traduzione codice TW Trend reversal Predictor

Buongiorno a tutti,

vorrei provare questo interessante codice trovato su TW, abbastanza recente e che mi sembra interessante.

Un grande grazie per il consueto aiuto.

https://www.tradingview.com/script/T7AZI0z6-Trend-Reversal-Predictor/

//@version=5
indicator(“Danger Zones”, overlay=true)

// Step 1: Trend Identification
length = input.int(200, minval=1)
src = input(close, title=”Source”)
hma = ta.wma(2 * ta.wma(src, length / 2) – ta.wma(src, length), math.floor(math.sqrt(length)))
start = input(0.02)
increment = input(0.02)
maximum = input(0.2, “Max Value”)
sar = ta.sar(start, increment, maximum)

trendUp = close > hma and close > sar
trendDown = close < hma and close < sar
trendNeutral = not trendUp and not trendDown

// Step 2: Danger Zone Identification
buyingVolumeSlowdownPeriod = input(5, title=”Buying Volume Slowdown Period”)
sellingVolumeSlowdownPeriod = input(5, title=”Selling Volume Slowdown Period”)
buyingVolumeRateOfChange = ta.change(volume, buyingVolumeSlowdownPeriod)
sellingVolumeRateOfChange = ta.change(volume, sellingVolumeSlowdownPeriod)
adrPeriod = input(14, title=”Average Daily Range (ADR) Period”)
adr = ta.atr(adrPeriod)

// Calculate average volume rate of change and net price movement
averageBuyingVolumeRateOfChange = ta.sma(buyingVolumeRateOfChange, 5)
averageSellingVolumeRateOfChange = ta.sma(sellingVolumeRateOfChange, 5)
averageNetPriceMovement = ta.sma(close – close[1], 5)

// RSI Integration
ma(source, length, type) =>
switch type
“SMA” => ta.sma(source, length)
“Bollinger Bands” => ta.sma(source, length)
“EMA” => ta.ema(source, length)
“SMMA (RMA)” => ta.rma(source, length)
“WMA” => ta.wma(source, length)
“VWMA” => ta.vwma(source, length)

rsiLengthInput = input.int(14, minval=1, title=”RSI Length”, group=”RSI Settings”)
rsiSourceInput = input.source(close, “Source”, group=”RSI Settings”)
maTypeInput = input.string(“SMA”, title=”MA Type”, options=[“SMA”, “Bollinger Bands”, “EMA”, “SMMA (RMA)”, “WMA”, “VWMA”], group=”MA Settings”)
maLengthInput = input.int(14, title=”MA Length”, group=”MA Settings”)
bbMultInput = input.float(2.0, minval=0.001, maxval=50, title=”BB StdDev”, group=”MA Settings”)

up = ta.rma(math.max(ta.change(rsiSourceInput), 0), rsiLengthInput)
down = ta.rma(-math.min(ta.change(rsiSourceInput), 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 – (100 / (1 + up / down))
rsiMA = ma(rsi, maLengthInput, maTypeInput)
isBB = maTypeInput == “Bollinger Bands”
rsiBelowMA = rsi < rsiMA
rsiAboveMA = rsi > rsiMA

// Step 3: Trend Ending Prediction

// Combine Conditions
uptrendDangerZone = trendUp and buyingVolumeRateOfChange <= averageBuyingVolumeRateOfChange and averageNetPriceMovement < 0 and rsiBelowMA
downtrendDangerZone = trendDown and sellingVolumeRateOfChange <= averageSellingVolumeRateOfChange and averageNetPriceMovement > 0 and rsiAboveMA
rsiConditionUp = trendUp and rsiBelowMA
rsiConditionDown = trendDown and rsiAboveMA
trendReversalConditionUp = uptrendDangerZone and rsiConditionUp
trendReversalConditionDown = downtrendDangerZone and rsiConditionDown

// Final Trend Ending Prediction
trendEndingPredictionUp = trendReversalConditionUp and rsiBelowMA
trendEndingPredictionDown = trendReversalConditionDown and rsiAboveMA

bgcolor(uptrendDangerZone ? color.orange : downtrendDangerZone ? color.blue : na, transp=70)