totalLength = input(10, 'Total Length', group = "STC")
fastMA_Length = input(30, 'Fast MA Length', group = "STC")
slowMA_Length = input(40, 'Slow MA Length', group = "STC")

calculateMACD(priceData, fastLength, slowLength) =>
    fastMA = ta.ema(priceData, fastLength)
    slowMA = ta.ema(priceData, slowLength)
    MACD = fastMA - slowMA
    MACD

calculateSTC(baseLength, fastLength, slowLength) =>
    stcAdjustmentFactor = input.float(0.5, step = 0.01, group = "STC")
    var float previousSTCPercentage = 0.0
    var float stcCycleLowest = 0.0
    var float stcCycleHighestNormalized = 0.0
    var float finalSTCValue = 0.0
    macdValue = calculateMACD(open, fastLength, slowLength)
    cycleLow = ta.lowest(macdValue, baseLength)
    cycleRange = ta.highest(macdValue, baseLength) - cycleLow
    normalizedMACD = cycleRange > 0 ? (macdValue - cycleLow) / cycleRange * 100 : nz(previousSTCPercentage[1])
    stcCycleLowest := na(stcCycleLowest[1]) ? normalizedMACD : stcCycleLowest[1] + stcAdjustmentFactor * (normalizedMACD - stcCycleLowest[1])
    cycleLowest = ta.lowest(stcCycleLowest, baseLength)
    cycleHighestRange = ta.highest(stcCycleLowest, baseLength) - cycleLowest
    stcCycleHighestNormalized := cycleHighestRange > 0 ? (stcCycleLowest - cycleLowest) / cycleHighestRange * 100 : nz(stcCycleHighestNormalized[1])
    finalSTCValue := na(finalSTCValue[1]) ? stcCycleHighestNormalized : finalSTCValue[1] + stcAdjustmentFactor * (stcCycleHighestNormalized - finalSTCValue[1])
    finalSTCValue

mainSTCValue = calculateSTC(totalLength, fastMA_Length, slowMA_Length)

stcLong = mainSTCValue > mainSTCValue[1]
stcShort = mainSTCValue < mainSTCValue[1]