{"record":{"id":"6a45ed933032aab2","repo":"OpenBB-finance/OpenBB","slug":"window-window-is-greater-than-the-input-data-l","errorCode":null,"errorMessage":"Window '{window}' is greater than the input data length '{len(input_data)}'","messagePattern":"Window '(.+?)' is greater than the input data length '(.+?)'","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"openbb_platform/extensions/quantitative/openbb_quantitative/helpers.py","lineNumber":78,"sourceCode":"\n\ndef validate_window(input_data: Union[\"Series\", \"DataFrame\"], window: int) -> None:\n    \"\"\"Validate the window input.\n\n    Parameters\n    ----------\n    input_data : Union[Series, DataFrame]\n        The input data to be validated.\n    window : int\n        The window to be validated.\n\n    Raises\n    ------\n    ValueError\n        If the window is greater than the input data length.\n    \"\"\"\n    if window > len(input_data):\n        raise ValueError(\n            f\"Window '{window}' is greater than the input data length '{len(input_data)}'\"\n        )\n","sourceCodeStart":60,"sourceCodeEnd":81,"githubUrl":"https://github.com/OpenBB-finance/OpenBB/blob/3e071fcc2cd9f891cac6040ae60296dba76dab46/openbb_platform/extensions/quantitative/openbb_quantitative/helpers.py#L60-L81","documentation":"validate_window in openbb_quantitative/helpers.py raises when the requested rolling/statistics window is larger than the number of observations in the input Series/DataFrame, since such a computation would produce all-NaN results.","triggerScenarios":"Calling quantitative endpoints (e.g. rolling statistics, summary metrics with a window parameter) with window > len(input_data): passing window=100 with only 50 rows of price history.","commonSituations":"Short historical fetches (limit=30) combined with large windows; intraday data with fewer bars than expected; hardcoded window values reused across tickers with different listing ages.","solutions":["Reduce the window parameter to at most len(data).","Fetch more history (increase limit / extend start_date) so the window fits.","Compute the window dynamically, e.g. window = min(window, len(data)) when full history is unavailable.","Skip symbols whose history is shorter than the window before calling."],"exampleFix":"# before\nobb.quantitative.rolling_window(data, window=200)  # data has 50 rows\n\n# after\nwindow = min(200, len(data))\nobb.quantitative.rolling_window(data, window=window)","handlingStrategy":"validation","validationCode":"from openbb_quantitative.helpers import validate_window\nvalidate_window(input_data=data, window=window)  # raises before compute with a clear message","typeGuard":"def window_fits(data, window: int) -> bool:\n    return window <= len(data)","tryCatchPattern":"try:\n    result = compute(data, window=window)\nexcept ValueError as e:\n    if \"greater than the input data length\" in str(e):\n        window = len(data)\n        result = compute(data, window=window)\n    else:\n        raise","preventionTips":["Fetch history at least as long as the window","Derive window from len(data) when history is fixed","Skip short series in batch jobs"],"tags":["window","validation","quantitative","insufficient-data"],"backgroundTag":null,"analyzedSha":"3e071fcc2cd9f891cac6040ae60296dba76dab46","analyzedAt":"2026-08-14T23:40:48.960Z","schemaVersion":2},"datasetVersion":"2026-08-15T22:17:37.221Z"}