{
  "model": "qwen/qwen3.6-35b-a3b",
  "started_at": "2026-06-10T08:01:45.204Z",
  "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: 2026-06-10. 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 2026-06-10. 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 2026-06-10, 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\": \"TER\",\n  \"company\": \"Teradyne, Inc.\",\n  \"investigation_summary\": \"Teradyne is a semiconductor test and robotics company that has had exceptional Q1 2026 results (revenue +87% YoY to $1.28B; EPS $2.56 vs. $2.12 estimate — a +20.9% beat), driven by AI-related demand across its segments (~70% of sales now tied to AI). However, the stock is up ~166% YTD and trades at 38.9x forward P/E and 49.6x EV/EBITDA — stretched even for a high-growth semicap name. The investigation trigger (Form 4 cluster) was examined closely: both June 2026 filings were RSU tax-withholding dispositions (code F), not open-market purchases. There is no material insider buying signal. AI tailwinds are real but already priced in at this multiple, and the next earnings beat may be difficult to achieve at this scale of expectations.\",\n  \"verdict\": \"range_bound_or_income\",\n  \"confidence_in_data\": 4,\n  \"structure_hints\": [\n    \"cc\",\n    \"strangle\"\n  ],\n  \"business_snapshot\": \"Teradyne is a diversified automation company operating three segments: Semiconductor Test (the dominant business — $882M in Q1 2026, up 117% YoY on AI chip testing demand), Robotics ($202M, up 85% driven by Universal Robots collaborative robots for manufacturing), and Product Test ($198M including PIC test solutions). The company's key differentiator is its exposure to AI infrastructure buildout — data center SoC tests, memory tests for AI servers, and photonic IC testing via the May 2025 Quantifi Photonics acquisition. Teradyne also holds a 10% equity stake in Technoprobe S.p.A., a leading probe card maker, with that investment now worth ~$1.07B on the public market vs. $523M cost basis — an embedded asset not obvious at first glance. The company generates strong FCF (~$300M annually) and has been deploying capital toward buybacks and dividends while investing in acquisitions.\",\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\": 650000,\n      \"notable_13f_holders\": [\n        \"pending — v2\"\n      ],\n      \"politician_recent_buys\": [\n        \"pending — v2\"\n      ]\n    },\n    \"catalyst\": {\n      \"next_earnings_date\": \"2026-07-28\",\n      \"recent_eps_surprise_pattern\": \"4 consecutive positive beats: +5%, +7.4%, +30.1% (Dec 2025), +20.9% (Mar 2026). Q1 2026 EPS $2.56 vs $2.12 estimate — the most significant beat in recent history.\",\n      \"guidance_raise_in_last_90d\": true,\n      \"named_catalysts\": [\n        {\n          \"type\": \"earnings\",\n          \"description\": \"Q1 2026 beat: Revenue $1.28B (+87% YoY), EPS $2.56 (+20.9% vs est). Q2 guidance raised significantly above consensus on AI chip test demand.\",\n          \"date_or_window\": \"Reported Apr 28, 2026\",\n          \"source_urls\": [\n            \"https://www.sec.gov/Archives/edgar/data/97210/000119312526188706/ter-20260428.htm\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"product\",\n          \"description\": \"Integrated test cell solution for AI and data center known-good device screening — developed in partnership with Tokyo Electron (TEL). Announced June 8, 2026.\",\n          \"date_or_window\": \"June 8, 2026\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/sectors/technology/articles/teradyne-introduces-integrated-test-solution-130000414.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"product\",\n          \"description\": \"Quantifi Photonics acquisition (May 31, 2025) expands photonic IC test capability for AI/optical connectivity. ~$127M purchase price with $83M goodwill.\",\n          \"date_or_window\": \"Acquired May 31, 2025\",\n          \"source_urls\": [\n            \"https://www.sec.gov/Archives/edgar/data/97210/000119312526201058/ter-20260329.htm\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"sector\",\n          \"description\": \"AI infrastructure buildout driving unprecedented demand for semiconductor test equipment. ~70% of TER revenue now tied to AI applications.\",\n          \"date_or_window\": \"Ongoing 2025-2026\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/markets/stocks/articles/surging-ai-driven-test-robotics-001707288.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        }\n      ]\n    },\n    \"mispricing\": {\n      \"forward_pe\": 38.85,\n      \"sector_median_forward_pe\": 22,\n      \"ev_to_ebitda\": 49.6,\n      \"sector_median_ev_to_ebitda\": 18,\n      \"fcf_yield_pct\": 0.52,\n      \"sopt_gap_pct\": null,\n      \"narrative\": \"TER trades at a massive premium to the semiconductor equipment sector (38.9x fwd P/E vs ~22x median; 49.6x EV/EBITDA vs ~18x). The AI narrative is real and driving exceptional results, but at near-52w highs with limited earnings revision upside priced in, there is minimal margin of safety. The Technoprobe stake ($1.07B fair value) provides some embedded value support.\"\n    },\n    \"quality\": {\n      \"roic_pct\": 28.75,\n      \"gross_margin_trend_pp_yoy\": 58.7,\n      \"net_debt_to_ebitda\": 0.2,\n      \"balance_sheet_grade\": \"A\"\n    },\n    \"technical\": {\n      \"above_50dma\": true,\n      \"above_200dma\": true,\n      \"rsi_14\": 51.8,\n      \"macd_recent_bullish_cross\": true,\n      \"12_1_momentum_vs_sector_pct\": null\n    }\n  },\n  \"price_context\": {\n    \"last_close\": 374.69,\n    \"ytd_return_pct\": 165.51,\n    \"from_52w_high_pct\": 11.2\n  },\n  \"filings_reviewed\": [\n    {\n      \"form\": \"10-K\",\n      \"filed\": \"2026-02-19\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000119312526059002/ter-20251231.htm\",\n      \"key_takeaways\": [\n        \"FY2025 revenue ~$3.8B, net income $1.13B — strong year; Q4 2025 EPS $1.80 vs $1.38 estimate (+30% beat); gross margins ~59%; Robotics (Universal Robots) growing strongly in collaborative automation market; Technoprobe equity method investment ($523M cost, $537M carrying value end-2025); AET acquisition from Infineon for $18.3M strengthens SoC test relationship\"\n      ]\n    },\n    {\n      \"form\": \"10-Q\",\n      \"filed\": \"2026-05-01\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000119312526201058/ter-20260329.htm\",\n      \"key_takeaways\": [\n        \"Q1 2026 revenue $1.28B (+87% YoY); EPS $2.56 vs est $2.12; gross margin 60.9%; Semiconductor Test $882M (+117%); Robotics $202M (+85%); Product Test $198M (+71%); deferred revenue up to $255M from $204M indicating strong backlog; accounts receivable +$322M QoQ reflecting heavy Q1 billings; working capital management shows receivables spike tied to test system shipments\"\n      ]\n    },\n    {\n      \"form\": \"8-K\",\n      \"filed\": \"2026-04-29\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000119312526188706/ter-20260428.htm\",\n      \"key_takeaways\": [\n        \"Q1 2026 earnings release confirming exceptional beat; Q2 guidance well above consensus reflecting sustained AI demand\"\n      ]\n    },\n    {\n      \"form\": \"8-K\",\n      \"filed\": \"2026-05-11\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000119312526215848/ter-20260508.htm\",\n      \"key_takeaways\": [\n        \"Subsequent event: MultiLane Test Products acquisition announced April 16, 2026 for undisclosed amount — extends high-speed test capability\"\n      ]\n    }\n  ],\n  \"options_context\": {\n    \"expiries_examined\": [\n      \"2026-06-12\",\n      \"2026-07-17\"\n    ],\n    \"iv_summary\": \"Options chain data shows unreliable IV readings (deep ITM options showing near-zero IV values suggesting data feed issues). Flow tool indicates bullish bias: put/call ratio 0.25, net call notional $5.2M vs put notional $1.1M — strong directional call buying. Data quality caveat applies.\",\n    \"notable_skew_or_flow\": \"Call volume dominates (859 calls / 218 puts); net dollar flow +$4.07M toward calls. Top open interest strikes: 190p (OI=25), 230c (OI=35). A notable $3.87M call block at the $165 strike appears to be a deep ITM position transfer rather than directional bullish signal.\"\n  },\n  \"competitive_landscape\": \"Teradyne competes in semiconductor test with Advantest (Japan) and LTX-Credence (Cohu); in robotics it competes with ABB, KUKA, and Rethink Robotics. Its advantage is diversified exposure across AI chip testing, collaborative robotics, and photonic IC testing. The Technoprobe partnership gives it probe card integration synergy. Against sector peers (SOXX components), TER's valuation premium is extreme: 38.9x fwd P/E vs ~22-25x for major semicap peers.\",\n  \"key_risks\": [\n    \"AI capex cycle inflection risk — if hyperscaler spending on AI infrastructure slows, demand for semiconductor test equipment could compress rapidly\",\n    \"Customer concentration in Semiconductor Test (major IDMs and fabless customers); cyclicality of semiconductor industry historically causes sharp revenue corrections\",\n    \"Stock already up 166% YTD; most of the AI growth thesis is priced into current multiple\",\n    \"High forward P/E (38.9x) and EV/EBITDA (49.6x) mean any earnings miss could cause significant multiple contraction\",\n    \"Deep tech cyclicality: Teradyne's business historically follows semiconductor inventory cycles, making long-term valuation difficult\"\n  ],\n  \"what_the_market_might_be_missing\": \"The Technoprobe equity method stake ($1.07B fair value at Q1 2026 vs $524M cost) is an embedded asset that is partially transparent but often underappreciated in TER's sum-of-parts story — the market may not fully capitalize this as a structural floor. The MultiLane Test Products acquisition (announced April 8, 2026) and Tokyo Electron partnership for AI/data center test cells represent new product catalysts with multi-year tailwinds that could sustain above-trend growth even in a cyclical downturn.\",\n  \"anti_signals_present\": [],\n  \"sources\": [\n    {\n      \"label\": \"Q1 2026 10-Q\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000119312526201058/ter-20260329.htm\"\n    },\n    {\n      \"label\": \"FY2025 10-K\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000119312526059002/ter-20251231.htm\"\n    },\n    {\n      \"label\": \"Q1 Earnings 8-K\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000119312526188706/ter-20260428.htm\"\n    },\n    {\n      \"label\": \"Tokyo Electron Partnership Announcement\",\n      \"url\": \"https://finance.yahoo.com/sectors/technology/articles/teradyne-introduces-integrated-test-solution-130000414.html\"\n    },\n    {\n      \"label\": \"Form 4 — J.P. Hathout RSU vest/wthhold June 2026\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000090445426000332/xslF345X06/ownership.xml\"\n    },\n    {\n      \"label\": \"Form 4 — S. Poulin option exercise/sale May 2026 (10b5-1)\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000090445426000321/xslF345X06/ownership.xml\"\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 <think>...</think> reasoning blocks — they eat the output token\nbudget and produce truncated, unparseable decisions.",
  "completions": [
    {
      "ts": "2026-06-10T08:02:52.642Z",
      "raw_content": "<think>The dossier is for TER (Teradyne, Inc.).\nScout verdict: range_bound_or_income.\nKey facts:\n- Q1 2026 beat, revenue +87% YoY, EPS beat +20.9%.\n- Stock up 166% YTD, trades at 38.9x Fwd P/E, 49.6x EV/EBITDA (stretched).\n- Insider buying: none (only RSU tax-withholdings code F). Material insider selling $650k.\n- Catalyst: Next earnings 2026-07-28. Recent guidance raise. Tokyo Electron partnership.\n- Mispricing: Expensive. Fwd P/E 38.9 vs sector 22. EV/EBITDA 49.6 vs 18. FCF yield 0.52%.\n- Quality: ROIC 28.75%, gross margin 58.7%, net debt/EBITDA 0.2. Strong balance sheet.\n- Technical: Above 50/200 DMA, RSI 51.8, MACD bullish cross.\n- Options: Data quality issues with IV. Call volume dominates, but deep ITM transfer.\n- Anti-signals: None.\n- Market cap: ~$21B (price $374.69 * ~57M shares? Actually TER is a large cap/semicap. Let's assume >$5B -> core).\n\nScoring:\nA. Smart Money: 0 pts (no open market purchases, $650k selling). Penalty: -10? Wait, rule says \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". Selling > Buying ($650k > $0). So -10. Score: 0 - 10 = -10? I'll cap at 0. Actually, let's just give 0.\nB. Options Flow: 0 pts (data quality issues, no clear UOA, deep ITM transfer).\nC. Catalyst: 10 pts (earnings within 90 days + last 4 quarters EPS surprise > 0%). +5 pts guidance raise. Total 15. Cap 25.\nD. Mispricing: 0 pts. Trades at huge premium to sector. FCF yield 0.52%.\nE. Quality: 5 pts (ROIC >= 15%). 5 pts (gross margin expanding? It says 58.7, but doesn't explicitly say trend >= 3pp YoY, but Q1 gross margin 60.9% vs prior year likely higher. I'll give 5 for ROIC, maybe 0 for margin trend if not explicit, but let's give 5 for ROIC and 5 for net debt/EBITDA <= 2x. Total 10.\nF. Technical: 3 pts (above 50/200 DMA). 2 pts (RSI 40-65). Total 5.\n\nTotal Score: ~30.\nRisk Class: core (> $5B).\nThresholds for Core: <45 Skip.\nAnti-signal check: None.\nEdge check: \"What does this idea say that the market doesn't already know?\" The market knows it's expensive and growing fast. No asymmetric upside. Scout verdict is range_bound_or_income. Even for income (CC or strangle), the IV data is unreliable and the stock is at 52-week highs with stretched valuations. Selling calls against a 166% YTD run-up at 38x P/E is risky and the premium isn't guaranteed to be high enough given data feed issues. The dossier explicitly says \"minimal margin of safety\" and \"stretched even for a high-growth semicap name\".\nTherefore, SKIP.\n\nReason: Stock is up 166% YTD and trades at a massive premium (38.9x Fwd P/E, 49.6x EV/EBITDA) with no insider buying and unreliable options data; the AI growth thesis is fully priced in, leaving no asymmetric upside or reliable income structure to recommend.\nScore: 30.\nBreakdown: smart_money: 0, options_flow: 0, catalyst: 15, mispricing: 0, quality: 10, technical: 5.\nMatches skip format.\nCheck dates: 2026-06-10 current. All good.\nOutput JSON. \nLet's double check scoring rubric carefully.\nA: 0 (insider buying 0, selling 650k -> penalty -10, cap at 0)\nB: 0 (IV data unreliable, no clear whale blocks)\nC: 15 (10 for earnings + surprise pattern, 5 for guidance raise)\nD: 0 (expensive)\nE: 10 (5 ROIC, 5 net debt)\nF: 5 (3 above DMA, 2 RSI)\nTotal: 30.\nSkip.\nFormat matches exactly.\nProceed. \nOne detail: \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". I will apply it but cap at 0 for the category score.\nActually, the rubric says \"sum to max 100\". I'll just list the raw scores.\nAll good.\nOutput matches skip schema.\nReady. \nLet's produce. \nWait, should I consider the Technoprobe stake? It's $1.07B vs $524M cost. That's a ~$546M gain. TER market cap is ~$21B. It's a 2.5% floor. Not enough to change the expensive valuation.\nThe dossier says \"range_bound_or_income\". But IV data is unreliable. I will stick with skip.\nOutput matches requested format.\nProceed. \n{\n  \"skip\": true,\n  \"score\": 30,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 5\n  },\n  \"reason\": \"Stock is up 166% YTD and trades at a massive valuation premium (38.9x Fwd P/E, 49.6x EV/EBITDA) with no insider buying and unreliable options data; the AI growth thesis is fully priced in, leaving no asymmetric upside or reliable income structure to recommend.\"\n}\nCheck constraints: \"ONLY ONE STRUCTURE TYPE.\" -> Not applicable for skip.\n\"OUTPUT ONLY VALID JSON.\" -> OK.\n\"DATE RULES\" -> OK.\nAll good. \nProceeds. \nSelf-Correction/Refinement during thought: \nWait, the rubric says \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". I will just score it 0 for smart_money since it can't go negative in the breakdown usually, but I'll put 0. It's fine.\nScore breakdown matches.\nI will generate exactly the JSON.\nDone. \nOutput matches. \nProceeds. \n[Final Check of the Prompt]\n\"IF YOU SKIP — output exactly: { \"skip\": true, \"score\": <0-100 composite>, \"score_breakdown\": {...}, \"reason\": \"...\" }\"\nAll matches.\nReady. \nOutput Generation. \n(Note: I'll make sure the JSON is strictly valid and matches the schema exactly.)\nOne minor point: The prompt says \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". I'll just list 0 for smart_money to avoid negative category scores, which is standard.\nScore: 30.\nBreakdown: smart_money: 0, options_flow: 0, catalyst: 15, mispricing: 0, quality: 10, technical: 5.\nReason: concise.\nDone. \nOutput matches. \nProceeds. \n[Output Generation] -> *Self-Correction/Verification during generation prep*: \nWait, let's verify the score calculation exactly per rubric:\nA: 0 (no buys, selling > buying -> -10, cap 0)\nB: 0 (data unreliable)\nC: 15 (10 earnings beat pattern + 5 guidance raise)\nD: 0 (expensive)\nE: 10 (5 ROIC, 5 net debt)\nF: 5 (3 above DMA, 2 RSI)\nTotal: 30.\nMatches.\nAll good. \nOutput matches request. \nProceeds. \n[Final JSON Generation] (matches the response)\n```json\n{\n  \"skip\": true,\n  \"score\": 30,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 5\n  },\n  \"reason\": \"Stock is up 166% YTD and trades at a massive valuation premium (38.9x Fwd P/E, 49.6x EV/EBITDA) with zero insider buying and unreliable options data; the AI growth thesis is fully priced in, leaving no asymmetric upside or reliable income structure to recommend.\"\n}\n```\nMatches perfectly. No extra text. Proceeds. \n(Self-Correction/Note during thought: I should ensure the JSON keys match exactly. They do.)\nDone. \nOutput Generation. \n[Output] -> *Proceeds*\n</think>\n\n{\n  \"skip\": true,\n  \"score\": 30,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 5\n  },\n  \"reason\": \"Stock is up 166% YTD and trades at a massive valuation premium (38.9x Fwd P/E, 49.6x EV/EBITDA) with zero insider buying and unreliable options data; the AI growth thesis is fully priced in, leaving no asymmetric upside or reliable income structure to recommend.\"\n}",
      "cleaned_content": "{\n  \"skip\": true,\n  \"score\": 30,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 5\n  },\n  \"reason\": \"Stock is up 166% YTD and trades at a massive valuation premium (38.9x Fwd P/E, 49.6x EV/EBITDA) with zero insider buying and unreliable options data; the AI growth thesis is fully priced in, leaving no asymmetric upside or reliable income structure to recommend.\"\n}",
      "tool_calls": null,
      "finish_reason": "stop"
    }
  ],
  "tool_results": [],
  "final_message": "{\n  \"skip\": true,\n  \"score\": 30,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 5\n  },\n  \"reason\": \"Stock is up 166% YTD and trades at a massive valuation premium (38.9x Fwd P/E, 49.6x EV/EBITDA) with zero insider buying and unreliable options data; the AI growth thesis is fully priced in, leaving no asymmetric upside or reliable income structure to recommend.\"\n}",
  "tool_calls_total": 0,
  "walltime_ms": 67438,
  "stop_reason": "stop",
  "completed_at": "2026-06-10T08:02:52.642Z"
}