{
  "model": "qwen/qwen3.6-35b-a3b",
  "started_at": "2026-06-13T21:07:11.344Z",
  "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: 2026-06-13. 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 2026-06-13. 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 2026-06-13, 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\": \"ARM\",\n  \"company\": \"Arm Holdings plc\",\n  \"investigation_summary\": \"ARM's bullish signals are concentrated in options flow (44% net $ call bias on Jul-17 expiry) and a notable new 13F-initiation by Brad Gerstner's Altimeter Capital ($259M position opened Q1 2026). However, reading every Form 4 filed in the past 30 days reveals that all insider activity is either RSU vesting/exercise (A/M codes), scheduled selling under pre-set Rule 10b5-1 plans, or routine tax-withholding on equity compensation — zero open-market purchases by executives. The CFO sold ~$7.2M of shares at $180-$227 via 10b5-1 plans, well below current prices. Valuation is extreme (124x forward P/E, 379x EV/EBITDA) with the stock near its 52-week high of $427.99 and trading 11% off that peak on a BofA catalyst day. A live FTC investigation adds regulatory risk to the licensing model at exactly the moment ARM is expanding into chip manufacturing.\",\n  \"verdict\": \"range_bound_or_income\",\n  \"confidence_in_data\": 4,\n  \"structure_hints\": [\n    \"cc\",\n    \"strangle\",\n    \"csp\"\n  ],\n  \"business_snapshot\": \"Arm Holdings plc licenses CPU, GPU, and system IP to essentially every major semiconductor company globally — Apple, Qualcomm, Nvidia, AMD, Samsung, MediaTek all build on ARM architecture. The company's royalty-based model generates near-100% gross margins on a capital-light basis (~$3.6B cash, only $491M debt). FY2026 revenue grew ~20% YoY to $4.92B with 97.5% gross margin and 29.5% operating margin, demonstrating the leverage inherent in pure-play IP licensing. The company is pivoting from pure IP licensor toward 'compute subsystems' and an AGI CPU platform — a structural expansion into chip manufacturing that has drawn FTC scrutiny under Section 1 Sherman Act anti-competitive conduct review, per its May 2026 IRANNOTICE filing. Agentic AI workloads are the primary near-term bull thesis: BofA projects $170B server-CPU TAM driven by inference agents requiring x86-to-ARM migration.\",\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\": 10800000,\n      \"notable_13f_holders\": [\n        \"pending — v2\"\n      ],\n      \"politician_recent_buys\": [\n        \"pending — v2\"\n      ]\n    },\n    \"catalyst\": {\n      \"next_earnings_date\": \"2026-07-29\",\n      \"recent_eps_surprise_pattern\": \"4-quarter beat streak: +17.7% (Sep-Q), +5.1% (Dec-Q), +3.6% (Mar-Q); consistent beats but narrowing margins of surprise\",\n      \"guidance_raise_in_last_90d\": false,\n      \"named_catalysts\": [\n        {\n          \"type\": \"sector\",\n          \"description\": \"Bank of America 'Agentic AI' catalyst report projecting $170B server-CPU TAM; ARM named as primary beneficiary as x86 migrations accelerate in inference-heavy workloads. BofA also issued a 37% PT upgrade for ARM specifically.\",\n          \"date_or_window\": \"June 11-12, 2026\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/sectors/technology/articles/nvidia-amd-intel-lead-chip-175651551.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"regulatory\",\n          \"description\": \"FTC Section 1 Sherman Act investigation into ARM's semiconductor licensing practices — inquiry into whether licensing terms restrict third-party access. Newly disclosed May 26, 2026.\",\n          \"date_or_window\": \"Disclosed May 26, 2026; ongoing\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/markets/stocks/articles/ftc-probe-puts-arm-licensing-121353752.html\"\n          ],\n          \"directional_bias\": \"bearish\"\n        },\n        {\n          \"type\": \"sector\",\n          \"description\": \"Chris Bergey (EVP Edge AI) announced NVIDIA RTX Spark platform for agentic era computing — ARM architecture plays in personal computing AI workloads.\",\n          \"date_or_window\": \"June 2, 2026\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/sectors/technology/articles/arm-arm-nvidia-nvda-executive-201551478.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        }\n      ]\n    },\n    \"mispricing\": {\n      \"forward_pe\": 124.13,\n      \"sector_median_forward_pe\": 34.9,\n      \"ev_to_ebitda\": 379.1,\n      \"sector_median_ev_to_ebitda\": 48.5,\n      \"fcf_yield_pct\": 0.185,\n      \"sotp_gap_pct\": null,\n      \"narrative\": \"At 124x forward earnings and 379x EV/EBITDA, ARM trades at a massive premium to the entire semiconductor sector (AMAT: 34.9x fwd P/E; semis average ~25-35x). The premium is justified by AI monetization optionality but priced in assuming near-perfect execution on AGI CPU platform and continued royalty growth — leaving no margin of safety if agentic AI migration slows or FTC licensing constraints emerge.\"\n    },\n    \"quality\": {\n      \"roic_pct\": 11.95,\n      \"gross_margin_trend_pp_yoy\": 97.5,\n      \"net_debt_to_ebitda\": 0.09,\n      \"balance_sheet_grade\": \"A\"\n    },\n    \"technical\": {\n      \"above_50dma\": true,\n      \"above_200dma\": true,\n      \"rsi_14\": 63.8,\n      \"macd_recent_bullish_cross\": false,\n      \"12_1_momentum_vs_sector_pct\": 143.77\n    }\n  },\n  \"price_context\": {\n    \"last_close\": 380.81,\n    \"ytd_return_pct\": 143.77,\n    \"from_52w_high_pct\": 11\n  },\n  \"filings_reviewed\": [\n    {\n      \"form\": \"20-F (Annual Report)\",\n      \"filed\": \"2026-05-26\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1973239/000197323926000097/arm-20260331.htm\",\n      \"key_takeaways\": [\n        \"FY2026 fiscal year ended March 31, 2026 — filed as 20-F (UK company); key risk: FTC anti-competitive licensing inquiry disclosed via IRANNOTICE same day; DreamBig Semiconductor acquisition in Oct 2025; Ampere Computing convertible loans receivable noted; three largest customers represent concentration risk but no specific names disclosed\"\n      ]\n    },\n    {\n      \"form\": \"SD (Specialized Disclosure)\",\n      \"filed\": \"2026-05-26\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1973239/000197323926000099/cye25formsd.htm\",\n      \"key_takeaways\": [\n        \"Conflict minerals disclosure — no Covered Countries sourcing; operational transparency standard\"\n      ]\n    },\n    {\n      \"form\": \"4 (Form 4)\",\n      \"filed\": \"2026-06-04 through 05-19\",\n      \"url\": \"Multiple\",\n      \"key_takeaways\": [\n        \"20+ Form 4s reviewed; ALL recent insider transactions are either RSU vesting/exercise (A/M codes = equity grants, not discretionary purchases) or S=sales under Rule 10b5-1 pre-planned trading plans. Jason Child CFO sold $31,920 shares at $226.54 (May 20) and $21,280 shares at $180 (Apr 22), both under 10b5-1 plans adopted May 30, 2025 — not conviction buying.\"\n      ]\n    }\n  ],\n  \"options_context\": {\n    \"expiries_examined\": [\n      \"2026-07-17\",\n      \"2026-08-21\",\n      \"2026-09-18\"\n    ],\n    \"iv_summary\": \"ATM IV running ~102% at Jul-17 expiry; skew is modest with puts slightly cheaper than calls (put-call ratio 0.82), confirming bullish positioning but with elevated premium available for sellers\",\n    \"notable_skew_or_flow\": \"7 OTM call whale blocks identified on Jul-17; net $16.5M directional call bias; strikes at V/OI >1: $370 (1.43x new positioning vs OI), $400 (1.25x), $470 (3.32x — most extreme OTM call buildup), $500 (1.62x). Put side shows massive OI at $190/$180 strikes but these are likely protective puts rolled from lower prices, not new bearish bets.\"\n  },\n  \"competitive_landscape\": \"ARM faces x86 incumbents Intel and AMD in server CPU market; MIPS and RISC-V as niche alternatives; licensing model creates 'kingmaker' positioning where ARM's architecture decisions shape the competitive landscape. The agentic AI narrative is accelerating datacenter ARM adoption (Graviton/Neoverse vs Xeon/EPYC), which represents a genuine structural shift but is already priced in at 124x fwd P/E.\",\n  \"key_risks\": [\n    \"FTC Section 1 Sherman Act investigation could mandate licensing reforms — existential threat to royalty model\",\n    \"Extreme valuation (124x forward P/E) leaves zero margin of safety on execution slippage\",\n    \"All insider selling via pre-set 10b5-1 plans; no discretionary open-market buys in dataset window\",\n    \"Stock has gone $100→$427→$324→$381 in 6 months — high volatility regime creates tail-risk for long thesis\",\n    \"Regulatory risk elevated precisely as company pivots to chip manufacturing (compute subsystems)\"\n  ],\n  \"what_the_market_might_be_missing\": \"The Brad Gerstner/Altimeter Capital Q1 2026 initiation of a ~$259M position is the closest thing to smart-money conviction in the data — and it was disclosed publicly via news after my knowledge cutoff, suggesting institutional demand from at least one concentrated manager. However, this is not yet confirmed in SEC filings (Q1 13F filed May 15). If re-confirmed as a genuine new long position with no corresponding hedge, that would constitute an edge signal. Otherwise, nothing material was found in filings that the market missed.\",\n  \"anti_signals_present\": [\n    \"litigation\",\n    \"dilution\"\n  ],\n  \"sources\": [\n    {\n      \"label\": \"BofA agentic AI server CPU TAM call\",\n      \"url\": \"https://finance.yahoo.com/sectors/technology/articles/nvidia-amd-intel-lead-chip-175651551.html\"\n    },\n    {\n      \"label\": \"FTC investigation disclosure\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1973239/000197323926000098/irannoticefye26.htm\"\n    },\n    {\n      \"label\": \"ARM FY2026 annual report (20-F)\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1973239/000197323926000097/arm-20260331.htm\"\n    },\n    {\n      \"label\": \"Gerstner Altimeter ARM position Q1 2026\",\n      \"url\": \"https://247wallst.com/investing/2026/06/12/billionaire-brad-gerstner-dumped-all-of-his-alphabet-then-bought-2-stocks-nobody-expected/\"\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": "2026-06-13T21:08:11.849Z",
      "raw_content": "<think>The dossier is for ARM (Arm Holdings plc).\nScout's verdict: `range_bound_or_income`\nScoring inputs:\n- Smart Money: 0 insider buys, material insider selling $10.8M. No 13F confirmation pending. Score: 0. (Penalty: -10 for material insider selling > buying? The rubric says \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". So 0 - 10 = -10, but min is 0 for the category? I'll score it 0.)\n- Options Flow: 44% net $ call bias on Jul-17, 7 OTM call whale blocks, bullish. Score: 4 (whale_call_blocks_otm >= 2) + 2 (net_dollar_bias_pct > 30) = 6.\n- Catalyst: Next earnings 2026-07-29. 4-quarter beat streak. BofA catalyst June 11-12. FTC investigation (bearish). Score: 10 (earnings within 90 days + EPS surprise > 0%? The rubric says \"last 4 quarters' EPS surprise > 0%\". It lists +17.7, +5.1, +3.6. That's 3 quarters. Maybe it implies 4? I'll give 10 for earnings within 90 days.) Wait, the rubric says \"10 pts: earnings within 90 days AND last 4 quarters' EPS surprise > 0%\". I'll give 10.\n- Mispricing: Forward P/E 124.13 vs sector 34.9. EV/EBITDA 379 vs 48.5. FCF yield 0.185%. Score: 0.\n- Quality: ROIC 11.95% (not >= 15%). Gross margin 97.5% (expanding? It says 97.5, but trend_pp_yoy is 97.5? That's probably a typo in the dossier, maybe 97.5% margin. I'll give 0 for ROIC, 0 for margin trend, 5 for net debt/EBITDA 0.09. Total: 5.\n- Technical: Above 50/200 DMA (3 pts). 12-1 momentum 143.77% beating sector (4 pts). RSI 63.8 (2 pts). MACD false. Total: 9.\n\nTotal Score: 0 + 6 + 10 + 0 + 5 + 9 = 30.\nWait, let's recalculate carefully.\nA. Smart Money: 0. (Penalty applies but category caps at 0 usually, or I'll just put 0).\nB. Options Flow: 4 (whale calls) + 2 (bias > 30%) = 6.\nC. Catalyst: 10 (earnings + beats).\nD. Mispricing: 0.\nE. Quality: 5 (net debt/EBITDA <= 2x).\nF. Technical: 3 (above 50/200) + 4 (momentum) + 2 (RSI) = 9.\nTotal: 30.\n\nRisk Class: Market cap isn't explicitly given, but ARM is a large-cap (trading at $380, typically >$100B market cap). I'll assume \"core\".\nThresholds for Core: < 45 -> Skip.\nAnti-signals: litigation, dilution. FTC investigation is a regulatory/legal risk. Dilution risk mentioned.\nThe dossier explicitly says \"Valuation is extreme... zero margin of safety\".\nScout verdict: range_bound_or_income.\nGiven the score of 30 (or even if I stretch it to 40-45), it's below the 45 threshold for paper-tracking. The valuation is absurdly high (124x Fwd P/E, 379x EV/EBITDA), insider selling, FTC probe. No edge. The market knows the AI thesis and has priced it in perfectly. Upside target check: \"If the source-backed upside is less than 20%, skip rather than publishing a low-upside idea.\" BofA PT upgrade is 37%, but that's just one analyst on a high-IV stock.\nI will skip.\n\nLet's double check the scoring rubric to be precise.\nA: 0\nB: 6\nC: 10\nD: 0\nE: 5\nF: 9\nTotal: 30.\nReason: Extreme valuation (124x Fwd P/E), zero insider buying with material insider selling, and an active FTC investigation create a high-risk profile with no margin of safety. The Agentic AI thesis is fully priced in, and the dossier's anti-signals (litigation/regulatory risk) trigger a skip.\n\nI will format the output exactly as requested for a skip.\nCheck structure:\n{\n  \"skip\": true,\n  \"score\": 30,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 6,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 9\n  },\n  \"reason\": \"...\"\n}\nAll numbers match. I'll keep it concise.\nOne minor point: The rubric says \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". I'll just put 0 for smart_money since it can't go negative in the breakdown usually, or I'll put -10 if allowed, but typically scores are capped at 0 for min. I'll stick with 0.\nThe reason should be 1-2 sentences.\n\"Extreme valuation (124x Fwd P/E) and an active FTC investigation leave zero margin of safety, while material insider selling and a lack of discretionary buying negate smart-money support. The Agentic AI tailwind is fully priced in, making this dossier fall well below the publish threshold.\"\nMatches perfectly.\nProceed. \nOutput matches requirement. No extra text.\nCheck date rules: Not relevant for skip.\nCheck structure: JSON only.\nDone. \nLet's produce. \nSelf-Correction/Verification during thought:\nWait, the prompt says \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". I will apply it to the category score if needed, but usually categories are 0-25. I'll just score it 0.\nScore breakdown: smart_money: 0, options_flow: 6, catalyst: 10, mispricing: 0, quality: 5, technical: 9. Sum = 30.\nThresholds: <45 Skip.\nAnti-signals present: litigation, dilution.\nEverything aligns. Output matches exactly. \nProceed. \nOutput Generation. \n```json\n{\n  \"skip\": true,\n  \"score\": 30,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 6,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 9\n  },\n  \"reason\": \"Extreme valuation (124x Fwd P/E) and an active FTC investigation leave zero margin of safety, while material insider selling and a lack of discretionary buying negate smart-money support. The Agentic AI tailwind is fully priced in, making this dossier fall well below the publish threshold.\"\n}\n```\nWait, let's verify the catalyst score. \"earnings within 90 days AND last 4 quarters' EPS surprise > 0%\". The dossier says \"4-quarter beat streak: +17.7% (Sep-Q), +5.1% (Dec-Q), +3.6% (Mar-Q)\". That's only 3 quarters listed, but says 4-quarter streak. I'll give 10.\nTechnical: above 50/200 (3), 12-1 momentum positive & beating sector (4), RSI 40-65 (2). Total 9.\nQuality: net debt/EBITDA 0.09 (5).\nOptions: whale_call_blocks_otm >=2 (4), net_dollar_bias >30 (2). Total 6.\nSum: 30.\nMatches.\nReady. \nOutput matches request.\nProceeds. \n[Output Generation] -> JSON only. \n(Note: I will ensure the JSON is valid and strictly follows the schema.)\nAll good. \nOutput matches. \nProceeds. \n[Final Check of the Prompt]\n\"IF YOU SKIP — output exactly: { \"skip\": true, \"score\": <0-100 composite>, \"score_breakdown\": {...}, \"reason\": \"1-2 sentences why this dossier doesn't support a thesis.\" }\"\nMatches.\nDone. \nOutput Generation. \n(Self-Correction/Refinement during thought)\nI should check if the prompt requires `smart_money` to be negative if penalty applies. It says max 25, usually implies 0 floor. I'll leave it at 0.\nThe reason is concise.\nAll good. \nProceeds. \n[Output Generation] -> *Proceeds*\n</think>\n\n{\n  \"skip\": true,\n  \"score\": 30,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 6,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 9\n  },\n  \"reason\": \"Extreme valuation (124x Fwd P/E) and an active FTC investigation leave zero margin of safety, while material insider selling and a lack of discretionary buying negate smart-money support. The Agentic AI tailwind is fully priced in, making this dossier fall well below the publish threshold.\"\n}",
      "cleaned_content": "{\n  \"skip\": true,\n  \"score\": 30,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 6,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 9\n  },\n  \"reason\": \"Extreme valuation (124x Fwd P/E) and an active FTC investigation leave zero margin of safety, while material insider selling and a lack of discretionary buying negate smart-money support. The Agentic AI tailwind is fully priced in, making this dossier fall well below the publish threshold.\"\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\": 6,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 9\n  },\n  \"reason\": \"Extreme valuation (124x Fwd P/E) and an active FTC investigation leave zero margin of safety, while material insider selling and a lack of discretionary buying negate smart-money support. The Agentic AI tailwind is fully priced in, making this dossier fall well below the publish threshold.\"\n}",
  "tool_calls_total": 0,
  "walltime_ms": 60505,
  "stop_reason": "stop",
  "completed_at": "2026-06-13T21:08:11.849Z"
}