WIF Historical Level 2 Orderbook Data
WIF-USDT·Hyperliquid DEX·5-Minute Bars·10-Level Depth
Capture dogwifhat's extreme volatility microstructure — the leading Solana memecoin. WIF depth data reveals how viral social media events create rapid liquidity vacuums, flash crashes, and recovery patterns — essential training data for high-volatility ML models.
📅Data Range
Mar 1, 2025 → Feb 28, 2026
📊Rows (5m)
~96,000
💾Size
~9 MB
🔢Columns
47
Quick Start
import pandas as pd# Load the institutional WIF orderbook depth datasetdf = pd.read_parquet('wif_l2_depth_5m.parquet')print(df[['timestamp', 'bid_volume_level_1', 'ask_volume_level_1']].head())What Your Data Looks Like
WIF Sample Data Preview
| timestamp | close_price | bid_volume_level_1 | ask_volume_level_1 | bid_distance_level_1 |
|---|---|---|---|---|
| 2025-06-15 12:00:00 | 2.15 | 22000.0 | 20200.5 | 4.2 |
| 2025-06-15 12:05:00 | 2.17 | 23500.2 | 19500.3 | 4.0 |
| 2025-06-15 12:10:00 | 2.15 | 21000.7 | 21500.1 | 4.4 |
| 2025-06-15 12:15:00 | 2.19 | 25000.4 | 18500.8 | 3.8 |
| 2025-06-15 12:20:00 | 2.17 | 22800.1 | 20000.6 | 3.9 |
Dataset Schema
| Column | Type | Description |
|---|---|---|
| timestamp_utc | DateTime | ISO 8601 UTC timestamp of bar open |
| instrument_symbol | String | Trading pair (e.g., BTC-USDT) |
| open_price | Float | Mid-price at bar open |
| high_price | Float | Highest mid-price in bar |
| low_price | Float | Lowest mid-price in bar |
| close_price | Float | Mid-price at bar close |
| interval_traded_volume | Float | Taker flow volume proxy |
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Frequently Asked Questions
What is the WIF (dogwifhat) orderbook dataset?+
The WIF dataset contains historical Level 2 orderbook depth data for the WIF-USDT perpetual futures market on Hyperliquid DEX. It includes 96,000 rows of 5-minute bars with 47 columns capturing bid/ask volumes and distances at 10 depth levels — providing institutional-grade microstructure intelligence for dogwifhat. Capture dogwifhat's extreme volatility microstructure — the leading Solana memecoin. WIF depth data reveals how viral social media events create rapid liquidity vacuums, flash crashes, and recovery patterns — essential training data for high-volatility ML models.
How large is the WIF dataset?+
The WIF 5-minute dataset contains approximately 96,000 rows and is approximately 9 MB in compressed CSV format. Each row has 47 columns including OHLCV prices, cumulative bid and ask volumes at 10 depth levels, and bid/ask distances measured in basis points from mid-price.
What time period does the WIF data cover?+
The WIF dataset covers the period from Mar 1, 2025 to Feb 28, 2026 — approximately 12 months of continuous 5-minute bars sourced from Hyperliquid DEX perpetual futures. This provides a full market cycle of dogwifhat orderbook microstructure data for backtesting and quantitative research.