| --- |
| 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. |
