[FEATURE] implement smart caching for stock data about fastquant HOT 8 CLOSED

@jgendrinal Does your caching have the same behavior as the latter function described above?

from fastquant.

Yup.

from fastquant.

Can you refer to the line? I want to see how you implement it in R.

from fastquant.

To make get_pse_data faster,

• include 5 years historical data of all symbols as cache in /data (~9MB)
• download only newer data if needed

from fastquant.

Will close my previous issue on this, but will add r-dev tag

from fastquant.

Need help handling this issue first (#57) so that we can minimize data being stored in cache

from fastquant.

@jpdeleon, proposing alternative solution:

• Upon first use of get_pse_data, download 3 years worth of stock prices
• Store a csv file named with the ticker symbol and date range in /fq-data folder in current directory of the user

get_pse_data will then execute the following:

• Check to see if symbol is found among files in /fq-data
• Check to see if their query falls outside the date range
• Query to API all necessary files
• Cache additional to combined new csv file in /fq-data folder

from fastquant.

Temporarily closing caching until we can harmonize Python and R caching conventions.

from fastquant.