EXPERIMENTAL:
Request for GLAZ
Functions to handle Mean, Median, Mode Calculation.
Request for GLAZ
Functions to handle Mean, Median, Mode Calculation.
//@version=2 study(title='Function Mean Median Mode V0', overlay=true) mean(_src, _length)=> _return = sum(_src, _length) / _length median(_src, _length)=> _return = _src for _i = 0 to _length _return := _return == 0 ? _src : (_return + _src[_i]) / 2 _return mode_occurance(_value, _src, _length, _discrepancy_range)=> _current_value_occurance = 0 for _i = 0 to _length if (_src[_i] >= _value - _discrepancy_range and _src[_i] <= _value + _discrepancy_range) _current_value_occurance := _current_value_occurance + 1 _return = _current_value_occurance mode(_src, _length, _discrepancy_range)=> _highest_occurence_value = 0 _highest_occurance_number = 0 for _i = 0 to _length _current_value_occurance = mode_occurance(_src[_i], _src, _length, _discrepancy_range) if (_current_value_occurance > _highest_occurance_number) _highest_occurance_number := _current_value_occurance _highest_occurence_value := _src[_i] _return = _highest_occurence_value l = input(20) r = input(0, type=float) plot(series=mean(close, l), title='Mean', color=blue) plot(series=median(close, l), title='Median', color=red) plot(series=mode(close, l, r), title='Mode', color=black)