MQL5.com의 프리랜스 서비스: Conversion of TradingView Pine Script to MQL5 Indicator

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실행 시간 22 시간

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I hired this developer to create a complex custom indicator. The code was flawless, with zero bugs, and they implemented all my requested features precisely.

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Thanks for your fair order. Wish you safe trades,

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명시

Please convert the 2 Pine Scripts below into MQL5 Indicator, it has to be done in 2 days:

1. RMD

//@version=5

indicator('Ranging Market Detector', shorttitle='RMD')

// input paraneters

treshold_level = input.float(title='treshold', defval=4, minval=0, step=1)

//Kalman filter calculation

p = ohlc4

value1 = 0.0

value2 = 0.0

klmf = 0.0

value1 := 0.2 * (p - p[1]) + 0.8 * nz(value1[1])

value2 := 0.1 * (high - low) + 0.8 * nz(value2[1])

lambda = math.abs(value1 / value2)

alpha = (-lambda * lambda + math.sqrt(lambda * lambda * lambda * lambda + 16 * lambda * lambda)) / 8

klmf := alpha * p + (1 - alpha) * nz(klmf[1])

// Calculateing the absolute value of the Kalman filter curve slope

klmf_diff = math.abs(klmf - klmf[1])

// Long term average of the Kalman filter slope

av_klmf_diff = 1.0 * ta.ema(klmf_diff, 200)

// The Kalman filter slope minus the average slope (Decline from the average slope)

// This slope decline is divided by the average slope value to normalize it

normalized_slope_decline = (klmf_diff - av_klmf_diff) / av_klmf_diff

// Condition that defines the trend regime

// Slope declined from the average by not less than the given treshold value

trend_condition = (normalized_slope_decline >= treshold_level) or (normalized_slope_decline[1] >= treshold_level)

bgcol = trend_condition ? color.new(color.yellow, 30) : color.new(color.gray, 30)

// Plot normalized slope decline as histogram plot

plot(normalized_slope_decline, style=plot.style_columns, color=bgcol, linewidth=3)

//plot(lambda, style=plot.style_histogram, color=color.new(color.blue, 0), linewidth=3)

// Plot treshold level line

plot(treshold_level, color=color.new(color.yellow, 0))

2. HalfTrend

//@version=5

indicator('HalfTrend', overlay=true)

amplitude = input(title='Amplitude', defval=1)

channelDeviation = 2

atr_input = 100

showArrows = true

showChannels = true

var int trend = 0

var int nextTrend = 0

var float maxLowPrice = nz(low[1], low)

var float minHighPrice = nz(high[1], high)

var float up = 0.0

var float down = 0.0

float atrHigh = 0.0

float atrLow = 0.0

float arrowUp = na

float arrowDown = na

atr2 = ta.atr(atr_input) / 2

dev = channelDeviation * atr2

highPrice = high[math.abs(ta.highestbars(amplitude))]

lowPrice = low[math.abs(ta.lowestbars(amplitude))]

highma = ta.ema(high, amplitude)

lowma = ta.ema(low, amplitude)

if nextTrend == 1

maxLowPrice := math.max(lowPrice, maxLowPrice)

if highma < maxLowPrice and close < nz(low[1], low)

trend := 1

nextTrend := 0

minHighPrice := highPrice

minHighPrice

else

minHighPrice := math.min(highPrice, minHighPrice)

if lowma > minHighPrice and close > nz(high[1], high)

trend := 0

nextTrend := 1

maxLowPrice := lowPrice

maxLowPrice

if trend == 0

if not na(trend[1]) and trend[1] != 0

up := na(down[1]) ? down : down[1]

arrowUp := up - atr2

arrowUp

else

up := na(up[1]) ? maxLowPrice : math.max(maxLowPrice, up[1])

atrHigh := up + dev

atrLow := up - dev

atrLow

else

if not na(trend[1]) and trend[1] != 1

down := na(up[1]) ? up : up[1]

arrowDown := down + atr2

arrowDown

else

down := na(down[1]) ? minHighPrice : math.min(minHighPrice, down[1])

down

atrHigh := down + dev

atrLow := down - dev

atrLow

ht = trend == 0 ? up : down

var color buyColor = color.blue

var color sellColor = color.red

htColor = trend == 0 ? buyColor : sellColor

htPlot = plot(ht, title='HalfTrend', linewidth=2, color=htColor)

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