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WiseTrader Toolbox
#1 Selling Amibroker Plugin featuring:
Advanced Adaptive Indicators
Advanced Pattern Exploration
Neural Networks
And Much More ....
Test1 for Amibroker (AFL)
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 | _SECTION_BEGIN("Saman ANN-BP Amibroker Predict");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);MYBBUP=BBup;WT_MYBBUP_RateOfChange = ROC(MYBBUP, 1);input21 = Ref(WT_MYBBUP_RateOfChange, 0);AddNeuralNetworkInput(input21, 0);input22 = Ref(WT_MYBBUP_RateOfChange, -1);AddNeuralNetworkInput(input22, 0);MYBBMID=BB_Mid;WT_MYBBMID_RateOfChange = ROC(MYBBMID, 1);input23 = Ref(WT_MYBBMID_RateOfChange, 0);AddNeuralNetworkInput(input23, 0);input24 = Ref(WT_MYBBMID_RateOfChange, -1);AddNeuralNetworkInput(input24, 0);MYBBDN=BBdn;WT_MYBBDN_RateOfChange = ROC(MYBBDN, 1);input25 = Ref(WT_MYBBDN_RateOfChange, 0);AddNeuralNetworkInput(input25, 0);input26 = Ref(WT_MYBBDN_RateOfChange, -1);AddNeuralNetworkInput(input26, 0);WT_TenkanSen_RateOfChange = ROC(TenkanSen, 1);input27 = Ref(WT_TenkanSen_RateOfChange, 0);AddNeuralNetworkInput(input27, 0);input28 = Ref(WT_TenkanSen_RateOfChange, -1);AddNeuralNetworkInput(input28, 0);WT_KijunSen_RateOfChange = ROC(KijunSen, 1);input29 = Ref(WT_KijunSen_RateOfChange, 0);AddNeuralNetworkInput(input29, 0);input30 = Ref(WT_KijunSen_RateOfChange, -1);AddNeuralNetworkInput(input30, 0);WT_Amitenkansen_RateOfChange = ROC(Amitenkansen, 1);input31 = Ref(WT_Amitenkansen_RateOfChange, 0);AddNeuralNetworkInput(input31, 0);input32 = Ref(WT_Amitenkansen_RateOfChange, -1);AddNeuralNetworkInput(input32, 0);WT_Amikijunsen_RateOfChange = ROC(Amikijunsen, 1);input33 = Ref(WT_Amikijunsen_RateOfChange, 0);AddNeuralNetworkInput(input33, 0);input34 = Ref(WT_Amikijunsen_RateOfChange, -1);AddNeuralNetworkInput(input34, 0);ROC1=ROC(Close,1);WT_ROC1_RateOfChange = ROC(ROC1, 1);input35 = Ref(WT_ROC1_RateOfChange, 0);AddNeuralNetworkInput(input35, 0);RunMultiInputNeuralNetwork("FirstIndex0Close0others1.net");Plot(output0, _DEFAULT_NAME(), ParamColor("output0 Color", colorRed), styleLine);EnableProgress();RestoreDefaults();ClearNeuralNetworkInputs();_SECTION_END(); |