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MQL5およびMQL4で自動売買ロボットを注文する方法
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仕事が完了した
実行時間22 時間
依頼者からのフィードバック
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.
開発者からのフィードバック
Thanks for your fair order. Wish you safe trades,
指定
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])
up
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)
応答済み
1
評価
プロジェクト
598
35%
仲裁
64
20%
/
58%
期限切れ
147
25%
暇
パブリッシュした人: 1 article, 22 codes
2
評価
プロジェクト
499
67%
仲裁
5
40%
/
0%
期限切れ
4
1%
暇
パブリッシュした人: 8 codes
3
評価
プロジェクト
373
72%
仲裁
19
32%
/
47%
期限切れ
14
4%
暇
パブリッシュした人: 14 codes
プロジェクト情報
予算
30+ USD
締め切り
最高 2 日