{
  "model": "qwen/qwen3.6-35b-a3b",
  "started_at": "2026-06-19T12:00:59.693Z",
  "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: 2026-06-19. 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 2026-06-19. 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 2026-06-19, 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\": \"EME\",\n  \"company\": \"EMCOR Group, Inc.\",\n  \"investigation_summary\": \"EME is a large-cap mechanical/electrical construction and facilities services company that has had an extraordinary multi-year run (stock +65% over the last year) driven by AI/data center infrastructure demand thesis. The stock recently hit a new 52-week high of $943.75 in early May, then pulled back ~12% to current $836.59 as broader market sentiment for construction names softened. Forward P/E of 25.6x is reasonable versus EME's own historical range but elevated relative to industrial-construction sector medians given the magnitude of this bull cycle; by contrast peer Quanta Services (PWR) trades at 42x forward earnings with similar structural exposure. The stock is above its 200-DMA and just below its 50-DMA — a consolidatory technical posture rather than an extended one. No insider open-market purchases were found in the trailing period; recent Form 4s reflect routine RSU vestings (Robin Walker-Lee, director) and one small director sale (Carol Lowe, 950 shares at $844.50). Q1 EPS of $6.84 beat consensus by +15.9% on strong backlog conversion (+19.7% YoY revenue growth). The AI/data center angle is real — both the electrical and mechanical segments disclosed significant network/communications market sector revenue acceleration in Q1 (electrical: +47% YoY; mechanical: +86% YoY), reflecting data center construction activity. The upcoming July 30 earnings could serve as a re-rating catalyst if management raises full-year guidance on backlog strength, but current implied volatility environment and the stock's already-premium valuation make this more of an income/setup candidate than a mispricing anomaly.\",\n  \"verdict\": \"range_bound_or_income\",\n  \"confidence_in_data\": 5,\n  \"structure_hints\": [\n    \"csp\",\n    \"cc\"\n  ],\n  \"business_snapshot\": \"EMCOR Group is one of the largest U.S.-focused specialty trade contractors, operating through five reportable segments: US Electrical Construction & Facilities Services (~$1.4B Q1 revenue), US Mechanical Construction & Facilities Services (~$2.0B Q1), US Building Services ($773M Q1), US Industrial Services ($382M Q1), and a recently sold UK building services segment divested in December 2025. The company employs ~44,000 people, primarily union craft workers, serving end markets including data center/communications networks (now the largest single category at ~30% of total revenue following AI-driven buildout), commercial office, healthcare, manufacturing, and government/institutional. EME differentiates through its scale, national footprint, and ability to self-perform complex multi-trade projects — enabling it to capture large mission-critical construction contracts that smaller competitors cannot. The company has grown aggressively via acquisition, most notably the $877M Miller Electric acquisition in February 2025 (electrical contractor, Southeastern US) which added ~$1B+ in annual revenue and significantly expanded high-tech/data center capabilities. EME maintains a strong balance sheet ($916M cash vs. $517M debt), generates robust FCF (~$892M FY2025), and has returned capital via buybacks while reinvesting in tuck-in acquisitions.\",\n  \"scoring_inputs\": {\n    \"smart_money\": {\n      \"insider_open_market_purchases_90d\": [],\n      \"insider_open_market_total_usd_90d\": 0,\n      \"distinct_insider_buyers_90d\": 0,\n      \"ceo_buy_present\": false,\n      \"cfo_buy_present\": false,\n      \"material_insider_selling_90d_usd\": 801775,\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: $6.84 actual vs. $5.90 est (+15.9% beat); Q4 2025: $7.19 actual vs. $6.68 est (+7.6%); Q3 2025: $6.57 actual vs. $6.53 est (+0.6%); Consistent positive beats across trailing four quarters; management has demonstrated ability to exceed on backlog conversion.\",\n      \"guidance_raise_in_last_90d\": false,\n      \"named_catalysts\": [\n        {\n          \"type\": \"earnings\",\n          \"description\": \"Q2 2026 earnings — consensus estimate $7.27 EPS, $4.71B revenue; potential for backlog update and full-year guidance revision given strong Q1 execution\",\n          \"date_or_window\": \"2026-07-30\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/markets/stocks/articles/emcor-group-eme-exceeds-market-215003701.html\"\n          ],\n          \"directional_bias\": \"ambiguous\"\n        },\n        {\n          \"type\": \"product\",\n          \"description\": \"Data center / high-tech manufacturing construction demand — Q1 electrical segment network/communications revenue grew 47% YoY; mechanical segment same category +86% YoY, indicating accelerating AI infrastructure build-out pipeline visibility\",\n          \"date_or_window\": \"Ongoing 2026\",\n          \"source_urls\": [\n            \"https://finance.yahoo.com/markets/stocks/articles/emcor-eme-turning-data-center-191844118.html\"\n          ],\n          \"directional_bias\": \"bullish\"\n        },\n        {\n          \"type\": \"m&a\",\n          \"description\": \"$877M Miller Electric acquisition (Feb 2025) and ~9 other tuck-in acquisitions in FY2025 have meaningfully expanded capacity and backlog; integration execution risk/reward to be assessed at July earnings\",\n          \"date_or_window\": \"Q2 2026 reporting window\",\n          \"source_urls\": [\n            \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000046/eme-20260331.htm\"\n          ],\n          \"directional_bias\": \"bullish\"\n        }\n      ]\n    },\n    \"mispricing\": {\n      \"forward_pe\": 25.61,\n      \"sector_median_forward_pe\": null,\n      \"ev_to_ebitda\": 19.83,\n      \"sector_median_ev_to_ebitda\": null,\n      \"fcf_yield_pct\": 2.39,\n      \"sotp_gap_pct\": null,\n      \"narrative\": \"EME is not cheap but also not dramatically overvalued relative to its growth trajectory — the forward P/E of 25.6x versus its own historical mid-20s range is fair given accelerating AI infrastructure revenues and a record $15.6B backlog (91% above current annual run-rate revenue). By contrast, peer Quanta Services (PWR) trades at 42x forward earnings despite similar secular themes. The delta could suggest EME has more room to re-rate if the data center thesis proves out, but the stock has already captured much of that narrative given its +65% one-year return.\"\n    },\n    \"quality\": {\n      \"roic_pct\": null,\n      \"gross_margin_trend_pp_yoy\": null,\n      \"net_debt_to_ebitda\": 0.5,\n      \"balance_sheet_grade\": \"A\"\n    },\n    \"technical\": {\n      \"above_50dma\": false,\n      \"above_200dma\": true,\n      \"rsi_14\": 49.2,\n      \"macd_recent_bullish_cross\": true,\n      \"12_1_momentum_vs_sector_pct\": null\n    }\n  },\n  \"price_context\": {\n    \"last_close\": 836.59,\n    \"ytd_return_pct\": 26.04,\n    \"from_52w_high_pct\": -12.13\n  },\n  \"filings_reviewed\": [\n    {\n      \"form\": \"10-K\",\n      \"filed\": \"2026-02-26\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000025/eme-20251231.htm\",\n      \"key_takeaways\": [\n        \"FY2025 revenue $17.3B (+19.7% YoY), EPS $25.98 (record); Miller Electric acquisition closed Feb 2025 for $876.8M; backlog at FY-end not disclosed in detail but Q1 2026 filing revealed $15.62B remaining performance obligations as of March 31, 2026; net debt minimal ($516M debt vs $916M cash); strong FCF conversion ~$892M FY2025; UK building services sold Dec 2025 for undisclosed terms, eliminating that revenue segment\"\n      ]\n    },\n    {\n      \"form\": \"10-Q\",\n      \"filed\": \"2026-04-29\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000046/eme-20260331.htm\",\n      \"key_takeaways\": [\n        \"Q1 2026: revenue $4.63B (+19.7% YoY), EPS $6.84 vs. $5.90 est (+15.9% beat); network/communications market sector (data center): electrical segment +47% YoY ($757M), mechanical segment +86% YoY ($614M); high-tech manufacturing revenue declined in both segments, suggesting some project timing; gross margin 18.7% vs. 18.7% prior year — stable despite inflationary labor environment; $15.62B remaining performance obligations (backlog) provides multi-year revenue visibility; one immaterial Q1 acquisition for mechanical/fabrication services in the Western US\"\n      ]\n    },\n    {\n      \"form\": \"8-K\",\n      \"filed\": \"2026-06-04\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000085/eme-20260604.htm\",\n      \"key_takeaways\": [\n        \"Annual shareholder meeting: all nine director nominees re-elected; say-on-pay approved with 87% support (vs. only ~82% at prior year vote — notable increase in opposition); Ernst & Young ratified as auditor for FY2026\"\n      ]\n    },\n    {\n      \"form\": \"4\",\n      \"filed\": \"2026-06-18\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000105/xslF345X06/form4.xml\",\n      \"key_takeaways\": [\n        \"Carol P. Lowe (Director): sold 950 shares at $844.50 on June 17, 2026 — small, routine liquidity transaction\"\n      ]\n    }\n  ],\n  \"options_context\": {\n    \"expiries_examined\": [\n      \"2026-07-17\",\n      \"2026-10-16\",\n      \"2026-12-18\",\n      \"2027-01-15\"\n    ],\n    \"iv_summary\": \"ATM IV on the Jul 17 expiry (28 DTE) is approximately 43.2%, which is elevated relative to EME's historical vol (~30-35% range). OI-weighted puts at $710 strike (202 shares open interest, deep ITM as a hedge) and calls at $900/$940 strikes suggest moderate bullish overlay positioning but no extreme gamma skew in either direction.\",\n    \"notable_skew_or_flow\": \"Put/call aggregate ratio of 1.22 with net dollar bias +$648K toward calls reflects mildly bullish positioning; top open interest call strikes at $900 (141 OI) and $940 (137 OI) vs. put support at $710 (202 OI — likely a portfolio-level hedge). No whale blocks with V/OI > 1 flagged on the current chain. The Jul 17 expiry IV of ~43% is elevated; Aug/Oct expiries would offer better time structure for income strategies given the earnings event falls within the Jul 17 window.\"\n  },\n  \"competitive_landscape\": \"EMCOR competes in electrical and mechanical construction against Quanta Services (PWR, $702, EV/EBITDA 42.8x), Comfort Systems USA (FIX), Sterling Construction (STRL), Dycom Industries (DY), Argan (AGX), MasTec (MTZ), and dozens of regional private contractors. EME's advantage is its scale, national union workforce, and multi-trade self-performance capability on large complex projects — barriers that smaller competitors cannot easily replicate. Its forward P/E of 25.6x sits below peers (PWR at 42x, STRL likely also elevated given +191% YTD run), suggesting relative value within the group but already pricing in a strong growth narrative.\",\n  \"key_risks\": [\n    \"Cyclical construction exposure — commercial/office demand remains challenged despite data center offset; a broad economic slowdown would pressure backlog conversion\",\n    \"Acquisition integration risk from Miller Electric ($877M) and nine other FY2025 tuck-ins — margin compression if execution disappoints\",\n    \"Labor union constraints — EME's heavy reliance on IBEW and UA craft labor creates cost rigidity and potential for labor disputes or work stoppages (as experienced by peers)\",\n    \"Tariff/material price volatility — company explicitly flags supply chain disruptions, tariff impact, and materials pricing as risk factors in its filings\",\n    \"Valuation at historical highs — forward P/E of 25.6x is above the company's own 5-year median; earnings multiple compression possible if macro conditions deteriorate or AI infrastructure buildout slows\",\n    \"Recently sold UK segment (EMCOR UK) — exit from international diversification may reduce long-term revenue stability\"\n  ],\n  \"what_the_market_might_be_missing\": \"The magnitude of Q1 data center revenue acceleration in both the electrical (+47% YoY to $757M) and mechanical (+86% YoY to $614M) segments represents a structural inflection that may be underappreciated by consensus models. At these run-rates, AI infrastructure work could represent $2-3B+ of annual EME revenue within 2 years — more than double prior estimates. However, this thesis is already largely priced into the current multiple, so the 'edge' here is execution certainty (backlog visibility) rather than a dramatic mispricing.\",\n  \"anti_signals_present\": [\n    \"dilution\"\n  ],\n  \"sources\": [\n    {\n      \"label\": \"Fundamentals + Price History\",\n      \"url\": \"fundamentals(EME)\"\n    },\n    {\n      \"label\": \"10-K FY2025\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000025/eme-20251231.htm\"\n    },\n    {\n      \"label\": \"10-Q Q1 2026\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000046/eme-20260331.htm\"\n    },\n    {\n      \"label\": \"8-K Annual Meeting Results Jun 2026\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000085/eme-20260604.htm\"\n    },\n    {\n      \"label\": \"Form 4 - Carol Lowe Sale\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000105/xslF345X06/form4.xml\"\n    },\n    {\n      \"label\": \"Form 4 - Robin Walker-Lee RSU Vesting\",\n      \"url\": \"https://www.sec.gov/Archives/edgar/data/105634/000010563426000101/xslF345X06/form4.xml\"\n    },\n    {\n      \"label\": \"Earnings Calendar + Estimates\",\n      \"url\": \"earnings(EME)\"\n    },\n    {\n      \"label\": \"Options Expiries and Chain Jul 17\",\n      \"url\": \"options_expiries(EME); options_chain(EME, 2026-07-17)\"\n    },\n    {\n      \"label\": \"Technical Indicators\",\n      \"url\": \"technicals(EME)\"\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": "2026-06-19T12:01:32.132Z",
      "raw_content": "<think>The dossier is for EME (EMCOR Group, Inc.), a large-cap mechanical/electrical construction and facilities services company.\nCurrent date: 2026-06-19.\nLast close: $836.59.\nVerdict: range_bound_or_income.\nStructure hints: csp, cc.\nScore breakdown:\nA. Smart-Money Cluster: 0 pts (no insider purchases, some small director sale, no notable 13F/initiation mentioned). Score: 0.\nB. Options Flow / UOA: IV is elevated (~43.2% on Jul 17), put/call ratio 1.22, net dollar bias +$648K to calls. No whale blocks. Moderate bullish overlay. Score: ~3 (bullish IV skew? maybe not, put/call >1. But net dollar bias to calls is positive. I'll give 2 pts for net_dollar_bias > 30%? It says +$648K, not sure if >30%. I'll give 2 pts for moderate bullish positioning / elevated IV). Actually, IV is high, which is good for income. Score: 3.\nC. Catalyst: Earnings on 2026-07-30. Last 4 quarters EPS surprise > 0% (Q1: +15.9%, Q4: +7.6%, Q3: +0.6%, Q2 likely beat). That's 10 pts. Guidance raise? False. Sector tailwind? AI/data center construction demand is real, +47%/$47% YoY electrical, +86% YoY mechanical. That's 5 pts. Total: 15 pts.\nD. Mispricing: Forward P/E 25.6x. Peer PWR at 42x. Not cheap relative to itself, but relative value exists. FCF yield 2.39%. EV/EBITDA 19.83. No deep mispricing. Score: 0.\nE. Quality: Net debt/EBITDA 0.5 (5 pts). ROIC/gross margin null. Score: 5.\nF. Momentum/Technical: Above 200DMA (3 pts). RSI 49.2 (2 pts). MACD bullish cross (1 pt). 12-1 momentum null. Score: 6.\nTotal Score: 0 + 3 + 15 + 0 + 5 + 6 = 29.\nWait, let's re-evaluate carefully.\nA: 0\nB: 3 (elevated IV for income, mild call bias)\nC: 15 (earnings + sector tailwind)\nD: 0\nE: 5 (net debt/ebitda <= 2x)\nF: 6 (above 200dma, RSI 40-65, macd cross)\nTotal: 29.\nRisk Class: Core (market cap > $5B, price $836, likely >$10B mcap).\nThresholds for Core: <45 Skip.\nAnti-signal: \"dilution\" in anti_signals_present. The dossier says \"dilution\" but doesn't specify >10% float. However, the anti-signal gate 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 note it but it's minor.\nAlso, the dossier explicitly says: \"current implied volatility environment and the stock's already-premium valuation make this more of an income/setup candidate than a mispricing anomaly.\"\nScore is 29. Well below 45.\nI will skip.\nReason: Score 29/100. Lacks smart-money conviction, shows no deep mispricing despite strong backlog, and sits at an elevated valuation (25.6x Fwd P/E) that limits upside. The dossier's own verdict correctly identifies it as a range-bound/income candidate rather than an asymmetric opportunity, and the low score reflects the absence of a clear catalyst-driven re-rating setup.\nLet's double check scoring.\nA: 0\nB: 3\nC: 15\nD: 0\nE: 5\nF: 6\nSum: 29.\nMatches threshold <45 -> Skip.\nOutput matches skip format.\nI will produce the JSON.\nCheck structure:\n{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 3,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the publish threshold. The dossier lacks smart-money conviction, shows no deep mispricing despite strong backlog, and sits at an elevated valuation that limits upside. The setup is correctly identified as range-bound/income rather than an asymmetric opportunity.\"\n}\nAll good. I will output exactly this.\nWait, let's verify the anti-signal gate: \"dilution\". The dossier says `anti_signals_present: [\"dilution\"]`. I should acknowledge it or just note it's not material enough to override, but the score is already <45 so skip is automatic. 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'll add a brief note in the reason if needed, but it's fine.\nI will stick to the requested format.\nOne minor thing: The prompt says \"ALL NUMBERS must be drawn from the dossier or computable from it.\"\nScore breakdown matches.\nReady. \nOutput matches exactly.✅\nProceeds. \nSelf-Correction/Verification during thought:\nCheck threshold: Core <45 Skip.\nScore 29.\nReason covers it.\nFormat matches.\nDone. \nOutput generation. \n```json\n{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 3,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the publish threshold. The dossier lacks smart-money conviction, shows no deep mispricing despite strong backlog, and sits at an elevated valuation that limits upside. The setup is correctly identified as range-bound/income rather than an asymmetric opportunity.\"\n}\n```\nWait, the prompt says \"ONLY ONE STRUCTURE TYPE. Pick long_stock, csp, OR cc and only fill that sub-object. Leave the others null/omitted.\" This applies to IF YOU PROCEED. Since I am skipping, I just output the skip JSON.\nAll good.\nOutput matches. \nProceeds. \n[Final Check]\n- Date rules: 2026-06-19 is current. No dates in output needed except score breakdown.\n- Format: exact JSON.\n- Score calculation matches rubric.\n- Skip reason aligns with methodology.\nReady. \nOutput matches response. \nProceeds. \n[Output Generation] -> *Self-Correction/Refinement during generation prep*: \nI should ensure the JSON is strictly valid and matches the prompt's requested skip schema exactly.\n```json\n{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 3,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the publish threshold. The dossier lacks smart-money conviction, shows no deep mispricing despite strong backlog, and sits at an elevated valuation that limits upside. The setup is correctly identified as range-bound/income rather than an asymmetric opportunity.\"\n}\n```\nMatches perfectly. No extra text. Proceeds. \n[Output Generation] (done)\n</think>\n\n{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 3,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the publish threshold. The dossier lacks smart-money conviction, shows no deep mispricing despite strong backlog, and sits at an elevated valuation that limits upside. The setup is correctly identified as range-bound/income rather than an asymmetric opportunity.\"\n}",
      "cleaned_content": "{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 3,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the publish threshold. The dossier lacks smart-money conviction, shows no deep mispricing despite strong backlog, and sits at an elevated valuation that limits upside. The setup is correctly identified as range-bound/income rather than an asymmetric opportunity.\"\n}",
      "tool_calls": null,
      "finish_reason": "stop"
    }
  ],
  "tool_results": [],
  "final_message": "{\n  \"skip\": true,\n  \"score\": 29,\n  \"score_breakdown\": {\n    \"smart_money\": 0,\n    \"options_flow\": 3,\n    \"catalyst\": 15,\n    \"mispricing\": 0,\n    \"quality\": 5,\n    \"technical\": 6\n  },\n  \"reason\": \"Score falls well below the publish threshold. The dossier lacks smart-money conviction, shows no deep mispricing despite strong backlog, and sits at an elevated valuation that limits upside. The setup is correctly identified as range-bound/income rather than an asymmetric opportunity.\"\n}",
  "tool_calls_total": 0,
  "walltime_ms": 32439,
  "stop_reason": "stop",
  "completed_at": "2026-06-19T12:01:32.132Z"
}