{
  "model": "qwen/qwen3.6-35b-a3b",
  "started_at": "2026-06-03T04:20:06.371Z",
  "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: 2026-06-03. 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 2026-06-03. 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 2026-06-03, 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 has had a spectacular run (YTD +81%) driven by AI-linked semiconductor test demand representing ~70% of revenue. Q1 2026 earnings smashed estimates (+21% EPS beat). However, at forward P/E of 41x and EV/EBITDA of 52.8x, the stock is at/near all-time highs with no margin of safety for a long thesis. The two recent Form 4 filings that triggered this investigation are both routine — Shannon Poulin (President, Semiconductor Test) exercised options and sold pursuant to pre-set Rule 10b5-1 plans; Marilyn Matz (Director) made a small discretionary sale at market. Neither represents insider conviction buying. Options flow shows call-bias but no whale blocks. The elevated IV (~77%) creates an attractive income thesis on the stock near its ceiling.\",\n  \"verdict\": \"range_bound_or_income\",\n  \"confidence_in_data\": 4,\n  \"structure_hints\": [\n    \"cc\",\n    \"strangle\",\n    \"csp\"\n  ],\n  \"business_snapshot\": \"Teradyne operates two distinct businesses: (1) Semiconductor Test — automated test equipment for SOC, memory, and flash used by major chipmakers across automotive, communications, consumer, cloud, and AI infrastructure applications; this segment is riding the wave of AI-driven chip demand. (2) Robotics — anchored by Universal Robots (collaborative cobots), Quantifi Photonics (test/inspection), and MiR (mobile robots). The company has $61.5B market cap, $3.8B TTM revenue, 58.7% gross margins, and ~28.8% ROE. Net cash position of $245M vs. $82M debt is healthy. Revenue growth re-accelerated sharply in Q1 2026 as AI-related orders surged.\",\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\": 575000,\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 (Q2 FY26 estimate)\",\n      \"recent_eps_surprise_pattern\": \"4 consecutive positive beats: Q3 2025 +7.4%, Q4 2025 +30.1% beat, Q1 2026 +20.9% beat — strong momentum\",\n      \"guidance_raise_in_last_90d\": true,\n      \"named_catalysts\": [\n        {\n          \"type\": \"earnings\",\n          \"description\": \"Q2 FY26 reporting window (est. ~July 28); Q1 results showed AI-driven test demand surge with EPS $2.56 vs est $2.12\",\n          \"date_or_window\": \"2026-07-28\",\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\": \"sector\",\n          \"description\": \"AI infrastructure buildout structurally undersupplying — Nvidia GTC Taipei, Micron blowout Q1 2026 driving renewed focus on semiconductor equipment makers with AI-linked exposure\",\n          \"date_or_window\": \"Ongoing 2026\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/markets/stocks/articles/skyworks-solutions-teradyne-stocks-trade-233323545.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"product\",\n          \"description\": \"Flex partnership expansion (April 2026) deploying Teradyne Robotics automation across Flex's global manufacturing — adds recurring revenue visibility to robotics segment\",\n          \"date_or_window\": \"2026-04-22\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/markets/stocks/articles/flex-flex-expands-partnership-teradyne-201017773.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        }\n      ]\n    },\n    \"mispricing\": {\n      \"forward_pe\": 41.27,\n      \"sector_median_forward_pe\": 28.5,\n      \"ev_to_ebitda\": 52.8,\n      \"sector_median_ev_to_ebitda\": 22,\n      \"fcf_yield_pct\": 0.49,\n      \"sotp_gap_pct\": null,\n      \"narrative\": \"TER trades at a significant premium to semi-equipment peers on both P/E (41x vs ~28x sector) and EV/EBITDA (52x+). The stock has nearly tripled in 12 months. No near-term catalyst justifies the multiple expansion beyond what is already priced in; AI tailwinds are well-known and broadly distributed across the equipment supply chain.\"\n    },\n    \"quality\": {\n      \"roic_pct\": 28.75,\n      \"gross_margin_trend_pp_yoy\": null,\n      \"net_debt_to_ebitda\": -0.39,\n      \"balance_sheet_grade\": \"A\"\n    },\n    \"technical\": {\n      \"above_50dma\": true,\n      \"above_200dma\": true,\n      \"rsi_14\": 59,\n      \"macd_recent_bullish_cross\": true,\n      \"12_1_momentum_vs_sector_pct\": null\n    }\n  },\n  \"price_context\": {\n    \"last_close\": 392.62,\n    \"ytd_return_pct\": 81.07,\n    \"from_52w_high_pct\": -6.98\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 $3.79B, net income $853M; strong recovery from 2023-24 trough\",\n        \"Semiconductor Test segment largest contributor with AI-related orders ~70% of mix by Q4 2025\",\n        \"Universal Robots (Robotics) generating recurring software/subscription revenues alongside hardware\",\n        \"Net cash position: $246M cash vs $82M debt — fortress balance sheet\",\n        \"Acquisitions: Quantifi Photonics (May 2025), MiR (mobile robots) expanding robotics platform\",\n        \"Dividend initiated Q2 FY25 at $0.13/qtr\"\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 $1.23B (+58% YoY), EPS $2.56 vs estimate $2.12 (+21%)\",\n        \"Semiconductor Test revenue driven by AI infrastructure demand surge — test intensity per chip increasing\",\n        \"Subsequent events: TestInsight Ltd acquisition (April 16, 2026); MultiLane Test Products (April 8, 2026) expanding product portfolio\",\n        \"Robotics segment growing but remains a smaller portion of consolidated results\"\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 FY26 earnings release confirming EPS beat; no additional guidance provided beyond Q2 estimates\"\n      ]\n    },\n    {\n      \"form\": \"4\",\n      \"filed\": \"2026-05-26\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000090445426000321/xslF345X06/ownership.xml\",\n      \"key_takeaways\": [\n        \"Shannon Poulin (President, Semiconductor Test) — option exercise + 10b5-1 sale plan; NOT conviction selling\"\n      ]\n    },\n    {\n      \"form\": \"4\",\n      \"filed\": \"2026-05-26\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/97210/000090445426000319/xslF345X06/edgar.xml\",\n      \"key_takeaways\": [\n        \"Marilyn Matz (Director) — small $140K sale pursuant to 10b5-1 plan; routine, not conviction-based\"\n      ]\n    }\n  ],\n  \"options_context\": {\n    \"expiries_examined\": [\n      \"2026-07-17\"\n    ],\n    \"iv_summary\": \"ATM IV ~77% at July 17 expiry (~44 DTE); elevated across all strikes. Wide bid-ask spreads in puts suggest market-making uncertainty on near all-time-high stock.\",\n    \"notable_skew_or_flow\": \"No whale blocks detected; call-bias net flow (+85% directional bias) is modest and not extreme. Put OI concentrated at $310 and $240 strikes — downside hedges rather than speculative positioning.\"\n  },\n  \"competitive_landscape\": \"Teradyne competes in SOC test (against Advantest, LTX-Credence/Triune), memory test (via Magnum platform against Megic/Eagle Test), and cobotics/automation (Universal Robots vs. ABB, Fanuc, Kuka collaborative robots). Its Universal Robots brand is the market leader in cobots globally. The AI infrastructure cycle is broadly bullish for all semiconductor equipment makers; Teradyne's proprietary FLEX/J750/ETS platforms give it sticky customer relationships with TSMC, Samsung, Intel and other major foundries.\",\n  \"key_risks\": [\n    \"AI capex cycle could moderate — TER has high cyclical exposure to semiconductor upcycles\",\n    \"Forward P/E 41x leaves no room for guidance disappointment; any slowdown in AI infrastructure buildout would be acutely painful\",\n    \"Robotics segment faces competitive risk from larger industrial automation players (ABB, Fanuc, Kuka)\",\n    \"Teradyne is highly correlated to sector — if NVDA/AMD/MU pull back on macro concerns, TER follows\",\n    \"Very thin FCF yield (~0.5%) makes stock a pure momentum story with no income support\"\n  ],\n  \"what_the_market_might_be_missing\": \"Nothing material. The AI-semiconductor equipment thesis is broadly understood and fully priced in at these multiples. The Form 4 cluster that triggered this investigation turned out to be routine option exercises under pre-set plans — not conviction buying. No mispricing edge exists.\",\n  \"anti_signals\": [\n    \"low_liquidity\",\n    \"pump_signals\"\n  ],\n  \"sources\": [\n    {\n      \"label\": \"Yahoo Finance — TER News (Jensen Huang GTC Taipei AI cycle reframe)\",\n      \"url\": \"https://finance.yahoo.com/markets/stocks/articles/skyworks-solutions-teradyne-stocks-trade-233323545.html\"\n    },\n    {\n      \"label\": \"Zacks / Yahoo Finance — Analyst valuation assessment\",\n      \"url\": \"https://finance.yahoo.com/markets/stocks/articles/assessing-teradyne-ter-valuation-upgraded-180641722.html\"\n    },\n    {\n      \"label\": \"Yahoo Finance — Morgan Stanley PT raise to $387 (Equal Weight)\",\n      \"url\": \"https://finance.yahoo.com/markets/stocks/articles/morgan-stanley-increases-prices-target-044945796.html\"\n    },\n    {\n      \"label\": \"Flex partnership with Teradyne Robotics expansion\",\n      \"url\": \"https://finance.yahoo.com/markets/stocks/articles/flex-flex-expands-partnership-teradyne-201017773.html\"\n    },\n    {\n      \"label\": \"Yahoo Finance — TER +22.7% since last earnings report analysis\",\n      \"url\": \"https://finance.yahoo.com/markets/stocks/articles/teradyne-ter-22-7-since-153018887.html\"\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": "2026-06-03T04:20:37.177Z",
      "raw_content": "<think>The dossier is for TER (Teradyne, Inc.).\nMarket cap: $61.5B -> risk_class: \"core\".\nVerdict: \"range_bound_or_income\".\nScout says: \"No near-term catalyst justifies the multiple expansion beyond what is priced in; AI tailwinds are well-known and broadly distributed. No mispricing edge exists.\"\nAnti-signals: [\"low_liquidity\", \"pump_signals\"] -> Wait, TER is a $61.5B market cap company. Low liquidity and pump signals are likely false positives from the scout, but 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.\" Actually, TER is a large-cap stock with high volume. I will note that anti-signals are likely false positives but still skip due to lack of edge and high valuation.\nLet's score it anyway to be thorough, but the prompt says \"OPTION B (skip) IS THE EXPECTED DEFAULT.\"\nScore breakdown:\nA. Smart Money: 0 (no buys, some sells)\nB. Options Flow: 0 (no whale blocks, modest call bias)\nC. Catalyst: 10 (earnings within 90 days + 4 consecutive positive beats) -> Wait, Q2 FY26 est July 28. That's within 90 days. +5 pts for recent guidance raise. Total 15. Cap 25.\nD. Mispricing: 0 (Forward P/E 41.27 vs sector 28.5, EV/EBITDA 52.8 vs 22. FCF yield 0.49%. All negative for mispricing score.)\nE. Quality: 5 (ROIC 28.75% >= 15%). Gross margin trend null. Net debt/EBITDA -0.39 (net cash) -> +5. Total 10.\nF. Technical: 3 (above 50DMA and 200DMA) + 2 (RSI 40-65) + 1 (MACD bullish cross) = 6.\nTotal score: 0+0+15+0+10+6 = 31.\nScore is < 45. Skip threshold met.\nAlso, anti-signals present.\nEdge check: \"Nothing material. The AI-semiconductor equipment thesis is broadly understood and fully priced in at these multiples.\"\nTherefore, skip.\n\nI will output the skip JSON.\nCheck format:\n{\n  \"skip\": true,\n  \"score\": 31,\n  \"score_breakdown\": {\n    \"smart_money\": 0, \"options_flow\": 0, \"catalyst\": 15,\n    \"mispricing\": 0, \"quality\": 10, \"technical\": 6\n  },\n  \"reason\": \"The dossier lacks a mispricing edge (trading at a 41x forward P/E and 52x EV/EBITDA, well above sector medians) and shows no smart-money conviction buying. With no asymmetric long opportunity identified and elevated IV already pricing in the AI tailwind, this setup does not meet the threshold for publication or paper-tracking.\"\n}\nWait, let's double check the scoring rubric for catalyst:\n10 pts: earnings within 90 days AND last 4 quarters' EPS surprise > 0% -> Yes, Q2 est July 28, 4 consecutive beats.\n5 pts: recent guidance raise -> Yes.\nTotal 15. Cap 25.\nQuality: ROIC >= 15% -> 5 pts. Net debt/EBITDA <= 2x -> 5 pts. Total 10.\nTechnical: above 50/200dma -> 3 pts. RSI 40-65 -> 2 pts. MACD bullish cross -> 1 pt. Total 6.\nSmart money: 0.\nOptions flow: 0.\nMispricing: 0.\nTotal: 31.\nMatches < 45 threshold. Skip is correct.\nI will produce the exact JSON.\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 briefly mention that in the reason or just skip as score < 45. The reason covers it.\nReady.✅\nOutput matches requested format.\nNo extra text.\nProceed. \nLet's verify the JSON structure carefully.\n{\n  \"skip\": true,\n  \"score\": 31,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the 45 threshold due to a complete absence of mispricing (41x forward P/E and 52x EV/EBITDA vs sector medians) and zero smart-money conviction. The AI tailwind is already fully priced in at all-time highs, and the reported anti-signals (liquidity/pump flags) are likely false positives for a $61.5B cap name but further reinforce the need to pass.\"\n}\nLooks solid. Matches all constraints. Output matches exactly.\nProceeds. \nSelf-Correction/Refinement during thought: \nCheck catalyst scoring: \"10 pts: earnings within 90 days AND last 4 quarters' EPS surprise > 0%\" -> dossier says \"4 consecutive positive beats\". So 10 pts.\n\"5 pts: recent guidance raise (last 90 days)\" -> dossier says true. So +5. Total 15.\nCheck quality: \"5 pts: ROIC ≥ 15%\" -> 28.75% -> 5.\n\"5 pts: net debt / EBITDA ≤ 2x\" -> -0.39 -> 5.\nTotal 10.\nCheck technical: \"3 pts: above both 50DMA and 200DMA\" -> true -> 3.\n\"2 pts: RSI 14 in 40-65 zone\" -> 59 -> 2.\n\"1 pt: MACD bullish cross in last 30 days\" -> true -> 1.\nTotal 6.\nSum = 31. Correct.\nAll good. Output matches. \nProceeds. \nOutput Generation. \n[Done] \n```json\n{\n  \"skip\": true,\n  \"score\": 31,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the 45 threshold due to a complete absence of mispricing (41x forward P/E and 52x EV/EBITDA vs sector medians) and zero smart-money conviction. The AI tailwind is already fully priced in at all-time highs, and the reported anti-signals (liquidity/pump flags) are likely false positives for a $61.5B cap name but further reinforce the need to pass.\"\n}\n```\nWait, the prompt says \"OUTPUT ONLY VALID JSON. No surrounding prose, no markdown fences.\"\nI will output raw JSON.\nDone. \nProceeds. \n(Self-Correction/Verification during generation prep)\nCheck scoring rubric caps: Catalyst cap 25, Mispricing cap 15, Quality cap 15, Technical cap 10, Smart Money cap 25, Options cap 10. All within caps.\nCheck risk class: market_cap > $5B -> core.\nCheck thresholds: < 45 -> Skip.\nAll correct.\nOutput matches exactly.\nProceeds. \n[Output Generation] -> *Proceeds*\n</think>\n\n{\n  \"skip\": true,\n  \"score\": 31,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the 45 threshold due to a complete absence of mispricing (41x forward P/E and 52x EV/EBITDA vs sector medians) and zero smart-money conviction. The AI tailwind is already fully priced in at all-time highs, and the reported anti-signals (liquidity/pump flags) are likely false positives for a $61.5B cap name but further reinforce the need to pass.\"\n}",
      "cleaned_content": "{\n  \"skip\": true,\n  \"score\": 31,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the 45 threshold due to a complete absence of mispricing (41x forward P/E and 52x EV/EBITDA vs sector medians) and zero smart-money conviction. The AI tailwind is already fully priced in at all-time highs, and the reported anti-signals (liquidity/pump flags) are likely false positives for a $61.5B cap name but further reinforce the need to pass.\"\n}",
      "tool_calls": null,
      "finish_reason": "stop"
    }
  ],
  "tool_results": [],
  "final_message": "{\n  \"skip\": true,\n  \"score\": 31,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 10,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the 45 threshold due to a complete absence of mispricing (41x forward P/E and 52x EV/EBITDA vs sector medians) and zero smart-money conviction. The AI tailwind is already fully priced in at all-time highs, and the reported anti-signals (liquidity/pump flags) are likely false positives for a $61.5B cap name but further reinforce the need to pass.\"\n}",
  "tool_calls_total": 0,
  "walltime_ms": 30807,
  "stop_reason": "stop",
  "completed_at": "2026-06-03T04:20:37.178Z"
}