Why this matters

• Open, verifiable data — core market data should be accessible so anyone can audit, reproduce, and build — no gatekeeping.
• Community-first — open data lets researchers, builders, and traders test ideas together and iterate faster.
• Better products for everyone — with shared raw data, we can collectively build the best Hyperliquid dashboard.

What’s included (open, raw datasets)

Artemis is open sourcing multiple Hyperliquid tables (starting Aug 17, 2025). See the full reference here: Hyperliquid data reference.

• Node Fills (all trades): Perp and spot trades on Hypercore (time, user, hash, coin, fee, side, price, size, liquidation, etc.). Filter out rows where_metadata = true.
• Perp and Spot Balances (daily snapshots): Positions, margin, and spot balances per address (JSON payload + timestamp).
• Node Order Statuses: All orders created on L2Book (limit/market/stop, trigger conditions, status).
• Node TWAP Statuses: TWAP order state and progress on Hypercore.

Note: data volume is significant (e.g., Node Order Statuses ≈ 54 GB/day as of 2025-09-19).

Managed analytics tables (ready-to-query)

• ez_metrics: protocol-level trading activity (perp/spot volume, DAU, txns), fees/revenue (perp/spot/chain/auction), cash-flow allocations (burned/buyback/service), plus token and supply metrics (price, market cap, turnover, supply changes).
• ez_metrics_by_chain: same applicable metrics, broken down by chain for cross-chain analysis.

Explore schemas and sample queries in the documentation.

How to access

• S3 (raw, open data): Use AWS CLI with requester-pays; docs include commands and a boto3 script for bulk copy.
• Snowflake Share (managed): Query ez_metrics and ez_metrics_by_chain directly for analysis.

Community goal

We want this to be the most transparent, useful Hyperliquid dashboard — built in the open and powered by shared data. Bring your ideas and we’ll turn them into features, together.