hello Mr Tools everything is fine?
For some time now, I've been wondering what it would be like to combine RSI + Z Score, as they are two indicators that I really like.
I discovered today that it already exists, could you convert this Tradingview code including your RSIs + averages + RMAs please? I imagine that other averages could greatly improve the smoothing.
Thank you very much, in advance
Code: Select all
//@version=4
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// Z-Score of RSI
// by SparkyFlary
study(title="Z-Score of RSI", overlay=false)
length = input(11, title="Length")
avgType = input("RMA", title="RSI and Standard deviation Average type", options=["RMA", "EMA", "SMA"])
src = input(close, title="Source for RSI")
n = input(2.0, title="Number of Standard deviations for OB/OS", minval=0)
movAvg_(avgType_, src_, length_) =>
avg = 0.0
if avgType_=="RMA"
avg := rma(src_, length_)
else if avgType_=="EMA"
avg := ema(src_, length_)
else
avg := sma(src_, length_)
avg
//standard deviation from Tradingview
isZero_(val_, eps_) => abs(val_) <= eps_
SUM_(fst_, snd_) =>
EPS = 1e-10
res = fst_ + snd_
if isZero_(res, EPS)
res := 0
else
if not isZero_(res, 1e-4)
res := res
else
15
stdev_(avgType_, src_, length_) =>
avg = movAvg_(avgType_, src_, length_)
sumOfSquareDeviations = 0.0
for i = 0 to length_ - 1
sum = SUM_(src_[i], -avg)
sumOfSquareDeviations := sumOfSquareDeviations + sum * sum
stdev = sqrt(sumOfSquareDeviations / length_)
num = movAvg_(avgType, src - src[1], length)
denom = movAvg_(avgType, abs(src - src[1]), length)
rsi_ratio = num/denom // RS part of the RSI
avg = movAvg_(avgType, rsi_ratio, length)
dev = stdev_(avgType, rsi_ratio, length)
zscore = (rsi_ratio - avg) / dev
hline(n, "Upper band", color=#C0C0C0, linestyle=hline.style_solid, linewidth=2)
hline(-n, "Lower band", color=#C0C0C0, linestyle=hline.style_solid, linewidth=2)
hline(0, "Middle line", color=#C0C0C0, linestyle=hline.style_dashed, linewidth=1)
plot(zscore, title="Z-score", color=zscore>0?color.green:color.red)
bgcolor(zscore>n?color.red:zscore<-n?color.green:na)
