Electronic apparatus for providing information related to asset price and method therefor

A computer-readable non-transitory recording medium storing a program for executing a method, the method comprising:

• obtaining time series data for a first time period for a price of a first item;
• setting a second time period with a plurality of unit times within the first time period;
• setting an extraction frequency of an extremum point for the price of the first item during the second time period;
• initially setting a time variable, a price variable and a search direction variable related to the time series data, the search direction variable corresponding to a type of the extremum point to be searched;
• updating the time variable, the price variable or the search direction variable in each of the unit times under the extraction frequency during the second time period, and searching for the extremum point in the time series data during the second time period;
• and
• generating extremum point data including the extremum point and a timepoint corresponding to the extremum point.

An electronic apparatus of providing information related to an asset price, comprising:

• at least one processor;
• and
• a memory configured to store one or more instructions executed by the at least one processor,
• wherein the at least one processor, by executing the one or more instructions, is configured to:
• obtain time series data for a first time period for a price of a first item;
• set a second time period with a plurality of unit times within the first time period;
• set an extraction frequency of an extremum point for the price of the first item during the second time period;
• initially set a time variable, a price variable and a search direction variable related to the time series data, the search direction variable corresponding to a type of the extremum point to be searched;
• update the time variable, the price variable or the search direction variable in each of the unit times under the extraction frequency during the second time period, and search for the extremum point in the time series data during the second time period;
• and
• generate extremum point data including the extremum point and a timepoint corresponding to the extremum point.