Displaying Test Pastie For Amibroker (AFL)

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#1 Selling Amibroker Plugin featuring:

Advanced Adaptive Indicators

Advanced Pattern Exploration

Neural Networks

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Indicator

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WT_TEPIX_RateOfChange = ROC(TEPIX, 1);
input0 = Ref(WT_TEPIX_RateOfChange, 0);
AddNeuralNetworkInput(input0, 0);
input1 = Ref(SAM, 0);
AddNeuralNetworkInput(input1, 0);
input2 = Ref(SAM, -1);
AddNeuralNetworkInput(input2, 0);
BBUP=BBandTop(Close,14,2);
WT_BBUP_RateOfChange = ROC(BBUP, 1);
input3 = Ref(WT_BBUP_RateOfChange, 0);
AddNeuralNetworkInput(input3, 0);
input4 = Ref(WT_BBUP_RateOfChange, -1);
AddNeuralNetworkInput(input4, 0);
BBDN=BBandBot(Close,14,2);
WT_BBDN_RateOfChange = ROC(BBDN, 1);
input5 = Ref(WT_BBDN_RateOfChange, 0);
AddNeuralNetworkInput(input5, 0);
input6 = Ref(WT_BBDN_RateOfChange, -1);
AddNeuralNetworkInput(input6, 0);
RSI14 = RSI(14);
input7 = Ref(RSI14, 0);
AddNeuralNetworkInput(input7, 0);
input8 = Ref(RSI14, -1);
AddNeuralNetworkInput(input8, 0);
MACD1226 = MACD(12, 26);
WT_MACD1226_RateOfChange = ROC(MACD1226, 1);
input9 = Ref(WT_MACD1226_RateOfChange, 0);
AddNeuralNetworkInput(input9, 0);
input10 = Ref(WT_MACD1226_RateOfChange, -1);
AddNeuralNetworkInput(input10, 0);
ADX14 = ADX(14);
WT_ADX14_RateOfChange = ROC(ADX14, 1);
input11 = Ref(WT_ADX14_RateOfChange, 0);
AddNeuralNetworkInput(input11, 0);
input12 = Ref(WT_ADX14_RateOfChange, -1);
AddNeuralNetworkInput(input12, 0);
CCI14 = CCI(14);
input13 = Ref(CCI14, 0);
AddNeuralNetworkInput(input13, 0);
input14 = Ref(CCI14, -1);
AddNeuralNetworkInput(input14, 0);
StochasticD = StochD(14, 3, 3);
input15 = Ref(StochasticD, 0);
AddNeuralNetworkInput(input15, 0);
input16 = Ref(StochasticD, -1);
AddNeuralNetworkInput(input16, 0);
EMA10= EMA(C, 10);
WT_EMA10_RateOfChange = ROC(EMA10, 1);
input17 = Ref(WT_EMA10_RateOfChange, 0);
AddNeuralNetworkInput(input17, 0);
input18 = Ref(WT_EMA10_RateOfChange, -1);
AddNeuralNetworkInput(input18, 0);
SMA20=MA(C, 20);
WT_SMA20_RateOfChange = ROC(SMA20, 1);
input19 = Ref(WT_SMA20_RateOfChange, 0);
AddNeuralNetworkInput(input19, 0);
input20 = Ref(WT_SMA20_RateOfChange, -1);
AddNeuralNetworkInput(input20, 0);

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