docs(window-functions): add EMA, VWEMA, and ksum() window functions #328
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Document new window functions from QuestDB PRs #6650, #6651, and #6642: - EMA (Exponential Moving Average) via avg(value, kind, param) - Supports alpha, period, and time-weighted modes - VWEMA (Volume-Weighted EMA) via avg(value, kind, param, volume) - Combines exponential smoothing with volume weighting - ksum() window function with Kahan summation for improved precision Updates quick reference table and adds relevant keywords. Co-Authored-By: Claude Opus 4.5 <[email protected]>
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Summary
Documents new window functions from QuestDB core PRs:
avg(value, kind, param)- PR feat(sql): implement EMA window function via avg() questdb#6650avg(value, kind, param, volume)- PR feat(sql): volume-weighted exponential moving average (VWEMA) window function questdb#6651Changes
reference.md
avg()documentation to include EMA and VWEMA variantsalpha,period, and time-weightedksum()section with Kahan summation algorithm explanationoverview.md
ksum()and EMA/VWEMA notes foravg()Test plan
yarn start🤖 Generated with Claude Code