Warrior_EA/references/MQL5/Experts/DoC/Trajectory.mqh

817 lines
51 KiB
MQL5

<EFBFBD><EFBFBD>//+------------------------------------------------------------------+
//| Trajectory.mqh |
//| 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"
//+------------------------------------------------------------------+
//| Rewards structure |
//| 0 - Delta Balance |
//| 1 - Delta Equity ( "-" Drawdown / "+" Profit) |
//| 2 - Penalty for no opened positions |
//+------------------------------------------------------------------+
#include "..\RL\FQF.mqh"
//---
#define HistoryBars 100 //Depth of history
#define BarDescr 9 //Elements for 1 bar description
#define NBarInPattern 1 //Bars for 1 pattern description
#define AccountDescr 8 //Account description
#define NActions 6 //Number of possible Actions
#define NRewards 3 //Number of rewards
#define TimeDescription 4
#define LatentCount 1024
#define EmbeddingSize 32
#define Sparse 0.4f
#define Buffer_Size 6500
#define DiscFactor 0.99f
#define FileName "DoC"
#define MaxReplayBuffer 500
#define MaxSL 1000
#define MaxTP 1000
#define fCAGrad_C 0.3f
#define iCAGrad_Iters 15
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
struct STrajectory;
extern STrajectory Buffer[];
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
struct SState
{
float state[BarDescr*NBarInPattern];
float account[AccountDescr];
float action[NActions];
float rewards[NRewards];
//---
SState(void);
//---
bool Save(int file_handle);
bool Load(int file_handle);
//---
void Clear(void)
{
ArrayInitialize(state, 0);
ArrayInitialize(account, 0);
ArrayInitialize(action, 0);
ArrayInitialize(rewards, 0);
}
//--- overloading
void operator=(const SState &obj)
{
ArrayCopy(state, obj.state);
ArrayCopy(account, obj.account);
ArrayCopy(action, obj.action);
ArrayCopy(rewards, obj.rewards);
}
};
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
SState::SState(void)
{
ArrayInitialize(state, 0);
ArrayInitialize(account, 0);
ArrayInitialize(action, 0);
ArrayInitialize(rewards, 0);
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool SState::Save(int file_handle)
{
if(file_handle == INVALID_HANDLE)
return false;
//---
int total = ArraySize(state);
if(FileWriteInteger(file_handle, total) < sizeof(int))
return false;
for(int i = 0; i < total; i++)
if(FileWriteFloat(file_handle, state[i]) < sizeof(float))
return false;
//---
total = ArraySize(account);
if(FileWriteInteger(file_handle, total) < sizeof(int))
return false;
for(int i = 0; i < total; i++)
if(FileWriteFloat(file_handle, account[i]) < sizeof(float))
return false;
//---
total = ArraySize(action);
if(FileWriteInteger(file_handle, total) < sizeof(int))
return false;
for(int i = 0; i < total; i++)
if(FileWriteFloat(file_handle, action[i]) < sizeof(float))
return false;
total = ArraySize(rewards);
if(FileWriteInteger(file_handle, total) < sizeof(int))
return false;
for(int i = 0; i < total; i++)
if(FileWriteFloat(file_handle, rewards[i]) < sizeof(float))
return false;
//---
return true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool SState::Load(int file_handle)
{
if(file_handle == INVALID_HANDLE)
return false;
if(FileIsEnding(file_handle))
return false;
//---
int total = FileReadInteger(file_handle);
if(total != ArraySize(state))
return false;
//---
for(int i = 0; i < total; i++)
{
if(FileIsEnding(file_handle))
return false;
state[i] = FileReadFloat(file_handle);
}
//---
total = FileReadInteger(file_handle);
if(total != ArraySize(account))
return false;
//---
for(int i = 0; i < total; i++)
{
if(FileIsEnding(file_handle))
return false;
account[i] = FileReadFloat(file_handle);
}
//---
total = FileReadInteger(file_handle);
if(total != ArraySize(action))
return false;
//---
for(int i = 0; i < total; i++)
{
if(FileIsEnding(file_handle))
return false;
action[i] = FileReadFloat(file_handle);
}
//---
total = FileReadInteger(file_handle);
if(total != ArraySize(rewards))
return false;
//---
for(int i = 0; i < total; i++)
{
if(FileIsEnding(file_handle))
return false;
rewards[i] = FileReadFloat(file_handle);
}
//---
return true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
struct STrajectory
{
SState States[Buffer_Size];
int Total;
float DiscountFactor;
bool CumCounted;
//---
STrajectory(void);
//---
bool Add(SState &state);
void CumRevards(void);
void ClearFirstN(const int n);
//---
bool Save(int file_handle);
bool Load(int file_handle);
};
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
STrajectory::STrajectory(void) : Total(0),
DiscountFactor(DiscFactor),
CumCounted(false)
{
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool STrajectory::Save(int file_handle)
{
if(file_handle == INVALID_HANDLE)
return false;
//---
if(!CumCounted)
CumRevards();
if(FileWriteInteger(file_handle, Total) < sizeof(int))
return false;
if(FileWriteFloat(file_handle, DiscountFactor) < sizeof(float))
return false;
for(int i = 0; i < Total; i++)
if(!States[i].Save(file_handle))
return false;
//---
return true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool STrajectory::Load(int file_handle)
{
if(file_handle == INVALID_HANDLE)
return false;
//---
Total = FileReadInteger(file_handle);
if(FileIsEnding(file_handle) || Total >= ArraySize(States))
return false;
DiscountFactor = FileReadFloat(file_handle);
CumCounted = true;
//---
for(int i = 0; i < Total; i++)
if(!States[i].Load(file_handle))
return false;
//---
return true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
void STrajectory::CumRevards(void)
{
if(CumCounted)
return;
//---
for(int i = Total - 2; i >= 0; i--)
for(int r = 0; r < NRewards; r++)
States[i].rewards[r] += States[i + 1].rewards[r] * DiscountFactor;
CumCounted = true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool STrajectory::Add(SState &state)
{
if(Total + 1 >= ArraySize(States))
return false;
States[Total] = state;
Total++;
//---
return true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
void STrajectory::ClearFirstN(const int n)
{
for(int i=0; i<Buffer_Size-n; i++)
States[i]=States[i+n];
Total=MathMax(0,Buffer_Size-n);
for(int i=Total; i<Buffer_Size; i++)
States[i].Clear();
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool SaveTotalBase(void)
{
int total = ArraySize(Buffer);
if(total < 0)
return true;
int handle = FileOpen(FileName + ".bd", FILE_WRITE | FILE_BIN | FILE_COMMON);
if(handle < 0)
return false;
int start = MathMax(total - MaxReplayBuffer, 0);
if(FileWriteInteger(handle, total - start) < INT_VALUE)
{
FileClose(handle);
return false;
}
for(int i = start; i < total; i++)
if(!Buffer[i].Save(handle))
{
FileClose(handle);
return false;
}
FileFlush(handle);
FileClose(handle);
//---
return true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool LoadTotalBase(void)
{
int handle = FileOpen(FileName + ".bd", FILE_READ | FILE_BIN | FILE_COMMON | FILE_SHARE_READ);
if(handle < 0)
return false;
int total = FileReadInteger(handle);
if(total <= 0)
{
FileClose(handle);
return false;
}
if(ArrayResize(Buffer, total) < total)
{
FileClose(handle);
return false;
}
for(int i = 0; i < total; i++)
if(!Buffer[i].Load(handle))
{
FileClose(handle);
return false;
}
FileClose(handle);
//---
return true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool CreateDescriptions(CArrayObj *agent, CArrayObj *rtg)
{
//---
CLayerDescription *descr;
//---
if(!agent)
{
agent = new CArrayObj();
if(!agent)
return false;
}
//--- Agent
agent.Clear();
//--- Input layer
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronBaseOCL;
int prev_count = descr.count = (NRewards + BarDescr*NBarInPattern + AccountDescr + TimeDescription + NActions);
descr.activation = None;
descr.optimization = ADAM;
if(!agent.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(!agent.Add(descr))
{
delete descr;
return false;
}
//--- layer 2
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronEmbeddingOCL;
prev_count = descr.count = HistoryBars;
{
int temp[] = {BarDescr*NBarInPattern,AccountDescr,TimeDescription,NActions,NRewards};
ArrayCopy(descr.windows,temp);
}
int prev_wout = descr.window_out = EmbeddingSize;
if(!agent.Add(descr))
{
delete descr;
return false;
}
//--- layer 3
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronMLMHSparseAttentionOCL;
prev_count = descr.count = prev_count*5;
descr.window = prev_wout;
descr.step = 4;
descr.window_out = 32;
descr.layers = 8;
descr.probability = Sparse;
descr.optimization = ADAM;
if(!agent.Add(descr))
{
delete descr;
return false;
}
//--- layer 4
if(!(descr = new CLayerDescription()))
return false;
descr.type = defNeuronConvOCL;