{"isLive":true,"asset":"ETH","horizonHours":24,"predictedSum":0.00036887751806275934,"annualizedApy":0.13464029409290715,"lowerBound":0.0000381002484506219,"upperBound":0.0006996547876748967,"timestamp":"2026-09-30T22:16:09.757Z","inputs":{"last24hFundingSum":0.0003,"currentPremium":0.0001863655,"nFundingSamples":48},"model":{"version":"v3-linear-24h","fittedAt":"2026-05-06T20:22:33.825536+00:00","nTrainSamples":14851,"testR2":0.4373665432913104,"testMae":0.00009178361109572208,"naiveR2":0.3141796010657022,"naiveMae":0.00008319792735597101,"horizonHours":24,"coefficients":{"intercept":0.00014773811000656778,"coefLast24hSum":0.5736546708437836,"coefCurrPremium":0.46104057632552975,"coefTrail24hPremium":-0.008245233766473906,"residualStd":0.00025841974188448236}},"source":"hyperliquid:fundingHistory + metaAndAssetCtxs","spec":"https://kerne.fi/docs/live-apy-math","methodology":"Linear regression on three features: trailing 24h funding sum, current premium, trailing 24h premium sum. Target: cumulative funding rate over the next 24 hourly periods. Trained on 14,851 samples of HL ETH 1h funding (Mar 2024 - May 2026). Test R²=0.44 vs naive baseline 0.31. The TS implementation in this route mirrors bot/funding_forecast.py byte-for-byte; both are independently audit-checkable against the committed weights file.","verifyUrl":"https://kerne.fi/docs/live-apy-math"}