Service freelance chez MQL5.com: Conversion of TradingView Pine Script to MQL5 Indicator

Tâche terminée

Temps d'exécution 22 heures

Commentaires du client

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.

Commentaires de l'employé

Thanks for your fair order. Wish you safe trades,

Description

Spécifications

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)

Répondu

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Conformité avec les spécifications		5.0
Efficacité dans la résolution des problèmes		5.0
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Qualité des spécifications		5.0
Qualité du contrôle des résultats		5.0
Disponibilité et communication		5.0