The atto-Trend is based on a high-level statistical analysis to fit price movements with acceptable smoothness and accuracy as a baseline function. Due to high volatile in markets, this fitting calculation still needs a (re-)smoothing step with a modified Tillson-T3 approach. The fitted and smoothed data is tracking with ATR based trailing stop mechanism.
The indicator is still developing, and at the moment only strategy mode is available, and with no alarm.
It works relatively slow due to statistical calculation step.
great work by you!!
I just created a similar indicator like yours but the value on plotting is slightly different from yours and I am willing to add a multi-timeframe on it.
The logic of code :
atr = atr(pd)
price = (open+high+low)/3
cci = cci(price, pd1)
@AbhijeetGajre, I also write the similar code with yours (super trend +cci), I compare the signal one by one ,it quite diff with author's. I very confused . I guess the cci calculate is not by hlc3 ? or something we don't ....
RandEvolution
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Kullanmama izin verir misiniz? Çok saolun...
sumi0713
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Nice to meet you. Do you grant this strategy authority?
hikmetsezen
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@sumi0713, It is still in development phase. I need time to investigate why it has a low performance for lower periods. Most probably a modification on the main fitting statistical method for lower periods is required. Please give your feedbacks.
Heroturk
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Yeniden mi boyuyor yksa bir kere sinyal verince ayni sekilde kalyor mu , tesekkürler emegine saglk
hikmetsezen
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@Heroturk,
Repainting yapmiyor olmasi lazim, cunku farkli bir zaman araligi kullanmadim. Indikator uzun bir hesaplama yaptigi icin, tradingview de bu hesabinin sonucu degisiyor mu onu gormek lazim. Sonucta matematik hesaplamalarda bazi yuvarlamalar yapiyor olmasi lazim. Suan zaten sadece backtest icin yayinladim. Gozlemlerinizi paylasirsanir menmun olurum.
I just created a similar indicator like yours but the value on plotting is slightly different from yours and I am willing to add a multi-timeframe on it.
The logic of code :
atr = atr(pd)
price = (open+high+low)/3
cci = cci(price, pd1)
up = hl2 - (fact*atr)
dn = hl2 + (fact*atr)
trend = 0
trend := iff(cci > 0, 1, iff(cci < 0, -1, nz(trend[1])))
val = 0.0
val := iff(trend == 1, max(up, nz(val[1])), iff(trend == -1, min(dn, nz(val[1])), nz(val[1])))
I will be grateful if you help me with this.