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metadata
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.