---
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`](https://tesseralytics.dev/datasets/gold_ohlcv_1m), the
order-flow-enriched 1-minute OHLCV dataset served by [Tessera Analytics](https://tesseralytics.dev):
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):

```python
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`](https://pypi.org/project/tessera-api/) Python SDK
(free API key, no card, at [tesseralytics.dev](https://tesseralytics.dev)):

```python
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](https://tesseralytics.dev/mcp-server) exposes the same datasets to Claude and other
MCP clients; the full dataset catalog is at
[tesseralytics.dev/datasets](https://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](https://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.