Stochastic evolution
It seems more efficient than the traditional stochastic
Over bought when the green line is over 50
Over sold when the red line is over 50
Parameter “b” can be optimized for any timeframe and security (period of the calculation).
Combined with patterns or divergences It gives very good signals
Try It if you wont and give me feedback
//settings:
//b=20
if low < low[1] then
llv = (highest[b](low)-low)/(highest[b](low)-lowest[b](low))
else
llv = 0
endif
LLSv = exponentialAverage[b](LLv)*100
if high > high[1] then
hhs = (high - lowest[b](high))/(highest[b](high)-lowest[b](high))
else
hhs=0
endif
hhsv = exponentialaverage[b](hhs)*100
return hhsv coloured(0,250,0) style(line,2),llsv coloured(300,0,0) style(line,2),50 coloured(300,0,0) style(line,2)
Comments
You must be logged in to post a comment.
Nice Pier, I put inside also the adx ....
//settings
//b=20
if low < low[1] then
llv = (highest[b](low)-low)/(highest[b](low)-lowest[b](low))
else
llv = 0
endif
LLSv = exponentialAverage[b](LLv)*100
if high > high[1] then
hhs = (high - lowest[b](high))/(highest[b](high)-lowest[b](high))
else
hhs=0
endif
hhsv = exponentialaverage[b](hhs)*100
myadx=adx[b]
return hhsv coloured(0,250,0) style(line,2),llsv coloured(300,0,0) style(line,2),50 coloured(300,0,0) style(line,2),myadx
Indicator not working in Beta Version 11.1 , Any idea ??