//+------------------------------------------------------------------+ //| Research.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" //+------------------------------------------------------------------+ //| Includes | //+------------------------------------------------------------------+ #include "Trajectory.mqh" #include #include #include //+------------------------------------------------------------------+ //| Input parameters | //+------------------------------------------------------------------+ input ENUM_TIMEFRAMES TimeFrame = PERIOD_H1; //--- 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 input int Agent = 1; //+------------------------------------------------------------------+ //| | //+------------------------------------------------------------------+ SState sState; STrajectory Base; STrajectory Buffer[]; STrajectory Frame[1]; CNet Encoder; CNet StateEncoder; CNet Actor; CNet Goal; //--- float dError; datetime dtStudied; //--- CSymbolInfo Symb; CTrade Trade; //--- MqlRates Rates[]; CiRSI RSI; CiCCI CCI; CiATR ATR; CiMACD MACD; //--- CBufferFloat bState; CBufferFloat bAccount; CBufferFloat *Result; vector check; double PrevBalance = 0; double PrevEquity = 0; //+------------------------------------------------------------------+ //| Expert initialization function | //+------------------------------------------------------------------+ int OnInit() { //--- if(!Symb.Name(_Symbol)) return INIT_FAILED; Symb.Refresh(); //--- 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; if(!RSI.BufferResize(HistoryBars) || !CCI.BufferResize(HistoryBars) || !ATR.BufferResize(HistoryBars) || !MACD.BufferResize(HistoryBars)) { PrintFormat("%s -> %d", __FUNCTION__, __LINE__); return INIT_FAILED; } //--- if(!Trade.SetTypeFillingBySymbol(Symb.Name())) return INIT_FAILED; //--- load models float temp; if(!Encoder.Load(FileName + "Enc.nnw", temp, temp, temp, dtStudied, true) || !StateEncoder.Load(FileName + "StEnc.nnw", temp, temp, temp, dtStudied, true) || !Goal.Load(FileName + "Goal.nnw", temp, temp, temp, dtStudied, true) || !Actor.Load(FileName + "Act.nnw", temp, temp, temp, dtStudied, true)) { Print("Cann't load pretrained models"); return INIT_FAILED; } //--- StateEncoder.SetOpenCL(Actor.GetOpenCL()); Encoder.SetOpenCL(Actor.GetOpenCL()); Goal.SetOpenCL(Actor.GetOpenCL()); Encoder.TrainMode(false); //--- Actor.getResults(Result); if(Result.Total() != NActions) { PrintFormat("The scope of the actor does not match the actions count (%d <> %d)", NActions, Result.Total()); return INIT_FAILED; } Encoder.getResults(Result); if(Result.Total() != EmbeddingSize) { PrintFormat("The scope of the Encoder does not match the embedding size (%d <> %d)", EmbeddingSize, Result.Total()); return INIT_FAILED; } //--- Encoder.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; } //--- PrevBalance = AccountInfoDouble(ACCOUNT_BALANCE); PrevEquity = AccountInfoDouble(ACCOUNT_EQUITY); //--- return(INIT_SUCCEEDED); } //+------------------------------------------------------------------+ //| Expert deinitialization function | //+------------------------------------------------------------------+ void OnDeinit(const int reason) { //--- //if(Base.Total > 0) // { // LoadTotalBase(); // int total = ArraySize(Buffer); // if(ArrayResize(Buffer, total + 1, 0) < 0) // return; // Buffer[total] = Base; // printf("total %d", MathMin(total + 1, MaxReplayBuffer)); // SaveTotalBase(); // } delete Result; } //+------------------------------------------------------------------+ //| Expert tick function | //+------------------------------------------------------------------+ void OnTick() { //--- if(!IsNewBar()) return; //--- int bars = CopyRates(Symb.Name(), TimeFrame, iTime(Symb.Name(), TimeFrame, 1), HistoryBars, Rates); if(!ArraySetAsSeries(Rates, true)) return; //--- RSI.Refresh(); CCI.Refresh(); ATR.Refresh(); MACD.Refresh(); Symb.Refresh(); Symb.RefreshRates(); //--- float atr = 0; for(int b = 0; b < (int)HistoryBars; b++) { float open = (float)Rates[b].open; float rsi = (float)RSI.Main(b); float cci = (float)CCI.Main(b); atr = (float)ATR.Main(b); float macd = (float)MACD.Main(b); float sign = (float)MACD.Signal(b); if(rsi == EMPTY_VALUE || cci == EMPTY_VALUE || atr == EMPTY_VALUE || macd == EMPTY_VALUE || sign == EMPTY_VALUE) continue; //--- int shift = b * BarDescr; sState.state[shift] = (float)(Rates[b].close - open); sState.state[shift + 1] = (float)(Rates[b].high - open); sState.state[shift + 2] = (float)(Rates[b].low - open); sState.state[shift + 3] = (float)(Rates[b].tick_volume / 1000.0f); sState.state[shift + 4] = rsi; sState.state[shift + 5] = cci; sState.state[shift + 6] = atr; sState.state[shift + 7] = macd; sState.state[shift + 8] = sign; } bState.AssignArray(sState.state); //--- sState.account[0] = (float)AccountInfoDouble(ACCOUNT_BALANCE); sState.account[1] = (float)AccountInfoDouble(ACCOUNT_EQUITY); //--- double buy_value = 0, sell_value = 0, buy_profit = 0, sell_profit = 0; double position_discount = 0; double multiplyer = 1.0 / (60.0 * 60.0 * 10.0); int total = PositionsTotal(); datetime current = TimeCurrent(); for(int i = 0; i < total; i++) { if(PositionGetSymbol(i) != Symb.Name()) continue; double profit = PositionGetDouble(POSITION_PROFIT); switch((int)PositionGetInteger(POSITION_TYPE)) { case POSITION_TYPE_BUY: buy_value += PositionGetDouble(POSITION_VOLUME); buy_profit += profit; break; case POSITION_TYPE_SELL: sell_value += PositionGetDouble(POSITION_VOLUME); sell_profit += profit; break; } position_discount += profit - (current - PositionGetInteger(POSITION_TIME)) * multiplyer * MathAbs(profit); } sState.account[2] = (float)buy_value; sState.account[3] = (float)sell_value; sState.account[4] = (float)buy_profit; sState.account[5] = (float)sell_profit; sState.account[6] = (float)position_discount; sState.account[7] = (float)Rates[0].time; //--- bAccount.Clear(); bAccount.Add((float)((sState.account[0] - PrevBalance) / PrevBalance)); bAccount.Add((float)(sState.account[1] / PrevBalance)); bAccount.Add((float)((sState.account[1] - PrevEquity) / PrevEquity)); bAccount.Add(sState.account[2]); bAccount.Add(sState.account[3]); bAccount.Add((float)(sState.account[4] / PrevBalance)); bAccount.Add((float)(sState.account[5] / PrevBalance)); bAccount.Add((float)(sState.account[6] / PrevBalance)); double x = (double)Rates[0].time / (double)(D'2024.01.01' - D'2023.01.01'); bAccount.Add((float)MathSin(2.0 * M_PI * x)); x = (double)Rates[0].time / (double)PeriodSeconds(PERIOD_MN1); bAccount.Add((float)MathCos(2.0 * M_PI * x)); x = (double)Rates[0].time / (double)PeriodSeconds(PERIOD_W1); bAccount.Add((float)MathSin(2.0 * M_PI * x)); x = (double)Rates[0].time / (double)PeriodSeconds(PERIOD_D1); bAccount.Add((float)MathSin(2.0 * M_PI * x)); //--- if(bAccount.GetIndex() >= 0) if(!bAccount.BufferWrite()) return; //--- if(!Encoder.feedForward((CBufferFloat*)GetPointer(bState), 1, false, (CNet*)GetPointer(Encoder)) || !StateEncoder.feedForward((CNet *)GetPointer(Encoder), -1, (CBufferFloat *)GetPointer(bAccount)) || !Goal.feedForward((CNet *)GetPointer(Encoder), -1, (CBufferFloat *)NULL) || !Actor.feedForward((CNet *)GetPointer(StateEncoder), -1, (CNet *)GetPointer(Goal))) return; //--- PrevBalance = sState.account[0]; PrevEquity = sState.account[1]; //--- vector temp; Actor.getResults(temp); if(temp.Size() < NActions) temp = vector::Zeros(NActions); //--- double min_lot = Symb.LotsMin(); double step_lot = Symb.LotsStep(); double stops = MathMax(Symb.StopsLevel(), 1) * Symb.Point(); if(temp[0] >= temp[3]) { temp[0] -= temp[3]; temp[3] = 0; } else { temp[3] -= temp[0]; temp[0] = 0; } //--- buy control if(temp[0] < min_lot || (temp[1] * MaxTP * Symb.Point()) <= stops || (temp[2] * MaxSL * Symb.Point()) <= stops) { if(buy_value > 0) CloseByDirection(POSITION_TYPE_BUY); } else { double buy_lot = min_lot + MathRound((double)(temp[0] - min_lot) / step_lot) * step_lot; double buy_tp = NormalizeDouble(Symb.Ask() + temp[1] * MaxTP * Symb.Point(), Symb.Digits()); double buy_sl = NormalizeDouble(Symb.Ask() - temp[2] * MaxSL * Symb.Point(), Symb.Digits()); if(buy_value > 0) TrailPosition(POSITION_TYPE_BUY, buy_sl, buy_tp); if(buy_value != buy_lot) { if(buy_value > buy_lot) ClosePartial(POSITION_TYPE_BUY, buy_value - buy_lot); else Trade.Buy(buy_lot - buy_value, Symb.Name(), Symb.Ask(), buy_sl, buy_tp); } } //--- sell control if(temp[3] < min_lot || (temp[4] * MaxTP * Symb.Point()) <= stops || (temp[5] * MaxSL * Symb.Point()) <= stops) { if(sell_value > 0) CloseByDirection(POSITION_TYPE_SELL); } else { double sell_lot = min_lot + MathRound((double)(temp[3] - min_lot) / step_lot) * step_lot;; double sell_tp = NormalizeDouble(Symb.Bid() - temp[4] * MaxTP * Symb.Point(), Symb.Digits()); double sell_sl = NormalizeDouble(Symb.Bid() + temp[5] * MaxSL * Symb.Point(), Symb.Digits()); if(sell_value > 0) TrailPosition(POSITION_TYPE_SELL, sell_sl, sell_tp); if(sell_value != sell_lot) { if(sell_value > sell_lot) ClosePartial(POSITION_TYPE_SELL, sell_value - sell_lot); else Trade.Sell(sell_lot - sell_value, Symb.Name(), Symb.Bid(), sell_sl, sell_tp); } } //--- //sState.rewards[0] = bAccount[0]; //sState.rewards[1] = 1.0f - bAccount[1]; //vector log_prob; //if((buy_value + sell_value) == 0) // sState.rewards[2] -= (float)(atr / PrevBalance); //else // sState.rewards[2] = 0; //for(ulong i = 0; i < NActions; i++) // sState.action[i] = temp[i]; //sState.rewards[3] = 0; //sState.rewards[4] = 0; //if(!Base.Add(sState)) // ExpertRemove(); } //+------------------------------------------------------------------+