From HIP-3 Order Flow to a Defensible Wallet Taxonomy
Test whether a HIP-3 wallet classification is stable on rerun by pulling one historical window twice and comparing the buckets.
Market Data Guides
Practical methods for using market data.
When HIP-3 Research Outgrows the Venue API
Venue APIs are excellent for narrow checks. The gap opens when the same HIP-3 reconstruction keeps getting rebuilt for a larger study.
HIP-3 historical data at L4: every order, cancel, and fill
0xArchive provides HIP-3 order-level history across 180+ builder-perp markets, including orders, cancels, fills, and wallet attribution.
Hyperliquid Liquidation Data: What the Candle Hides
Read completed Hyperliquid liquidation events by symbol, then separate projected forced levels from pending TP/SL trigger concentrations.
HIP-4 Outcome Market Data: The Price Is a Probability
On Hyperliquid's HIP-4 prediction markets the order-book price is an implied probability, not USD. How to read it, analyze it, and pull it from 0xArchive.
Lighter L3 Order-Level Data: Every Order, and Who Placed It
Lighter L3 is the full resting book, one row per order, with the wallet attached. Reconstruct queue position, attribute flow, and run backtests with historical order and trade data.
Hyperliquid Order Book Data: L2 Levels and Full L4 Reconstruction
Query Hyperliquid native L2, full-depth L2, and resting-order L4 history with route-specific depth and symbol coverage.
When Checkpoint History Is Enough and When You Need Order-Level Depth
A question-first framework for deciding when checkpoint history is enough, when full L4 and order-level routes matter, and how to test the threshold on one Hyperliquid event window.
When Agent Workflows Need Replayable Market Data, Not Just Raw API Access
Why repeated Hyperliquid agent workflows benefit from typed tools, replayable history, and coverage-aware reruns once raw API pulls stop being enough.
How to Run a One-Symbol Parity Test Before You Migrate Historical Data
A practical Hyperliquid evaluator playbook for comparing native venue pulls with managed history on one symbol, one window, and one rerunnable study.
How to Backtest Hyperliquid with Historical Data
Select, pull, normalize, and validate bounded Hyperliquid data before testing on an untouched holdout window.
Funding Rate Arbitrage: Hyperliquid x Lighter
Compare BTC funding rates across Hyperliquid and Lighter with an open-source notebook that normalizes rates and detects arbitrage windows.
Example: BTC Liquidation Heatmap
Use an open-source notebook to visualize BTC liquidation events on Hyperliquid, including cascades and long-short imbalance analysis.