lake.intraday_options dataset schema

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Current logical schema for lake.intraday_options

Query lake.intraday_options using the column names and types below. The query validator and engine use this logical catalog; a field absent from an older shard returns typed NULL.

Save this page's SQL as query.sql and the runner below as query.py. Use a registered key with lake scope from Developers. The runner submits the displayed intraday_options query once, saves its operation, waits on that same ID, saves the returned manifest and downloads its Parquet parts.

This submission has not been executed for the reference page. Inspect the SQL, dates and resource limits before running it. Reuse the request key only for this identical SQL and limits; use a new key when changing them.

python3 -m pip install nexustrade==1.42.0
export NEXUSTRADE_API_KEY="YOUR_LAKE_SCOPED_KEY"
python3 query.py

import json
from pathlib import Path
from nexustrade import NexusTradeClient

# Save the SQL displayed on this page as query.sql.
sql = Path("query.sql").read_text()
client = NexusTradeClient.from_environment()
operation = client.create_lake_query(
    {"query": sql, "limits": {"timeoutSeconds": 30, "maxRows": 50,
                              "maxResultBytes": 1048576}},
    idempotency_key="reference-intraday_options-20261012-v1",
)
Path("query-operation.json").write_text(json.dumps(operation, indent=2))
finished = client.wait_for_lake_query(operation["id"])
if finished["status"] != "completed":
    raise RuntimeError(finished)
manifest = client.get_lake_query_manifest(operation["id"])["result"]
Path("query-manifest.json").write_text(json.dumps(manifest, indent=2))
print(json.dumps(manifest, indent=2))
for part in manifest["parts"]:
    Path(f"query-{part['part']}.parquet").write_bytes(
        client.download_lake_query_part(operation["id"], part["part"], max_bytes=1048576)
    )

Minute-level options bars, roughly one year of history. Requires a literal `timestamp` range. One object per day, so the range decides what is read and an unbounded query is rejected: e.g. `timestamp >= TIMESTAMP '2026-09-01' AND timestamp < TIMESTAMP '2026-09-19'`, with an explicit `underlying` list. For coverage questions (first/last date on file), bound a window or use lake.options_daily.

Minute-grain `options_daily`, with the same `underlying`-not-`ticker` filtering rule. History is roughly one year — do not assume a start date, and do not scan the whole table to find it: check `MIN(timestamp)` inside a bounded window. Always give an explicit `underlying` list and a bounded range.