Datasets:
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license: other
license_name: tesseralytics.dev-terms-of-service
task_categories:
- time-series-forecasting
pretty_name: >-
Tessera Analytics Hyperliquid Order-Flow OHLCV 1m — free sample (BTC, ETH,
SOL, HYPE, 2026-08 → 2026-08)
tags:
- crypto
- hyperliquid
- ohlcv
- order-flow
- cvd
- perpetual-futures
size_categories:
- 100K<n<1M
configs:
- config_name: BTC
data_files:
- ohlcv_1m_BTC_*.csv.gz
- config_name: ETH
data_files:
- ohlcv_1m_ETH_*.csv.gz
- config_name: SOL
data_files:
- ohlcv_1m_SOL_*.csv.gz
- config_name: HYPE
data_files:
- ohlcv_1m_HYPE_*.csv.gz
Tessera Analytics Hyperliquid Order-Flow OHLCV (1-minute) — free sample
A growing monthly sample of gold_ohlcv_1m, the
order-flow-enriched 1-minute OHLCV dataset served by Tessera Analytics:
open / high / low / close and volume for every minute, plus the order-flow context raw candles can't
show — the aggressor buy/sell volume split, cumulative volume delta (CVD), distinct taker counts,
taker fees and realized PnL, and the hourly forward-filled funding rate.
Coverage: BTC, ETH, SOL, HYPE · 2026-08 → 2026-08 (UTC, month-grained) ·
178,506 rows · 25 columns · 1-minute bars, one gzipped CSV per coin per month
(ohlcv_1m_<COIN>_<YYYY-MM>.csv.gz). A new month is appended a few days after it closes.
| Coin | Months | Rows | CSV (gz) |
|---|---|---|---|
| BTC | 1 (2026-08→2026-08) | 44,628 | 4.8 MB |
| ETH | 1 (2026-08→2026-08) | 44,626 | 4.5 MB |
| SOL | 1 (2026-08→2026-08) | 44,625 | 4.1 MB |
| HYPE | 1 (2026-08→2026-08) | 44,627 | 4.6 MB |
Source & provenance
Produced by the Tessera Analytics gold pipeline (Rust workers orchestrated by Dagster): raw Hyperliquid L1
trade and funding data is ingested nightly from the Hyperliquid node archive, transformed through
bronze → silver → gold stages, and published as Parquet. Each month's file is exported from the same
production partition the API serves once that partition is final — the sample is refreshed monthly
(appended, never truncated); the live API gets nightly updates. Per-month revisions are tagged
(v<YYYY-MM> of the push that first added that month).
Quickstart
Load locally (the sample is plain gzipped CSV):
import polars as pl
df = pl.read_csv("ohlcv_1m_BTC_*.csv.gz")
print(df.select("time", "close", "cvd").tail())
Or pull live data with the official tessera-api Python SDK
(free API key, no card, at tesseralytics.dev):
import tessera
client = tessera.TesseraClient() # reads $TESSERA_API_KEY
df = client.read("gold_ohlcv_1m", "BTC", "2026-05")
print(df.select("time", "close", "cvd").tail())
The MCP server exposes the same datasets to Claude and other MCP clients; the full dataset catalog is at tesseralytics.dev/datasets.
Data dictionary
time is the start of the minute (UTC; each bar covers [time, time+1min), so lag one bar before
joining to point-in-time data). All columns are non-null.
| Column | Meaning |
|---|---|
time |
Minute-bar start timestamp, UTC |
coin |
Market symbol (this sample: BTC, ETH, SOL, HYPE) |
open / high / low / close |
Candle prices for the minute |
volume |
Total traded volume in the minute |
buy_vol / sell_vol |
Volume on aggressor-buy / aggressor-sell fills |
aggressor_delta |
buy_vol − sell_vol (per-bar) |
cvd |
Running cumulative aggressor_delta, continuous across day/month boundaries (not reset within a file) |
trade_count |
Number of trades in the minute |
unique_takers |
Distinct taker accounts in the minute |
vwap |
Minute VWAP |
total_fees / taker_fees / maker_fees |
Fee aggregates for the minute |
taker_open_long_vol / taker_open_short_vol / taker_close_long_vol / taker_close_short_vol |
Taker volume by open/close, long/short leg |
closed_pnl_long / closed_pnl_short |
Realized PnL by side |
funding_rate |
Hourly funding rate, forward-filled from funding events |
bootstrap_source |
Running-state carry-over (carried_from_prior once history exists, cold_start at genesis) |
Known gaps
Scattered minute-level gaps — 54 missing minutes of 178,560 (0.03%) so far, where the upstream Hyperliquid node archive had no data. No hour is fully missing.
Limitations
- Sample window: this sample starts 2026-08 and grows month by month; the full dataset on the API has complete multi-month history (from October 2025). The first sample month's CVD / funding state is already stitched to the prior month's, so running-state columns are continuous even where the sample itself begins mid-history.
- Running state (
cvd,funding_rate) is per-coin continuous across appended months. - Fees, realized PnL, funding, and open/close leg volumes reflect Hyperliquid's taker/maker model only — this is DEX perp data, not CEX data.
Go beyond the sample
Pro ($29/mo) unlocks the full history (from October 2025) plus all coins — including HIP-3 markets —
and the gold_funding_1h and gold_positioning_1h datasets, via the same API. Free tier: gold_ohlcv_1m
for BTC/ETH/SOL/HYPE, trailing 30 days, free key at tesseralytics.dev.
Citation
Derived from raw Hyperliquid L1 data, processed and served by Tessera Analytics (https://tesseralytics.dev). Terms: https://tesseralytics.dev/terms — data is provided "as is", nothing here is financial advice.