{
  "model": "qwen/qwen3.6-35b-a3b",
  "started_at": "2026-05-29T05:18:17.516Z",
  "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": "Here is the dossier from Scout. Decide: skip or draft.\n\n\nLESSONS LEARNED: none yet.\n\nDOSSIER:\n{\n  \"symbol\": \"IRM\",\n  \"company\": \"Iron Mountain Incorporated\",\n  \"investigation_summary\": \"Iron Mountain is a well-run specialty REIT benefiting from an AI-driven data center demand tailwind — Q1 2026 revenue rose 21.6% YoY and Data Center segment revenue surged ~47%. The stock has rallied +52.8% YTD to near all-time highs, and the forward P/E of 47.4x is materially above specialty REIT sector norms (~$20-25x). The Form 4 cluster that triggered this investigation — two filings in 14 days — was actually not open-market insider buying at all; both transactions were pre-planned Rule 10b5-1 sales (Daniel Borges S-sale on May 21, Walter Rakowich S-sale on May 20), both adopted months earlier. This is a critical anti-signal: the investigation trigger produced no smart-money confirmation. With the stock fully valued and near 52-week highs, IV elevated from AI/data-center momentum narrative, and insider selling underway, there is no asymmetric long-side setup. The case supports structured income only.\",\n  \"verdict\": \"range_bound_or_income\",\n  \"confidence_in_data\": 4,\n  \"structure_hints\": [\n    \"cc\",\n    \"strangle\"\n  ],\n  \"business_snapshot\": \"Iron Mountain Incorporated operates as a specialty REIT with two core segments: Global Records and Information Management (RIM — physical records storage, data destruction, digital solutions) and Global Data Center. The company serves 240,000+ customers across 61 countries including ~95% of the Fortune 1000. Q1 2026 results showed total revenues of $1.94B (+21.6% YoY), with Data Center segment posting record leasing activity — management expects to surpass its full-year data center leasing target ahead of schedule, driven by AI infrastructure demand. Storage rental (recurring) generated $1.09B and Services added $841M. Adjusted EBITDA grew 22% and AFFO rose 22%, with FY2026 revenue guidance raised to $7.83-7.93B from prior ~$7.5B range. The company is heavily investing in data center expansion, evident in elevated capex ($518M in Q1 alone) which caused negative FCF (though operating cash flow remains strong at $339M for the quarter). Net debt stands at ~$16.9B against EBITDA of approximately $2.4B (annualized), implying leverage in the 7x area — high but manageable given asset-backed nature of the business.\",\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\": 1012505,\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\",\n      \"recent_eps_surprise_pattern\": \"Q1 2026 EPS $0.60 actual vs $0.518 estimate (+15.76%); Q4 2025 +3.81%; Q3 2025 +2.44%. Consistent positive beats over past four quarters.\",\n      \"guidance_raise_in_last_90d\": true,\n      \"named_catalysts\": [\n        {\n          \"type\": \"earnings\",\n          \"description\": \"Q1 2026 beat: EPS $0.60 (+15.76% vs estimate), revenue $1.94B (+21.6% YoY), AFFO +22%. FY2026 revenue guidance raised to $7.83-7.93B.\",\n          \"date_or_window\": \"April 30, 2026 (reported)\",\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 activity — management expects to exceed full-year 2026 leasing target ahead of schedule, with AI infrastructure demand as primary driver.\",\n          \"date_or_window\": \"Q1 2026 earnings call (April 30, 2026)\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/markets/stocks/articles/record-ai-fueled-data-center-111023643.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"sector\",\n          \"description\": \"AI data center buildout creating sustained structural demand tailwind for IRM's data center segment. Blackstone launching BXDC data center REIT underscores institutional confidence in the space.\",\n          \"date_or_window\": \"Ongoing 2026\",\n          \"source_urls\": [\n            \"https://www.barchart.com/story/news/1934237/blackstone-has-a-new-data-center-reit-its-bxdc-ipo-might-be-a-little-too-late\"\n          ],\n          \"directional_bias\": \"bullish\"\n        }\n      ]\n    },\n    \"mispricing\": {\n      \"forward_pe\": 47.44,\n      \"sector_median_forward_pe\": 22,\n      \"ev_to_ebitda\": 23.5,\n      \"sector_median_ev_to_ebitda\": 16,\n      \"fcf_yield_pct\": -1.32,\n      \"narrative\": \"IRM is not mispriced to the downside — it is richly valued relative to specialty REIT peers, pricing in the AI data center narrative fully. At 47x forward P/E vs sector ~22x, there is no discount; the premium reflects known growth catalysts already priced in. FCF yield negative due to capex intensity of data center buildout.\"\n    },\n    \"quality\": {\n      \"roic_pct\": 4.6,\n      \"gross_margin_trend_pp_yoy\": \"55.0% gross margin in Q1 2026 vs ~53-54% prior year — stable high-margin business\",\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\": 57.7,\n      \"macd_recent_bullish_cross\": false,\n      \"12_1_momentum_vs_sector_pct\": 26\n    }\n  },\n  \"price_context\": {\n    \"last_close\": 126.83,\n    \"ytd_return_pct\": 52.8,\n    \"from_52w_high_pct\": 5.4\n  },\n  \"filings_reviewed\": [\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 revenues $1.94B (+21.6% YoY); Data Center segment driving record leasing\",\n        \"Operating income $395M vs $254M in Q1 2025; net income attributable to IRM $143.7M vs $16M (restructuring charges inflated prior-year comparables)\",\n        \"Net debt $17.1B against ~$9.8B PP&E net, indicating significant leverage\",\n        \"Stockholders' deficit of ($938M); REIT with heavy dividend requirements contributing to deficit\",\n        \"Capex $518M in Q1 — data center buildout is cash-flow negative at the operating level\"\n      ]\n    },\n    {\n      \"form\": \"8-K\",\n      \"filed\": \"2026-04-30\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000036/irm-20260430.htm\",\n      \"key_takeaways\": [\n        \"Formal earnings release filing — FY2026 revenue guidance raised to $7.83-7.93B range\",\n        \"AFFO +22% YoY; record data center leasing quarter\"\n      ]\n    },\n    {\n      \"form\": \"4\",\n      \"filed\": \"2026-05-26\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000172065626000007/xslF345X06/wk-form4_1779826847.xml\",\n      \"key_takeaways\": [\n        \"Daniel Borges (SVP & CAO) S-sale of 7,189 shares at $125.50 — executed under Rule 10b5-1 plan adopted February 19, 2026. This is NOT an open-market conviction buy.\"\n      ]\n    },\n    {\n      \"form\": \"4\",\n      \"filed\": \"2026-05-21\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000059/xslF345X06/wk-form4_1779400533.xml\",\n      \"key_takeaways\": [\n        \"Walter Rakowich (Director) S-sale of 757 shares at $124.45 — executed under Rule 10b5-1 plan adopted June 12, 2024. Pre-planned sale; not indicative of insider conviction.\"\n      ]\n    }\n  ],\n  \"options_context\": {\n    \"expiries_examined\": [\n      \"2026-06-18\"\n    ],\n    \"iv_summary\": \"Call volume dominates put volume (264 vs 85 contracts); net dollar bias $289K bullish; top OI in puts at strikes 65, 55, 70 — all deep OTM, suggesting protective positioning rather than directional speculation\",\n    \"notable_skew_or_flow\": \"Flow is structurally bullish on a call/put basis but no whale blocks detected. Top open interest in far-OTM puts ($65/$55) suggests some investors using protective puts; call Skews elevated given recent momentum from AI narrative.\"\n  },\n  \"competitive_landscape\": \"Iron Mountain competes with broader data center REITs (Equinix, Digital Realty, CyrusOne), physical records management companies (Recall/CORP), and general-purpose REITs expanding into AI infrastructure. IRM's moat is its hybrid model: existing real estate footprint in 61 countries combined with new data center buildout, targeting hyperscale customers needing both colocation and long-term records retention. Blackstone's BXDC IPO signals institutional conviction in the space but also more competition for capital.\",\n  \"key_risks\": [\n    \"Leverage risk: ~7x Net Debt/EBITDA; rising rates increase interest burden on $17B debt stack\",\n    \"Valuation risk: 47x forward P/E is well above sector median — any guidance shortfall triggers multiple compression\",\n    \"Capex intensity: Negative FCF from data center buildout program may continue for years before generating proportional returns\",\n    \"AI demand uncertainty: Data center leasing targets are management projections; hyperscaler spending could slow\",\n    \"Insider selling confirmed via pre-planned 10b5-1 plans — zero open-market insider buying in past 90 days\"\n  ],\n  \"what_the_market_might_be_missing\": \"Nothing material. The data center AI narrative is well-known and extensively covered by analysts (Truist raised target to $140). Insiders are already selling under pre-arranged plans at current prices, signaling they view the stock as fairly or fully valued today. No hidden filing gems found in Q1 10-Q MD&A — results were clean with no going-concern language.\",\n  \"anti_signals_present\": [\n    \"dilution\",\n    \"low_liquidity\"\n  ],\n  \"sources\": [\n    {\n      \"label\": \"Q1 2026 10-Q\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000039/irm-20260331.htm\"\n    },\n    {\n      \"label\": \"Q1 2026 Earnings 8-K\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000036/irm-20260430.htm\"\n    },\n    {\n      \"label\": \"Form 4 — Borges S-sale (10b5-1)\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000172065626000007/xslF345X06/wk-form4_1779826847.xml\"\n    },\n    {\n      \"label\": \"Form 4 — Rakowich S-sale (10b5-1)\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/1020569/000102056926000059/xslF345X06/wk-form4_1779400533.xml\"\n    },\n    {\n      \"label\": \"Record AI Data Center Leasing article\",\n      \"url\": \"https://finance.yahoo.com/markets/stocks/articles/record-ai-fueled-data-center-111023643.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": "2026-05-29T05:19:07.512Z",
      "raw_content": "<think>The dossier is for IRM (Iron Mountain).\nScout verdict: \"range_bound_or_income\"\nAnti-signals present: \"dilution\", \"low_liquidity\"\nWait, let's check the anti-signal gates:\n- \"customer concentration > 30%\" - not mentioned\n- \"convertible/warrant overhang creating dilution > 10% of float\" - dossier says \"dilution\" in anti_signals_present. I need to check if it's a hard gate. The prompt says: \"Convert-warrant overhang creating dilution > 10% of float\" is a gate. The dossier just says \"dilution\". I'll treat it as a potential gate, but let's look at other factors.\n- \"Avg daily volume < $5M (liquidity gate)\" - dossier says \"low_liquidity\". This is a hard gate.\n- \"Going-concern audit qualification\" - not present.\n- \"Pending material litigation\" - not present.\n- \"Accounting irregularities\" - not present.\n\nLet's score it anyway to see, but the anti-signals (dilution, low_liquidity) are strong reasons to skip. 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 skip.\n\nLet's calculate the score to be thorough.\nA. Smart Money: 0 (no open market purchases, insider selling > buying). Penalty -10? The prompt says \"Penalty: −10 pts if material insider SELLING > BUYING in dollars\". So 0 - 10 = -10. But scores are usually capped at 0 for that category? I'll just put 0 or -10, but rubric says max 25. I'll put 0.\nB. Options Flow: 0 (no whale blocks, IV elevated but no specific OI at defended level mentioned strongly, just far OTM puts for protection). Maybe 1 pt for OI building? I'll give 0.\nC. Catalyst: Earnings within 90 days (July 30) + last 4 quarters EPS surprise > 0% (Q1 +15.76%, Q4 +3.81%, Q3 +2.44%, Q2? Not listed but says consistent positive beats over past four quarters). So 10 pts.\nD. Mispricing: Forward P/E 47.44 vs sector 22. Not below. EV/EBITDA 23.5 vs 16. Not below. FCF yield -1.32%. SOTP gap? Not mentioned. 0 pts.\nE. Quality: ROIC 4.6% (<15%), gross margin stable, net debt/EBITDA 7.3 (>2x). 0 pts.\nF. Technical: Above 50DMA & 200DMA (3 pts). 12-1 return positive & beating sector (26% vs sector, so 4 pts). RSI 57.7 (in 40-65 zone, 2 pts). MACD false (0). Total: 9 pts.\n\nTotal score: ~19. Well below 45.\nAnti-signals: dilution, low_liquidity.\nVerdict: range_bound_or_income.\nScout says: \"With the stock fully valued and near 52-week highs, IV elevated from AI/data-center momentum narrative, and insider selling underway, there is no asymmetric long-side setup. The case supports structured income only.\"\nBut the anti-signal \"low_liquidity\" is a hard gate. Also, the score is very low.\nI will skip.\nReason: Low score (<45) driven by rich valuation, negative FCF yield, and zero smart-money confirmation. Additionally, the dossier flags low liquidity and dilution as anti-signals, triggering the skip gate. No actionable setup meets the high-conviction or paper-track thresholds.\n\nCheck format:\n{\n  \"skip\": true,\n  \"score\": <num>,\n  \"score_breakdown\": { ... },\n  \"reason\": \"...\"\n}\nAll numbers from dossier.\nI will produce exactly this.\nLet's double check the scoring rubric caps.\nA: 0\nB: 0\nC: 10\nD: 0\nE: 0\nF: 9\nTotal: 19.\nReason matches guidelines.\nReady. \nOutput matches requested JSON schema.\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 just state the anti-signals trigger the skip.\nAll good. \nProceed. \nOutput generation. \n```json\n{\n  \"skip\": true,\n  \"score\": 19,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 9\n  },\n  \"reason\": \"Score falls well below the 45-point threshold due to rich valuation (47x Fwd P/E), negative FCF yield, and zero smart-money confirmation. The dossier's anti-signals for dilution and low liquidity trigger the hard skip gate, and no income structure clears the bar for publication or paper-tracking.\"\n}\n```\nWait, let's verify the technical score: 3 pts for above 50DMA/200DMA. 4 pts for 12-1 month return positive and beating sector (dossier says 26% vs sector, so yes). 2 pts for RSI 40-65 (57.7). Total 9. Correct.\nCatalyst: 10 pts for earnings within 90 days + last 4 quarters EPS surprise > 0%. Correct.\nTotal 19. Correct.\nThe output matches exactly.\nProceeds. \nNo extra text. Valid JSON.\nDone. \nSelf-Correction/Refinement during thought: \nCheck if \"low_liquidity\" is a hard gate. \"Avg daily volume < $5M (liquidity gate)\". The dossier says `anti_signals_present: [\"dilution\", \"low_liquidity\"]`. I will cite it.\nCheck if I should give options flow points? \"net dollar bias $289K bullish\" but no whale blocks. I'll keep it 0.\nAll good.\nOutput matches. \nProceeds. \n[Output Generation] -> JSON only. \nDone. \n(Self-Correction/Verification during generation prep)\nWait, 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 just state that the anti-signals trigger the skip.\nThe JSON structure is correct.\nI will produce it now. \nAll constraints met.\nOutput matches request.\nDone. \n[Final Check of the Prompt]\n\"OUTPUT ONLY VALID JSON. No surrounding prose, no markdown fences.\"\nI will output raw JSON.\nProceeds. \n{\n  \"skip\": true,\n  \"score\": 19,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 9\n  },\n  \"reason\": \"Score falls well below the 45-point threshold due to rich valuation (47x Fwd P/E), negative FCF yield, and zero smart-money confirmation. The dossier's anti-signals for dilution and low liquidity trigger the hard skip gate, and no income structure clears the bar for publication or paper-tracking.\"\n}\nMatches perfectly. No markdown. Valid JSON. Done. \nProceeds. \n[Output Generation] (simulated)\n{\n  \"skip\": true,\n  \"score\": 19,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 9\n  },\n  \"reason\": \"Score falls well below the 45-point threshold due to rich valuation (47x Fwd P/E), negative FCF yield, and zero smart-money confirmation. The dossier's anti-signals for dilution and low liquidity trigger the hard skip gate, and no income structure clears the bar for publication or paper-tracking.\"\n}\nDone. \n(Self-Correction/Note during thought)\nWait, the prompt says \"OUTPUT ONLY VALID JSON. No surrounding prose, no markdown fences.\"\nI will strictly follow that.\nReady. \nOutput matches. \nProceeds. \n[Final Output Generation] -> *Proceeds*\n</think>\n\n{\n  \"skip\": true,\n  \"score\": 19,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 9\n  },\n  \"reason\": \"Score falls well below the 45-point threshold due to rich valuation (47x Fwd P/E), negative FCF yield, and zero smart-money confirmation. The dossier's anti-signals for dilution and low liquidity trigger the hard skip gate, and no income structure clears the bar for publication or paper-tracking.\"\n}",
      "cleaned_content": "{\n  \"skip\": true,\n  \"score\": 19,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 9\n  },\n  \"reason\": \"Score falls well below the 45-point threshold due to rich valuation (47x Fwd P/E), negative FCF yield, and zero smart-money confirmation. The dossier's anti-signals for dilution and low liquidity trigger the hard skip gate, and no income structure clears the bar for publication or paper-tracking.\"\n}",
      "tool_calls": null,
      "finish_reason": "stop"
    }
  ],
  "tool_results": [],
  "final_message": "{\n  \"skip\": true,\n  \"score\": 19,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 0,\n    \"catalyst\": 10,\n    \"mispricing\": 0,\n    \"quality\": 0,\n    \"technical\": 9\n  },\n  \"reason\": \"Score falls well below the 45-point threshold due to rich valuation (47x Fwd P/E), negative FCF yield, and zero smart-money confirmation. The dossier's anti-signals for dilution and low liquidity trigger the hard skip gate, and no income structure clears the bar for publication or paper-tracking.\"\n}",
  "tool_calls_total": 0,
  "walltime_ms": 49997,
  "stop_reason": "stop",
  "completed_at": "2026-05-29T05:19:07.513Z"
}