RandomDataProvider¶

class RandomDataProvider(tickers=None, stockmarket=StockMarket.RANDOM, start=datetime.datetime(2016, 1, 1, 0, 0), end=datetime.datetime(2016, 1, 30, 0, 0), seed=None)[source]¶

Pseudo-randomly generated mock stock-market data provider.

Initializer :type tickers: Union[str, List[str], None] :param tickers: tickers :type stockmarket: StockMarket :param stockmarket: RANDOM :type start: <module ‘datetime’ from ‘/usr/lib/python3.7/datetime.py’> :param start: first data point :type end: <module ‘datetime’ from ‘/usr/lib/python3.7/datetime.py’> :param end: last data point precedes this date :type seed: Optional[int] :param seed: shall a seed be used?

Raises: QiskitFinanceError – provider doesn’t support stock market value

Methods

`RandomDataProvider.get_coordinates`()	Returns random coordinates for visualisation purposes.
`RandomDataProvider.get_covariance_matrix`()	Returns the covariance matrix.
`RandomDataProvider.get_mean_vector`()	Returns a vector containing the mean value of each asset.
`RandomDataProvider.get_period_return_covariance_matrix`()	Returns a vector containing the mean value of each asset.
`RandomDataProvider.get_period_return_mean_vector`()	Returns a vector containing the mean value of each asset.
`RandomDataProvider.get_similarity_matrix`()	Returns time-series similarity matrix computed using dynamic time warping.
`RandomDataProvider.run`()	Generates data pseudo-randomly, thus enabling get_similarity_matrix and get_covariance_matrix methods in the base class.