//+------------------------------------------------------------------+ //| Study.mq5 | //| Copyright DNG® | //| https://www.mql5.com/ru/users/dng | //+------------------------------------------------------------------+ #property copyright "Copyright DNG®" #property link "https://www.mql5.com/ru/users/dng" #property version "1.00" //+------------------------------------------------------------------+ //| | //+------------------------------------------------------------------+ #define Study #define StudyOnline #include "Trajectory.mqh" #include #include //+------------------------------------------------------------------+ //| Input parameters | //+------------------------------------------------------------------+ input datetime Start = D'2020.01.01'; input datetime End = D'2025.01.01'; input int Iterations = 100000; input int Repeats = 5; input group "---- Indicators ----" input ENUM_TIMEFRAMES TimeFrame = PERIOD_M1; //--- input group "---- RSI ----" input int RSIPeriod = 14; //Period input ENUM_APPLIED_PRICE RSIPrice = PRICE_CLOSE; //Applied price //--- input group "---- CCI ----" input int CCIPeriod = 14; //Period input ENUM_APPLIED_PRICE CCIPrice = PRICE_TYPICAL; //Applied price //--- input group "---- ATR ----" input int ATRPeriod = 14; //Period //--- input group "---- MACD ----" input int FastPeriod = 12; //Fast input int SlowPeriod = 26; //Slow input int SignalPeriod = 9; //Signal input ENUM_APPLIED_PRICE MACDPrice = PRICE_CLOSE; //Applied price //+------------------------------------------------------------------+ //| | //+------------------------------------------------------------------+ CNet cEncoder; //--- CSymbolInfo Symb; MqlRates Rates[]; CiRSI RSI; CiCCI CCI; CiATR ATR; CiMACD MACD; //--- float dError; datetime dtStudied; //--- CBufferFloat bState; CBufferFloat bTime; CBufferFloat bGradient; CBufferFloat *Result; vector check; //+------------------------------------------------------------------+ //| Expert initialization function | //+------------------------------------------------------------------+ int OnInit() { //--- ResetLastError(); //--- load models float temp; CArrayObj *encoder = new CArrayObj(); CArrayObj *actor = new CArrayObj(); CArrayObj *director = new CArrayObj(); CArrayObj *critic = new CArrayObj(); if(!CreateDescriptions(encoder, actor, director, critic)) { delete encoder; delete actor; delete director; delete critic; return INIT_FAILED; } if(!cEncoder.Load(FileName + "Enc.nnw", temp, temp, temp, dtStudied, true)) { Print("Create new State Encoder"); if(!cEncoder.Create(encoder)) { delete encoder; delete actor; delete director; delete critic; return INIT_FAILED; } } delete encoder; delete actor; delete director; delete critic; //--- 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; //--- cEncoder.TrainMode(true); //--- cEncoder.GetLayerOutput(0, Result); if(Result.Total() != (HistoryBars * BarDescr)) { PrintFormat("Input size of Encoder doesn't match state description (%d <> %d)", Result.Total(), (HistoryBars * BarDescr)); 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(!cEncoder.Save(FileName + "Enc.nnw", 0, 0, 0, TimeCurrent(), true)) PrintFormat("Error of save model: %s", "Encoder"); } delete Result; } //+------------------------------------------------------------------+ //| ChartEvent function | //+------------------------------------------------------------------+ void OnChartEvent(const int id, const long &lparam, const double &dparam, const string &sparam) { //--- switch(id) { case 1001: Train(); break; case 1007: PrintFormat("Wrong event: %d", id); 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 load = false; do { RSI.Refresh(); CCI.Refresh(); ATR.Refresh(); MACD.Refresh(); count++; load = (RSI.BarsCalculated() >= bars && CCI.BarsCalculated() >= bars && ATR.BarsCalculated() >= bars && MACD.BarsCalculated() >= bars ); Sleep(100); count++; } while(!load && count < 100); if(!load) { PrintFormat("%s -> %d The training data has not been loaded", __FUNCTION__, __LINE__); ExpertRemove(); return; } //--- 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 result, target, neg_target; bool Stop = false; //--- uint ticks = GetTickCount(); //--- for(int iter = 0; (iter < Iterations && !IsStopped() && !Stop); iter ++) { int posit = (int)((MathRand() * MathRand() / MathPow(32767, 2)) * bars); if(!CreateBuffers(posit + end, GetPointer(bState), GetPointer(bTime), Result)) { PrintFormat("%s -> %d", __FUNCTION__, __LINE__); ExpertRemove(); return; } for(int r = 0; r < Repeats; r++) { //--- Feed Forward if(!cEncoder.feedForward((CBufferFloat*)GetPointer(bState), 1, false, (CBufferFloat*)GetPointer(bTime))) { PrintFormat("%s -> %d", __FUNCTION__, __LINE__); Stop = true; break; } //--- Study if(!cEncoder.backProp(Result, (CBufferFloat*)NULL)) { PrintFormat("%s -> %d", __FUNCTION__, __LINE__); Stop = true; break; } //--- if(GetTickCount() - ticks > 500) { double percent = double(iter) * 100.0 / (Iterations); string str = StringFormat("%-12s %6.2f%% -> Error %15.8f\n", "Encoder", percent, cEncoder.getRecentAverageError()); Comment(str); ticks = GetTickCount(); } } } Comment(""); //--- PrintFormat("%s -> %d -> %-15s %10.7f", __FUNCTION__, __LINE__, "Encoder", cEncoder.getRecentAverageError()); ExpertRemove(); //--- } //+------------------------------------------------------------------+ //| | //+------------------------------------------------------------------+ bool CreateBuffers(const int start_bar, CBufferFloat* state, CBufferFloat *time, CBufferFloat* forecast) { if(!state || !time || start_bar < 0 || (start_bar + HistoryBars + NForecast) >= int(Rates.Size())) return false; //--- vector vState = vector::Zeros(HistoryBars * BarDescr); vector vForecast = vector::Zeros(NForecast * BarDescr); time.Clear(); time.Reserve(HistoryBars); int bar = start_bar + NForecast; for(int b = 0; b < (int)HistoryBars; b++) { float open = (float)Rates[b + bar].open; float rsi = (float)RSI.Main(b + bar); float cci = (float)CCI.Main(b + bar); float atr = (float)ATR.Main(b + bar); float macd = (float)MACD.Main(b + bar); float sign = (float)MACD.Signal(b + bar); if(rsi == EMPTY_VALUE || cci == EMPTY_VALUE || atr == EMPTY_VALUE || macd == EMPTY_VALUE || sign == EMPTY_VALUE) return false; //--- int shift = b * BarDescr; vState[shift] = (float)(Rates[b + bar].close - open); vState[shift + 1] = (float)(Rates[b + bar].high - open); vState[shift + 2] = (float)(Rates[b + bar].low - open); vState[shift + 3] = (float)(Rates[b + bar].tick_volume / 1000.0f); vState[shift + 4] = rsi; vState[shift + 5] = cci; vState[shift + 6] = atr; vState[shift + 7] = macd; vState[shift + 8] = sign; if(!time.Add(float(Rates[b + bar].time))) return false; } //--- bar--; for(int b = 0; b < (int)NForecast; b++) { float open = (float)Rates[bar - b].open; float rsi = (float)RSI.Main(bar - b); float cci = (float)CCI.Main(bar - b); float atr = (float)ATR.Main(bar - b); float macd = (float)MACD.Main(bar - b); float sign = (float)MACD.Signal(bar - b); if(rsi == EMPTY_VALUE || cci == EMPTY_VALUE || atr == EMPTY_VALUE || macd == EMPTY_VALUE || sign == EMPTY_VALUE) return false; //--- int shift = (NForecast - b - 1) * BarDescr; vForecast[shift] = (float)(Rates[bar - b].close - open); vForecast[shift + 1] = (float)(Rates[bar - b].high - open); vForecast[shift + 2] = (float)(Rates[bar - b].low - open); vForecast[shift + 3] = (float)(Rates[bar - b].tick_volume / 1000.0f); vForecast[shift + 4] = rsi; vForecast[shift + 5] = cci; vForecast[shift + 6] = atr; vForecast[shift + 7] = macd; vForecast[shift + 8] = sign; } //--- if(!state.AssignArray(vState)) return false; if(!forecast.AssignArray(vForecast)) return false; if(time.GetIndex() >= 0) if(!time.BufferWrite()) return false; //--- return true; } //+------------------------------------------------------------------+