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Documentation Index

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Query Parameter Combinations

This guide explains the main parameters for CloudQuant Data Liberator queries and the expected results from different combinations.

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Core Parameters

ParameterDescriptionDefault
nameDataset identifier (required)—
symbolsSingle symbol or list, e.g. ['AAPL','GOOG','MSFT']None (all symbols)
back_toQuery start dateNone
as_ofQuery end dateCurrent date/time
fieldsSpecify desired columns to reduce download timeAll columns
statsSet to 'Total' for symbol counts instead of full results—
Use liberator.datasets(entitled=True) to list all datasets available to you.

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Query Examples

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All Parameters Included

df = liberator.get_dataframe(liberator.query(
    name = 'daily_bars',
    as_of = '2024-07-24',
    back_to = '2024-07-16',
    symbols = ['AAPL', 'GOOGL']))
Returns data for specified symbols within the date range.

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Without Symbols

df = liberator.get_dataframe(liberator.query(
    name = 'daily_bars',
    as_of = '2024-07-24',
    back_to = '2024-07-16'))
Defaults to all available symbols.

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Without as_of

df = liberator.get_dataframe(liberator.query(
    name = 'daily_bars',
    back_to = '2024-07-22'))
Defaults as_of to current time, returning data from present back to specified date.

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Without back_to

df = liberator.get_dataframe(liberator.query(
    name = 'daily_bars',
    as_of = '2023-12-25'))
Returns the most recent data point per symbol as of the specified date. Look-back distance varies by dataset density.

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Minimal Query (Name Only)

df = liberator.get_dataframe(liberator.query(name = 'daily_bars'))
Returns the latest data point for all symbols in the dataset.