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Post From: Pine script to Sierra Chart issue

[2023-04-04 07:45:07]
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User897008 - Posts: 48
Hello, I use ChatGPT converted a pine script to Sierra Chart, but cannot compile success. Can anyone help me fix it? Many thanks!
#include "sierrachart.h"

SCDLLName("Cong Adaptive Moving Average")

SCSFExport scsf_CongAdaptiveMovingAverage(SCStudyInterfaceRef sc)
{
SCSubgraphRef CAMA = sc.Subgraph[0];

SCInputRef Length = sc.Input[0];
SCInputRef Source = sc.Input[1];

if (sc.SetDefaults)
{
sc.GraphName = "Cong Adaptive Moving Average";
sc.GraphRegion = 0;
sc.AutoLoop = 1;

CAMA.Name = "CAMA";
CAMA.PrimaryColor = RGB(70, 187, 241);
CAMA.DrawStyle = DRAWSTYLE_LINE;
CAMA.LineWidth = 4;

Length.Name = "Length";
Length.SetInt(20);
Length.SetIntLimits(1, MAX_STUDY_LENGTH);

Source.Name = "Source";
Source.SetInputDataIndex(SC_LAST);

return;
}

int length = Length.GetInt();
int sourceIndex = Source.GetInputDataIndex();

sc.DataStartIndex = length - 1;

float result = 0.0f, effort = 0.0f, smoothingFactor = 0.0f, cama = 0.0f;

SCFloatArray source = sc.BaseDataIn[sourceIndex];

result = sc.GetHighest(sc.High, length, sc.Index) - sc.GetLowest(sc.Low, length, sc.Index);
effort = sc.GetSummation(sc.TrueRange, length, sc.Index);

if (effort != 0.0f)
{
smoothingFactor = result / effort;
}
else
{
smoothingFactor = 0.0f;
}

cama = smoothingFactor * source[sc.Index] + (1.0f - smoothingFactor) * CAMA.Arrays[0][sc.Index - 1];
CAMA.Arrays[0][sc.Index] = cama;

if (CAMA.Arrays[0][sc.Index] >= CAMA.Arrays[0][sc.Index - 1])
{
CAMA.DataColor[sc.Index] = RGB(70, 187, 241);
}
else
{
CAMA.DataColor[sc.Index] = RGB(231, 19, 136);
}

CAMA[sc.Index] = CAMA.Arrays[0][sc.Index];
}




Pine Script:
//Copyright © 2023, Centaur
//@version=5
indicator(title = "Cong Adaptive Moving Average", shorttitle="CAMA", overlay=true, timeframe="", timeframe_gaps=true)
length = input(title="Length", defval=20)
src = input(close, title="Source")
result = 0.0, effort = 0.0, smoothing_factor = 0.0, cama = 0.0
result := ta.highest(high, length) - ta.lowest(low, length)
effort := math.sum(ta.tr, length)
smoothing_factor := result / effort
cama := smoothing_factor * src + (1 - smoothing_factor) * nz(cama[1])
plot(cama,"CAMA",color = cama >= cama[1] ? color.rgb(70, 187, 241) : color.rgb(231, 19, 136),linewidth = 4)
Date Time Of Last Edit: 2023-04-04 07:46:24