forked from animatedread/Warrior_EA
DRY - topology construction
---------------------------
CSignalCONV and CSignalHYBRID each built the Conv+Pool front-end from scratch;
CSignalLSTM and CSignalHYBRID each built the LSTM stage from scratch. The
duplicates had already drifted: HYBRID guarded the LSTM step with
MathMax(1, historyBars/2), CSignalLSTM divided unguarded, so a historyBars of 1
gave two different steps for what is documented as the same layer.
Extracted AddConvPoolStage() and AddLstmStage() onto CExpertSignalAIBase. The
three overrides are now compositions:
CONV = AddConvPoolStage
LSTM = AddLstmStage
HYBRID = AddConvPoolStage && AddLstmStage
HYBRID's "matches the standalone CONV front-end exactly, then adds LSTM" is
enforced by construction instead of by comment. Took the guarded step for both.
Also fixed a descriptor leak the duplicates shared: on a failed topology.Add()
the CLayerDescription was neither owned by the array nor deleted.
Dead code
---------
- CNet::SaveCheckpoint / CNet::LoadCheckpoint (123 lines). Superseded by the
in-memory CaptureWeights/RestoreWeights pair; Network.mqh:1312 already said so
("This replaces the file-based SaveCheckpoint/LoadCheckpoint"). Zero call
sites - every remaining mention was a comment. The five comments that
referenced them have been reworded rather than left dangling.
- CExpertSignalCustom::CheckForDuplicateTrade / FindLastTradeIndex /
UpdateTradeStatusAndExit: declared, never defined anywhere, never called.
They only made it look as though duplicate-trade detection existed.
Compiles 0 errors, 0 warnings.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
61 lines
3.3 KiB
MQL5
61 lines
3.3 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 'LSTM AI' |
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//| Type=SignalAdvanced |
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//| Name=LSTM AI |
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//| ShortName=LSTM |
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//| Class=CSignalLSTM |
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//| Page=signal_lstm |
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//+------------------------------------------------------------------+
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// wizard description end
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//+------------------------------------------------------------------+
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//| Class CSignalLSTM. |
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//| Purpose: Class of generator of trade signals based on |
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//| the 'LSTM AI' indicator. |
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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 a single LSTM layer before the common tapering |
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//| hidden-layer stack (see AddCustomLayers). |
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//+------------------------------------------------------------------+
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class CSignalLSTM : public CExpertSignalAIBase
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{
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protected:
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virtual bool AddCustomLayers(CArrayObj *topology) override;
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//--- keep the tapering Dense stack TANH-bounded, matching the LSTM layer's own bounded
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//--- output, instead of the base class's default PRELU (see the base declaration's comment)
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virtual ENUM_ACTIVATION HiddenLayerActivation(void) override { return TANH; }
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public:
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CSignalLSTM(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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CSignalLSTM::CSignalLSTM(void)
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{
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SetIdentity("LSTM", "LSTM");
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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 CSignalLSTM::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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//| LSTM layer inserted between the input layer and the common |
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//| tapering hidden-layer stack. |
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//+------------------------------------------------------------------+
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bool CSignalLSTM::AddCustomLayers(CArrayObj *topology)
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{
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return AddLstmStage(topology);
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}
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//+------------------------------------------------------------------+
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