forked from animatedread/Warrior_EA
74c7395127
- Define MAX_WEIGHT constant (1.0e6) for weight limits in clusters - Remove redundant barrier from FeedForward kernel (prevents sync issues) - Port FeedForwardProof and CalcInputGradientProof kernels for max-pooling (no weights, sliding max) - Port FeedForwardConv kernel for convolution layers (shared weights, multiple output channels) - Remove unused code and refactor signal condition logic (CSignalPAI)
49 lines
2.6 KiB
MQL5
49 lines
2.6 KiB
MQL5
//+------------------------------------------------------------------+
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//| Warrior_EA |
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//| AnimateDread |
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//| |
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//+------------------------------------------------------------------+
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#include "..\Expert\ExpertSignalAIBase.mqh"
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// wizard description start
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//+------------------------------------------------------------------+
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//| Description of the class |
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//| Title=Signals of indicator 'Perceptron AI' |
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//| Type=SignalAdvanced |
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//| Name=Perceptron AI |
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//| ShortName=PAI |
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//| Class=CSignalPAI |
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//| Page=signal_pai |
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//+------------------------------------------------------------------+
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// wizard description end
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//+------------------------------------------------------------------+
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//| Class CSignalPAI. |
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//| Purpose: Class of generator of trade signals based on |
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//| a plain multi-layer feed-forward perceptron network. |
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//| Is derived from the CExpertSignalAIBase class. |
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//| Only the network topology differs from the other AI signals: an |
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//| input layer feeds straight into the common tapering hidden-layer |
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//| stack, with no Conv/Pool/LSTM stage (AddCustomLayers is a no-op, |
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//| inherited as-is from the base class). |
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//+------------------------------------------------------------------+
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class CSignalPAI : public CExpertSignalAIBase
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{
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public:
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CSignalPAI(void);
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//--- method of creating the indicator and timeseries
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virtual bool InitIndicators(CIndicators *indicators) override;
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};
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//+------------------------------------------------------------------+
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//| Constructor |
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//+------------------------------------------------------------------+
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CSignalPAI::CSignalPAI(void)
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{
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SetIdentity("Perceptron", "PAI");
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}
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//+------------------------------------------------------------------+
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//| Create indicators and bootstrap/load the network. |
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//+------------------------------------------------------------------+
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bool CSignalPAI::InitIndicators(CIndicators *indicators)
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{
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return InitNeuralNetwork(indicators);
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}
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//+------------------------------------------------------------------+
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