TIA Historical Level 2 Orderbook Data
TIA-USDT·Hyperliquid DEX·5-Minute Bars·10-Level Depth
Examine Celestia's modular data availability layer impact on derivatives liquidity. TIA depth data captures orderbook reactions to Blobstream integrations, DA fee market dynamics, and modular blockchain thesis adoption — critical for infrastructure token valuation 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 TIA orderbook depth datasetdf = pd.read_parquet('tia_l2_depth_5m.parquet')print(df[['timestamp', 'bid_volume_level_1', 'ask_volume_level_1']].head())What Your Data Looks Like
TIA Sample Data Preview
| timestamp | close_price | bid_volume_level_1 | ask_volume_level_1 | bid_distance_level_1 |
|---|---|---|---|---|
| 2025-06-15 12:00:00 | 10.85 | 4200.0 | 3850.5 | 3.0 |
| 2025-06-15 12:05:00 | 10.92 | 4450.2 | 3720.3 | 2.9 |
| 2025-06-15 12:10:00 | 10.88 | 4050.7 | 4100.1 | 3.1 |
| 2025-06-15 12:15:00 | 11.00 | 4700.4 | 3550.8 | 2.7 |
| 2025-06-15 12:20:00 | 10.95 | 4300.1 | 3800.6 | 2.8 |
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 TIA (Celestia) orderbook dataset?+
The TIA dataset contains historical Level 2 orderbook depth data for the TIA-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 Celestia. Examine Celestia's modular data availability layer impact on derivatives liquidity. TIA depth data captures orderbook reactions to Blobstream integrations, DA fee market dynamics, and modular blockchain thesis adoption — critical for infrastructure token valuation models.
How large is the TIA dataset?+
The TIA 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 TIA data cover?+
The TIA 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 Celestia orderbook microstructure data for backtesting and quantitative research.