2026-08-13 23:48:47 +03:00 | | | //+------------------------------------------------------------------+
|
| | | //| Study.mq5 |
|
| | | //| Copyright DNG® |
|
| | | //| https://www.mql5.com/ru/users/dng |
|
2026-06-05 22:00:59 +03:00 | | | //+------------------------------------------------------------------+
|
| | | #property copyright "Copyright DNG®"
|
| | | #property link "https://www.mql5.com/ru/users/dng"
|
| | | #property version "1.00"
|
| | | //+------------------------------------------------------------------+
|
2026-08-13 23:48:47 +03:00 | | | //| |
|
2026-06-05 22:00:59 +03:00 | | | //+------------------------------------------------------------------+
|
| | | #define Study
|
| | | #define StudyOnline
|
| | | //+------------------------------------------------------------------+
|
| | | //| Input parameters |
|
| | | //+------------------------------------------------------------------+
|
| | | input datetime Start = D'2024.01.01';
|
| | | input datetime End = D'2025.07.01';
|
| | | input int Epochs = 100;
|
| | | input double MinBalance = 50;
|
| | | input double MaxBalance = 150;
|
| | | #include "Trajectory.mqh"
|
| | | //+------------------------------------------------------------------+
|
2026-08-13 23:48:47 +03:00 | | | //| |
|
2026-06-05 22:00:59 +03:00 | | | //+------------------------------------------------------------------+
|
| | | CNet cActor;
|
| | | CNet cCritic;
|
| | | //---
|
| | | float dError;
|
| | | datetime dtStudied;
|
| | | //---
|
| | | CBufferFloat bState;
|
| | | CBufferFloat bTime;
|
| | | CBufferFloat bGradient;
|
| | | CBufferFloat *Result;
|
| | | CBufferFloat *Action;
|
| | | vector<float> check;
|
| | | //+------------------------------------------------------------------+
|
| | | //| Expert initialization function |
|
| | | //+------------------------------------------------------------------+
|
| | | int OnInit()
|
| | | {
|
| | | //---
|
| | | ResetLastError();
|
| | | //--- load models
|
| | | float temp;
|
| | | CArrayObj *actor = new CArrayObj();
|
| | | CArrayObj *critic = new CArrayObj();
|
| | | if(!CreateDescriptions(actor, critic))
|
| | | {
|
| | | DeleteObj(actor)
|
| | | DeleteObj(critic)
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | return INIT_FAILED;
|
| | | }
|
| | | if(!cActor.Load(FileName + "Act.nnw", temp, temp, temp, dtStudied, true))
|
| | | {
|
| | | Print("Create new Actor");
|
| | | if(!cActor.Create(actor))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | DeleteObj(actor)
|
| | | DeleteObj(critic)
|
| | | return INIT_FAILED;
|
| | | }
|
| | | }
|
| | | if(!cCritic.Load(FileName + "Crt.nnw", temp, temp, temp, dtStudied, true))
|
| | | {
|
| | | Print("Create new Critic");
|
| | | if(!cCritic.Create(critic))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | DeleteObj(actor)
|
| | | DeleteObj(critic)
|
| | | return INIT_FAILED;
|
| | | }
|
| | | }
|
| | | DeleteObj(actor)
|
| | | DeleteObj(critic)
|
| | | //---
|
| | | cActor.TrainMode(true);
|
| | | cCritic.TrainMode(true);
|
| | | COpenCL *opencl = cActor.GetOpenCL();
|
| | | cCritic.SetOpenCL(opencl);
|
| | | //---
|
| | | if(!Symb.Name(_Symbol) || !Symb.Refresh())
|
| | | return INIT_FAILED;
|
| | | //---
|
| | | if(!RSI.Create(Symb.Name(), TimeFrame, RSIPeriod, RSIPrice))
|
| | | return INIT_FAILED;
|
| | | //---
|
| | | if(!CCI.Create(Symb.Name(), TimeFrame, CCIPeriod, CCIPrice))
|
| | | return INIT_FAILED;
|
| | | //---
|
| | | if(!ATR.Create(Symb.Name(), TimeFrame, ATRPeriod))
|
| | | return INIT_FAILED;
|
| | | //---
|
| | | if(!MACD.Create(Symb.Name(), TimeFrame, FastPeriod, SlowPeriod, SignalPeriod, MACDPrice))
|
| | | return INIT_FAILED;
|
| | | //---
|
| | | cActor.GetLayerOutput(0, Result);
|
| | | if(Result.Total() != (HistoryBars * BarDescr + AccountDescr))
|
| | | {
|
| | | PrintFormat("Input size of Actor doesn't match state description (%d <> %d)", Result.Total(), (HistoryBars * BarDescr + AccountDescr));
|
| | | return INIT_FAILED;
|
| | | }
|
| | | //---
|
| | | if(!EventChartCustom(ChartID(), 1, 0, 0, "Init"))
|
| | | {
|
| | | PrintFormat("Error of create study event: %d", GetLastError());
|
| | | return INIT_FAILED;
|
| | | }
|
| | | //---
|
| | | return(INIT_SUCCEEDED);
|
| | | }
|
| | | //+------------------------------------------------------------------+
|
| | | //| Expert deinitialization function |
|
| | | //+------------------------------------------------------------------+
|
| | | void OnDeinit(const int reason)
|
| | | {
|
| | | //---
|
| | | if(!(reason == REASON_INITFAILED || reason == REASON_RECOMPILE))
|
| | | {
|
| | | if(!cActor.Save(FileName + "Act.nnw", 0, 0, 0, TimeCurrent(), true))
|
| | | PrintFormat("Error of save model: %s", "Actor");
|
| | | if(!cCritic.Save(FileName + "Crt.nnw", 0, 0, 0, TimeCurrent(), true))
|
| | | PrintFormat("Error of save model: %s", "Critic");
|
| | | }
|
| | | delete Result;
|
| | | delete Action;
|
| | | }
|
| | | //+------------------------------------------------------------------+
|
| | | //| ChartEvent function |
|
| | | //+------------------------------------------------------------------+
|
| | | void OnChartEvent(const int id,
|
| | | const long &lparam,
|
| | | const double &dparam,
|
| | | const string &sparam)
|
| | | {
|
| | | //---
|
| | | switch(id)
|
| | | {
|
| | | case 1001:
|
| | | Train();
|
| | | break;
|
| | | case 1007:
|
| | | Print("Event 1007");
|
| | | if(!EventChartCustom(ChartID(), 1, 0, 0, "ChartEvent"))
|
| | | {
|
| | | PrintFormat("Error of create study event: %d", GetLastError());
|
| | | ExpertRemove();
|
| | | }
|
| | | break;
|
| | | }
|
| | | }
|
| | | //+------------------------------------------------------------------+
|
| | | //| Train function |
|
| | | //+------------------------------------------------------------------+
|
| | | void Train(void)
|
| | | {
|
| | | int start = iBarShift(Symb.Name(), TimeFrame, Start);
|
| | | int end = iBarShift(Symb.Name(), TimeFrame, End);
|
| | | int bars = CopyRates(Symb.Name(), TimeFrame, 0, start, Rates);
|
| | | //---
|
| | | if(!RSI.BufferResize(bars) || !CCI.BufferResize(bars) ||
|
| | | !ATR.BufferResize(bars) || !MACD.BufferResize(bars))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | ExpertRemove();
|
| | | return;
|
| | | }
|
| | | //---
|
| | | int count = -1;
|
| | | bool calculated = false;
|
| | | do
|
| | | {
|
| | | calculated = (RSI.BarsCalculated() >= bars &&
|
| | | CCI.BarsCalculated() >= bars &&
|
| | | ATR.BarsCalculated() >= bars &&
|
| | | MACD.BarsCalculated() >= bars
|
| | | );
|
| | | Sleep(100);
|
| | | count++;
|
| | | }
|
| | | while(!calculated && count < 100);
|
| | | if(!calculated)
|
| | | {
|
| | | PrintFormat("%s -> %d The training data has not been loaded", __FUNCTION__, __LINE__);
|
| | | ExpertRemove();
|
| | | return;
|
| | | }
|
| | | RSI.Refresh();
|
| | | CCI.Refresh();
|
| | | ATR.Refresh();
|
| | | MACD.Refresh();
|
| | | //---
|
| | | if(!ArraySetAsSeries(Rates, true))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | ExpertRemove();
|
| | | return;
|
| | | }
|
| | | bars -= end + HistoryBars + NForecast;
|
| | | if(bars < 0)
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | ExpertRemove();
|
| | | return;
|
| | | }
|
| | | //---
|
| | | vector<float> result, target, neg_target;
|
| | | bool Stop = false;
|
| | | //---
|
| | | uint ticks = GetTickCount();
|
| | | //---
|
| | | for(int epoch = 0; (epoch < Epochs && !IsStopped() && !Stop); epoch ++)
|
| | | {
|
| | | if(!cActor.Clear() ||
|
| | | !cCritic.Clear())
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | ExpertRemove();
|
| | | return;
|
| | | }
|
| | | for(int posit = start - HistoryBars - NForecast - 1; posit >= end; posit--)
|
| | | {
|
| | | if(!CreateBuffers(posit, GetPointer(bState), GetPointer(bTime), Result))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | ExpertRemove();
|
| | | return;
|
| | | }
|
| | | const vector<float> account = SampleAccount(GetPointer(bState), datetime(bTime[0]), MaxBalance, MinBalance);
|
| | | const vector<float> target_action = OraculAction(account, Result);
|
| | | if(!bState.AddArray(account))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | ExpertRemove();
|
| | | return;
|
| | | }
|
| | | //--- Feed Forward
|
| | | if(!cActor.feedForward((CBufferFloat*)GetPointer(bState), 1, false, (CBufferFloat*)GetPointer(bTime)))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | Stop = true;
|
| | | break;
|
| | | }
|
| | | #ifdef _DEBUG
|
| | | vector<float> res;
|
| | | cActor.getResults(res);
|
| | | #endif
|
| | | if(!cCritic.feedForward(GetPointer(cActor), -1, GetPointer(cActor), LatentLayer))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | Stop = true;
|
| | | break;
|
| | | }
|
| | | #ifdef _DEBUG
|
| | | cCritic.getResults(res);
|
| | | #endif
|
| | | //--- Study
|
| | | cActor.getResults(Action);
|
| | | double balance = account[0] * EtalonBalance;
|
| | | double reward = CheckAction(Action, balance, posit - NForecast + 1) * balance / EtalonBalance;
|
| | | //---
|
| | | Result.Clear();
|
| | | if(!Result.Add(float(reward)))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | Stop = true;
|
| | | break;
|
| | | }
|
| | | if(!cCritic.backProp(Result, GetPointer(cActor), LatentLayer))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | Stop = true;
|
| | | break;
|
| | | }
|
| | | //--- Oracul
|
| | | if(!Action.AssignArray(target_action))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | Stop = true;
|
| | | break;
|
| | | }
|
| | | reward = CheckAction(Action, balance, posit - NForecast + 1) * balance / EtalonBalance;
|
| | | if(reward > 0)
|
| | | if(!cActor.backProp(Action, (CBufferFloat*)NULL))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | Stop = true;
|
| | | break;
|
| | | }
|
| | | if(!cActor.feedForward((CBufferFloat*)GetPointer(bState), 1, false, (CBufferFloat*)GetPointer(bTime)) ||
|
| | | !cCritic.feedForward(Action, 1, false, GetPointer(cActor), LatentLayer))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | Stop = true;
|
| | | break;
|
| | | }
|
| | | if(!Result.Update(0, float(reward)))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | Stop = true;
|
| | | break;
|
| | | }
|
| | | if(!cCritic.backProp(Result, GetPointer(cActor), LatentLayer) ||
|
| | | !cActor.backPropGradient((CBufferFloat*)GetPointer(bTime), (CBufferFloat*)NULL, -1, true))
|
| | | {
|
| | | PrintFormat("%s -> %d", __FUNCTION__, __LINE__);
|
| | | Stop = true;
|
| | | break;
|
| | | }
|
| | | //---
|
| | | if(GetTickCount() - ticks > 500)
|
| | | {
|
| | | double percent = (epoch + 1.0 - double(posit - end) / (start - end - HistoryBars - NForecast)) / Epochs * 100.0;
|
| | | string str = "";
|
| | | str += StringFormat("%-12s %6.2f%% -> Error %15.8f\n", "Actor", percent, cActor.getRecentAverageError());
|
| | | str += StringFormat("%-12s %6.2f%% -> Error %15.8f\n", "Critic", percent, cCritic.getRecentAverageError());
|
| | | Comment(str);
|
| | | ticks = GetTickCount();
|
| | | }
|
| | | }
|
| | | }
|
| | | Comment("");
|
| | | //---
|
| | | PrintFormat("%s -> %d -> %-15s %10.7f", __FUNCTION__, __LINE__, "Actor", cActor.getRecentAverageError());
|
| | | PrintFormat("%s -> %d -> %-15s %10.7f", __FUNCTION__, __LINE__, "Critic", cCritic.getRecentAverageError());
|
| | | ExpertRemove();
|
| | | //---
|
| | | }
|
| | | //+------------------------------------------------------------------+
|
2026-08-13 23:48:47 +03:00 | | |
|