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Warrior_EA/references/MQL5/Experts/DDPG/test.mq5

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fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate - Tighten MAX_WEIGHT from 1.0e6 to 100.0 to prevent unbounded weight growth. - Add MIN_ACTIVATION_DERIVATIVE (1e-4) to avoid zero gradients for saturated units. - Introduce WEIGHT_DECAY (0.01) to decouple decay from Adam updates. - Add MAX_WEIGHT_DELTA (0.1) to clamp per-step Adam updates and prevent overshoot. - Apply sign-agreement gate on weight updates in Adam kernel to only apply steps aligned with current gradient direction. - Fix tanh/sigmoid derivative calculations to use the new floor instead of hard-coded edge-case values.
2026-07-15 21:47:37 -04:00
<EFBFBD><EFBFBD>//+------------------------------------------------------------------+
//| StudyActor.mq5 |
//| Copyright DNG<EFBFBD> |
//| https://www.mql5.com/en/users/dng |
//+------------------------------------------------------------------+
#property copyright "Copyright DNG<00>"
#property link "https://www.mql5.com/en/users/dng"
#property version "1.00"
//+------------------------------------------------------------------+
//| Includes |
//+------------------------------------------------------------------+
#include "..\NeuroNet_DNG\NeuroNet.mqh"
#include <Trade\Trade.mqh>
#include <Trade\SymbolInfo.mqh>
#include <Indicators\Oscilators.mqh>
//+------------------------------------------------------------------+
//| Defines |
//+------------------------------------------------------------------+
#define HistoryBars 20 //Depth of history
#define BarDescr 12 //Elements for 1 bar description
#define AccountDescr 8 //Account description
#define FileName "DDPG"
//+------------------------------------------------------------------+
//| 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;
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
CNet Actor;
//---
float dError;
datetime dtStudied;
//---
CSymbolInfo Symb;
CTrade Trade;
//---
MqlRates Rates[];
CiRSI RSI;
CiCCI CCI;
CiATR ATR;
CiMACD MACD;
//---
CBufferFloat State;
CBufferFloat Account;
CBufferFloat PrevAccount;
CBufferFloat Gradient;
CBufferFloat *Result;
vector<float> check;
vector<float> ActorResult;
float PrevTarget = 0;
double PrevBalance = 0;
double PrevEquity = 0;
bool FirstBar = true;
//+------------------------------------------------------------------+
//| 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(!Actor.Load(FileName + "Act.nnw", temp, temp, temp, dtStudied, true))
{
return INIT_FAILED;
}
//---
COpenCLMy *opencl = Actor.GetOpenCL();
//---
Actor.getResults(Result);
if(Result.Total() != 6)
{
PrintFormat("The scope of the actor does not match the actions count (%d <> %d)", 6, Result.Total());
return INIT_FAILED;
}
ActorResult = vector<float>::Zeros(6);
//---
Actor.GetLayerOutput(0, Result);
if(Result.Total() != (HistoryBars * BarDescr))
{
PrintFormat("Input size of Actor doesn't match state description (%d <> %d)", Result.Total(), (HistoryBars * BarDescr));
return INIT_FAILED;
}
//---
PrevBalance = AccountInfoDouble(ACCOUNT_BALANCE);
PrevEquity = AccountInfoDouble(ACCOUNT_EQUITY);
Gradient.BufferInit(AccountDescr, 0);
Gradient.BufferCreate(opencl);
//---
return(INIT_SUCCEEDED);
}
//+------------------------------------------------------------------+
//| Expert deinitialization function |
//+------------------------------------------------------------------+
void OnDeinit(const int reason)
{
//---
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();
//---
MqlDateTime sTime;
float atr = 0;
State.Clear();
for(int b = 0; b < (int)HistoryBars; b++)
{
float open = (float)Rates[b].open;
TimeToStruct(Rates[b].time, sTime);
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;
//---
State.Add((float)Rates[b].close - open);
State.Add((float)Rates[b].high - open);
State.Add((float)Rates[b].low - open);
State.Add((float)Rates[b].tick_volume / 1000.0f);
State.Add((float)sTime.hour);
State.Add((float)sTime.day_of_week);
State.Add((float)sTime.mon);
State.Add(rsi);
State.Add(cci);
State.Add(atr);
State.Add(macd);
State.Add(sign);
}
//---
vector<float> account = vector<float>::Zeros(AccountDescr - 1);
account[0] = (float)AccountInfoDouble(ACCOUNT_BALANCE);
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);
}
account[2] = (float)buy_value;
account[3] = (float)sell_value;
account[4] = (float)buy_profit;
account[5] = (float)sell_profit;
account[6] = (float)position_discount;
//---
Account.Clear();
Account.Add((float)((account[0] - PrevBalance) / PrevBalance));
Account.Add((float)(account[1] / PrevBalance));
Account.Add((float)((account[1] - PrevEquity) / PrevEquity));
Account.Add(account[2]);
Account.Add(account[3]);
Account.Add((float)(account[4] / PrevBalance));
Account.Add((float)(account[5] / PrevBalance));
Account.Add((float)(account[6] / PrevBalance));
PrevBalance=account[0];
PrevEquity=account[1];
//---
if(Account.GetIndex() >= 0)
if(!Account.BufferWrite())
return;
//---
if(!Actor.feedForward(GetPointer(State), 1, false, GetPointer(Account)))
return;
Actor.getResults(ActorResult);
//---
double min_lot = Symb.LotsMin();
double buy_lot = MathRound((double)ActorResult[0] / min_lot) * min_lot;
double sell_lot = MathRound((double)ActorResult[3] / min_lot) * min_lot;
double buy_tp = NormalizeDouble(Symb.Ask() + ActorResult[1], Symb.Digits());
double buy_sl = NormalizeDouble(Symb.Ask() - ActorResult[2], Symb.Digits());
double sell_tp = NormalizeDouble(Symb.Bid() - ActorResult[4], Symb.Digits());
double sell_sl = NormalizeDouble(Symb.Bid() + ActorResult[5], Symb.Digits());
//---
if(ActorResult[0] > 0 && ActorResult[1] > 0 && ActorResult[2] > 0 && buy_sl > 0)
Trade.Buy(buy_lot, Symb.Name(), Symb.Ask(), buy_sl, buy_tp);
if(ActorResult[3] > 0 && ActorResult[4] > 0 && ActorResult[5] > 0 && sell_tp > 0)
Trade.Sell(sell_lot, Symb.Name(), Symb.Bid(), sell_sl, sell_tp);
//---
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool CreateDescriptions(CArrayObj *actor, CArrayObj *critic)
{
//---
CLayerDescription *descr;
//---
if(!actor)
{
actor = new CArrayObj();
if(!actor)
return false;
}
if(!critic)
{
critic = new CArrayObj();
if(!critic)
return false;
}
//--- Actor
actor.Clear();
//--- Input layer
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
int prev_count = descr.count = (HistoryBars * BarDescr);
descr.window = 0;
descr.activation = None;
descr.optimization = ADAM;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- layer 1
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBatchNormOCL;
descr.count = prev_count;
descr.batch = 1000;
descr.activation = None;
descr.optimization = ADAM;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- layer 2
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronConvOCL;
prev_count = descr.count = prev_count - 1;
descr.window = 2;
descr.step = 1;
descr.window_out = 8;
descr.activation = LReLU;
descr.optimization = ADAM;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- layer 3
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronConvOCL;
prev_count = descr.count = prev_count;
descr.window = 8;
descr.step = 8;
descr.window_out = 8;
descr.activation = LReLU;
descr.optimization = ADAM;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- layer 4
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
descr.count = 256;
descr.optimization = ADAM;
descr.activation = LReLU;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- layer 5
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
descr.count = 128;
descr.activation = LReLU;
descr.optimization = ADAM;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- layer 6
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronConcatenate;
descr.count = 256;
descr.window = prev_count;
descr.step = AccountDescr;
descr.optimization = ADAM;
descr.activation = LReLU;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- layer 7
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
descr.count = 256;
descr.activation = LReLU;
descr.optimization = ADAM;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- layer 8
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
descr.count = 256;
descr.activation = LReLU;
descr.optimization = ADAM;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- layer 9
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
descr.count = 6;
descr.optimization = ADAM;
descr.activation = LReLU;
if(!actor.Add(descr))
{
delete descr;
return false;
}
//--- Critic
critic.Clear();
//--- Input layer
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
prev_count = descr.count = 128;
descr.window = 0;
descr.activation = None;
descr.optimization = ADAM;
if(!critic.Add(descr))
{
delete descr;
return false;
}
//--- layer 1
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronConcatenate;
descr.count = 128;
descr.window = prev_count;
descr.step = 6;
descr.optimization = ADAM;
descr.activation = LReLU;
if(!critic.Add(descr))
{
delete descr;
return false;
}
//--- layer 2
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
descr.count = 128;
descr.activation = LReLU;
descr.optimization = ADAM;
if(!critic.Add(descr))
{
delete descr;
return false;
}
//--- layer 3
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
descr.count = 128;
descr.activation = LReLU;
descr.optimization = ADAM;
if(!critic.Add(descr))
{
delete descr;
return false;
}
//--- layer 4
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
descr.count = 1;
descr.optimization = ADAM;
descr.activation = None;
if(!critic.Add(descr))
{
delete descr;
return false;
}
//---
return true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool IsNewBar(void)
{
static datetime last_bar = 0;
if(last_bar >= iTime(Symb.Name(), TimeFrame, 0))
return false;
//---
last_bar = iTime(Symb.Name(), TimeFrame, 0);
return true;
}
//+------------------------------------------------------------------+
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