[
  {
    "Region": "US",
    "Rank in Region": 1,
    "Ticker": "BRC",
    "Company": "Brady",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 86.8,
    "Theme": "Asset ID/safety",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 18,
    "Valuation Setup": 20,
    "Catalyst Density": 11,
    "Execution/Quality": 12,
    "Hype Penalty": 0,
    "Market Cap USD bn": 3.547,
    "PE Ratio": 9.4543,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Industrial labels, safety identification and asset tracking could become more valuable in dense robotic/data-center operations",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain positioning found; identification and workplace safety products.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.bradyid.com/",
    "Bucket": "Security / safety",
    "Base Alpha Score": 79.5,
    "Latest Price": 89.34,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 3547000000.0,
    "Latest Market Cap USD bn": 3.547,
    "Latest YTD Return %": 13.59,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/BRC/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 79.5,
    "AI2027 Trend Bonus Score": 7.3,
    "AI2027 Trend Tags": "physical_ai,security_sovereign",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,security_sovereign; bonus +7.3 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 2,
    "Ticker": "TWIN",
    "Company": "Twin Disc",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 86.4,
    "Theme": "Power transmission",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 20,
    "Valuation Setup": 20,
    "Catalyst Density": 13,
    "Execution/Quality": 8,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.339,
    "PE Ratio": 12.06,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Transmissions, clutches and control systems could benefit from robotics, automation and specialty cooling machinery spillovers",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; marine/off-highway/industrial power transmission focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.twindisc.com/",
    "Bucket": "Motion / mechanical",
    "Base Alpha Score": 76.4,
    "Latest Price": 21.25,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 338936000.0,
    "Latest Market Cap USD bn": 0.339,
    "Latest YTD Return %": 31.17,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/TWIN/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 76.4,
    "AI2027 Trend Bonus Score": 10.0,
    "AI2027 Trend Tags": "physical_ai,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,power_grid; bonus +10.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 1,
    "Ticker": "PWH.AX",
    "Company": "PWR Holdings",
    "Country": "Australia",
    "Exchange": "ASX",
    "Alpha Score": 86.0,
    "Theme": "Thermal systems",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 23,
    "Discovery Gap": 18,
    "Valuation Setup": 15,
    "Catalyst Density": 18,
    "Execution/Quality": 10,
    "Hype Penalty": 5,
    "Market Cap USD bn": 0.572,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Motorsport/aerospace heat exchangers and electronics cooling could be repurposed before data-center buyers discover them",
    "Current AI Supply-Chain Screen": "No current AI/data-center cooling positioning found in spot checks; official source emphasizes motorsport, automotive, emerging tech, aerospace/defence.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.pwr.com.au/",
    "Bucket": "Thermal / heat transfer",
    "Base Alpha Score": 79.0,
    "Latest Price": 8.56,
    "Latest Currency": "AUD",
    "Latest Market Cap USD": 572099800.86,
    "Latest Market Cap USD bn": 0.572,
    "Latest YTD Return %": 8.35,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/PWH.AX/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 79.0,
    "AI2027 Trend Bonus Score": 7.0,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +7.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 2,
    "Ticker": "GHH.L",
    "Company": "Gooch & Housego",
    "Country": "United Kingdom",
    "Exchange": "LSE",
    "Alpha Score": 83.3,
    "Theme": "Specialty photonics",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 22,
    "Discovery Gap": 18,
    "Valuation Setup": 14,
    "Catalyst Density": 16,
    "Execution/Quality": 8,
    "Hype Penalty": 6,
    "Market Cap USD bn": 0.324,
    "PE Ratio": null,
    "Market Cap Tier": "Small",
    "Latent AI Pathway": "Precision photonics outside data-center transceivers could become useful for sensing, inspection and quantum/edge infrastructure",
    "Current AI Supply-Chain Screen": "No evidence found of CPO/datacenter transceiver supply; official source emphasizes industry, telecoms, aerospace, defense, space and life sciences.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://gandh.com/",
    "Bucket": "Sensors / electronics",
    "Base Alpha Score": 73.3,
    "Latest Price": 824.905,
    "Latest Currency": "GBp",
    "Latest Market Cap USD": 324020237.59,
    "Latest Market Cap USD bn": 0.324,
    "Latest YTD Return %": 33.48,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/GHH.L/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 73.3,
    "AI2027 Trend Bonus Score": 10.0,
    "AI2027 Trend Tags": "compute_factory,packaging_memory_test",
    "AI2027 Trend Note": "AI 2027/current overlay: compute_factory,packaging_memory_test; bonus +10.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 3,
    "Ticker": "BOY.L",
    "Company": "Bodycote",
    "Country": "United Kingdom",
    "Exchange": "LSE",
    "Alpha Score": 81.5,
    "Theme": "Heat treatment",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 18,
    "Discovery Gap": 17,
    "Valuation Setup": 15,
    "Catalyst Density": 13,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.519,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Thermal processing and specialty treatment could enable higher-spec metal components in liquid loops, robotics and industrial automation",
    "Current AI Supply-Chain Screen": "No direct AI/fab/data-center supplier evidence found; heat-treatment services across industrial markets.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.bodycote.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 71.5,
    "Latest Price": 647.0,
    "Latest Currency": "GBp",
    "Latest Market Cap USD": 1518702162.91,
    "Latest Market Cap USD bn": 1.519,
    "Latest YTD Return %": -8.87,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/BOY.L/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 71.5,
    "AI2027 Trend Bonus Score": 10.0,
    "AI2027 Trend Tags": "physical_ai,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,power_grid; bonus +10.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 3,
    "Ticker": "BMI",
    "Company": "Badger Meter",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 81.1,
    "Theme": "Flow/water telemetry",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 22,
    "Discovery Gap": 16,
    "Valuation Setup": 15,
    "Catalyst Density": 15,
    "Execution/Quality": 12,
    "Hype Penalty": 5,
    "Market Cap USD bn": 4.257,
    "PE Ratio": 27.9977,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Smart water metering + flow measurement could monitor liquid cooling water loops and water intensity",
    "Current AI Supply-Chain Screen": "No direct AI/data-center/fab supplier evidence found in spot checks; official materials emphasize water utilities/C&I flow control.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.badgermeter.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 74.3,
    "Latest Price": 144.45,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 4257299095.0,
    "Latest Market Cap USD bn": 4.257,
    "Latest YTD Return %": -18.11,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/BMI/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 74.3,
    "AI2027 Trend Bonus Score": 6.8,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.8 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 4,
    "Ticker": "NTG.DE",
    "Company": "Nabaltec",
    "Country": "Germany",
    "Exchange": "Xetra",
    "Alpha Score": 81.0,
    "Theme": "Ceramic fillers/materials",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 20,
    "Discovery Gap": 19,
    "Valuation Setup": 15,
    "Catalyst Density": 14,
    "Execution/Quality": 8,
    "Hype Penalty": 2,
    "Market Cap USD bn": 0.132,
    "PE Ratio": null,
    "Market Cap Tier": "Small",
    "Latent AI Pathway": "Specialty alumina, ceramic bodies and flame-retardant fillers could become valuable in thermal, safety and enclosure materials",
    "Current AI Supply-Chain Screen": "No direct AI/fab/data-center evidence found; specialty chemicals/ceramics.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.nabaltec.de/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 74.0,
    "Latest Price": 13.25,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 131868792.0,
    "Latest Market Cap USD bn": 0.132,
    "Latest YTD Return %": 6.43,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/NTG.DE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 74.0,
    "AI2027 Trend Bonus Score": 7.0,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +7.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 5,
    "Ticker": "KSB.DE",
    "Company": "KSB",
    "Country": "Germany",
    "Exchange": "Xetra",
    "Alpha Score": 80.7,
    "Theme": "Pumps/valves",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 22,
    "Discovery Gap": 16,
    "Valuation Setup": 15,
    "Catalyst Density": 13,
    "Execution/Quality": 10,
    "Hype Penalty": 4,
    "Market Cap USD bn": 1.795,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Industrial pumps and valves could become critical as liquid cooling and water reuse component demand fragments",
    "Current AI Supply-Chain Screen": "No direct AI/data-center positioning found in spot checks; official source emphasizes pumps/valves for industry, energy, water and mining.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.ksb.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 73.4,
    "Latest Price": 902.0,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 1794707679.46,
    "Latest Market Cap USD bn": 1.795,
    "Latest YTD Return %": -7.01,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/KSB.DE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 73.4,
    "AI2027 Trend Bonus Score": 7.3,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +7.3 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 4,
    "Ticker": "CTS",
    "Company": "CTS Corporation",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 79.5,
    "Theme": "Sensors/electronic components",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 21,
    "Discovery Gap": 18,
    "Valuation Setup": 15,
    "Catalyst Density": 13,
    "Execution/Quality": 10,
    "Hype Penalty": 4,
    "Market Cap USD bn": 1.73,
    "PE Ratio": 25.641,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Sensors, filters, and connectivity components could support edge sensing, thermal monitoring and industrial automation",
    "Current AI Supply-Chain Screen": "No direct AI build-out/fab evidence found in spot checks; automotive/industrial electronics focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.ctscorp.com/",
    "Bucket": "Sensors / electronics",
    "Base Alpha Score": 73.0,
    "Latest Price": 59.06,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 1729871055.0,
    "Latest Market Cap USD bn": 1.73,
    "Latest YTD Return %": 34.69,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/CTS/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 73.0,
    "AI2027 Trend Bonus Score": 6.5,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 6,
    "Ticker": "TTG.L",
    "Company": "TT Electronics",
    "Country": "United Kingdom",
    "Exchange": "LSE",
    "Alpha Score": 78.8,
    "Theme": "Rugged electronics",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 21,
    "Discovery Gap": 17,
    "Valuation Setup": 15,
    "Catalyst Density": 15,
    "Execution/Quality": 8,
    "Hype Penalty": 5,
    "Market Cap USD bn": 0.28,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Sensors, power conversion and electronics assemblies for regulated markets could migrate to rugged edge/thermal-control niches",
    "Current AI Supply-Chain Screen": "No direct AI data-center/fab supplier evidence found; official source emphasizes medical, aerospace, defence, automation and electrification.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.ttelectronics.com/",
    "Bucket": "Sensors / electronics",
    "Base Alpha Score": 71.0,
    "Latest Price": 117.6,
    "Latest Currency": "GBp",
    "Latest Market Cap USD": 280192695.12,
    "Latest Market Cap USD bn": 0.28,
    "Latest YTD Return %": -0.34,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/TTG.L/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 71.0,
    "AI2027 Trend Bonus Score": 7.8,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +7.8 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 5,
    "Ticker": "LNN",
    "Company": "Lindsay",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 78.4,
    "Theme": "Water/irrigation telemetry",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 18,
    "Discovery Gap": 19,
    "Valuation Setup": 20,
    "Catalyst Density": 14,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.242,
    "PE Ratio": 16.3655,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Irrigation automation, remote monitoring and water-efficiency systems could translate into scarce-water site management know-how",
    "Current AI Supply-Chain Screen": "No direct AI supply chain evidence found; primarily irrigation and infrastructure equipment.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.lindsay.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 76.6,
    "Latest Price": 111.15,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 1241824236.0,
    "Latest Market Cap USD bn": 1.242,
    "Latest YTD Return %": -8.25,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/LNN/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 76.6,
    "AI2027 Trend Bonus Score": 1.8,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.8 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 6,
    "Ticker": "AZZ",
    "Company": "AZZ",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 78.3,
    "Theme": "Metal coatings/infrastructure",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 19,
    "Discovery Gap": 17,
    "Valuation Setup": 20,
    "Catalyst Density": 15,
    "Execution/Quality": 10,
    "Hype Penalty": 2,
    "Market Cap USD bn": 4.5,
    "PE Ratio": 13.5092,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Hot-dip galvanizing and coil coating could protect steel structures, poles, enclosures and distributed infrastructure as compute becomes more physical",
    "Current AI Supply-Chain Screen": "No direct AI-supplier positioning found in company spot checks; critical infrastructure coatings focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.azz.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 77.8,
    "Latest Price": 143.6,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 4500000000.0,
    "Latest Market Cap USD bn": 4.5,
    "Latest YTD Return %": 30.85,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/AZZ/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 77.8,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 7,
    "Ticker": "MWA",
    "Company": "Mueller Water Products",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 78.2,
    "Theme": "Water infrastructure",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 20,
    "Discovery Gap": 17,
    "Valuation Setup": 17,
    "Catalyst Density": 14,
    "Execution/Quality": 11,
    "Hype Penalty": 2,
    "Market Cap USD bn": 4.273,
    "PE Ratio": 21.3701,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Water distribution, leak detection and smart utility products could be relevant as AI campuses pressure municipal water networks",
    "Current AI Supply-Chain Screen": "No direct AI/data-center revenue positioning found; mainly water infrastructure and utility products.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.muellerwaterproducts.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 77.7,
    "Latest Price": 24.75,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 4273000000.0,
    "Latest Market Cap USD bn": 4.273,
    "Latest YTD Return %": 3.38,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/MWA/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 77.7,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 7,
    "Ticker": "ROR.L",
    "Company": "Rotork",
    "Country": "United Kingdom",
    "Exchange": "LSE",
    "Alpha Score": 78.1,
    "Theme": "Flow control/actuators",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 21,
    "Discovery Gap": 16,
    "Valuation Setup": 15,
    "Catalyst Density": 14,
    "Execution/Quality": 11,
    "Hype Penalty": 4,
    "Market Cap USD bn": 3.321,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Actuators and flow-control systems could fit coolant, water and industrial control loops",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; flow-control products for industrial process markets.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.rotork.com/",
    "Bucket": "Other",
    "Base Alpha Score": 73.0,
    "Latest Price": 291.6,
    "Latest Currency": "GBp",
    "Latest Market Cap USD": 3321424708.25,
    "Latest Market Cap USD bn": 3.321,
    "Latest YTD Return %": -10.39,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ROR.L/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 73.0,
    "AI2027 Trend Bonus Score": 5.1,
    "AI2027 Trend Tags": "physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai; bonus +5.1 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 8,
    "Ticker": "GGG",
    "Company": "Graco",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 77.3,
    "Theme": "Fluid handling",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 23,
    "Discovery Gap": 14,
    "Valuation Setup": 13,
    "Catalyst Density": 14,
    "Execution/Quality": 12,
    "Hype Penalty": 5,
    "Market Cap USD bn": 12.154,
    "PE Ratio": 26.2614,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Precision equipment to move, meter, control and dispense fluids/powders could support future coolant, sealant or thermal-fluid handling",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure positioning found in spot checks; broad industrial fluid handling.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.graco.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 71.0,
    "Latest Price": 73.23,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 12154000000.0,
    "Latest Market Cap USD bn": 12.154,
    "Latest YTD Return %": -11.39,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/GGG/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 71.0,
    "AI2027 Trend Bonus Score": 6.3,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.3 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 8,
    "Ticker": "STM.DE",
    "Company": "Stabilus",
    "Country": "Germany",
    "Exchange": "Xetra",
    "Alpha Score": 77.0,
    "Theme": "Motion control",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 17,
    "Valuation Setup": 14,
    "Catalyst Density": 12,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.441,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Gas springs, dampers and electromechanical motion could support robotics, server-handling aids and automation hardware",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; motion control across automotive/industrial.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.stabilus.com/",
    "Bucket": "Motion / mechanical",
    "Base Alpha Score": 67.0,
    "Latest Price": 15.4,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 441332634.6,
    "Latest Market Cap USD bn": 0.441,
    "Latest YTD Return %": -24.88,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/STM.DE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.0,
    "AI2027 Trend Bonus Score": 10.0,
    "AI2027 Trend Tags": "compute_factory,physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: compute_factory,physical_ai; bonus +10.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 9,
    "Ticker": "TKR",
    "Company": "Timken",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 77.0,
    "Theme": "Bearings/motion",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 18,
    "Discovery Gap": 14,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 12,
    "Hype Penalty": 1,
    "Market Cap USD bn": 9.537,
    "PE Ratio": 28.2979,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Bearings and motion products could be used in robotics, automated warehouses, cooling equipment and specialty manufacturing",
    "Current AI Supply-Chain Screen": "No direct AI supply chain positioning found; broad industrial and engineered bearings.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.timken.com/",
    "Bucket": "Motion / mechanical",
    "Base Alpha Score": 69.2,
    "Latest Price": 137.23,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 9537000000.0,
    "Latest Market Cap USD bn": 9.537,
    "Latest YTD Return %": 59.03,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/TKR/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 69.2,
    "AI2027 Trend Bonus Score": 7.8,
    "AI2027 Trend Tags": "physical_ai,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,power_grid; bonus +7.8 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 9,
    "Ticker": "BFSA.DE",
    "Company": "Befesa",
    "Country": "Luxembourg/Germany",
    "Exchange": "Xetra",
    "Alpha Score": 76.7,
    "Theme": "Metals recycling",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 20,
    "Valuation Setup": 17,
    "Catalyst Density": 14,
    "Execution/Quality": 8,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.464,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Steel dust and aluminum residue recycling could matter as AI build-out increases metal circularity demand",
    "Current AI Supply-Chain Screen": "No direct AI supplier evidence found; recycling of steel dust and aluminum salt slags.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.befesa.com/",
    "Bucket": "Recycling / critical materials",
    "Base Alpha Score": 75.7,
    "Latest Price": 31.45,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 1464191926.79,
    "Latest Market Cap USD bn": 1.464,
    "Latest YTD Return %": 4.97,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/BFSA.DE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 75.7,
    "AI2027 Trend Bonus Score": 1.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 10,
    "Ticker": "AMG.AS",
    "Company": "AMG Critical Materials",
    "Country": "Netherlands",
    "Exchange": "Euronext Amsterdam",
    "Alpha Score": 76.2,
    "Theme": "Critical materials",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 17,
    "Valuation Setup": 15,
    "Catalyst Density": 15,
    "Execution/Quality": 8,
    "Hype Penalty": 4,
    "Market Cap USD bn": 1.364,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Vanadium, lithium and specialty materials could support energy storage/material bottlenecks adjacent to compute build-outs",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure supplier evidence found; critical materials and technologies.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://amg-nv.com/",
    "Bucket": "Recycling / critical materials",
    "Base Alpha Score": 69.7,
    "Latest Price": 32.22,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 1364496582.87,
    "Latest Market Cap USD bn": 1.364,
    "Latest YTD Return %": 8.92,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/AMG.AS/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 69.7,
    "AI2027 Trend Bonus Score": 6.5,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 11,
    "Ticker": "XTC.TO",
    "Company": "Exco Technologies",
    "Country": "Canada",
    "Exchange": "TSX",
    "Alpha Score": 76.0,
    "Theme": "Tooling/components",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 19,
    "Valuation Setup": 15,
    "Catalyst Density": 12,
    "Execution/Quality": 7,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.201,
    "PE Ratio": null,
    "Market Cap Tier": "Small",
    "Latent AI Pathway": "Die-casting tooling, extrusion tools and engineered components could support thermal housings and industrial reshoring",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; tooling, die-casting and automotive components.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.excocorp.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 69.0,
    "Latest Price": 7.57,
    "Latest Currency": "CAD",
    "Latest Market Cap USD": 200794630.94,
    "Latest Market Cap USD bn": 0.201,
    "Latest YTD Return %": 10.83,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/XTC.TO/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 69.0,
    "AI2027 Trend Bonus Score": 7.0,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +7.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 10,
    "Ticker": "ATRO",
    "Company": "Astronics",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 75.8,
    "Theme": "Aerospace electronics/test",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 18,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 6,
    "Hype Penalty": 1,
    "Market Cap USD bn": 3.512,
    "PE Ratio": -977.375,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Aerospace power, lighting, connectivity and test systems could be adapted to rugged edge compute and high-reliability electronics niches",
    "Current AI Supply-Chain Screen": "No direct AI build-out evidence found; aerospace/defense/test products.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.astronics.com/",
    "Bucket": "Sensors / electronics",
    "Base Alpha Score": 67.3,
    "Latest Price": 71.17,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 3512000000.0,
    "Latest Market Cap USD bn": 3.512,
    "Latest YTD Return %": 57.53,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ATRO/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.3,
    "AI2027 Trend Bonus Score": 8.5,
    "AI2027 Trend Tags": "packaging_memory_test,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: packaging_memory_test,power_grid; bonus +8.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 11,
    "Ticker": "CXT",
    "Company": "Crane NXT",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 75.6,
    "Theme": "Security/authentication tech",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 17,
    "Discovery Gap": 17,
    "Valuation Setup": 19,
    "Catalyst Density": 11,
    "Execution/Quality": 8,
    "Hype Penalty": 1,
    "Market Cap USD bn": 2.757,
    "PE Ratio": 16.9074,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Authentication, sensing and secure transaction technology could support access, trusted hardware and anti-counterfeit supply-chain needs",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain positioning found; payment/security/authentication technology.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.cranenxt.com/",
    "Bucket": "Security / safety",
    "Base Alpha Score": 71.6,
    "Latest Price": 49.19,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 2757000000.0,
    "Latest Market Cap USD bn": 2.757,
    "Latest YTD Return %": 3.06,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/CXT/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 71.6,
    "AI2027 Trend Bonus Score": 4.0,
    "AI2027 Trend Tags": "security_sovereign",
    "AI2027 Trend Note": "AI 2027/current overlay: security_sovereign; bonus +4.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 12,
    "Ticker": "KOMN.SW",
    "Company": "Komax",
    "Country": "Switzerland",
    "Exchange": "SIX",
    "Alpha Score": 75.5,
    "Theme": "Wire processing automation",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 16,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 8,
    "Hype Penalty": 3,
    "Market Cap USD bn": 0.332,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Wire-processing automation could support high-volume harness manufacturing for robotics, power and industrial modules",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; wire processing automation.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.komaxgroup.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 65.5,
    "Latest Price": 44.5,
    "Latest Currency": "CHF",
    "Latest Market Cap USD": 332258665.2,
    "Latest Market Cap USD bn": 0.332,
    "Latest YTD Return %": -31.64,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/KOMN.SW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 65.5,
    "AI2027 Trend Bonus Score": 10.0,
    "AI2027 Trend Tags": "physical_ai,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,power_grid; bonus +10.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 12,
    "Ticker": "ESAB",
    "Company": "ESAB",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 74.8,
    "Theme": "Fabrication/welding",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 15,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 5.765,
    "PE Ratio": 25.6389,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Fabrication systems and specialty welding could support industrial reshoring and modular infrastructure fabrication",
    "Current AI Supply-Chain Screen": "No direct AI/data-center/fab evidence found; welding/cutting/fabrication focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://esab.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 72.9,
    "Latest Price": 86.56,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 5764975018.0,
    "Latest Market Cap USD bn": 5.765,
    "Latest YTD Return %": -23.11,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ESAB/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 72.9,
    "AI2027 Trend Bonus Score": 1.9,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.9 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 13,
    "Ticker": "MELE.BR",
    "Company": "Melexis",
    "Country": "Belgium",
    "Exchange": "Euronext Brussels",
    "Alpha Score": 74.7,
    "Theme": "Automotive sensors",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 19,
    "Discovery Gap": 15,
    "Valuation Setup": 13,
    "Catalyst Density": 13,
    "Execution/Quality": 9,
    "Hype Penalty": 5,
    "Market Cap USD bn": 3.538,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Magnetic/current/position sensor ICs for automotive could be repurposed for power and thermal sensing, but not AI accelerators",
    "Current AI Supply-Chain Screen": "No direct AI data-center semiconductor evidence found; fabless sensors/driver ICs mostly automotive.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.melexis.com/",
    "Bucket": "Sensors / electronics",
    "Base Alpha Score": 64.7,
    "Latest Price": 77.1,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 3538173944.33,
    "Latest Market Cap USD bn": 3.538,
    "Latest YTD Return %": 31.23,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/MELE.BR/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.7,
    "AI2027 Trend Bonus Score": 10.0,
    "AI2027 Trend Tags": "compute_factory,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: compute_factory,power_grid; bonus +10.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 14,
    "Ticker": "LEHN.SW",
    "Company": "LEM Holding",
    "Country": "Switzerland",
    "Exchange": "SIX",
    "Alpha Score": 74.3,
    "Theme": "Current sensing",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 20,
    "Discovery Gap": 16,
    "Valuation Setup": 13,
    "Catalyst Density": 14,
    "Execution/Quality": 9,
    "Hype Penalty": 5,
    "Market Cap USD bn": 0.613,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Current and voltage sensors could become useful in high-voltage power monitoring and robotics, before AI-specific demand appears",
    "Current AI Supply-Chain Screen": "No direct AI-data-center supplier evidence found; official source emphasizes current/voltage sensing for EV, grid, automation and power supplies.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.lem.com/",
    "Bucket": "Sensors / electronics",
    "Base Alpha Score": 64.3,
    "Latest Price": 411.0,
    "Latest Currency": "CHF",
    "Latest Market Cap USD": 612511504.05,
    "Latest Market Cap USD bn": 0.613,
    "Latest YTD Return %": 42.96,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/LEHN.SW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.3,
    "AI2027 Trend Bonus Score": 10.0,
    "AI2027 Trend Tags": "physical_ai,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,power_grid; bonus +10.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 13,
    "Ticker": "KMT",
    "Company": "Kennametal",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 74.1,
    "Theme": "Cutting tools/materials",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 18,
    "Discovery Gap": 16,
    "Valuation Setup": 13,
    "Catalyst Density": 12,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 2.523,
    "PE Ratio": 30.2587,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Carbide tooling and wear-resistant materials could enable reshoring of precision thermal/mechanical components",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure exposure found; broad tooling and materials end-markets.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.kennametal.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 67.6,
    "Latest Price": 33.11,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 2523000000.0,
    "Latest Market Cap USD bn": 2.523,
    "Latest YTD Return %": 14.21,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/KMT/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.6,
    "AI2027 Trend Bonus Score": 6.5,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 15,
    "Ticker": "IMI.L",
    "Company": "IMI",
    "Country": "United Kingdom",
    "Exchange": "LSE",
    "Alpha Score": 74.0,
    "Theme": "Precision fluid control",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 21,
    "Discovery Gap": 14,
    "Valuation Setup": 12,
    "Catalyst Density": 14,
    "Execution/Quality": 12,
    "Hype Penalty": 5,
    "Market Cap USD bn": 9.346,
    "PE Ratio": null,
    "Market Cap Tier": "Large",
    "Latent AI Pathway": "Precision valves and fluid-control systems could move into cooling, water treatment or industrial automation components",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure supplier evidence found; precision engineering across industrial sectors.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.imiplc.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 68.0,
    "Latest Price": 2750.0,
    "Latest Currency": "GBp",
    "Latest Market Cap USD": 9345704753.74,
    "Latest Market Cap USD bn": 9.346,
    "Latest YTD Return %": 10.0,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/IMI.L/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 68.0,
    "AI2027 Trend Bonus Score": 6.0,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 14,
    "Ticker": "DXPE",
    "Company": "DXP Enterprises",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 73.6,
    "Theme": "Industrial distribution/pumps",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 18,
    "Valuation Setup": 13,
    "Catalyst Density": 12,
    "Execution/Quality": 9,
    "Hype Penalty": 3,
    "Market Cap USD bn": 2.452,
    "PE Ratio": 34.4421,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Distributor/integrator of pumps, rotating equipment and MRO could aggregate fragmented cooling/water components if demand spills over",
    "Current AI Supply-Chain Screen": "No direct AI-specific supplier evidence found; broad industrial distribution.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.dxpe.com/",
    "Bucket": "Distribution / MRO",
    "Base Alpha Score": 67.1,
    "Latest Price": 158.15,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 2452000000.0,
    "Latest Market Cap USD bn": 2.452,
    "Latest YTD Return %": 46.82,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/DXPE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.1,
    "AI2027 Trend Bonus Score": 6.5,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 16,
    "Ticker": "NOEJ.DE",
    "Company": "NORMA Group",
    "Country": "Germany",
    "Exchange": "Xetra",
    "Alpha Score": 73.5,
    "Theme": "Fluid connectors/clamps",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 20,
    "Discovery Gap": 18,
    "Valuation Setup": 16,
    "Catalyst Density": 13,
    "Execution/Quality": 8,
    "Hype Penalty": 3,
    "Market Cap USD bn": 0.575,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Engineered joining and fluid connectors could be used in liquid loops, compact manifolds and industrial automation",
    "Current AI Supply-Chain Screen": "No direct AI-data-center supplier evidence found; industrial joining technology.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.normagroup.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 72.0,
    "Latest Price": 17.86,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 575374074.76,
    "Latest Market Cap USD bn": 0.575,
    "Latest YTD Return %": 21.33,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/NOEJ.DE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 72.0,
    "AI2027 Trend Bonus Score": 1.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 15,
    "Ticker": "SXI",
    "Company": "Standex International",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 73.1,
    "Theme": "Sensors/magnetics/components",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 21,
    "Discovery Gap": 16,
    "Valuation Setup": 8,
    "Catalyst Density": 13,
    "Execution/Quality": 10,
    "Hype Penalty": 4,
    "Market Cap USD bn": 4.333,
    "PE Ratio": 60.3386,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Reed sensors, magnetics, electronics and hydraulics could be useful in liquid-cooling instrumentation and robotics",
    "Current AI Supply-Chain Screen": "No direct AI/data-center/fab evidence found; diversified electronics/engraving/specialty solutions.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.standex.com/",
    "Bucket": "Sensors / electronics",
    "Base Alpha Score": 63.3,
    "Latest Price": 301.25,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 4333000000.0,
    "Latest Market Cap USD bn": 4.333,
    "Latest YTD Return %": 33.97,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/SXI/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 63.3,
    "AI2027 Trend Bonus Score": 9.8,
    "AI2027 Trend Tags": "physical_ai,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,power_grid; bonus +9.8 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 17,
    "Ticker": "WJX.TO",
    "Company": "Wajax",
    "Country": "Canada",
    "Exchange": "TSX",
    "Alpha Score": 73.0,
    "Theme": "Industrial distribution",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 18,
    "Valuation Setup": 15,
    "Catalyst Density": 11,
    "Execution/Quality": 7,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.478,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Industrial equipment distribution could capture fragmented pumps, powertrain, MRO and service demand in secondary markets",
    "Current AI Supply-Chain Screen": "No direct AI supplier evidence found; equipment, power systems and industrial components distribution.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.wajax.com/",
    "Bucket": "Distribution / MRO",
    "Base Alpha Score": 66.0,
    "Latest Price": 31.2,
    "Latest Currency": "CAD",
    "Latest Market Cap USD": 478182242.6,
    "Latest Market Cap USD bn": 0.478,
    "Latest YTD Return %": 12.88,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/WJX.TO/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.0,
    "AI2027 Trend Bonus Score": 7.0,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +7.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 18,
    "Ticker": "DSCV.L",
    "Company": "discoverIE Group",
    "Country": "United Kingdom",
    "Exchange": "LSE",
    "Alpha Score": 73.0,
    "Theme": "Custom electronics",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 20,
    "Discovery Gap": 18,
    "Valuation Setup": 15,
    "Catalyst Density": 14,
    "Execution/Quality": 9,
    "Hype Penalty": 4,
    "Market Cap USD bn": 0.929,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Custom electronic components for industrial sensing/control could be adapted for coolant sensing and edge device telemetry",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure/fab evidence found; custom electronics for industrial applications.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.discoverieplc.com/",
    "Bucket": "Sensors / electronics",
    "Base Alpha Score": 72.0,
    "Latest Price": 646.0,
    "Latest Currency": "GBp",
    "Latest Market Cap USD": 929438602.8,
    "Latest Market Cap USD bn": 0.929,
    "Latest YTD Return %": 9.31,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/DSCV.L/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 72.0,
    "AI2027 Trend Bonus Score": 1.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 19,
    "Ticker": "KGX.DE",
    "Company": "KION Group",
    "Country": "Germany",
    "Exchange": "Xetra",
    "Alpha Score": 72.9,
    "Theme": "Intralogistics",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 15,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 9,
    "Hype Penalty": 2,
    "Market Cap USD bn": 5.779,
    "PE Ratio": null,
    "Market Cap Tier": "Mid/large",
    "Latent AI Pathway": "Forklifts, warehouse automation and supply-chain systems could benefit from physical AI logistics build-out",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain supplier evidence found; intralogistics and automation focus.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.kiongroup.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 67.2,
    "Latest Price": 41.74,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 5778982800.0,
    "Latest Market Cap USD bn": 5.779,
    "Latest YTD Return %": -40.2,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/KGX.DE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.2,
    "AI2027 Trend Bonus Score": 5.7,
    "AI2027 Trend Tags": "physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai; bonus +5.7 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 16,
    "Ticker": "NGVT",
    "Company": "Ingevity",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 72.8,
    "Theme": "Specialty chemicals/carbon",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 17,
    "Discovery Gap": 18,
    "Valuation Setup": 14,
    "Catalyst Density": 12,
    "Execution/Quality": 7,
    "Hype Penalty": 1,
    "Market Cap USD bn": 2.551,
    "PE Ratio": -42.3207,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Activated carbon and specialty materials could support filtration, adsorption, coatings or battery-adjacent infrastructure niches",
    "Current AI Supply-Chain Screen": "No direct AI/data-center/fab evidence found; specialty chemicals/materials focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.ingevity.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 66.3,
    "Latest Price": 71.53,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 2550851178.0,
    "Latest Market Cap USD bn": 2.551,
    "Latest YTD Return %": 19.04,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/NGVT/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.3,
    "AI2027 Trend Bonus Score": 6.5,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 17,
    "Ticker": "AIT",
    "Company": "Applied Industrial Technologies",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 72.7,
    "Theme": "Industrial distribution/motion",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 13,
    "Valuation Setup": 14,
    "Catalyst Density": 12,
    "Execution/Quality": 10,
    "Hype Penalty": 3,
    "Market Cap USD bn": 12.228,
    "PE Ratio": 29.7819,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Motion, bearings, flow control and automation distribution could aggregate latent demand before OEMs become obvious suppliers",
    "Current AI Supply-Chain Screen": "No direct AI supplier evidence found; MRO, bearings, fluid power and automation distribution.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.applied.com/",
    "Bucket": "Distribution / MRO",
    "Base Alpha Score": 63.4,
    "Latest Price": 315.88,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 12228064139.0,
    "Latest Market Cap USD bn": 12.228,
    "Latest YTD Return %": 21.67,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/AIT/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 63.4,
    "AI2027 Trend Bonus Score": 9.3,
    "AI2027 Trend Tags": "physical_ai,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,power_grid; bonus +9.3 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 18,
    "Ticker": "HURC",
    "Company": "Hurco",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 72.5,
    "Theme": "CNC/tooling",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 18,
    "Discovery Gap": 20,
    "Valuation Setup": 15,
    "Catalyst Density": 12,
    "Execution/Quality": 5,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.139,
    "PE Ratio": -7.6018,
    "Market Cap Tier": "",
    "Latent AI Pathway": "CNC machines could support localized prototyping and specialty manufacturing for hard-to-source AI infrastructure parts",
    "Current AI Supply-Chain Screen": "No direct AI/fab supplier positioning found; machine tools for general manufacturing.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.hurco.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 71.0,
    "Latest Price": 21.81,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 139241000.0,
    "Latest Market Cap USD bn": 0.139,
    "Latest YTD Return %": 33.39,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/HURC/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 71.0,
    "AI2027 Trend Bonus Score": 1.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 19,
    "Ticker": "FELE",
    "Company": "Franklin Electric",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 72.2,
    "Theme": "Pumps/water systems",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 21,
    "Discovery Gap": 17,
    "Valuation Setup": 13,
    "Catalyst Density": 13,
    "Execution/Quality": 11,
    "Hype Penalty": 4,
    "Market Cap USD bn": 4.645,
    "PE Ratio": 30.4157,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Groundwater, fueling, and pumping systems could serve water-constrained compute campuses or edge facilities",
    "Current AI Supply-Chain Screen": "No obvious AI/data-center supplier positioning found; current focus is water/fuel pumping systems.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.franklin-electric.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 71.7,
    "Latest Price": 101.26,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 4645319872.0,
    "Latest Market Cap USD bn": 4.645,
    "Latest YTD Return %": 4.39,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/FELE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 71.7,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 20,
    "Ticker": "DUE.DE",
    "Company": "Dürr",
    "Country": "Germany",
    "Exchange": "Xetra",
    "Alpha Score": 72.0,
    "Theme": "Automation/process tech",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 18,
    "Discovery Gap": 16,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.46,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Factory automation, environmental systems and surface processing could support reshored hardware/component production",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure/fab exposure found in spot checks; broad mechanical/process engineering.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.durr-group.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 69.6,
    "Latest Price": 17.52,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 1459715181.48,
    "Latest Market Cap USD bn": 1.46,
    "Latest YTD Return %": -23.16,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/DUE.DE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 69.6,
    "AI2027 Trend Bonus Score": 2.4,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +2.4 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 20,
    "Ticker": "KAI",
    "Company": "Kadant",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 72.0,
    "Theme": "Process fluid systems",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 20,
    "Discovery Gap": 15,
    "Valuation Setup": 11,
    "Catalyst Density": 13,
    "Execution/Quality": 11,
    "Hype Penalty": 4,
    "Market Cap USD bn": 3.698,
    "PE Ratio": 37.8636,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Fluid handling, filtration and industrial process systems could be redirected toward water reuse/thermal process control",
    "Current AI Supply-Chain Screen": "No direct AI supply chain positioning found; process industries remain core.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.kadant.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 66.0,
    "Latest Price": 293.57,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 3698000000.0,
    "Latest Market Cap USD bn": 3.698,
    "Latest YTD Return %": 2.5,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/KAI/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.0,
    "AI2027 Trend Bonus Score": 6.0,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 21,
    "Ticker": "SUN.SW",
    "Company": "Sulzer",
    "Country": "Switzerland",
    "Exchange": "SIX",
    "Alpha Score": 71.9,
    "Theme": "Fluid engineering",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 22,
    "Discovery Gap": 15,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 10,
    "Hype Penalty": 4,
    "Market Cap USD bn": 5.788,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Pumping, mixing, separation and purification could transfer into coolant quality, water reuse and process-control niches",
    "Current AI Supply-Chain Screen": "No direct AI-data-center supplier evidence found; fluid engineering across essential industries.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.sulzer.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 70.6,
    "Latest Price": 138.7,
    "Latest Currency": "CHF",
    "Latest Market Cap USD": 5788039786.74,
    "Latest Market Cap USD bn": 5.788,
    "Latest YTD Return %": -8.63,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/SUN.SW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 70.6,
    "AI2027 Trend Bonus Score": 1.3,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.3 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 21,
    "Ticker": "HAYW",
    "Company": "Hayward Holdings",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 71.5,
    "Theme": "Pumps/filtration",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 18,
    "Valuation Setup": 17,
    "Catalyst Density": 11,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 3.439,
    "PE Ratio": 20.4384,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Pool pumps, controls and filtration capabilities could be adapted toward smaller liquid-management and heat-exchange niches",
    "Current AI Supply-Chain Screen": "No direct AI/data-center/fab exposure found; consumer/commercial pool equipment focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.hayward.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 71.0,
    "Latest Price": 15.85,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 3439000000.0,
    "Latest Market Cap USD bn": 3.439,
    "Latest YTD Return %": 0.51,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/HAYW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 71.0,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 22,
    "Ticker": "MSA",
    "Company": "MSA Safety",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 71.5,
    "Theme": "Safety sensors/PPE",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 14,
    "Valuation Setup": 16,
    "Catalyst Density": 11,
    "Execution/Quality": 12,
    "Hype Penalty": 1,
    "Market Cap USD bn": 6.202,
    "PE Ratio": 23.4777,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Gas detection, flame detection and worker safety could support critical compute/factory sites and autonomous-industrial safety",
    "Current AI Supply-Chain Screen": "No direct AI supplier evidence found; safety products and detection systems.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.msasafety.com/",
    "Bucket": "Security / safety",
    "Base Alpha Score": 68.0,
    "Latest Price": 167.41,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 6202000000.0,
    "Latest Market Cap USD bn": 6.202,
    "Latest YTD Return %": 3.19,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/MSA/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 68.0,
    "AI2027 Trend Bonus Score": 3.5,
    "AI2027 Trend Tags": "security_sovereign",
    "AI2027 Trend Note": "AI 2027/current overlay: security_sovereign; bonus +3.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 22,
    "Ticker": "KRN.DE",
    "Company": "Krones",
    "Country": "Germany",
    "Exchange": "Xetra",
    "Alpha Score": 71.4,
    "Theme": "Packaging automation",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 15,
    "Valuation Setup": 14,
    "Catalyst Density": 11,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 4.113,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "High-throughput automation and process engineering could be adapted to precision assembly/inspection cells",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure/fab evidence found; packaging and bottling process technology.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.krones.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 65.0,
    "Latest Price": 107.6,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 4112654053.23,
    "Latest Market Cap USD bn": 4.113,
    "Latest YTD Return %": -20.88,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/KRN.DE/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 65.0,
    "AI2027 Trend Bonus Score": 6.4,
    "AI2027 Trend Tags": "packaging_memory_test",
    "AI2027 Trend Note": "AI 2027/current overlay: packaging_memory_test; bonus +6.4 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 23,
    "Ticker": "NMAN.ST",
    "Company": "Nederman",
    "Country": "Sweden",
    "Exchange": "Nasdaq Stockholm",
    "Alpha Score": 70.9,
    "Theme": "Air filtration",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 18,
    "Valuation Setup": 14,
    "Catalyst Density": 12,
    "Execution/Quality": 8,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.498,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Industrial air filtration and extraction could matter for fabrication-adjacent workshops and facility cleanliness without fab exposure",
    "Current AI Supply-Chain Screen": "No direct AI/fab/data-center evidence found; industrial air filtration.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.nederman.com/",
    "Bucket": "Filtration / safety",
    "Base Alpha Score": 68.0,
    "Latest Price": 124.2,
    "Latest Currency": "SEK",
    "Latest Market Cap USD": 497624205.6,
    "Latest Market Cap USD bn": 0.498,
    "Latest YTD Return %": -24.73,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/NMAN.ST/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 68.0,
    "AI2027 Trend Bonus Score": 2.9,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +2.9 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 24,
    "Ticker": "ELK.OL",
    "Company": "Elkem",
    "Country": "Norway",
    "Exchange": "Oslo",
    "Alpha Score": 70.9,
    "Theme": "Silicones/carbon materials",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 19,
    "Discovery Gap": 17,
    "Valuation Setup": 15,
    "Catalyst Density": 13,
    "Execution/Quality": 7,
    "Hype Penalty": 4,
    "Market Cap USD bn": 1.188,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Silicones and carbon solutions could support thermal, sealing or battery-adjacent materials if demand spills outside incumbents",
    "Current AI Supply-Chain Screen": "No direct AI/fab supply-chain evidence found in spot checks; silicones, silicon products and carbon solutions.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.elkem.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 63.6,
    "Latest Price": 30.4,
    "Latest Currency": "NOK",
    "Latest Market Cap USD": 1187577621.94,
    "Latest Market Cap USD bn": 1.188,
    "Latest YTD Return %": -0.59,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ELK.OL/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 63.6,
    "AI2027 Trend Bonus Score": 7.3,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +7.3 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 23,
    "Ticker": "NSSC",
    "Company": "NAPCO Security Technologies",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 70.8,
    "Theme": "Physical security",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 15,
    "Discovery Gap": 18,
    "Valuation Setup": 14,
    "Catalyst Density": 11,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.36,
    "PE Ratio": null,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Access control, alarms and locking systems could serve higher-security compute campuses/edge sites without being core AI hardware",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure supplier evidence found; security and locking systems.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.napcosecurity.com/",
    "Bucket": "Security / safety",
    "Base Alpha Score": 66.0,
    "Latest Price": 38.08,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 1360000000.0,
    "Latest Market Cap USD bn": 1.36,
    "Latest YTD Return %": -7.97,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/NSSC/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.0,
    "AI2027 Trend Bonus Score": 4.8,
    "AI2027 Trend Tags": "security_sovereign",
    "AI2027 Trend Note": "AI 2027/current overlay: security_sovereign; bonus +4.8 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 24,
    "Ticker": "ASIX",
    "Company": "AdvanSix",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 70.5,
    "Theme": "Specialty chemicals",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 14,
    "Discovery Gap": 19,
    "Valuation Setup": 20,
    "Catalyst Density": 10,
    "Execution/Quality": 7,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.565,
    "PE Ratio": 13.0363,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Nylon, caprolactam and ammonium sulfate chemistry could be adapted to industrial materials and manufacturing inputs",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; diversified chemicals.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.advansix.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 69.0,
    "Latest Price": 20.48,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 565331000.0,
    "Latest Market Cap USD bn": 0.565,
    "Latest YTD Return %": 18.93,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ASIX/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 69.0,
    "AI2027 Trend Bonus Score": 1.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 25,
    "Ticker": "AIN",
    "Company": "Albany International",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 70.5,
    "Theme": "Advanced fabrics/composites",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 18,
    "Discovery Gap": 18,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 2.035,
    "PE Ratio": -31.0255,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Engineered fabrics and aerospace composites could be applied to lightweight structures, filtration media, and manufacturing process materials",
    "Current AI Supply-Chain Screen": "No direct AI/data-center/fab evidence found; aerospace and machine clothing focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.albint.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 69.5,
    "Latest Price": 71.31,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 2035000000.0,
    "Latest Market Cap USD bn": 2.035,
    "Latest YTD Return %": 36.24,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/AIN/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 69.5,
    "AI2027 Trend Bonus Score": 1.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 26,
    "Ticker": "UFPI",
    "Company": "UFP Industries",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 70.3,
    "Theme": "Construction/packaging materials",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 13,
    "Discovery Gap": 17,
    "Valuation Setup": 20,
    "Catalyst Density": 9,
    "Execution/Quality": 10,
    "Hype Penalty": 0,
    "Market Cap USD bn": 4.645,
    "PE Ratio": 15.5749,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Packaging, wood/composite and construction products could support modular industrial expansion and logistics",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure supplier evidence found; packaging, construction and retail products.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.ufpi.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 69.0,
    "Latest Price": 82.32,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 4645000000.0,
    "Latest Market Cap USD bn": 4.645,
    "Latest YTD Return %": -10.7,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/UFPI/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 69.0,
    "AI2027 Trend Bonus Score": 1.3,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.3 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 25,
    "Ticker": "TOM.OL",
    "Company": "Tomra",
    "Country": "Norway",
    "Exchange": "Oslo",
    "Alpha Score": 70.1,
    "Theme": "Sensor sorting/recycling",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 17,
    "Discovery Gap": 14,
    "Valuation Setup": 12,
    "Catalyst Density": 12,
    "Execution/Quality": 10,
    "Hype Penalty": 2,
    "Market Cap USD bn": 2.952,
    "PE Ratio": null,
    "Market Cap Tier": "Mid/large",
    "Latent AI Pathway": "Sensor-based sorting and recycling could help recover metals/plastics as AI hardware cycles accelerate",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; sorting and recycling technology.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.tomra.com/",
    "Bucket": "Recycling / critical materials",
    "Base Alpha Score": 67.7,
    "Latest Price": 95.5,
    "Latest Currency": "NOK",
    "Latest Market Cap USD": 2952395735.96,
    "Latest Market Cap USD bn": 2.952,
    "Latest YTD Return %": -30.04,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/TOM.OL/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.7,
    "AI2027 Trend Bonus Score": 2.4,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +2.4 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 27,
    "Ticker": "DCI",
    "Company": "Donaldson",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 70.0,
    "Theme": "Filtration",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 20,
    "Discovery Gap": 14,
    "Valuation Setup": 14,
    "Catalyst Density": 12,
    "Execution/Quality": 12,
    "Hype Penalty": 4,
    "Market Cap USD bn": 10.163,
    "PE Ratio": 27.3938,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Air/liquid filtration could extend into coolant cleanliness, facility air quality, and industrial process protection",
    "Current AI Supply-Chain Screen": "No direct AI build-out evidence found; filtration across industrial/mobile/aerospace/life sciences.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.donaldson.com/",
    "Bucket": "Filtration / safety",
    "Base Alpha Score": 69.2,
    "Latest Price": 87.68,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 10163000000.0,
    "Latest Market Cap USD bn": 10.163,
    "Latest YTD Return %": -2.5,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/DCI/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 69.2,
    "AI2027 Trend Bonus Score": 0.8,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.8 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 26,
    "Ticker": "ATS.TO",
    "Company": "ATS Corporation",
    "Country": "Canada",
    "Exchange": "TSX",
    "Alpha Score": 70.0,
    "Theme": "Factory automation",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 20,
    "Discovery Gap": 16,
    "Valuation Setup": 14,
    "Catalyst Density": 14,
    "Execution/Quality": 9,
    "Hype Penalty": 4,
    "Market Cap USD bn": 2.769,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Custom automation for life sciences, energy and transport could become a platform for AI-hardware adjacent assembly lines",
    "Current AI Supply-Chain Screen": "Official 2026-facing pages emphasize life sciences, food & beverage, transportation, consumer products and energy; no direct AI infra supplier evidence found.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://atsautomation.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 69.0,
    "Latest Price": 38.52,
    "Latest Currency": "CAD",
    "Latest Market Cap USD": 2769022989.08,
    "Latest Market Cap USD bn": 2.769,
    "Latest YTD Return %": 0.55,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ATS.TO/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 69.0,
    "AI2027 Trend Bonus Score": 1.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 27,
    "Ticker": "KARN.SW",
    "Company": "Kardex",
    "Country": "Switzerland",
    "Exchange": "SIX",
    "Alpha Score": 69.9,
    "Theme": "Intralogistics",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 15,
    "Valuation Setup": 13,
    "Catalyst Density": 12,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 2.386,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Automated storage/retrieval could support secure parts logistics and robotics-enabled facilities",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; intralogistics automation.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.kardex.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 64.3,
    "Latest Price": 240.0,
    "Latest Currency": "CHF",
    "Latest Market Cap USD": 2385926020.33,
    "Latest Market Cap USD bn": 2.386,
    "Latest YTD Return %": -14.89,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/KARN.SW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.3,
    "AI2027 Trend Bonus Score": 5.6,
    "AI2027 Trend Tags": "physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai; bonus +5.6 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 28,
    "Ticker": "UMIC.BR",
    "Company": "Umicore",
    "Country": "Belgium",
    "Exchange": "Euronext Brussels",
    "Alpha Score": 69.9,
    "Theme": "Battery/recycling materials",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 15,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 9,
    "Hype Penalty": 4,
    "Market Cap USD bn": null,
    "PE Ratio": null,
    "Market Cap Tier": "Mid/large",
    "Latent AI Pathway": "Battery materials and recycling could become relevant to backup power and metal circularity without being current AI hardware",
    "Current AI Supply-Chain Screen": "No direct AI data-center/fab supplier evidence found; battery materials/catalysis/recycling.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.umicore.com/",
    "Bucket": "Recycling / critical materials",
    "Base Alpha Score": 64.4,
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.4,
    "AI2027 Trend Bonus Score": 5.5,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +5.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 28,
    "Ticker": "LECO",
    "Company": "Lincoln Electric",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 69.8,
    "Theme": "Welding/automation",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 12,
    "Valuation Setup": 13,
    "Catalyst Density": 13,
    "Execution/Quality": 12,
    "Hype Penalty": 1,
    "Market Cap USD bn": 13.57,
    "PE Ratio": 28.3684,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Welding automation and additive manufacturing know-how could support heavy fabrication for compute campuses and robot factories",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; welding/cutting/automation focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.lincolnelectric.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 66.0,
    "Latest Price": 247.69,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 13570000000.0,
    "Latest Market Cap USD bn": 13.57,
    "Latest YTD Return %": 1.61,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/LECO/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.0,
    "AI2027 Trend Bonus Score": 3.8,
    "AI2027 Trend Tags": "physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai; bonus +3.8 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 29,
    "Ticker": "PRLB",
    "Company": "Proto Labs",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 69.8,
    "Theme": "Digital manufacturing",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 19,
    "Discovery Gap": 17,
    "Valuation Setup": 8,
    "Catalyst Density": 13,
    "Execution/Quality": 9,
    "Hype Penalty": 2,
    "Market Cap USD bn": 1.736,
    "PE Ratio": 64.9906,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Rapid manufacturing could prototype custom thermal/mechanical parts before incumbent supply chains develop",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain positioning found; quick-turn digital manufacturing focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.protolabs.com/",
    "Bucket": "Manufacturing / tooling",
    "Base Alpha Score": 63.3,
    "Latest Price": 72.96,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 1736000000.0,
    "Latest Market Cap USD bn": 1.736,
    "Latest YTD Return %": 42.08,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/PRLB/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 63.3,
    "AI2027 Trend Bonus Score": 6.5,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 30,
    "Ticker": "CR",
    "Company": "Crane Company",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 69.8,
    "Theme": "Aerospace/flow systems",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 20,
    "Discovery Gap": 12,
    "Valuation Setup": 12,
    "Catalyst Density": 12,
    "Execution/Quality": 12,
    "Hype Penalty": 3,
    "Market Cap USD bn": 12.41,
    "PE Ratio": 32.605,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Aerospace electronics, sensing, fluid management and valves could cross-pollinate into high-reliability cooling/control niches",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; aerospace, defense, flow technologies and critical industries.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.craneco.com/",
    "Bucket": "Sensors / electronics",
    "Base Alpha Score": 64.3,
    "Latest Price": 214.13,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 12410000000.0,
    "Latest Market Cap USD bn": 12.41,
    "Latest YTD Return %": 14.18,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/CR/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.3,
    "AI2027 Trend Bonus Score": 5.5,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +5.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 31,
    "Ticker": "AOS",
    "Company": "A. O. Smith",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 69.6,
    "Theme": "Water heating/treatment",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 13,
    "Valuation Setup": 18,
    "Catalyst Density": 10,
    "Execution/Quality": 12,
    "Hype Penalty": 1,
    "Market Cap USD bn": 8.197,
    "PE Ratio": 16.2827,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Water heating, boilers and treatment could be relevant for heat reuse, facility water treatment or industrial campuses",
    "Current AI Supply-Chain Screen": "No direct AI/data-center supplier positioning found; water heating/treatment focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.aosmith.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 68.3,
    "Latest Price": 59.47,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 8197000000.0,
    "Latest Market Cap USD bn": 8.197,
    "Latest YTD Return %": -12.95,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/AOS/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 68.3,
    "AI2027 Trend Bonus Score": 1.3,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.3 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 29,
    "Ticker": "PAL.VI",
    "Company": "Palfinger",
    "Country": "Austria",
    "Exchange": "Vienna",
    "Alpha Score": 69.6,
    "Theme": "Lifting/robotic handling",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 15,
    "Discovery Gap": 17,
    "Valuation Setup": 14,
    "Catalyst Density": 10,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.41,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Lifting systems could support modular infrastructure, maintenance robotics and industrial logistics",
    "Current AI Supply-Chain Screen": "No direct AI build-out evidence found; lifting and handling solutions.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.palfinger.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 64.0,
    "Latest Price": 32.25,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 1410496032.24,
    "Latest Market Cap USD bn": 1.41,
    "Latest YTD Return %": -4.59,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/PAL.VI/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.0,
    "AI2027 Trend Bonus Score": 5.6,
    "AI2027 Trend Tags": "physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai; bonus +5.6 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 30,
    "Ticker": "ANDR.VI",
    "Company": "Andritz",
    "Country": "Austria",
    "Exchange": "Vienna",
    "Alpha Score": 69.0,
    "Theme": "Process/hydro systems",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 13,
    "Valuation Setup": 13,
    "Catalyst Density": 13,
    "Execution/Quality": 10,
    "Hype Penalty": 4,
    "Market Cap USD bn": 8.307,
    "PE Ratio": null,
    "Market Cap Tier": "Large",
    "Latent AI Pathway": "Hydro, pumps, process automation and industrial systems could help constrained power/water ecosystems outside direct AI hardware",
    "Current AI Supply-Chain Screen": "No direct AI supplier evidence found; hydro, pulp, metals and separation technologies.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.andritz.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 63.0,
    "Latest Price": 72.4,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 8306670795.38,
    "Latest Market Cap USD bn": 8.307,
    "Latest YTD Return %": 8.46,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ANDR.VI/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 63.0,
    "AI2027 Trend Bonus Score": 6.0,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 32,
    "Ticker": "VNT",
    "Company": "Vontier",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 68.9,
    "Theme": "Mobility/industrial tech",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 15,
    "Valuation Setup": 19,
    "Catalyst Density": 10,
    "Execution/Quality": 8,
    "Hype Penalty": 1,
    "Market Cap USD bn": 4.016,
    "PE Ratio": 12.8352,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Industrial mobility, sensing, fueling and environmental solutions could support energy-managed industrial campuses",
    "Current AI Supply-Chain Screen": "No direct AI/data-center/fab evidence found; transportation/mobility and environmental solutions.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.vontier.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 67.0,
    "Latest Price": 28.52,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 4016000000.0,
    "Latest Market Cap USD bn": 4.016,
    "Latest YTD Return %": -24.55,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/VNT/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.0,
    "AI2027 Trend Bonus Score": 1.9,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.9 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 33,
    "Ticker": "ALG",
    "Company": "Alamo Group",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 68.8,
    "Theme": "Specialty equipment",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 14,
    "Discovery Gap": 18,
    "Valuation Setup": 17,
    "Catalyst Density": 9,
    "Execution/Quality": 9,
    "Hype Penalty": 0,
    "Market Cap USD bn": 2.072,
    "PE Ratio": 20.4366,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Vegetation, infrastructure-maintenance and industrial equipment could support rights-of-way and physical build-out adjacent work",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain evidence found; vegetation and industrial equipment.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.alamo-group.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 67.0,
    "Latest Price": 162.95,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 2071660395.0,
    "Latest Market Cap USD bn": 2.072,
    "Latest YTD Return %": -4.39,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ALG/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.0,
    "AI2027 Trend Bonus Score": 1.8,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.8 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 31,
    "Ticker": "ALQ.AX",
    "Company": "ALS",
    "Country": "Australia",
    "Exchange": "ASX",
    "Alpha Score": 68.6,
    "Theme": "Testing/inspection",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 15,
    "Valuation Setup": 13,
    "Catalyst Density": 12,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 8.059,
    "PE Ratio": null,
    "Market Cap Tier": "Mid/large",
    "Latent AI Pathway": "Testing, certification and environmental analysis could verify coolants, water quality, materials and emissions for new infrastructure",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain evidence found; testing, inspection and certification services.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.alsglobal.com/",
    "Bucket": "Services / testing",
    "Base Alpha Score": 63.6,
    "Latest Price": 22.24,
    "Latest Currency": "AUD",
    "Latest Market Cap USD": 8059406600.0,
    "Latest Market Cap USD bn": 8.059,
    "Latest YTD Return %": 0.82,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ALQ.AX/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 63.6,
    "AI2027 Trend Bonus Score": 5.0,
    "AI2027 Trend Tags": "packaging_memory_test",
    "AI2027 Trend Note": "AI 2027/current overlay: packaging_memory_test; bonus +5.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 32,
    "Ticker": "SGM.AX",
    "Company": "Sims",
    "Country": "Australia",
    "Exchange": "ASX",
    "Alpha Score": 68.6,
    "Theme": "Metal recycling",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 18,
    "Valuation Setup": 15,
    "Catalyst Density": 12,
    "Execution/Quality": 8,
    "Hype Penalty": 1,
    "Market Cap USD bn": 3.394,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Metal recycling could capture circularity demand as AI hardware, cabling and facility materials scale",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain evidence found; metal recycling and circular materials.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.simsmm.com/",
    "Bucket": "Recycling / critical materials",
    "Base Alpha Score": 68.1,
    "Latest Price": 25.07,
    "Latest Currency": "AUD",
    "Latest Market Cap USD": 3394037778.61,
    "Latest Market Cap USD bn": 3.394,
    "Latest YTD Return %": 37.6,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/SGM.AX/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 68.1,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 33,
    "Ticker": "ESNT.L",
    "Company": "Essentra",
    "Country": "United Kingdom",
    "Exchange": "LSE",
    "Alpha Score": 68.3,
    "Theme": "Industrial components",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 15,
    "Discovery Gap": 19,
    "Valuation Setup": 16,
    "Catalyst Density": 10,
    "Execution/Quality": 7,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.323,
    "PE Ratio": null,
    "Market Cap Tier": "Small",
    "Latent AI Pathway": "A catalogue of components, caps, fasteners and protection products could matter in modular hardware/facility supply chains",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; broad industrial components.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.essentra.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 66.0,
    "Latest Price": 81.747,
    "Latest Currency": "GBp",
    "Latest Market Cap USD": 322631086.09,
    "Latest Market Cap USD bn": 0.323,
    "Latest YTD Return %": -14.85,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ESNT.L/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.0,
    "AI2027 Trend Bonus Score": 2.3,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +2.3 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 34,
    "Ticker": "GF.SW",
    "Company": "Georg Fischer",
    "Country": "Switzerland",
    "Exchange": "SIX",
    "Alpha Score": 68.0,
    "Theme": "Flow solutions",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 20,
    "Discovery Gap": 15,
    "Valuation Setup": 13,
    "Catalyst Density": 12,
    "Execution/Quality": 10,
    "Hype Penalty": 4,
    "Market Cap USD bn": 4.584,
    "PE Ratio": null,
    "Market Cap Tier": "Mid/large",
    "Latent AI Pathway": "Piping and flow solutions could map into industrial coolant/water networks if hyperscale standards spill into adjacent markets",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; flow solutions, casting and machining businesses.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.georgfischer.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 66.7,
    "Latest Price": 43.62,
    "Latest Currency": "CHF",
    "Latest Market Cap USD": 4583748905.19,
    "Latest Market Cap USD bn": 4.584,
    "Latest YTD Return %": -19.15,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/GF.SW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.7,
    "AI2027 Trend Bonus Score": 1.3,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.3 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 34,
    "Ticker": "WTS",
    "Company": "Watts Water Technologies",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 68.0,
    "Theme": "Flow/water safety",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 22,
    "Discovery Gap": 14,
    "Valuation Setup": 12,
    "Catalyst Density": 13,
    "Execution/Quality": 12,
    "Hype Penalty": 5,
    "Market Cap USD bn": 11.93,
    "PE Ratio": 30.1331,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Valves, backflow prevention, drainage, water quality and HVAC/hot water controls could be adapted for high-density facility water management",
    "Current AI Supply-Chain Screen": "No direct AI build-out mention found in spot checks; products are broad plumbing/flow/water quality solutions.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.watts.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 68.0,
    "Latest Price": 348.05,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 11930000000.0,
    "Latest Market Cap USD bn": 11.93,
    "Latest YTD Return %": 24.94,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/WTS/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 68.0,
    "AI2027 Trend Bonus Score": 0.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 35,
    "Ticker": "HILS.L",
    "Company": "Hill & Smith",
    "Country": "United Kingdom",
    "Exchange": "LSE",
    "Alpha Score": 67.8,
    "Theme": "Infrastructure/galvanizing",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 17,
    "Valuation Setup": 14,
    "Catalyst Density": 12,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 3.001,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Galvanizing and engineered infrastructure products could support physical-network and facility hardening",
    "Current AI Supply-Chain Screen": "No direct AI-data-center supplier evidence found; engineered infrastructure products.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.hsgplc.co.uk/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 67.3,
    "Latest Price": 2840.0,
    "Latest Currency": "GBp",
    "Latest Market Cap USD": 3001159200.0,
    "Latest Market Cap USD bn": 3.001,
    "Latest YTD Return %": 31.79,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/HILS.L/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.3,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 36,
    "Ticker": "RWC.AX",
    "Company": "Reliance Worldwide",
    "Country": "Australia",
    "Exchange": "ASX",
    "Alpha Score": 67.8,
    "Theme": "Plumbing/flow control",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 18,
    "Discovery Gap": 16,
    "Valuation Setup": 14,
    "Catalyst Density": 12,
    "Execution/Quality": 9,
    "Hype Penalty": 3,
    "Market Cap USD bn": 2.013,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Plumbing, pipe fittings and flow-control products could support water loops and rapid facility construction",
    "Current AI Supply-Chain Screen": "No direct AI data-center supplier evidence found; plumbing and water-control products.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.rwc.com/",
    "Bucket": "Water / fluid systems",
    "Base Alpha Score": 66.0,
    "Latest Price": 3.76,
    "Latest Currency": "AUD",
    "Latest Market Cap USD": 2013388317.6,
    "Latest Market Cap USD bn": 2.013,
    "Latest YTD Return %": -2.34,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/RWC.AX/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.0,
    "AI2027 Trend Bonus Score": 1.8,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.8 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 37,
    "Ticker": "TIH.TO",
    "Company": "Toromont",
    "Country": "Canada",
    "Exchange": "TSX",
    "Alpha Score": 67.7,
    "Theme": "Equipment/service",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 15,
    "Discovery Gap": 13,
    "Valuation Setup": 12,
    "Catalyst Density": 10,
    "Execution/Quality": 11,
    "Hype Penalty": 2,
    "Market Cap USD bn": 12.825,
    "PE Ratio": null,
    "Market Cap Tier": "Large",
    "Latent AI Pathway": "Equipment distribution/service could support remote construction, logistics and energy projects around compute campuses",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; equipment dealership and industrial refrigeration/service.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.toromont.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 67.7,
    "Latest Price": 228.08,
    "Latest Currency": "CAD",
    "Latest Market Cap USD": 12825078525.75,
    "Latest Market Cap USD bn": 12.825,
    "Latest YTD Return %": 35.92,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/TIH.TO/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.7,
    "AI2027 Trend Bonus Score": 0.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 35,
    "Ticker": "TNC",
    "Company": "Tennant",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 67.6,
    "Theme": "Autonomous cleaning/industrial robotics",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 16,
    "Discovery Gap": 18,
    "Valuation Setup": 8,
    "Catalyst Density": 12,
    "Execution/Quality": 8,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.506,
    "PE Ratio": 51.9167,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Industrial cleaning machines and autonomous floor-cleaning platforms could evolve into facility robotics for high-security campuses",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure supplier evidence found; cleaning equipment and robotics focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.tennantco.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 59.8,
    "Latest Price": 85.6,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 1505557469.0,
    "Latest Market Cap USD bn": 1.506,
    "Latest YTD Return %": 15.74,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/TNC/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 59.8,
    "AI2027 Trend Bonus Score": 7.8,
    "AI2027 Trend Tags": "physical_ai,security_sovereign",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,security_sovereign; bonus +7.8 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 36,
    "Ticker": "MATW",
    "Company": "Matthews International",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 67.5,
    "Theme": "Industrial tech/energy storage",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 17,
    "Discovery Gap": 20,
    "Valuation Setup": 7,
    "Catalyst Density": 12,
    "Execution/Quality": 6,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.84,
    "PE Ratio": 90.5484,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Industrial technologies, marking and energy-storage process work could offer optionality in manufacturing infrastructure",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain positioning found; diversified memorial/industrial/brand solutions.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.matw.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 61.0,
    "Latest Price": 26.21,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 839970000.0,
    "Latest Market Cap USD bn": 0.84,
    "Latest YTD Return %": 1.08,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/MATW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 61.0,
    "AI2027 Trend Bonus Score": 6.5,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +6.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 37,
    "Ticker": "FSS",
    "Company": "Federal Signal",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 67.5,
    "Theme": "Safety/industrial systems",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 15,
    "Valuation Setup": 14,
    "Catalyst Density": 12,
    "Execution/Quality": 11,
    "Hype Penalty": 1,
    "Market Cap USD bn": 7.838,
    "PE Ratio": 28.3227,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Emergency warning, environmental and safety equipment could serve AI campuses, autonomous operations and critical sites",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure supplier evidence found; municipal/industrial safety and environmental systems.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.federalsignal.com/",
    "Bucket": "Other",
    "Base Alpha Score": 67.0,
    "Latest Price": 119.11,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 7838000000.0,
    "Latest Market Cap USD bn": 7.838,
    "Latest YTD Return %": 6.88,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/FSS/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.0,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 38,
    "Ticker": "CNM",
    "Company": "Core & Main",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 67.4,
    "Theme": "Waterworks distribution",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 18,
    "Discovery Gap": 14,
    "Valuation Setup": 13,
    "Catalyst Density": 12,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 8.823,
    "PE Ratio": null,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Waterworks distribution and smart utility offerings could matter as AI campuses strain water infrastructure",
    "Current AI Supply-Chain Screen": "No direct AI/data-center supplier evidence found; water/wastewater/stormwater infrastructure distributor.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://coreandmain.com/",
    "Bucket": "Distribution / MRO",
    "Base Alpha Score": 66.1,
    "Latest Price": 45.59,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 8823000000.0,
    "Latest Market Cap USD bn": 8.823,
    "Latest YTD Return %": -14.64,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/CNM/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.1,
    "AI2027 Trend Bonus Score": 1.3,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.3 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 39,
    "Ticker": "HXL",
    "Company": "Hexcel",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 67.2,
    "Theme": "Composites",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 13,
    "Valuation Setup": 7,
    "Catalyst Density": 12,
    "Execution/Quality": 10,
    "Hype Penalty": 2,
    "Market Cap USD bn": 7.432,
    "PE Ratio": 63.894,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Carbon fiber and lightweight composites could enable advanced robotics, aerospace compute platforms and thermal/mechanical structures",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; aerospace/industrial composites focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.hexcel.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 57.4,
    "Latest Price": 98.53,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 7432000000.0,
    "Latest Market Cap USD bn": 7.432,
    "Latest YTD Return %": 28.16,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/HXL/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 57.4,
    "AI2027 Trend Bonus Score": 9.8,
    "AI2027 Trend Tags": "physical_ai,power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai,power_grid; bonus +9.8 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 40,
    "Ticker": "OSK",
    "Company": "Oshkosh",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 67.1,
    "Theme": "Specialty vehicles/electrification",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 15,
    "Discovery Gap": 12,
    "Valuation Setup": 19,
    "Catalyst Density": 11,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 8.725,
    "PE Ratio": 15.2888,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Electrified, autonomous and specialty platforms could map to physical logistics and construction of new compute infrastructure",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain revenue evidence found; specialty vehicles/defense/fire/access equipment.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.oshkoshcorp.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 66.6,
    "Latest Price": 139.94,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 8725000000.0,
    "Latest Market Cap USD bn": 8.725,
    "Latest YTD Return %": 5.84,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/OSK/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.6,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 38,
    "Ticker": "BOSN.SW",
    "Company": "Bossard",
    "Country": "Switzerland",
    "Exchange": "SIX",
    "Alpha Score": 67.1,
    "Theme": "Fastener logistics",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 15,
    "Discovery Gap": 17,
    "Valuation Setup": 13,
    "Catalyst Density": 10,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.939,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Fastener distribution and engineering could aggregate hidden demand for modular enclosures and robotic equipment",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; fastening and logistics services.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.bossard.com/",
    "Bucket": "Distribution / MRO",
    "Base Alpha Score": 62.3,
    "Latest Price": 198.5,
    "Latest Currency": "CHF",
    "Latest Market Cap USD": 1939453211.81,
    "Latest Market Cap USD bn": 1.939,
    "Latest YTD Return %": 27.24,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/BOSN.SW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 62.3,
    "AI2027 Trend Bonus Score": 4.8,
    "AI2027 Trend Tags": "physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai; bonus +4.8 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 39,
    "Ticker": "BRG.OL",
    "Company": "Borregaard",
    "Country": "Norway",
    "Exchange": "Oslo",
    "Alpha Score": 67.0,
    "Theme": "Bio-based specialty chemicals",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 15,
    "Discovery Gap": 17,
    "Valuation Setup": 14,
    "Catalyst Density": 10,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.533,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Biopolymers and specialty cellulose could be used in binders, dispersants or sustainable process chemistry",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; bio-based specialty chemicals.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.borregaard.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 64.6,
    "Latest Price": 150.2,
    "Latest Currency": "NOK",
    "Latest Market Cap USD": 1533170100.0,
    "Latest Market Cap USD bn": 1.533,
    "Latest YTD Return %": -23.6,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/BRG.OL/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.6,
    "AI2027 Trend Bonus Score": 2.4,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +2.4 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 40,
    "Ticker": "BEKB.BR",
    "Company": "Bekaert",
    "Country": "Belgium",
    "Exchange": "Euronext Brussels",
    "Alpha Score": 67.0,
    "Theme": "Steel wire/materials",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 16,
    "Valuation Setup": 15,
    "Catalyst Density": 11,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 2.191,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Advanced steel wire and reinforcement materials could support electrification, enclosures and industrial construction",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain supplier evidence found; steel wire transformation and coatings.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.bekaert.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 66.0,
    "Latest Price": 39.9,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 2190568500.0,
    "Latest Market Cap USD bn": 2.191,
    "Latest YTD Return %": 2.97,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/BEKB.BR/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.0,
    "AI2027 Trend Bonus Score": 1.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 41,
    "Ticker": "TRS",
    "Company": "TriMas",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 67.0,
    "Theme": "Aerospace/packaging components",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 16,
    "Discovery Gap": 18,
    "Valuation Setup": 20,
    "Catalyst Density": 11,
    "Execution/Quality": 8,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.481,
    "PE Ratio": 1.7301,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Specialty fasteners, aerospace components and closures could be redirected toward precision mechanical subassemblies",
    "Current AI Supply-Chain Screen": "No direct AI build-out/fab evidence found; packaging/aerospace/specialty products.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.trimascorp.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 66.0,
    "Latest Price": 40.84,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 1481000000.0,
    "Latest Market Cap USD bn": 1.481,
    "Latest YTD Return %": 12.54,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/TRS/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 66.0,
    "AI2027 Trend Bonus Score": 1.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 41,
    "Ticker": "DPLM.L",
    "Company": "Diploma",
    "Country": "United Kingdom",
    "Exchange": "LSE",
    "Alpha Score": 67.0,
    "Theme": "Seals/controls distribution",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 15,
    "Valuation Setup": 13,
    "Catalyst Density": 13,
    "Execution/Quality": 11,
    "Hype Penalty": 3,
    "Market Cap USD bn": 12.95,
    "PE Ratio": null,
    "Market Cap Tier": "Mid/large",
    "Latent AI Pathway": "Seals, controls and life-science/industrial distribution could aggregate hard-to-source fluid-control components",
    "Current AI Supply-Chain Screen": "No direct AI build-out supplier evidence found; distribution into controls, seals and life sciences.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.diplomaplc.com/",
    "Bucket": "Distribution / MRO",
    "Base Alpha Score": 67.0,
    "Latest Price": 6745.0,
    "Latest Currency": "GBp",
    "Latest Market Cap USD": 12949545600.0,
    "Latest Market Cap USD bn": 12.95,
    "Latest YTD Return %": 27.38,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/DPLM.L/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 67.0,
    "AI2027 Trend Bonus Score": 0.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 42,
    "Ticker": "WIE.VI",
    "Company": "Wienerberger",
    "Country": "Austria",
    "Exchange": "Vienna",
    "Alpha Score": 66.4,
    "Theme": "Pipes/building products",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 15,
    "Discovery Gap": 16,
    "Valuation Setup": 14,
    "Catalyst Density": 11,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 2.868,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Piping and building envelope products could matter in water reuse and resilient industrial campuses",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; building products and piping systems.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.wienerberger.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 64.0,
    "Latest Price": 22.14,
    "Latest Currency": "EUR",
    "Latest Market Cap USD": 2868071692.91,
    "Latest Market Cap USD bn": 2.868,
    "Latest YTD Return %": -26.69,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/WIE.VI/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.0,
    "AI2027 Trend Bonus Score": 2.4,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +2.4 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 43,
    "Ticker": "EPI-A.ST",
    "Company": "Epiroc",
    "Country": "Sweden",
    "Exchange": "Nasdaq Stockholm",
    "Alpha Score": 65.8,
    "Theme": "Mining automation",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 16,
    "Discovery Gap": 12,
    "Valuation Setup": 12,
    "Catalyst Density": 12,
    "Execution/Quality": 12,
    "Hype Penalty": 2,
    "Market Cap USD bn": 32.45,
    "PE Ratio": null,
    "Market Cap Tier": "Large",
    "Latent AI Pathway": "Mining automation and equipment could benefit if AI metals demand pushes harder on productivity and autonomy",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain supplier evidence found; mining and infrastructure equipment.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.epirocgroup.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 63.2,
    "Latest Price": 256.3,
    "Latest Currency": "SEK",
    "Latest Market Cap USD": 32449815200.0,
    "Latest Market Cap USD bn": 32.45,
    "Latest YTD Return %": 21.93,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/EPI-A.ST/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 63.2,
    "AI2027 Trend Bonus Score": 2.6,
    "AI2027 Trend Tags": "physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai; bonus +2.6 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 44,
    "Ticker": "RDX.AX",
    "Company": "Redox",
    "Country": "Australia",
    "Exchange": "ASX",
    "Alpha Score": 65.7,
    "Theme": "Chemical distribution",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "High",
    "Latent Fit": 17,
    "Discovery Gap": 18,
    "Valuation Setup": 14,
    "Catalyst Density": 13,
    "Execution/Quality": 7,
    "Hype Penalty": 3,
    "Market Cap USD bn": 1.326,
    "PE Ratio": null,
    "Market Cap Tier": "Small/mid",
    "Latent AI Pathway": "Chemical distribution could supply coolants, water-treatment chemistry and process inputs if new suppliers are needed",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure supplier evidence found; chemicals and ingredients distribution.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://redox.com/",
    "Bucket": "Distribution / MRO",
    "Base Alpha Score": 64.7,
    "Latest Price": 3.6,
    "Latest Currency": "AUD",
    "Latest Market Cap USD": 1325866310.6,
    "Latest Market Cap USD bn": 1.326,
    "Latest YTD Return %": 17.26,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/RDX.AX/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.7,
    "AI2027 Trend Bonus Score": 1.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 45,
    "Ticker": "SFSN.SW",
    "Company": "SFS Group",
    "Country": "Switzerland",
    "Exchange": "SIX",
    "Alpha Score": 65.5,
    "Theme": "Precision fasteners",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 16,
    "Valuation Setup": 13,
    "Catalyst Density": 11,
    "Execution/Quality": 10,
    "Hype Penalty": 1,
    "Market Cap USD bn": 6.477,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Precision fasteners and components could support compact mechanical assemblies and automation hardware",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain evidence found; fastening systems and precision components.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.sfs.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 65.0,
    "Latest Price": 133.0,
    "Latest Currency": "CHF",
    "Latest Market Cap USD": 6476735884.54,
    "Latest Market Cap USD bn": 6.477,
    "Latest YTD Return %": 17.49,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/SFSN.SW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 65.0,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 42,
    "Ticker": "TEX",
    "Company": "Terex",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 65.3,
    "Theme": "Lifting/material handling",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 15,
    "Discovery Gap": 14,
    "Valuation Setup": 12,
    "Catalyst Density": 12,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 7.341,
    "PE Ratio": 30.7368,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Aerial work, cranes and material-handling gear could benefit from accelerated industrial construction and automated logistics",
    "Current AI Supply-Chain Screen": "No direct AI-specific supplier evidence found; industrial equipment and materials processing.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.terex.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 61.0,
    "Latest Price": 64.27,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 7341000000.0,
    "Latest Market Cap USD bn": 7.341,
    "Latest YTD Return %": 16.79,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/TEX/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 61.0,
    "AI2027 Trend Bonus Score": 4.3,
    "AI2027 Trend Tags": "physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai; bonus +4.3 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 46,
    "Ticker": "BCVN.SW",
    "Company": "Bucher Industries",
    "Country": "Switzerland",
    "Exchange": "SIX",
    "Alpha Score": 64.0,
    "Theme": "Hydraulics/machinery",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 15,
    "Discovery Gap": 16,
    "Valuation Setup": 15,
    "Catalyst Density": 10,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 12.617,
    "PE Ratio": null,
    "Market Cap Tier": "Mid",
    "Latent AI Pathway": "Hydraulics and specialty machinery could support automated construction, industrial equipment and facility operations",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain evidence found; agricultural, hydraulic, glass and municipal machinery.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.bucherindustries.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 64.0,
    "Latest Price": 122.8,
    "Latest Currency": "CHF",
    "Latest Market Cap USD": 12616648800.0,
    "Latest Market Cap USD bn": 12.617,
    "Latest YTD Return %": 18.88,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/BCVN.SW/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 64.0,
    "AI2027 Trend Bonus Score": 0.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.0 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 43,
    "Ticker": "MSM",
    "Company": "MSC Industrial Direct",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 63.2,
    "Theme": "MRO distribution",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 15,
    "Valuation Setup": 14,
    "Catalyst Density": 11,
    "Execution/Quality": 9,
    "Hype Penalty": 1,
    "Market Cap USD bn": 6.645,
    "PE Ratio": 28.1528,
    "Market Cap Tier": "",
    "Latent AI Pathway": "MRO distribution could capture fragmented, non-glamorous parts demand as AI infrastructure suppliers stretch lead times",
    "Current AI Supply-Chain Screen": "No direct AI-specific positioning found; broad industrial MRO distribution.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.mscdirect.com/",
    "Bucket": "Distribution / MRO",
    "Base Alpha Score": 62.7,
    "Latest Price": 118.99,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 6645000000.0,
    "Latest Market Cap USD bn": 6.645,
    "Latest YTD Return %": 38.62,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/MSM/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 62.7,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 44,
    "Ticker": "ROCK",
    "Company": "Gibraltar Industries",
    "Country": "United States",
    "Exchange": "NASDAQ",
    "Alpha Score": 61.3,
    "Theme": "Infrastructure products",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 15,
    "Discovery Gap": 19,
    "Valuation Setup": 5,
    "Catalyst Density": 10,
    "Execution/Quality": 6,
    "Hype Penalty": 1,
    "Market Cap USD bn": 1.303,
    "PE Ratio": 541.4286,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Building, renewable and infrastructure products could be repurposed into non-obvious facility components",
    "Current AI Supply-Chain Screen": "No direct AI-data-center supplier evidence found; building and infrastructure products.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.gibraltar1.com/",
    "Bucket": "Industrial equipment",
    "Base Alpha Score": 54.0,
    "Latest Price": 41.26,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 1302751482.0,
    "Latest Market Cap USD bn": 1.303,
    "Latest YTD Return %": -17.71,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ROCK/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 54.0,
    "AI2027 Trend Bonus Score": 7.3,
    "AI2027 Trend Tags": "power_grid",
    "AI2027 Trend Note": "AI 2027/current overlay: power_grid; bonus +7.3 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 45,
    "Ticker": "RBC",
    "Company": "RBC Bearings",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 60.8,
    "Theme": "Precision bearings",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 11,
    "Valuation Setup": 6,
    "Catalyst Density": 12,
    "Execution/Quality": 12,
    "Hype Penalty": 2,
    "Market Cap USD bn": 19.285,
    "PE Ratio": 73.0586,
    "Market Cap Tier": "",
    "Latent AI Pathway": "High-reliability bearings and components could map to robotics/aerospace-grade automated manufacturing",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure supplier evidence found; aerospace/industrial bearing focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.rbcbearings.com/",
    "Bucket": "Motion / mechanical",
    "Base Alpha Score": 57.0,
    "Latest Price": 593.89,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 19284914846.0,
    "Latest Market Cap USD bn": 19.285,
    "Latest YTD Return %": 29.45,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/RBC/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 57.0,
    "AI2027 Trend Bonus Score": 3.8,
    "AI2027 Trend Tags": "physical_ai",
    "AI2027 Trend Note": "AI 2027/current overlay: physical_ai; bonus +3.8 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 46,
    "Ticker": "ODC",
    "Company": "Oil-Dri",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 59.9,
    "Theme": "Sorbents/minerals",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "High",
    "Latent Fit": 16,
    "Discovery Gap": 20,
    "Valuation Setup": 20,
    "Catalyst Density": 11,
    "Execution/Quality": 8,
    "Hype Penalty": 0,
    "Market Cap USD bn": 1.46,
    "PE Ratio": 19.8889,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Engineered clay minerals/sorbents could be relevant to filtration, humidity control, spill management and facility resilience",
    "Current AI Supply-Chain Screen": "No direct AI supply-chain positioning found; absorbent minerals and products.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.oildri.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 69.3,
    "Latest Price": 101.94,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 1460000000.0,
    "Latest Market Cap USD bn": 1.46,
    "Latest YTD Return %": 110.4,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/ODC/",
    "Price Rerating Penalty Score": 2.4,
    "AI2027 Price Adjusted Score": 66.9,
    "AI2027 Trend Bonus Score": -7.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus -7.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 47,
    "Ticker": "REH.AX",
    "Company": "Reece",
    "Country": "Australia",
    "Exchange": "ASX",
    "Alpha Score": 57.1,
    "Theme": "Plumbing/HVAC distribution",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 17,
    "Discovery Gap": 13,
    "Valuation Setup": 11,
    "Catalyst Density": 10,
    "Execution/Quality": 10,
    "Hype Penalty": 3,
    "Market Cap USD bn": 7.015,
    "PE Ratio": null,
    "Market Cap Tier": "Large",
    "Latent AI Pathway": "Plumbing and HVAC distribution could become a local bottleneck aggregator for water-intensive compute sites",
    "Current AI Supply-Chain Screen": "No direct AI supplier evidence found; plumbing/HVAC distribution.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.reecegroup.com.au/",
    "Bucket": "Distribution / MRO",
    "Base Alpha Score": 56.6,
    "Latest Price": 15.79,
    "Latest Currency": "AUD",
    "Latest Market Cap USD": 7014771936.93,
    "Latest Market Cap USD bn": 7.015,
    "Latest YTD Return %": 18.37,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/REH.AX/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 56.6,
    "AI2027 Trend Bonus Score": 0.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +0.5 after cap/YTD discipline."
  },
  {
    "Region": "US",
    "Rank in Region": 47,
    "Ticker": "KWR",
    "Company": "Quaker Houghton",
    "Country": "United States",
    "Exchange": "NYSE",
    "Alpha Score": 56.0,
    "Theme": "Industrial fluids",
    "Current AI Chain Risk": "Medium",
    "Evidence Confidence": "Medium",
    "Latent Fit": 18,
    "Discovery Gap": 16,
    "Valuation Setup": 4,
    "Catalyst Density": 12,
    "Execution/Quality": 9,
    "Hype Penalty": 4,
    "Market Cap USD bn": 2.769,
    "PE Ratio": 545.6154,
    "Market Cap Tier": "",
    "Latent AI Pathway": "Process fluids, lubricants and surface-treatment chemistry could support high-throughput metalworking or coolant-adjacent niches",
    "Current AI Supply-Chain Screen": "No direct AI-data-center/fab supplier positioning found in spot checks; industrial process fluids focus.",
    "Valuation Note": "Live US quote snapshot via finance tool, 2026-05-06 UTC",
    "Source URL": "https://www.quakerhoughton.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 55.0,
    "Latest Price": 147.52,
    "Latest Currency": "USD",
    "Latest Market Cap USD": 2768732166.0,
    "Latest Market Cap USD bn": 2.769,
    "Latest YTD Return %": 6.16,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/KWR/",
    "Price Rerating Penalty Score": 0.0,
    "AI2027 Price Adjusted Score": 55.0,
    "AI2027 Trend Bonus Score": 1.0,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus +1.0 after cap/YTD discipline."
  },
  {
    "Region": "Non-US",
    "Rank in Region": 48,
    "Ticker": "GURN.SW",
    "Company": "Gurit",
    "Country": "Switzerland",
    "Exchange": "SIX",
    "Alpha Score": 42.8,
    "Theme": "Composites",
    "Current AI Chain Risk": "Low",
    "Evidence Confidence": "Medium",
    "Latent Fit": 17,
    "Discovery Gap": 18,
    "Valuation Setup": 14,
    "Catalyst Density": 12,
    "Execution/Quality": 6,
    "Hype Penalty": 1,
    "Market Cap USD bn": 0.222,
    "PE Ratio": null,
    "Market Cap Tier": "Small",
    "Latent AI Pathway": "Composite materials expertise could support lightweight structures, enclosures and advanced manufacturing cells",
    "Current AI Supply-Chain Screen": "No direct AI infrastructure evidence found; composites for wind/marine/industrial applications.",
    "Valuation Note": "Qualitative valuation setup; no reliable non-US quote snapshot returned by finance tool",
    "Source URL": "https://www.gurit.com/",
    "Bucket": "Materials / chemicals",
    "Base Alpha Score": 62.5,
    "Latest Price": 39.3,
    "Latest Currency": "CHF",
    "Latest Market Cap USD": 221776390.98,
    "Latest Market Cap USD bn": 0.222,
    "Latest YTD Return %": 233.05,
    "Market Data As Of": "2026-07-09",
    "Market Data Source": "https://finance.yahoo.com/quote/GURN.SW/",
    "Price Rerating Penalty Score": 9.2,
    "AI2027 Price Adjusted Score": 53.3,
    "AI2027 Trend Bonus Score": -10.5,
    "AI2027 Trend Tags": "",
    "AI2027 Trend Note": "AI 2027/current overlay: no direct factor; bonus -10.5 after cap/YTD discipline."
  }
]