90 lines
3.3 KiB
MQL5
90 lines
3.3 KiB
MQL5
//+------------------------------------------------------------------+
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//| SeriesArray.mqh |
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//| |
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//| KnitPkg for MetaTrader |
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//| |
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//| MIT License |
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//| Copyright (c) 2025 Douglas Rechia |
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//| |
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//| Generic array wrapper implementing ITimeSeries<T> interface. |
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//| Wraps arbitrary arrays with chronological ordering support. |
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//| |
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//+------------------------------------------------------------------+
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#include "TimeSeries.mqh"
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//+------------------------------------------------------------------+
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//| ITimeSeriesArraySetup — interface for custom time series setup
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//| Extend this interface to populate arrays in time series order
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//| (index 0 = most recent element)
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//+------------------------------------------------------------------+
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template<typename T>
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interface ITimeSeriesArraySetup
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{
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public:
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// Populates array in time series order (index 0 = most recent)
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void Setup(T &array[]);
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};
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//+------------------------------------------------------------------+
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//| SeriesArray — wraps arrays as ISeries<T>
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//+------------------------------------------------------------------+
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template<typename T>
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class TimeSeriesArray : public ITimeSeries<T>
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{
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private:
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T m_array[];
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public:
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// Constructor — populates m_array via custom setup
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// setup: object implementing ITimeSeriesArraySetup<T> that populates
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// the array in time series order (index 0 = most recent element)
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TimeSeriesArray(ITimeSeriesArraySetup<T> &setup)
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{
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setup.Setup(m_array);
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}
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// Constructor — copies data from source array
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// array - source array with data to be copied into this time series.
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// startIndex, endIndex: range within source array (-1 = full range)
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// isSourceTimeseries: use true if source array is a time series
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// (0 index contains the most recent data) or
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// false otherwise
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TimeSeriesArray(const T &array[], int startIndex=-1, int endIndex=-1, bool isSourceTimeseries=true)
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{
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if(startIndex < 0)
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startIndex = 0;
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if(endIndex < 0)
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endIndex = ArraySize(array)-1;
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int m = endIndex - startIndex + 1;
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ArrayResize(m_array, m);
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int i,j;
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if(isSourceTimeseries)
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{
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j=0;
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for(i = startIndex; i <= endIndex; i++)
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m_array[j++] = array[i];
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}
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else
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{
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j=m-1;
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for(i = startIndex; i <= endIndex; i++)
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m_array[j--] = array[i];
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}
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}
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// Returns element at the given index
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virtual T ValueAtShift(int shift = 0)
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{
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return m_array[shift];
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}
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// Returns the total number of elements
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int Size()
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{
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return ArraySize(m_array);
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}
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};
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//+------------------------------------------------------------------+
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