{
  "model": "qwen/qwen3.6-35b-a3b",
  "started_at": "2026-06-21T18:20:14.294Z",
  "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: 2026-06-21. 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 2026-06-21. 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 2026-06-21, it is WRONG — re-read the live tool output.\n\nHere is the dossier from Scout. Decide: skip or draft.\n\n\nLESSONS LEARNED FROM PRIOR CLOSED IDEAS (apply when scoring this candidate):\n  - [anti_signal, conf 5] In low-float, high-short-interest commodity names (~10%+ shorts), pre-earnings positioning can cause large directional spikes (10-15%) that distort entry pricing and skew readings. These spikes are driven by gamma positioning and short-covering, not fundamental information. Enter spreads AFTER the pre-event spike resolves, not before.\n      applies: Applies to commodity-linked names with short interest >10% and market cap <$10B entering earnings. Does NOT apply to large-cap names with low short interest where positioning is more efficient.\n  - [catalyst, conf 5] For pre-revenue mining companies, the key earnings catalyst is operational progress (mine start-up, production targets, permitting status), not EPS. EPS misses are expected and priced in. Market reaction is driven by whether operational milestones are met or delayed, not financial performance. Score catalysts based on operational milestone significance, not EPS surprise potential.\n      applies: Applies to all pre-revenue or early-stage mining/exploration companies. Does NOT apply to established producers where EPS and revenue are the primary drivers.\n  - [anti_signal, conf 5] When RSI(14) > 80 AND the stock has run up >40% in 180 days entering earnings, the probability of mean-reversion is high regardless of implied move richness. The direction_evidence score should be reduced by at least 5 points, and the trade should be avoided unless there is a strong contrarian catalyst.\n      applies: Applies to any earnings play where RSI > 80 and the stock has run up >40% in the prior 180 days. Does NOT apply when the stock is near its 200-DMA or has been consolidating.\n  - [structure, conf 5] If the options chain has null bid/ask data across all strikes, the implied move calculation is unreliable. The scout should flag this as a fatal flaw and reject the trade — do not proceed with assumed implied move metrics.\n      applies: Applies to any options-based trade where the implied move is a key input. Does NOT apply to trades that do not rely on implied move calculations.\n  - [structure, conf 4] For zero-revenue resource companies, earnings reports are operational milestone updates, not financial performance events. Market reaction is typically delayed 3-7 days as analysts digest operational details (mine start-up, production targets, inventory decisions). Use longer-dated options (7-14 DTE) or calendar spreads instead of tight DTE spreads that expire before the full reaction.\n      applies: Applies to all pre-revenue or zero-revenue resource/mining companies where operational milestones (mine start-up, production ramp, permitting) drive valuations. Does NOT apply to established producers with consistent revenue where earnings reactions are immediate.\n  - [smart_money, conf 4] In cybersecurity names during AI-capex peaks, executive sales (even Rule 10b5-1) at prices significantly below current spot should be weighted more heavily than analyst upgrades. Insiders are closer to the data and may be positioning for a plateau.\n      applies: Applies to cybersecurity and AI-infrastructure names during periods of elevated analyst optimism. Does NOT apply when insiders are buying or when sales are at prices near current spot.\n  - [catalyst, conf 4] Historical EPS beats do not guarantee positive stock reaction if the stock has already run up into the event. The 'beat' is priced in, and any 'in-line' result is a disappointment. The catalyst_was_real score should be reduced when the pre-event run-up exceeds 20%.\n      applies: Applies to any earnings play where the stock has run up >20% into the event. Does NOT apply when the stock has been consolidating or declining into the event.\n  - [smart_money, conf 3] In commodity-linked names with institutional holders, put skew is often driven by hedging activity (portfolio insurance, commodity price exposure) rather than directional bearishness. Elevated put skew in these names should be discounted as a signal and treated as structural, not informational.\n      applies: Applies to all commodity-linked names (uranium, copper, lithium, oil) where institutional holders hedge commodity price exposure via options. Does NOT apply to pure-play companies with no commodity exposure where skew reflects genuine directional views.\n\nDOSSIER:\n{\n  \"symbol\": \"IRM\",\n  \"company\": \"Iron Mountain Incorporated\",\n  \"investigation_summary\": \"Iron Mountain is a $38B specialty REIT operating physical records management and rapidly growing AI-adjacent data center colocation businesses. Q1 2026 showed strong results — revenue +21.6% YoY, EPS of $0.60 vs $0.52 estimate (+15.8% beat), data center revenue up 47% YoY to $252M with record leasing driven by AI infrastructure demand. Full-year guidance was raised. However, the stock is at/near all-time highs ($127.83 vs 52w high of $134.09), forward P/E is a rich ~48x, and insiders (CEO Meaney + EVP Kidd) have been selling via pre-planned 10b5-1 plans in May-June near current prices — not buying. Options flow is extremely bullish (PC ratio 0.10, call/dollar bias 98.6%) but this reflects market enthusiasm for the AI buildout story already priced in, not a mispricing. No insider open-market buys detected in 90d.\",\n  \"verdict\": \"range_bound_or_income\",\n  \"confidence_in_data\": 5,\n  \"structure_hints\": [\n    \"cc\",\n    \"strangle\",\n    \"csp\"\n  ],\n  \"business_snapshot\": \"Iron Mountain operates two segments: (1) Global Records and Information Management (RIM) — traditional physical document storage, shredding, and digital conversion serving 240,000+ customers including ~95% of Fortune 1000; this is the cash-cow business generating recurring storage rental revenue. (2) Global Data Center Business — colocation services at purpose-built data centers in the US (Virginia, Arizona) plus Frankfurt JV (20% stake), which is growing rapidly on AI hyperscaler demand. Q1 2026 data center storage rental was $252.5M (+46% YoY); variable power/connectivity revenue was ~$60M of that, also up sharply. The company raised FY26 guidance post-Q1 and highlighted record leasing activity. Management targets exceeding annual data center leasing goals. Revenue mix is roughly 56% storage rental / 44% service; EBITDA margins are healthy at ~34%. The REIT structure requires 90%+ dividend distribution. Capital intensity is very high — $518M capex in Q1 alone, negative FCF FY2025 — as the company builds out data center capacity for hyperscaler tenants.\",\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\": 4250000,\n      \"notable_13f_holders\": [\n        \"pending — v2\"\n      ],\n      \"politician_recent_buys\": [\n        \"pending — v2\"\n      ]\n    },\n    \"catalyst\": {\n      \"next_earnings_date\": \"2026-07-30 (Q2 2026 expected)\",\n      \"recent_eps_surprise_pattern\": \"Q1 2026: $0.60 actual vs $0.518 estimate (+15.8% beat); Q4 2025: $0.61 actual vs $0.588 est (+3.8%); consistent positive surprises in last 4 quarters\",\n      \"guidance_raise_in_last_90d\": true,\n      \"named_catalysts\": [\n        {\n          \"type\": \"earnings\",\n          \"description\": \"Q2 2026 earnings — data center leasing update, margin trajectory for AI segment, FY26 guidance maintenance or further raise\",\n          \"date_or_window\": \"July 30, 2026\",\n          \"source_urls\": [\n            \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000036/irm-20260430.htm\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"product\",\n          \"description\": \"Record data center leasing from AI hyperscalers; management guiding to exceed annual target\",\n          \"date_or_window\": \"Q1 2026 earnings release, May 2026\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/news/iron-mountain-incorporated-irm-posts-170203381.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"sector\",\n          \"description\": \"Global data center colocation market projected at $327B by 2035 (14.5% CAGR); AI buildout driving unprecedented demand for colocation capacity\",\n          \"date_or_window\": \"2026-06-04 Custom Market Insights report\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/sectors/technology/articles/global-data-center-colocation-market-043000782.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        }\n      ]\n    },\n    \"mispricing\": {\n      \"forward_pe\": 47.81,\n      \"sector_median_forward_pe\": 28,\n      \"ev_to_ebitda\": 23.61,\n      \"sector_median_ev_to_ebitda\": 16,\n      \"fcf_yield_pct\": -1.31,\n      \"narrative\": \"IRM is priced for perfection — forward P/E of ~48x vs REIT sector median ~28x, EV/EBITDA of ~24x vs ~16x. The premium is theoretically justified by AI/data center growth but the stock is at all-time highs with no margin of safety. At $127.83 it's within 5% of 52-week high. The FCF yield is negative due to heavy data center capex, which limits traditional REIT income model compounding. No clear near-term catalyst that isn't already priced in.\"\n    },\n    \"quality\": {\n      \"roic_pct\": 4.6,\n      \"gross_margin_trend_pp_yoy\": \"+1.2pp (55.0% vs 53.8%)\",\n      \"net_debt_to_ebitda\": 7.3,\n      \"balance_sheet_grade\": \"B\"\n    },\n    \"technical\": {\n      \"above_50dma\": true,\n      \"above_200dma\": true,\n      \"rsi_14\": 54.4,\n      \"macd_recent_bullish_cross\": false,\n      \"12_1_momentum_vs_sector_pct\": null\n    }\n  },\n  \"price_context\": {\n    \"last_close\": 127.83,\n    \"ytd_return_pct\": 56.5,\n    \"from_52w_high_pct\": -4.67\n  },\n  \"filings_reviewed\": [\n    {\n      \"form\": \"10-K\",\n      \"filed\": \"2026-02-12\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000013/irm-20251231.htm\",\n      \"key_takeaways\": [\n        \"FY2025 revenue $7.25B (+21.6%), net income impacted by Project Matterhorn restructuring costs in prior year comps; data center business disclosed as distinct reporting segment; 240,000+ customers across 61 countries including 95% Fortune 1000; Frankfurt JV (20%); Virginia and Phoenix data center JVs disclosed\"\n      ]\n    },\n    {\n      \"form\": \"10-Q\",\n      \"filed\": \"2026-04-30\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000039/irm-20260331.htm\",\n      \"key_takeaways\": [\n        \"Q1 2026 revenue $1.936B (+21.6% YoY); EPS $0.60 vs $0.518 estimate; data center storage rental $252.5M (+46% YoY); variable rent (power/connectivity) ~$59.9M of data center rev; gross margin 55.0% vs 53.8% YoY; negative FCF ($499M FY2025) due to capex-heavy expansion; total debt $19.7B, equity deficit $(938M); REIT with 90%+ dividend distribution requirement\"\n      ]\n    },\n    {\n      \"form\": \"8-K\",\n      \"filed\": \"2026-05-12\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000055/irm-20260507.htm\",\n      \"key_takeaways\": [\n        \"Annual meeting May 7, 2026: all 11 directors re-elected; advisory say-on-pay passed (223.5M for vs 7.7M against); Deloitte & Touche ratified as auditor for FY26\"\n      ]\n    },\n    {\n      \"form\": \"4\",\n      \"filed\": \"2026-06-02\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000156639126000018/xslF345X06/wk-form4_1780432595.xml\",\n      \"key_takeaways\": [\n        \"CEO William Meaney sold 38,474 shares via option exercise (strike $37) + sales at $125-130 on June 1, 2026; all pursuant to Rule 10b5-1 plan adopted March 14, 2025. Zero open-market purchases by CEO in past 90 days\"\n      ]\n    },\n    {\n      \"form\": \"4\",\n      \"filed\": \"2026-06-02\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000173205826000015/xslF345X06/wk-form4_1780432333.xml\",\n      \"key_takeaways\": [\n        \"Mark Kidd (EVP, GM Data Centers & ALM) sold 6,000 shares at $126.70 on June 1 via Rule 10b5-1 plan adopted March 20, 2025 — no open-market buys\"\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 ~36% at Jul 17; ITM calls (110-125) have elevated IV (~45-54%) reflecting data center volatility premium. Put IV runs 33-37%. The skew is moderately bullish — OI concentration on $120 puts (3,963), $135/$140 calls shows a bull-put-credit-spread or covered-call friendly structure.\",\n    \"notable_skew_or_flow\": \"Extremely bullish UOA: PC ratio 0.10; call/dollar bias 98.6% toward calls ($1.8M call vs $13K put). Whale ITM call block at strike 95 (494 contracts, $1.59M notional) — unusual deep-ITM positioning could be a spread or synthetic long structure. Top open interest: puts at $120 (3,963), calls at $135 (2,257). This reflects broad market enthusiasm for AI/data center buildout narrative rather than idiosyncratic IRM-specific alpha.\"\n  },\n  \"competitive_landscape\": \"IRM competes in physical records storage against smaller regional players with pricing power limited by customer fragmentation. In data centers, it faces Digital Realty Trust, Equinix, CyrusOne, and new entrant Blackstone BXDC (IPO May 2026). IRM's differentiation is its existing land/building assets repurposed for colocation and established hyperscaler relationships. Specialty REIT comparables trade at 16-20x forward EBITDA; IRM's premium multiple reflects AI optionality embedded in data center growth story.\",\n  \"key_risks\": [\n    \"Leverage: $19.7B debt vs ~$21B total assets; net debt/EBITDA of ~7.3x leaves little margin for error if AI buildout demand slows\",\n    \"Data center concentration risk: hyperscaler spending decisions are binary and can reverse quickly — no contractual commitments from largest tenants disclosed in filings\",\n    \"REIT distribution requirement limits retained capital for reinvestment in capex-intensive data center builds; must continuously raise debt/equity to fund expansion\",\n    \"Interest rate sensitivity: floating-rate debt (SOFR-based swaps) means rising rates directly impact financing costs on $19.7B base\",\n    \"Negative FCF in FY2025 ($499M) from heavy data center capex — sustainability depends entirely on continued hyperscaler demand absorption\",\n    \"High insider selling via 10b5-1 plans signals management is not buying at current prices; no open-market purchases detected\"\n  ],\n  \"what_the_market_might_be_missing\": \"Nothing material. The AI buildout angle is well-known and already priced into the 48x forward P/E multiple. Data center leasing records are being reported transparently. No hidden filings, no misread footnotes — this appears to be a fully-priced quality story where the risk/reward on the long side is asymmetric downside from here. The modest IV premium (~36% ATM) supports an income strategy but does not compensate for naked directional exposure at these levels.\",\n  \"anti_signals_present\": [\n    \"dilution\",\n    \"concentration\"\n  ],\n  \"sources\": [\n    {\n      \"label\": \"Fundamentals + price history\",\n      \"url\": \"tool output: fundamentals(ticker), price_history(365)\"\n    },\n    {\n      \"label\": \"10-K FY2025\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000013/irm-20251231.htm\"\n    },\n    {\n      \"label\": \"10-Q Q1 2026\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000039/irm-20260331.htm\"\n    },\n    {\n      \"label\": \"Q1 earnings 8-K\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000036/irm-20260430.htm\"\n    },\n    {\n      \"label\": \"Annual meeting results 8-K\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000055/irm-20260507.htm\"\n    },\n    {\n      \"label\": \"CEO Form 4 (Meaney June sale)\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000156639126000018/xslF345X06/wk-form4_1780432595.xml\"\n    },\n    {\n      \"label\": \"EVP Data Center Form 4 (Kidd June sale)\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000173205826000015/xslF345X06/wk-form4_1780432333.xml\"\n    },\n    {\n      \"label\": \"Options chain + flow Jul17 expiry\",\n      \"url\": \"tool output: options_chain, options_flow(IRM)\"\n    },\n    {\n      \"label\": \"News 90d\",\n      \"url\": \"tool output: news_for_symbol(IRM, 90d)\"\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": "2026-06-21T18:21:10.367Z",
      "raw_content": "<think>The dossier is for IRM (Iron Mountain Incorporated), a $38B REIT with AI/data center colocation exposure.\nScout's verdict: `range_bound_or_income`\nStructure hints: `cc`, `strangle`, `csp`\nAnti-signals: `dilution`, `concentration`\nMarket cap: $38B -> `core` risk class.\nLet's score it based on the rubric.\n\nA. SMART-MONEY CLUSTER (max 25)\n- No open-market purchases. CEO and EVP sold via 10b5-1.\n- Material insider selling > $4.25M.\n- Score: 0 (no buys, heavy selling). Penalty: -10 for material insider selling > buying. Total: -10. (Cap at 0 for scoring purposes usually, but let's stick to rubric: 0 base, -10 penalty -> -10, but rubric says max 25, doesn't specify floor. I'll set to 0 and note penalty, or just 0. Actually, I'll score it as 0.)\n\nB. OPTIONS FLOW / UOA (max 10)\n- PC ratio 0.10, call/dollar bias 98.6%. Bullish.\n- ATM IV ~36%. Put IV 33-37%. Skew moderately bullish.\n- OI concentration at $120 puts and $135/$140 calls.\n- Score: 4 (whale call block at 95, but it's deep ITM, maybe not OTM whale block per rubric. Let's give 3 for bullish IV skew / call bias). Actually, rubric says 4 pts for whale_call_blocks_otm >= 2. Here it's ITM. So 0 for that. 3 pts for bullish IV skew. 2 pts for net_dollar_bias > 30%. Total: 5.\n\nC. CATALYST (max 25)\n- Earnings within 90 days: July 30, 2026.\n- Last 4 quarters EPS surprise > 0%: Yes.\n- Recent guidance raise: Yes.\n- Sector tailwind: AI data center colocation.\n- Score: 10 (earnings + 4q beats) + 5 (guidance raise) = 15. Cap at 25. Let's say 15.\n\nD. MISPRICING (max 15)\n- Forward P/E: 47.81 vs sector median 28. (Not cheap)\n- EV/EBITDA: 23.61 vs sector median 16. (Not cheap)\n- FCF yield: -1.31% (negative)\n- SOTP gap: Not mentioned.\n- Score: 0.\n\nE. QUALITY (max 15)\n- ROIC: 4.6% (needs >= 15%)\n- Gross margin: +1.2pp YoY (needs >= 3pp)\n- Net debt/EBITDA: 7.3x (needs <= 2x)\n- Score: 0.\n\nF. MOMENTUM/TECHNICAL (max 10)\n- Above 50DMA and 200DMA: Yes (+3)\n- 12-1 month return: null\n- RSI 14: 54.4 (in 40-65 zone: +2)\n- MACD bullish cross: false\n- Score: 5.\n\nTotal Score: 0 (A) + 5 (B) + 15 (C) + 0 (D) + 0 (E) + 5 (F) = 25.\nWait, let's adjust A. The rubric says \"Penalty: -10 pts if material insider SELLING > BUYING in dollars\". I'll just put 0 for smart money since it's negative.\nScore is very low (~25).\nRisk class: core (> $5B).\nThresholds for core: < 45 -> Skip.\nAnti-signals present: `dilution`, `concentration`.\nThe dossier explicitly says: \"IRM is priced for perfection... no margin of safety... risk/reward on the long side is asymmetric downside from here.\"\nScout verdict: `range_bound_or_income`.\nGiven the low score, high valuation, negative FCF, heavy leverage, and insider selling, this is a clear skip.\nI will output a skip JSON.\n\nCheck thresholds:\nCore: < 45 Skip.\nScore breakdown: smart_money: 0, options_flow: 5, catalyst: 15, mispricing: 0, quality: 0, technical: 5.\nReason: Stock trades at a steep premium (48x Fwd P/E) with negative FCF and high leverage, while insiders are selling and no open-market buyers exist. The dossier flags dilution and concentration risks, and the valuation leaves no margin of safety for a core publication.\n\nLet's verify the anti-signals: `dilution` and `concentration`. 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.\"\nI will note that the anti-signals (potential equity dilution for capex funding and hyperscaler concentration risk) are material and unaddressed, reinforcing the skip.\n\nConstruct JSON carefully.\nScore: 25\nBreakdown: A:0, B:5, C:15, D:0, E:0, F:5\nReason: Matches the low score and anti-signals.\nStructure: skip true.\nAll constraints met.\nOutput matches schema.\nProceed. \nOne minor check: Could it be a paper track? Score is 25, well below 45. Skip is appropriate.\nI will generate the skip JSON. \nCheck format:\n{\n  \"skip\": true,\n  \"score\": 25,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 5,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 5\n  },\n  \"reason\": \"...\"\n}\nMatches exactly.\nReady. \nOutput matches request. \nProceeds. \n(Self-Correction/Refinement during thought)\nWait, the prompt says: \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". I'll put -10 for smart_money or just 0. I'll stick to 0 as it's a floor for scoring categories usually, but I'll write 0.\nScore: 25.\nAll good.\nOutput matches. \nProceed. \n[Output Generation] -> JSON only. \nChecking date rules: Not applicable for skip, but I'll ensure no dates are generated.\nChecking schema: exactly matches.\nDone. \nOutput Generation. \n```json\n{\n  \"skip\": true,\n  \"score\": 25,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 5,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 5\n  },\n  \"reason\": \"IRM trades at a steep premium (48x Fwd P/E, 24x EV/EBITDA) with negative FCF and high leverage, while insiders are actively selling and no open-market buyers exist. The dossier flags material anti-signals (dilution and customer concentration risk) that are unaddressed, and the valuation leaves no margin of safety for a core publication.\"\n}\n```\nMatches all constraints. Proceeds. \nNote: I will make sure the JSON is valid and strictly follows the requested format. No extra text.\nDone. \nOutput Generation. \n(Self-Correction/Verification during generation prep)\nWait, the prompt says: \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". I'll set smart_money to 0. It's fine.\nThe score is 25.\nThresholds for core: < 45 Skip.\nAll good.\nOutput matches.\nProceeds. \n[Final Check of the Prompt]\n\"ONLY ONE STRUCTURE TYPE. Pick long_stock, csp, OR cc and only fill that sub-object. Leave the others null/omitted.\" -> Not applicable for skip.\n\"IF YOU SKIP — output exactly: { ... }\"\nAll good.\nProceeds. \nOutput Generation. \n[Done]\n</think>\n\n{\n  \"skip\": true,\n  \"score\": 25,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 5,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 5\n  },\n  \"reason\": \"IRM trades at a steep premium (48x Fwd P/E, 24x EV/EBITDA) with negative FCF and high leverage, while insiders are actively selling and no open-market buyers exist. The dossier flags material anti-signals (dilution and customer concentration risk) that are unaddressed, and the valuation leaves no margin of safety for a core publication.\"\n}",
      "cleaned_content": "{\n  \"skip\": true,\n  \"score\": 25,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 5,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 5\n  },\n  \"reason\": \"IRM trades at a steep premium (48x Fwd P/E, 24x EV/EBITDA) with negative FCF and high leverage, while insiders are actively selling and no open-market buyers exist. The dossier flags material anti-signals (dilution and customer concentration risk) that are unaddressed, and the valuation leaves no margin of safety for a core publication.\"\n}",
      "tool_calls": null,
      "finish_reason": "stop"
    }
  ],
  "tool_results": [],
  "final_message": "{\n  \"skip\": true,\n  \"score\": 25,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 5,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 5\n  },\n  \"reason\": \"IRM trades at a steep premium (48x Fwd P/E, 24x EV/EBITDA) with negative FCF and high leverage, while insiders are actively selling and no open-market buyers exist. The dossier flags material anti-signals (dilution and customer concentration risk) that are unaddressed, and the valuation leaves no margin of safety for a core publication.\"\n}",
  "tool_calls_total": 0,
  "walltime_ms": 56073,
  "stop_reason": "stop",
  "completed_at": "2026-06-21T18:21:10.367Z"
}