//@version=5
strategy(title="Indicator Test Strategy", shorttitle="ITS", format=format.price, precision=4)

useDateFilter = input.bool(true, title="Filter Date Range of Backtest",
     group="Backtest Time Period")
backtestStartDate = input.time(timestamp("1 Jan 2018"),
     title="Start Date", group="Backtest Time Period",
     tooltip="This start date is in the time zone of the exchange " +
     "where the chart's instrument trades. It doesn't use the time " +
     "zone of the chart or of your computer.")
backtestEndDate = input.time(timestamp("1 Jan 2092"),
     title="End Date", group="Backtest Time Period",
     tooltip="This end date is in the time zone of the exchange " +
     "where the chart's instrument trades. It doesn't use the time " +
     "zone of the chart or of your computer.")

//Range Conditions
inDateRange = not useDateFilter or (time >= backtestStartDate and
     time < backtestEndDate)

//_________________________________________________________________________________________________________________
//_________________________________________________________________________________________________________________
//_________________________________________________________________________________________________________________
//_________________________________________________________________________________________________________________
timeframej = input.string("3D", "Days", ["1D", "2D", "3D", "4D", "5D", "6D", "7D"],group = "Indicator timeframe")

// Inputs
length = input.int(14, title="Length")
volatilityPeriod = input.int(14, title="Volatility Period")
adaptive = input.bool(true, title="Adaptive")

// Initialize variables
var float gma = na
var float sumOfWeights = na

// Get the standard deviation or use the input value
sigma = adaptive ? ta.stdev(close, volatilityPeriod) : input.float(1.0, title="Fixed StdDev")

// Pre-calculate the highest and lowest values
var float[] highestValues = array.new_float(length, na)
var float[] lowestValues = array.new_float(length, na)

for i = 0 to length - 1
    array.set(highestValues, i, ta.highest(close, i + 1))
    array.set(lowestValues, i, ta.lowest(close, i + 1))

// Calculate GMA
gma := 0.0
sumOfWeights := 0.0
for i = 0 to length - 1
    weight = math.exp(-math.pow((i - (length - 1)) / (2 * sigma), 2) / 2)
    value = array.get(highestValues, i) + array.get(lowestValues, i)
    gma := gma + (value * weight)
    sumOfWeights := sumOfWeights + weight
gma := (gma / sumOfWeights) / 2

// Define long and short conditions
Long = close > gma
Short = close < gma



long1 = request.security(syminfo.tickerid,timeframej,Long)
short1 = request.security(syminfo.tickerid,timeframej,Short)

var color barColor = na

// Determine the bar color based on the conditions
if long1
    barColor := color.green
else if short1
    barColor := color.red

// Apply the bar color
barcolor(barColor)

// Strategy Execution
if (long1) and inDateRange
    strategy.entry("Long", strategy.long)

if (short1) and inDateRange
    strategy.entry("Short", strategy.short)