From Data to Decisions: Understand Web3
Explore data methodologies, research frameworks, and market insights across projects, fundraising, people, exchanges, and tokenized assets—helping you discover, verify, and better understand tokenized-asset information.
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Based on a RootData snapshot at 17:30 on July 23, 2026, this article organizes bid-ask spreads across tokenized stock exchanges and related platforms, explaining how quote tightness, order-book depth, and implicit trading costs should be compared separately.
Based on a RootData snapshot at 17:30 on July 23, 2026, this article organizes funding rates across 29 stock perpetual exchanges and related platforms, explaining how to assess long/short costs, settlement intervals, and holding periods together.
Based on a RootData snapshot at 17:30 on July 23, 2026, this article ranks open interest (OI) across 29 stock perpetual exchanges and related platforms, explaining what position size, 24-hour volume, liquidity, order books, and long/short direction each can show while preserving the data's limits.
Based on a RootData snapshot at 17:30 on July 23, 2026, this article organizes ±2% weighted liquidity across 29 tokenized stock exchanges and related platforms, and explains how depth, spread, and live order books together inform research into the conditions and limits of large-order execution.
Based on a snapshot from RootData at 17:30 on July 23, 2026, this article organizes 24-hour trading volume across 29 tokenized stock exchanges and related derivatives platforms, and explains how volume, ±2% weighted liquidity, and spread together help verify activity and execution conditions.
Based on RootData's snapshot of 29 platforms at 17:30 on July 23, 2026, this guide unpacks tokenized stock and stock-derivative exchange rankings, liquidity, spreads, contract coverage, and product-structure boundaries.
