fast-ta/Tests/Stochastic.Indicator.Test.mq5

161 lines
6.1 KiB
MQL5

//+------------------------------------------------------------------+
//| Stochastic.Indicator.Test.mq5 |
//+------------------------------------------------------------------+
#property indicator_separate_window
#property indicator_buffers 2
#property indicator_plots 2
// Define visual plot properties
#property indicator_label1 "Streaming_K"
#property indicator_type1 DRAW_LINE
#property indicator_color1 clrDodgerBlue
#property indicator_style1 STYLE_SOLID
#property indicator_width1 2
#property indicator_label2 "Streaming_D"
#property indicator_type2 DRAW_LINE
#property indicator_color2 clrOrangeRed
#property indicator_style2 STYLE_SOLID
#property indicator_width2 2
#include "..\\Indicators\\Stochastic.mqh"
// Input parameters
input int InpKPeriod = 5; // K Period
input int InpDPeriod = 3; // D Period
input int InpSlowingPeriod = 3; // Slowing Period
input EMovingAverageType InpMAType = MA_SIMPLE; // Signal MA Type
// Instantiate the encapsulated Stochastic object globally
Stochastic g_stochastic;
// Temporary source struct required by the updated class API
Source g_src;
// Standard MQL5 dynamic indicator plotting arrays
double g_mainBuffer[];
double g_signalBuffer[];
//+------------------------------------------------------------------+
//| Custom indicator initialization function |
//+------------------------------------------------------------------+
int OnInit()
{
// 1. Configure the Stochastic instance
g_stochastic.SetParameters(InpKPeriod,
InpDPeriod,
InpSlowingPeriod,
InpMAType);
// 2. Initialize internal components via overridden lifecycle hook
if(!g_stochastic.Init())
{
Print("FAIL: Stochastic Component Initialization failed.");
return(INIT_FAILED);
}
// 3. Bind raw arrays to the MT5 indicator core execution engine
SetIndexBuffer(0, g_mainBuffer, INDICATOR_DATA);
SetIndexBuffer(1, g_signalBuffer, INDICATOR_DATA);
PlotIndexSetInteger(0,
PLOT_DRAW_BEGIN,
InpKPeriod + InpSlowingPeriod - 2);
PlotIndexSetInteger(1,
PLOT_DRAW_BEGIN,
InpKPeriod + InpSlowingPeriod + InpDPeriod - 3);
PrintFormat("PASS: Stochastic Pipeline Initialized with K: %d, D: %d, Slowing: %d",
InpKPeriod,
InpDPeriod,
InpSlowingPeriod);
return(INIT_SUCCEEDED);
}
//+------------------------------------------------------------------+
//| Custom indicator iteration function |
//+------------------------------------------------------------------+
int OnCalculate(const int rates_total,
const int prev_calculated,
const datetime &time[],
const double &open[],
const double &high[],
const double &low[],
const double &close[],
const long &tick_volume[],
const long &volume[],
const int &spread[])
{
// Block processing if chart history contains fewer bars than our K period
if(rates_total < InpKPeriod)
return(0);
// Establish historical limit loop boundaries
int limit = prev_calculated > 0 ? prev_calculated - 1 : 0;
// Handle full recalculation environments cleanly
if(limit == 0)
{
g_stochastic.Reset(); // Falls back to clearing components
}
// --- MAIN PIPELINE LOOP ---
for(int i = limit; i < rates_total && !_StopFlag; i++)
{
// Pack the OHLC bar context into the expected struct signature
g_src = Source::From(open[i],
high[i],
low[i],
close[i],
time[i]);
// Update the complete indicator state machine
g_stochastic.Update(g_src);
// Read both output lines from the container and map to MT5 chart indexes
// Since i is ascending here, we always fetch the newest sample (offset 0)
g_mainBuffer[i] = g_stochastic.GetValue(0, Stochastic::MAIN);
g_signalBuffer[i] = g_stochastic.GetValue(0, Stochastic::SIGNAL);
if(i == rates_total - 2)
{
for(int j = 0; j < InpKPeriod && i - j >= 0; j++)
{
PrintFormat("K: g_mainBuffer[%i] = %f, g_stochastic.GetValue(%i, Stochastic::MAIN) = %f, equal? = %s",
i - j,
g_mainBuffer[i - j],
j,
g_stochastic.GetValue(j, Stochastic::MAIN),
g_mainBuffer[i - j] == g_stochastic.GetValue(j, Stochastic::MAIN) ? "True" : "False");
PrintFormat("D: g_signalBuffer[%i] = %f, g_stochastic.GetValue(%i, Stochastic::SIGNAL) = %f, equal? = %s",
i - j,
g_signalBuffer[i - j],
j,
g_stochastic.GetValue(j, Stochastic::SIGNAL),
g_signalBuffer[i - j] == g_stochastic.GetValue(j, Stochastic::SIGNAL) ? "True" : "False");
}
}
else if(i == rates_total - 1)
{
int j = 0;
Comment(StringFormat("K: g_mainBuffer[%i] = %f, g_stochastic.GetValue(%i, Stochastic::MAIN) = %f, equal? = %s\nD: g_signalBuffer[%i] = %f, g_stochastic.GetValue(%i, Stochastic::SIGNAL) = %f, equal? = %s",
i - j,
g_mainBuffer[i - j],
j,
g_stochastic.GetValue(j, Stochastic::MAIN),
g_mainBuffer[i - j] == g_stochastic.GetValue(j, Stochastic::MAIN) ? "True" : "False",
i - j,
g_signalBuffer[i - j],
j,
g_stochastic.GetValue(j, Stochastic::SIGNAL),
g_signalBuffer[i - j] == g_stochastic.GetValue(j, Stochastic::SIGNAL) ? "True" : "False"));
}
}
return(rates_total);
}
//+------------------------------------------------------------------+