Ranking Window Functions in SQL | How to get the latest price for multiple tokens

Ranking Window Functions in SQL | Crypto SQL Advanced #2 In this video, we break down one of the most important concepts in SQL for on-chain analytics — window functions. Instead of learning theory, we solve a real problem step by step: how to get the latest price for multiple tokens You’ll see: - why GROUP BY doesn’t work in this case - how window functions solve the problem - how row_number() works in practice - the difference between row_number, rank, and dense_rank This is part of my Crypto SQL Advanced series, where we move beyond syntax and start thinking like analysts. 00:00 Intro — Latest price problem 00:20 Adding more tokens (USDC & USDT) 00:33 Why GROUP BY fails 00:54 What we actually need 01:29 Window Functions explained 01:42 ROW_NUMBER + partitioning idea 02:11 Solving: latest price per token 02:36 RANK vs DENSE_RANK vs ROW_NUMBER 03:03 Outro — next steps #onchainanalytics #duneanalytics #crypto