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Flume (tryflume.ai) — Construction-materials price index and forecast time series: price trends, forward forecasts, and a per-material scorecard (current direction, model confidence, year-over-year change, volatility) across dimensional lumber (2x4-2x12), engineered wood (LVL, I-joists, glulam) and structural panels (plywood, OSB) — overlaid with supply-chain risk assessments, mill-region freight context, lead-time ranges, and fitted seasonal patterns. Published as one index page per material, so the asset is a multi-material panel rather than a single series.. Seed-stage startup: approximate…
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Construction-materials price index and forecast time series: price trends, forward forecasts, and a per-material scorecard (current direction, model confidence, year-over-year change, volatility) across dimensional lumber (2x4-2x12), engineered wood (LVL, I-joists, glulam) and structural panels (plywood, OSB) — overlaid with supply-chain risk assessments, mill-region freight context, lead-time ranges, and fitted seasonal patterns. Published as one index page per material, so the asset is a multi-material panel rather than a single series.
Coverage Consumer DiscretionaryAsset class Equities · Commodities · DerivativesTickers WY · BCD · LP
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Flume (tryflume.ai) — Construction-materials price index and forecast time series: price trends, forward forecasts, and a per-material scorecard (current direction, model confidence, year-over-year change, volatility) across dimensional lumber (2x4-2x12), engineered wood (LVL, I-joists, glulam) and structural panels (plywood, OSB) — overlaid with supply-chain risk assessments, mill-region freight context, lead-time ranges, and fitted seasonal patterns. Published as one index page per material, so the asset is a multi-material panel rather than a single series.. Seed-stage startup: approximate…
Flume (tryflume.ai) offers (Price, Alternative, Supply Chain) — Small but dense: at least three lumber product families with multiple sub-products each, each carrying a price history, forecast, scorecard, risk register and seasonal fit. Across the wider index hub this is plausibly tens of material series at daily-to-weekly resolution — likely well under 100 series in total. Request further research on the exact series count and history length, which the site does not enumerate..
Materials cost forecasting and budget protection for builders and developers; basis-risk and hedge-effectiveness analysis against random-length lumber futures; backtesting and benchmarking of commodity forecast models using the published direction-and-confidence calls against realised prices; construction-cost inflation nowcasting; tariff-and-duty pass-through studies on Canadian softwood; procurement timing optimisation
Coverage spans US, Japan; Wood, Homebuilders; price, alternative, supply_chain; equities, commodities, derivatives.
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