> ## Documentation Index
> Fetch the complete documentation index at: https://quantura.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Q Download

> Preview and export the same verified market-history snapshot.

Select a market in **Q Search**, then **Q Download**. Choose latest N
observations or a local-time date range, interval and **Preview**.
CSV/JSON export that exact snapshot; changing settings invalidates it.

* **Stocks:** Auto provider, split-adjusted by default, regular/extended sessions.
* **Options:** select the actual expiration and contract; coverage varies.
* **Event contracts:** up to 25 outcomes from one provider; IDs distinguish every side.
* **Perpetuals:** prices use underlying units, not binary probabilities.

Event history supports pregame, in-game, both or Auto. Auto switches to in-game
after 32 elapsed game minutes when the provider verifies start time.
Missing rows are not invented. Exports use UTC; form dates use your device timezone.

```bash theme={null}
curl -X POST https://quantura.studio/api/market-data/stocks/history \
  -H 'Content-Type: application/json' \
  -d '{"symbol":"AAPL","source":"auto","timeframe":"1Day","limit":500,"adjustment":"split","format":"json"}'
```

The response identifies the actual provider and rows. Use `format: "csv"`
for a direct CSV attachment. Cancel preview to stop waiting.

**Upload CSV** still forecasts your own series. Existing authenticated
workspace-file clients remain supported; those operations are no longer
published in docs or MCP discovery.

## Intervals and Dukascopy

Stocks and Dukascopy expose 5m, 15m, 30m, 4h, weekly and calendar-month bars in addition to minute/hour/day. Dukascopy uses its published instrument catalog, preserves bid or ask selection and downloads candle archives rather than annual ticks. Follow paged JSON cursors before exporting. Kalshi/Polymarket event and perpetual intervals follow their actual available history; missing bars remain missing. Options retain their minute/hour/day contract. See [Forecast intervals](/docs/forecast-frequencies).


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