RicardoSantos

[RS]Timed Percentual Change V0

EXPERIMENTAL: time based percentual change.

note: each series uses it self as base reference so there's a bit a divergence.
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study(title='[RS]Timed Percentual Change V0', overlay=false)
yyyy = input(2015)
mm = input(08)
dd = input(01)
SHOW_EXTREME = input(title='Show Extreme Range:', type=bool, defval=true)
f_get_percentual_src(_yyyy, _mm, _dd, _srctype)=>
    //--> remove data prior to date.
    _src = year < _yyyy or (year <= _yyyy and month < _mm) or (year <= _yyyy and month <= _mm and dayofmonth < _dd)  ? na : _srctype
    _basis_ad = valuewhen( na(_src[1]), _src, 0)
    _return = (_src/_basis_ad)*100

_open = f_get_percentual_src(yyyy, mm, dd, open)
_high = f_get_percentual_src(yyyy, mm, dd, high)
_low = f_get_percentual_src(yyyy, mm, dd, low)
_close = f_get_percentual_src(yyyy, mm, dd, close)
fc = close>open?lime:close<open?red:gray
plotcandle(_open, _high, _low, _close, color=fc, wickcolor=black)
hline(100, color=black)

top_extreme = na(top_extreme[1]) ? _high : max(max(_high, max(_open, _close)), top_extreme[1])
bot_extreme = na(bot_extreme[1]) ? _low : min(min(_low, min(_open, _close)), bot_extreme[1])

plot(not SHOW_EXTREME ? na : top_extreme, color=change(top_extreme)!=0?na:black)
plot(not SHOW_EXTREME ? na : bot_extreme, color=change(bot_extreme)!=0?na:black)
plot(not SHOW_EXTREME ? na : avg(top_extreme, bot_extreme), color=change(avg(bot_extreme, top_extreme))!=0?silver:black)

kiross
a year ago
Can you make a "price based percentual change" instead, and exclude the time? The time just makes noise. We onlyc are about the price. And make the input so we can choose how many candles we will calcuate the price change for.
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