HPotter

FVE (Volatility Modified)

This is another version of FVE indicator that we have posted earlier
in this forum.
This version has an important enhancement to the previous one that`s
especially useful with intraday minute charts.
Due to the volatility had not been taken into account to avoid the extra
complication in the formula, the previous formula has some drawbacks:
The main drawback is that the constant cutoff coefficient will overestimate
price changes in minute charts and underestimate corresponding changes in
weekly or monthly charts.
And now the indicator uses adaptive cutoff coefficient which will adjust to
all time frames automatically.

סקריפט קוד פתוח

ברוח TradingView אמיתית, מחבר הסקריפט הזה פרסם אותו בקוד פתוח, כך שסוחרים יכולים להבין ולאמת אותו. כל הכבוד למחבר! אתה יכול להשתמש בו בחינם, אך שימוש חוזר בקוד זה בפרסום כפוף לכללי הבית. אתה יכול להכניס אותו למועדפים כדי להשתמש בו בגרף.

כתב ויתור

המידע והפרסומים אינם אמורים להיות, ואינם מהווים, עצות פיננסיות, השקעות, מסחר או סוגים אחרים של עצות או המלצות שסופקו או מאושרים על ידי TradingView. קרא עוד בתנאים וההגבלות.

רוצה להשתמש בסקריפ זה בגרף?
////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 02/06/2014
// This is another version of FVE indicator that we have posted earlier 
// in this forum.
// This version has an important enhancement to the previous one that`s 
// especially useful with intraday minute charts.
// Due to the volatility had not been taken into account to avoid the extra 
// complication in the formula, the previous formula has some drawbacks:
// The main drawback is that the constant cutoff coefficient will overestimate 
// price changes in minute charts and underestimate corresponding changes in 
// weekly or monthly charts.
// And now the indicator uses adaptive cutoff coefficient which will adjust to 
// all time frames automatically.
////////////////////////////////////////////////////////////
study(title="Volatility Finite Volume Elements", shorttitle="FVI")
Samples = input(22, minval=1)
Perma = input(40, minval=1)
Cintra = input(0.1)
Cinter = input(0.1)
xhl2 = hl2
xhlc3 = hlc3
xClose = close
xIntra = log(high) - log(low)
xInter = log(xhlc3) - log(xhlc3[1])
xStDevIntra = stdev(sma(xIntra, Samples) , Samples)
xStDevInter = stdev(sma(xInter, Samples) , Samples)
xVolume = volume
TP = xhlc3
TP1 = xhlc3[1]
Intra = xIntra
Vintra = xStDevIntra
Inter = xInter
Vinter = xStDevInter
CutOff = Cintra * Vintra + Cinter * Vinter
MF = xClose - xhl2 + TP - TP1
FveFactor = iff(MF > CutOff * xClose, 1, 
             iff(MF < -1 * CutOff * xClose, -1,  0))
xVolumePlusMinus = xVolume * FveFactor
Fvesum = sum(xVolumePlusMinus, Samples)
VolSum = sum(xVolume, Samples)
xFVE = (Fvesum / VolSum) * 100
xEMAFVE = ema(xFVE, Perma)
plot(xFVE, color=green, title="FVI")
plot(xEMAFVE, color=blue, title="FVI EMA")