Help, keep looping a future warning when running all strategies on script! about pandas-ta HOT 4 CLOSED

Hello @shingtat2,

This is a known Issue and is described in Issue #181 which is a pinned Issue at the TOP of the Issue list.

Kind Regards
KJ

from pandas-ta.

Hello @shingtat2,

This is a known Issue and is described in Issue #181 which is a pinned Issue at the TOP of the Issue list.

Kind Regards KJ

Yes I have read the post and solution to use main and my codes is already in def main(): but the issue still exist. Any other ways or tips to get it working?

def main():
    freeze_support()
    # Save the current warning settings
    current_warnings = warnings.filters.copy()
    # Suppress all warnings
    warnings.filterwarnings('ignore')
    # Redirect standard output to null
    sys.stdout = open(os.devnull, 'w')
    # Suppress logging
    logger = logging.getLogger()
    original_level = logger.getEffectiveLevel()
    logger.setLevel(logging.CRITICAL + 1)
    # Suppress only FutureWarnings
    warnings.simplefilter(action='ignore', category=FutureWarning)
    warnings.simplefilter(action='ignore', category=all)
    warnings.filterwarnings('ignore')

    try:
        df.ta.strategy(verbose=True, append=True)
    except Exception as e:
        # Handle any exception that might be raised
        print(f"An error occurred: {e}")
        
    # Restore the original warning settings
    warnings.filters = current_warnings
    

    print(df)

if __name__ == '__main__':
    main()

from pandas-ta.

@shingtat2

For one thing, you should be using the development version for many reasons I will not include here.

Also, append=True is redundant when using df.ta.strategy() (or df.ta.study() in development). Either automatically appends to the DataFrame.

So change: df.ta.strategy(verbose=True, append=True) to df.ta.study(cores=0, verbose=True) (after installing the development branch.

Lastly, I recommend not using multiprocessing because it most cases it is not more performant.

from pandas-ta.

Hello @shingtat2

I assume by no response that the solution provided was sufficient. Thus I will be closing this issue in a few days.

Kind Regards,
KJ

from pandas-ta.