ЗАВЕРШЕНО Покупка индикатора YellowArrows

фыва

Member
Premium
Те, кто уже просит вернуть деньги- нилов отвечает, что возврат денег через 45 рабочих дней.

это через два с лишним месяца... хахахах
 
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Klaus

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Premium
РЕБЯТА, ПРОВЕРЯЕМ УВЕДОМЛЕНИЯ В ПРАВОМ ВЕРХНЕМ УГЛУ.
 

Veter

New Member
Premium
Да уж...ну и где же заявленные 98% положительных сиглалов?? Вот мля этого автора посадить за комп с этим индюком и сказать если не сделаешь 98% прибыльных сделок, поломаем обе сука тебе руки, и ещё одну ногу по твоему желанию...и вот интересно стал бы он это говно людям впаривать или может подумал бы...а стоит ли на...бывать народ.
 
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фыва

Member
Premium
Вот теперь и вывод, почему вовремя никому он не прислал и всей этой мышиной возни: т.к индикатор V 2015 полное фуфло, чтоб собрать с людей по-больше денег и была придумана история с переписыванием на MT4. Ребят, как хорошо, что не так много денег мы потеряли.
 

Andry8882

Member
Premium
можете сказать где сам индикатор?

а то меня перебрасывает на начальную страницу

у меня в уведомлениях ничего нет((((
 
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фыва

Member
Premium
у меня в уведомлениях ничего нет((((
не парься, можешь даже не тратить времени.. твоих ожиданий он не оправдает.
на этом история и существование так называемой YellowArrows заканчивается навсегда, а для всех это будет просто уроком, что кнопки БАБЛО не существует.
 

Maks72

Member
Premium
Индикатор прислали в конце месяца перед праздниками, когда брокеры меняют котировки. За один день невозможно сказать о качестве сигналов. Тестировать индикатор надо после праздников, неделю минимум. и только потом делать выводы.
 

Мухит

New Member
Premium
Ребят а не должно быть два индикатора? один желтый другой зеленый с красными стрелками?
 

фыва

Member
Premium
Ребят, у меня этот же индикатор с тестером, кому нужно, обращайтесь.
 

Andry8882

Member
Premium
может внутр настройки надо поменять. на видео же совсем другое
 

Klaus

Member
Premium
В общем друзья, индикатор yellowarrows - полная чепуха. И пусть об этом знают все.

Yellow Arrows 2014:

[HIDE=10]
Код:
# TS_Yellowarrows
# http://yellowarrows.ru
# admin@thinkswimindicator.com
# Last Update 15 Feb 2015
input ShowTodayOnly = no;
input ShowExtraDays = 0;
input ArrowsOn = yes;
input TracerLinesOn = no;
input stdevLength = 5;
input avgOfStdevLength = 10;
input DYMILength = 60;
input DYMILengthLowerLimit = 10;
input DYMILengthUpperLimit =60;
input length = 8;
input price=close;
input filterOutSignalsBelow = 7;
assert(DYMILengthLowerLimit > 0, "'dymi length lower limit' must be positive: " + DYMILengthLowerLimit);
assert(DYMILength between DYMILengthLowerLimit and DYMILengthUpperLimit, "'dymi length' must be between lower and upper limit: " + DYMILength);
def Today = if !ShowTodayOnly then 1 else if GetDay() + ShowExtraDays >= GetLastDay() && GetYear() == GetLastYear() then 1 else 0;
input ArrowSpace = .233;
def space = Average(high - low) * ArrowSpace;
def std = stdev(price, stdevLength);
def ratio = std / Average(std, avgOfStdevLength);
def dynamicLength = Floor(DYMILength / ratio);
def limitedLength = if dynamicLength between DYMILengthLowerLimit and DYMILengthUpperLimit then dynamicLength else 0;
def sf = 5/ (limitedLength + 1);
def bn = Max(barNumber(), 0);
def body = AbsValue(open-close);
def larger = if low[1] > high[-1] and body > body[1] and body > body[2] and body > body[3] then 1 else 0;
# 10^-5 precision for ema multiplier
def expIndex = if limitedLength == 0 then 1 else max(1, bn - ceil(-5 / lg(1 - sf)));
def fromIndex = if isNan(expIndex) then 1 else expIndex; def chg = price - price[1];
def absChg = AbsValue(chg);
def netChgAvg = fold indexN = fromIndex to bn + 1 with accuN do sf * (if isnan(getValue(chg, bn - indexN)) then 0 else getValue(chg, bn - indexN)) + (1 - sf) * accuN;
def totChgAvg = fold indexT = fromIndex to bn + 1 with accuT do sf * (if isnan(getValue(absChg, bn - indexT)) then 0 else getValue(absChg, bn - indexT)) + (1 - sf) * accuT;
def RSI = if totChgAvg != 0 and limitedLength != 0 then 50 * (netChgAvg / totChgAvg + 1) else RSI[1];
def DYMI = RSI;
def OverBought = 95;
def OverSold = 5;
def VarP = round(length / 5);
def VarA = Highest(high, VarP) - Lowest(low, VarP);
def VarR1 = if VarA == 0 and VarP == 1 then AbsValue(close - close[VarP]) else VarA;
def VarB = Highest(high, VarP)[VarP + 1] - Lowest(low, VarP)[VarP];
def VarR2 = If VarB == 0 and VarP == 1 then AbsValue(close[VarP] - close[VarP * 2]) else VarB;
def VarC = Highest(high, VarP)[VarP * 2] - Lowest(low, VarP)[VarP * 2];
def VarR3 = If VarC == 0 and VarP == 1 then AbsValue(close[VarP * 2] - close[VarP * 3]) else VarC;
def VarD = Highest(high, VarP)[VarP * 3] - Lowest(low, VarP)[VarP * 3];
def VarR4 = If VarD == 0 and VarP == 1 then AbsValue(close[VarP * 3] - close[VarP * 4]) else VarD;
def VarE = Highest(high, VarP)[VarP * 4] - Lowest(low, VarP)[VarP * 4];
def VarR5 = If VarE == 0 and VarP == 1 then AbsValue(close[VarP * 4] - close[VarP * 5]) else VarE;
def LRange = ((VarR1 + VarR2 + VarR3 + VarR4 + VarR5) / 5) * 0.2;
def Var0 = if AbsValue(close - close[1]) > (high - low) then AbsValue(close - close[1]) else (high - low);
def LRange2 = if high == low then Average(AbsValue(close - close[1]), 1) * 0.2 else Average(Var0, 1) * 0.2;
def range = high + low;
def delta = high - low;
def median = range / 2;
def floatingAxis = Average(median, length);
def dynamicVolatilityUnit = if length <= 9 then LRange2 else LRange;
def relativeHigh = (high - floatingAxis) / dynamicVolatilityUnit;
def relativeLow = (low - floatingAxis) / dynamicVolatilityUnit;
def relativeOpen = (open - floatingAxis) / dynamicVolatilityUnit;
def relativeClose = (close - floatingAxis) / dynamicVolatilityUnit;
def h = relativeHigh;
def l = relativeLow;
def sellDivergence = if high > high[1] and relativeHigh < relativeHigh[1] and relativeHigh[1] > filterOutSignalsBelow then 1 else 0;
def buyDivergence = if low < low[1] and relativeLow > relativeLow[1] and relativeLow[1] < -filterOutSignalsBelow then 1 else 0;
def BuyIt = PPS().buysignal;
def SellIt = PPS().sellsignal;
def hiddenDivergenceUp = if low > low[1] and relativeLow < relativeLow[1] then 1 else 0;
def hiddenDivergenceDown = if high < high[1] and relativeHigh > relativeHigh[1] then 1 else 0;
rec PriceAtBuy = if barNumber() == 1 then close else if !IsNaN(BuyIt[0]) then open[0] else PriceAtBuy[1];
rec PriceAtSell = if barNumber() == 1 then close else if !IsNaN(SellIt[0]) then open[0] else PriceAtSell[1];
rec trigger = if PriceAtBuy <> PriceAtBuy[1] then -1 else if PriceAtSell <> PriceAtSell[1] then 1 else trigger[1];
plot upArrow =DYMI<=OverSold AND if buyDivergence then low else double.nan AND if !Today or !ArrowsOn then Double.NaN else BuyIt - space AND if TracerLinesOn && trigger == -1 then PriceAtBuy else Double.NaN and if high[1] < low[-1] and body > body[1] and body > body[2] and body > body[3] then 1 else 0;
upArrow.SetPaintingStrategy(
paintingStrategy.BOOLEAN_ARROW_UP);
upArrow.SetDefaultColor(color.yellow); upArrow.SetLineWeight(5);
plot downArrow =DYMI >=OverBought AND if sellDivergence then high else double.nan AND if !Today or !ArrowsOn then Double.NaN else SellIt + space AND if TracerLinesOn && trigger == 1 then PriceAtSell else Double.NaN and if low[1] > high[-1] and body > body[1] and body > body[2] and body > body[3] then 1 else 0;
downArrow.SetPaintingStrategy(paintingStrategy.BOOLEAN_ARROW_DOWN);
downArrow.SetDefaultColor(color.yellow);
downArrow.SetLineWeight(5);
alert(downArrow,"Scalper Buy Signal", Alert.BAR, Sound.bell);
alert(upArrow, "Scalper Buy Signal", Alert.BAR, Sound.bell);
[/HIDE]

Yellow Arrows 2014 №2

[HIDE=10]
Код:
# TS_Yellowarrows2.ts
# http://yellowarrows.ru
# admin@thinkswimindicator.com
# Last Update 17 Feb 2015

input ShowTodayOnly = no;
input ShowExtraDays = 0;
input ArrowsOn = yes;
input TracerLinesOn = no;

input stdevLength = 5;

input avgOfStdevLength = 10;

input DYMILength = 14;

input DYMILengthLowerLimit = 3;

input DYMILengthUpperLimit = 30;

input length = 8;

input price=close;

input filterOutSignalsBelow = 7;

assert(DYMILengthLowerLimit > 0, "'dymi length lower limit' must be positive: " + DYMILengthLowerLimit);

assert(DYMILength between DYMILengthLowerLimit and DYMILengthUpperLimit, "'dymi length' must be between lower and upper limit: " + DYMILength);
def Today =
if !ShowTodayOnly then 1 else
if GetDay() + ShowExtraDays >= GetLastDay() && GetYear() == GetLastYear() then 1

else 0;
input ArrowSpace = .233;
def space = Average(high - low) * ArrowSpace;

def std = stdev(price, stdevLength);

def ratio = std / Average(std, avgOfStdevLength);

def dynamicLength = Floor(DYMILength / ratio);

def limitedLength = if dynamicLength between DYMILengthLowerLimit and DYMILengthUpperLimit then dynamicLength else 0;

def sf = 2 / (limitedLength + 1);

def bn = Max(barNumber(), 0);

# 10^-5 precision for ema multiplier

def expIndex = if limitedLength == 0 then 1 else max(1, bn - ceil(-5 / lg(1 - sf)));

def fromIndex = if isNan(expIndex) then 1 else expIndex;

def chg = price - price[1];

def absChg = AbsValue(chg);

def netChgAvg = fold indexN = fromIndex to bn + 1 with accuN do sf * (if isnan(getValue(chg, bn - indexN)) then 0 else getValue(chg, bn - indexN)) + (1 - sf) * accuN;

def totChgAvg = fold indexT = fromIndex to bn + 1 with accuT do sf * (if isnan(getValue(absChg, bn - indexT)) then 0 else getValue(absChg, bn - indexT)) + (1 - sf) * accuT;

def RSI = if totChgAvg != 0 and limitedLength != 0 then 50 * (netChgAvg / totChgAvg + 1) else RSI[1];

def DYMI = RSI;

def OverBought = 95;

def OverSold = 5;

def VarP = round(length / 5);

def VarA = Highest(high, VarP) - Lowest(low, VarP);

def VarR1 = if VarA == 0 and VarP == 1 then AbsValue(close - close[VarP]) else VarA;

def VarB = Highest(high, VarP)[VarP + 1] - Lowest(low, VarP)[VarP];

def VarR2 = If VarB == 0 and VarP == 1 then AbsValue(close[VarP] - close[VarP * 2]) else VarB;

def VarC = Highest(high, VarP)[VarP * 2] - Lowest(low, VarP)[VarP * 2];

def VarR3 = If VarC == 0 and VarP == 1 then AbsValue(close[VarP * 2] - close[VarP * 3]) else VarC;

def VarD = Highest(high, VarP)[VarP * 3] - Lowest(low, VarP)[VarP * 3];

def VarR4 =

If VarD == 0 and VarP == 1 then AbsValue(close[VarP * 3] - close[VarP * 4]) else VarD;

def VarE = Highest(high, VarP)[VarP * 4] - Lowest(low, VarP)[VarP * 4];

def VarR5 = If VarE == 0 and VarP == 1 then AbsValue(close[VarP * 4] - close[VarP * 5]) else VarE;

def LRange = ((VarR1 + VarR2 + VarR3 + VarR4 + VarR5) / 5) * 0.2;

def Var0 = if AbsValue(close - close[1]) > (high - low) then AbsValue(close - close[1]) else (high - low);

def LRange2 = if high == low then Average(AbsValue(close - close[1]), 1) * 0.2 else Average(Var0, 1) * 0.2;

def range = high + low;

def delta = high - low;

def median = range / 2;

def floatingAxis = Average(median, length);

def dynamicVolatilityUnit = if length <= 7 then LRange2 else LRange;

def relativeHigh = (high - floatingAxis) / dynamicVolatilityUnit;

def relativeLow = (low - floatingAxis) / dynamicVolatilityUnit;

def relativeOpen = (open - floatingAxis) / dynamicVolatilityUnit;

def relativeClose = (close - floatingAxis) / dynamicVolatilityUnit;

def h = relativeHigh;

def l = relativeLow;

def sellDivergence = if high > high[1] and relativeHigh < relativeHigh[1] and relativeHigh[1] > filterOutSignalsBelow then 1 else 0;

def buyDivergence = if low < low[1] and relativeLow > relativeLow[1] and relativeLow[1] < -filterOutSignalsBelow then 1 else 0;
def BuyIt = PPS().buysignal;
def SellIt = PPS().sellsignal;


def hiddenDivergenceUp = if low > low[1] and relativeLow < relativeLow[1] then 1 else 0;

def hiddenDivergenceDown = if high < high[1] and relativeHigh > relativeHigh[1] then 1 else 0;
rec PriceAtBuy = if barNumber() == 1 then close else if !IsNaN(BuyIt[0]) then

open[0] else PriceAtBuy[1];
rec PriceAtSell = if barNumber() == 1 then close else if !IsNaN(SellIt[0]) then

open[0] else PriceAtSell[1];
rec trigger = if PriceAtBuy <> PriceAtBuy[1] then -1 else if PriceAtSell <>

PriceAtSell[1] then 1 else trigger[1];


plot upArrow =DYMI<=OverSold AND

if buyDivergence then low else double.nan AND if !Today or !ArrowsOn
then Double.NaN else BuyIt - space AND  if TracerLinesOn && trigger == -1 then PriceAtBuy else Double.NaN;

upArrow.SetPaintingStrategy(paintingStrategy.BOOLEAN_ARROW_UP);

upArrow.SetDefaultColor(color.green);

upArrow.SetLineWeight(3);

plot downArrow =DYMI >=OverBought AND if sellDivergence then high else double.nan AND  if !Today or !ArrowsOn then Double.NaN else SellIt + space AND  if TracerLinesOn && trigger == 1 then PriceAtSell else Double.NaN;

downArrow.SetPaintingStrategy(paintingStrategy.BOOLEAN_ARROW_DOWN);

downArrow.SetDefaultColor(color.red);

downArrow.SetLineWeight(3);

alert(downArrow, "Scalper Buy Signal", Alert.BAR, Sound.ring);

alert(upArrow, "Scalper Buy Signal", Alert.BAR, Sound.ring);
[/HIDE]

Yellow Arrows 2015:

[HIDE=10]
Код:
# TS_YA V2015
# http://www.yellowarrows.ru
# admin@thinkswimindicator.com
# Last Update 18 Apr 2015
input ShowTodayOnly = no;
input ShowExtraDays = 0;
input ArrowsOn = yes;
input TracerLinesOn = no;
input stdevLength = 5;
input avgOfStdevLength = 10;
input DYMILength = 7;
input DYMILengthLowerLimit = 3;
input DYMILengthUpperLimit =30;
input length = 8;
input price=close;
input filterOutSignalsBelow = 7;
assert(DYMILengthLowerLimit > 0, "'dymi length lower limit' must be positive: " + DYMILengthLowerLimit);
assert(DYMILength between DYMILengthLowerLimit and DYMILengthUpperLimit, "'dymi length' must be between lower and upper limit: " + DYMILength);
def Today = if !ShowTodayOnly then 1 else if GetDay() + ShowExtraDays >= GetLastDay() && GetYear() == GetLastYear() then 1 else 0;
input ArrowSpace = .233;
def space = Average(high - low) * ArrowSpace;
def std = stdev(price, stdevLength);
def ratio = std / Average(std, avgOfStdevLength); 
def dynamicLength = Floor(DYMILength / ratio);
def limitedLength = if dynamicLength between DYMILengthLowerLimit and DYMILengthUpperLimit then dynamicLength else 0;
def sf = 5/ (limitedLength + 1);
def bn = Max(barNumber(), 0);
def body = AbsValue(open-close);
def larger = if low[1] > high[-1] and body > body[1] and body > body[2] and body > body[3] then 1 else 0;
# 10^-5 precision for ema multiplier
def expIndex = if limitedLength == 0 then 1 else max(1, bn - ceil(-5 / lg(1 - sf)));
def fromIndex = if isNan(expIndex) then 1 else expIndex; def chg = price - price[1];
def absChg = AbsValue(chg);
def netChgAvg = fold indexN = fromIndex to bn + 1 with accuN do sf * (if isnan(getValue(chg, bn - indexN)) then 0 else getValue(chg, bn - indexN)) + (1 - sf) * accuN;
def totChgAvg = fold indexT = fromIndex to bn + 1 with accuT do sf * (if isnan(getValue(absChg, bn - indexT)) then 0 else getValue(absChg, bn - indexT)) + (1 - sf) * accuT;
def RSI = if totChgAvg != 0 and limitedLength != 0 then 50 * (netChgAvg / totChgAvg + 1) else RSI[1];
def DYMI = RSI;
def OverBought = 95;
def OverSold = 5;
def VarP = round(length / 5);
def VarA = Highest(high, VarP) - Lowest(low, VarP);
def VarR1 = if VarA == 0 and VarP == 1 then AbsValue(close - close[VarP]) else VarA;
def VarB = Highest(high, VarP)[VarP + 1] - Lowest(low, VarP)[VarP];
def VarR2 = If VarB == 0 and VarP == 1 then AbsValue(close[VarP] - close[VarP * 2]) else VarB;
def VarC = Highest(high, VarP)[VarP * 2] - Lowest(low, VarP)[VarP * 2];
def VarR3 = If VarC == 0 and VarP == 1 then AbsValue(close[VarP * 2] - close[VarP * 3]) else VarC;
def VarD = Highest(high, VarP)[VarP * 3] - Lowest(low, VarP)[VarP * 3];
def VarR4 = If VarD == 0 and VarP == 1 then AbsValue(close[VarP * 3] - close[VarP * 4]) else VarD;
def VarE = Highest(high, VarP)[VarP * 4] - Lowest(low, VarP)[VarP * 4];
def VarR5 = If VarE == 0 and VarP == 1 then AbsValue(close[VarP * 4] - close[VarP * 5]) else VarE;
def VarF = Highest(high, VarP)[VarP * 5] - Lowest(Low, VarP)[VarP * 5];
def VarR6 = If VarF == 0 and VarP == 1 then AbsValue(close[VarP * 5] - close[VarP * 6])
else VarF;
def VarG = Highest(high, VarP)[VarP * 6] - Lowest(Low, VarP)[VarP * 6];
def VarR7 = If VarG == 0 and VarP == 1 then AbsValue(close[VarP * 6] - close[VarP * 7])
else VarG;
def VarH = Highest(high, VarP)[VarP * 7] - Lowest(Low, VarP)[VarP * 7];
def VarR8 = If VarH == 0 and VarP == 1 then AbsValue(close[VarP * 7] - close[VarP * 8])
else VarH;
def VarI = Highest(high, VarP)[VarP * 8] - Lowest(Low, VarP)[VarP * 8];
def VarR9 = If VarI == 0 and VarP == 1 then AbsValue(close[VarP * 8] - close[VarP * 9])
else VarI;
def VarJ = Highest(high, VarP)[VarP * 9] - Lowest(Low, VarP)[VarP * 9];
def VarR10 = If VarJ == 0 and VarP == 1 then AbsValue(close[VarP * 9] - close[VarP * 10])
else VarJ;
def VarK = Highest(high, VarP)[VarP * 10] - Lowest(Low, VarP)[VarP * 10];
def VarR11 = If VarK == 0 and VarP == 1 then AbsValue(close[VarP * 10] - close[VarP * 11])
else VarK;
def VarL = Highest(high, VarP)[VarP * 11] - Lowest(Low,VarP)[VarP * 11];
def VarR12 = If VarL == 0 and VarP == 1 then AbsValue(close[VarP * 11] - close[VarP * 12])
else VarL;
def LRange = ((VarR1 + VarR2 + VarR3 + VarR4 + VarR5 + VarR6 + VarR7 + VarR8 + VarR9 +VarR10 + VarR11 + VarR12) / 12) * 0.2;
def Var0 = if AbsValue(close - close[1]) > (high - low) then AbsValue(close - close[1]) else (high - low);
def LRange2 = if high == low then Average(AbsValue(close - close[1]), 1) * 0.2 else Average(Var0, 1) * 0.2;
def range = high + low; 
def delta = high - low;
def median = range / 2;
def floatingAxis = Average(median, length);
def dynamicVolatilityUnit = if length <= 9 then LRange2 else LRange;
def relativeHigh = (high - floatingAxis) / dynamicVolatilityUnit;
def relativeLow = (low - floatingAxis) / dynamicVolatilityUnit;
def relativeOpen = (open - floatingAxis) / dynamicVolatilityUnit;
def relativeClose = (close - floatingAxis) / dynamicVolatilityUnit;
def h = relativeHigh;
def l = relativeLow;
def sellDivergence = if high > high[1] and relativeHigh < relativeHigh[1] and relativeHigh[1] > filterOutSignalsBelow then 1 else 0;
def buyDivergence = if low < low[1] and relativeLow > relativeLow[1] and relativeLow[1] < -filterOutSignalsBelow then 1 else 0;
def BuyIt = PPS().buysignal;
def SellIt = PPS().sellsignal;
def hiddenDivergenceUp = if low > low[1] and relativeLow < relativeLow[1] then 1 else 0;
def hiddenDivergenceDown = if high < high[1] and relativeHigh > relativeHigh[1] then 1 else 0;
rec PriceAtBuy = if barNumber() == 1 then close else if !IsNaN(BuyIt[0]) then open[0] else PriceAtBuy[1];
rec PriceAtSell = if barNumber() == 1 then close else if !IsNaN(SellIt[0]) then open[0] else PriceAtSell[1];
rec trigger = if PriceAtBuy <> PriceAtBuy[1] then -1 else if PriceAtSell <> PriceAtSell[1] then 1 else trigger[1];
plot upArrow =DYMI<=OverSold AND if buyDivergence then low else double.nan AND if !Today or !ArrowsOn then Double.NaN else BuyIt - space AND if TracerLinesOn && trigger == -1 then PriceAtBuy else Double.NaN and if high[1] < low[-1] and body > body[1] and body > body[2] and body > body[3] then 1 else 0;
upArrow.SetPaintingStrategy(
paintingStrategy.BOOLEAN_ARROW_UP);
upArrow.SetDefaultColor(color.yellow); upArrow.SetLineWeight(5);
plot downArrow =DYMI >=OverBought AND if sellDivergence then high else double.nan AND if !Today or !ArrowsOn then Double.NaN else SellIt + space AND if TracerLinesOn && trigger == 1 then PriceAtSell else Double.NaN and if low[1] > high[-1] and body > body[1] and body > body[2] and body > body[3] then 1 else 0;
downArrow.SetPaintingStrategy(paintingStrategy.BOOLEAN_ARROW_DOWN);
downArrow.SetDefaultColor(color.yellow);
downArrow.SetLineWeight(5);
alert(downArrow,"Scalper Buy Signal", Alert.BAR, Sound.bell);
alert(upArrow, "Scalper Buy Signal", Alert.BAR, Sound.bell);
[/HIDE]
 
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