Function Mean Median Mode V0
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)