentences. It is two sentences. Good.\nCheck rubric caps: Catalyst capped at 25, I gave 20. Mispricing capped at 15, I gave 0. Quality capped at 15, I gave 5. Technical capped at 10, I gave 2. Options capped at 10, I gave 2. Smart money capped at 25, I gave 0. Sum is 29.\nAll correct.\nProceeds. \nOutput matches request. \n[Final Check of the Prompt]\n\"OUTPUT ONLY VALID JSON. No surrounding prose, no markdown fences.\"\nI will output raw JSON.\nDone. \nProceeds. \n[Output Generation] -> *Self-Correction/Note during generation prep*: I should make sure the JSON is strictly valid and matches the schema exactly. The prompt says \"OUTPUT ONLY VALID JSON. No surrounding prose, no markdown fences.\" I will strictly follow that.\nAll good. \nOutput matches. \nProceeds. \n[Done] \n`{\"skip\": true, \"score\": 29, \"score_breakdown\": {\"smart_money\": 0, \"options_flow\": 2, \"catalyst\": 20, \"mispricing\": 0, \"quality\": 5, \"technical\": 2}, \"reason\": \"Score of 29 falls well below the 45 threshold. Additionally, a hard anti-signal gate is triggered by extreme customer concentration (42% of revenue from a single distributor), and the stock trades at a rich EV/EBITDA multiple (~44.7x) with zero insider buying, making it unsuitable for publication.\"}`\nWait, formatting it nicely is fine as long as it's valid JSON. I'll output it cleanly.\nAll constraints met.\nProceeds. \n[Output Generation] (matches the refined JSON)\nDone. \n(Self-Correction/Verification during thought)\nLet's quickly re-verify the technical score. \"3 pts: above both 50DMA and 200DMA\" -> false for 50DMA, so 0. \"4 pts: 12-1 month price return positive AND beating sector\" -> null, so 0. \"2 pts: RSI 14 in 40-65 zone\" -> 42.2 is in range, so +2. \"1 pt: MACD bullish cross\" -> false, so 0. Total = 2. Correct.\nOptions: \"4 pts: whale_call_blocks_otm ≥ 2...\" -> not met. \"3 pts: bullish IV skew\" -> put skew elevated, so 0. \"2 pts: net_dollar_bias_pct > 30\" -> not explicitly >30%, but moderate call bias mentioned. I'll give 1 pt. \"1 pt: large OI building at a defended price level\" -> put OI at 350-360. +1. Total = 2. Correct.\nCatalyst: 20. Correct.\nQuality: 5. Correct.\nMispricing: 0. Correct.\nSmart money: 0. Correct.\nTotal: 29.\nAll solid.\nOutput matches.\nProceeds. \n[Final Output Generation] -> *Proceeds*\n</think>\n\n{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 2,\n    \"catalyst\": 20,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 2\n  },\n  \"reason\": \"Score of 29 falls well below the 45 threshold. Additionally, a hard anti-signal gate is triggered by extreme customer concentration (42% of revenue from a single distributor), and the stock trades at a rich EV/EBITDA multiple (~44.7x) with zero insider buying, making it unsuitable for publication.\"\n}",
      "cleaned_content": "{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 2,\n    \"catalyst\": 20,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 2\n  },\n  \"reason\": \"Score of 29 falls well below the 45 threshold. Additionally, a hard anti-signal gate is triggered by extreme customer concentration (42% of revenue from a single distributor), and the stock trades at a rich EV/EBITDA multiple (~44.7x) with zero insider buying, making it unsuitable for publication.\"\n}",
      "tool_calls": null,
      "finish_reason": "stop"
    }
  ],
  "tool_results": [],
  "final_message": "{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 2,\n    \"catalyst\": 20,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 2\n  },\n  \"reason\": \"Score of 29 falls well below the 45 threshold. Additionally, a hard anti-signal gate is triggered by extreme customer concentration (42% of revenue from a single distributor), and the stock trades at a rich EV/EBITDA multiple (~44.7x) with zero insider buying, making it unsuitable for publication.\"\n}",
  "tool_calls_total": 0,
  "walltime_ms": 54721,
  "stop_reason": "stop",
  "completed_at": "2026-06-12T04:12:36.103Z"
}