SNR SMARTER

MQL5 专家 外汇 股票

指定

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © hanabil

//@version=5
indicator("Smarter SnR", overlay=true, max_bars_back=5000, max_labels_count=500, max_lines_count=500)

// General Function
f_barssince(_cond, _count) =>
    _barssince = bar_index - ta.valuewhen(_cond, bar_index, _count)
    _barssince

barssince(_cond, _count) => int(math.max(1, nz(f_barssince(_cond, _count))))
f_vw(cond, expr, count) => ta.valuewhen(cond, expr, count)

tostring(x, y)=> x + str.tostring(y)

var int dec = str.length(str.tostring(syminfo.mintick))-2

truncate(number) =>
    factor = math.pow(10, dec)
    int(number * factor) / factor

EndTime     = timestamp('19 Jan 2022 00:00 +0000')
inDateRange = time<=EndTime

//-------------------------
// Input Zigzag
gr1         = 'General'
showSnr     = input(true, 'SnR', group=gr1)
showTL      = input(true, 'TrendLine', group=gr1)
showZZ      = input(false, 'Show Zigzag', group=gr1, inline='1')
zzCol       = input.color(color.black, title='', group=gr1, inline='1')

// -----------------
// Input SnR
labStyleUp  = label.style_label_up
labStyleDn  = label.style_label_down
labLeft     = label.style_label_left
linDashed   = line.style_dashed

gr3         = 'Support and Ressistance'
showPriceSnr= input(true, 'Show Price', group=gr3)
snrType     = input.string('Swing HiLo', 'SnR Type', ['Volume', 'Swing HiLo'], group=gr3)
Period      = input.int(defval=20, title='Swing Period', minval=1, group=gr3)
lStyleSRI   = input.string('Solid', 'Line Style', ['Solid', 'Dashed', 'Dotted'], group=gr3)
lStyleSR    = lStyleSRI=='Solid'? line.style_solid : lStyleSRI=='Dashed'? line.style_dashed : line.style_dotted

linWidth    = input(1, 'Linewidth', group=gr3)
lineExtendI = input.string('None', 'Line Extend', ['None', 'Left', 'Right', 'Both'], group=gr3)
lineExtend  = lineExtendI=='None'? extend.none : lineExtendI=='Left'? extend.left : lineExtendI=='Both'? extend.both : extend.right
supCol      = input.color(color.new(color.black, 100), 'Support Label', group=gr3 , inline='1')
supTextCol  = input.color(color.red, 'Text', group=gr3 , inline='1')
supLineCol  = input.color(color.red, 'Line', group=gr3 , inline='1')
resCol      = input.color(color.new(color.black, 100), 'Ressistance Label', group=gr3 , inline='2')
resTextCol  = input.color(color.blue, 'Text', group=gr3 , inline='2')
resLineCol  = input.color(color.blue, 'Line', group=gr3 , inline='2')


// Snr Pivot
ph = ta.pivothigh(Period, Period)
pl = ta.pivotlow(Period, Period)

ph0 = ta.valuewhen(ph, close[Period], 0)
ph1 = ta.valuewhen(ph, close[Period], 1)
ph2 = ta.valuewhen(ph, close[Period], 2)

pl0 = ta.valuewhen(pl, close[Period], 0)
pl1 = ta.valuewhen(pl, close[Period], 1)
pl2 = ta.valuewhen(pl, close[Period], 2)

P0 = ta.valuewhen(ph or pl, close[Period], 0)
P1 = ta.valuewhen(ph or pl, close[Period], 1)
P2 = ta.valuewhen(ph or pl, close[Period], 2)

bar_pl1       = int(math.max(1, nz(f_barssince(pl, 1))))
highest_1     = ta.highest(high[Period], bar_pl1)
highestbars_1 = ta.highestbars(high[Period], bar_pl1)

bar_ph1       = int(math.max(1, nz(f_barssince(ph, 1))))
lowest_1      = ta.lowest(low[Period], bar_ph1)
lowestbars_1  = ta.lowestbars(low[Period], bar_ph1)

h  = ph
hA = pl and P1 == pl1
hAA= pl and P1 == pl1 and P2 == pl2
l  = pl
lA = ph and P1 == ph1
lAA= ph and P1 == ph1 and P2 == pl2

h0 = ta.valuewhen(h, high[Period], 0)
h1 = ta.valuewhen(h, high[Period], 1)
hA0= ta.valuewhen(hA, highest_1, 0)

l0 = ta.valuewhen(l, low[Period], 0)
l1 = ta.valuewhen(l, low[Period], 1)
lA0= ta.valuewhen(lA, lowest_1, 0)


//----------------------------------------------
// Fix Zigzag Pivot
f_AA(x, xA, x0, xA0) => ta.valuewhen(x or xA, close, 0) == ta.valuewhen(x, close, 0)? x0 : xA0
f_offset(x, xA, xAbars) => ta.valuewhen(x or xA, close, 0) == ta.valuewhen(x, close, 0)? -Period : xAbars-Period

fixPh    = hA or h
fixPl    = lA or l
fixPhVal = f_AA(h, hA, h0, hA0)
fixPlVal = f_AA(l, lA, l0, lA0)
fixPhVal1= ta.valuewhen(fixPh, fixPhVal, 1)
fixPlVal1= ta.valuewhen(fixPl, fixPlVal, 1)
offsetPh = -f_barssince(fixPh, 0) + f_offset(h, hA, highestbars_1)
offsetPl = -f_barssince(fixPl, 0) + f_offset(l, lA, lowestbars_1)
offsetPh1= ta.valuewhen(fixPh, offsetPh, 1) - f_barssince(fixPh, 1)
offsetPl1= ta.valuewhen(fixPl, offsetPl, 1) - f_barssince(fixPl, 1)

fixOffset   = fixPh? offsetPh : offsetPl
fixPivotVal = fixPh? fixPhVal : fixPlVal

offsetForHa = -f_barssince(l, 1)- Period
offsetForLa = -f_barssince(h, 1)- Period

if hA and showZZ
    line.new(bar_index+offsetPh, hA0, bar_index-Period, fixPlVal, xloc.bar_index, color=zzCol)
    line.new(bar_index+offsetForHa, l1, bar_index+offsetPh, hA0, color=zzCol)
if lA and showZZ
    line.new(bar_index+offsetPl, lA0, bar_index-Period, fixPhVal, xloc.bar_index, color=zzCol)
    line.new(bar_index+offsetForLa, h1, bar_index+offsetPl, lA0, color=zzCol)
if h and showZZ
    line.new(bar_index-Period, fixPhVal, bar_index+offsetPl, fixPlVal, color=zzCol)
if l and showZZ
    line.new(bar_index-Period, fixPlVal, bar_index+offsetPh, fixPhVal, color=zzCol)

// ---------
// SnR Swing HiLo

fVwSeries (x, xVal, xBar)=>
    x0      = truncate(ta.valuewhen(x, xVal, 0))
    x1      = truncate(ta.valuewhen(x, xVal, 1))
    x2      = truncate(ta.valuewhen(x, xVal, 2))
    x0Bar   = ta.valuewhen(x, xBar, 0) - f_barssince(x, 0)
    x1Bar   = ta.valuewhen(x, xBar, 1) - f_barssince(x, 1)
    x2Bar   = ta.valuewhen(x, xBar, 2) - f_barssince(x, 2)
    
    [x0, x1, x2, x0Bar, x1Bar, x2Bar]

[s1, s2, s3, s1Bar, s2Bar, s3Bar] = fVwSeries(fixPl, fixPlVal, offsetPl)
[r1, r2, r3, r1Bar, r2Bar, r3Bar] = fVwSeries(fixPh, fixPhVal, offsetPh)

fLL(show_, showPrice, x1, y1, x2, y2, text_, labelcol, labelstyle, textcol, extend_, linecol, linestyle, linewidth) =>
    if close and show_
        line_   = line.new(x1, y1, x2, y2, xloc.bar_index, extend_, linecol, linestyle, linewidth)
        line.delete (line_ [1])
        if showPrice
            label_  = label.new(x2, y2, text_, xloc.bar_index, yloc.price, labelcol, labelstyle, textcol)
            label.delete(label_[1])
        
fTst(x, y)=> x + str.tostring(y)

fLL(showSnr, showPriceSnr, bar_index+s1Bar, s1, bar_index+10, s1, fTst('S1 -> ', s1), supCol, labLeft, supTextCol, lineExtend, supLineCol, lStyleSR, linWidth)  
fLL(showSnr, showPriceSnr, bar_index+s2Bar, s2, bar_index+10, s2, fTst('S2 -> ', s2), supCol, labLeft, supTextCol, lineExtend, supLineCol, lStyleSR, linWidth)  
fLL(showSnr, showPriceSnr, bar_index+s3Bar, s3, bar_index+10, s3, fTst('S3 -> ', s3), supCol, labLeft, supTextCol, lineExtend, supLineCol, lStyleSR, linWidth)  
fLL(showSnr, showPriceSnr, bar_index+r1Bar, r1, bar_index+10, r1, fTst('R1 -> ', r1), resCol, labLeft, resTextCol, lineExtend, resLineCol, lStyleSR, linWidth)  
fLL(showSnr, showPriceSnr, bar_index+r2Bar, r2, bar_index+10, r2, fTst('R2 -> ', r2), resCol, labLeft, resTextCol, lineExtend, resLineCol, lStyleSR, linWidth)  
fLL(showSnr, showPriceSnr, bar_index+r3Bar, r3, bar_index+10, r3, fTst('R3 -> ', r3), resCol, labLeft, resTextCol, lineExtend, resLineCol, lStyleSR, linWidth)  

//------------------------------------
// Trendlines
gr5         = 'Trendlines'
showPriceTl = input(true, 'Show Price', group=gr5)
newestTL    = input(true, 'Show Newest', group=gr5)
newestBreak = input(true, 'Show Newest Break Only', group=gr5)
period      = input(20, 'Trendline Period', group=gr5)
srcI        = input.string('Close Body', 'Source', ['Close Body', 'Shadow'], group=gr5)
srcL        = srcI=='Shadow'? low  : close
srcH        = srcI=='Shadow'? high : close
lStyleI     = input.string('Dashed', 'Line Style', ['Solid', 'Dashed', 'Dotted'], group=gr5, inline='2')
y2_mult     = input(1, title='Trendline Length', group=gr5, inline='2')
lStyle      = lStyleI=='Solid'? line.style_solid : lStyleI=='Dashed'? line.style_dashed : line.style_dotted
lWidth      = input(1, 'Line Width', group=gr5, inline='1')
lColor      = input.color(color.black, '', group=gr5, inline='1')

phFound     = ta.pivothigh(srcH, period, period)
plFound     = ta.pivotlow (srcL, period, period)

phVal       = ta.valuewhen(phFound, srcH[period], 0)
plVal       = ta.valuewhen(plFound, srcL[period], 0)
phVal1      = ta.valuewhen(phFound, srcH[period], 1)
plVal1      = ta.valuewhen(plFound, srcL[period], 1)

a_bar_time  = time - time[1]
noneCol     = color.new(color.red, 100)

fGetPriceTl(slope_, x2_, y2_) =>
    current_price  = y2_ + (slope_/(x2_ - time))
    current_price

f_trendline(cond_, y1Val_, x1Bar_, y2Val_, x2Bar_, color_, tlPriceText, textCol) =>
    
    x1      = ta.valuewhen(cond_, time[x1Bar_], 0)
    x2      = ta.valuewhen(cond_, time[x2Bar_], 0)
    y1      = ta.valuewhen(cond_, y1Val_, 0)
    y2      = ta.valuewhen(cond_, y2Val_, 0)
    slope_  = ta.valuewhen(cond_, (y2-y1)/(x2-x1), 0)

    currentPrice    = truncate(y2 + (time-x2)*slope_)
    var label tlPrice     = na
    
    if close and newestTL
        a_trendline = line.new (x1, y1, time,  currentPrice, xloc.bar_time, color=lColor, style=lStyle, width=lWidth)
        line.delete (a_trendline[1])
        
        a_trendline
    
    newY2   = x2 + (y2_mult * a_bar_time * 25)
    
    if cond_ and not newestTL
        a_trendline = line.new(x1, y1, newY2,  currentPrice, xloc.bar_time, color=lColor, style=lStyle, width=lWidth)
        a_trendline
    if showPriceTl
        tlPrice     := label.new(bar_index+10, currentPrice, fTst(tlPriceText, currentPrice), color=noneCol, style=label.style_label_left, textcolor=textCol)
        label.delete(tlPrice[1])

    currentPrice

newUp   = phFound and phVal<phVal1 and showTL
newLo   = plFound and plVal>plVal1 and showTL
upperTl = f_trendline(newUp, phVal1, f_barssince(phFound,1)+period, phVal, f_barssince(phFound,0)+period,
             color.black, 'Upper -> ', resTextCol)
lowerTl = f_trendline(newLo, plVal1, f_barssince(plFound,1)+period, plVal, f_barssince(plFound,0)+period,
             color.black, 'Lower -> ', supTextCol)

highestSince    = ta.highest(srcH, barssince(phFound and phVal<phVal1 and showTL,0))
lowestSince     = ta.lowest (srcL, barssince(plFound and plVal>plVal1 and showTL,0))
breakUpper      = srcH[1]<upperTl[1] and srcH>upperTl
breakLower      = srcL[1]>lowerTl[1] and srcL<lowerTl

var label bu    = na
var label bl    = na

if breakUpper and barstate.isconfirmed
    bu  := label.new(bar_index, low , '🔼', color=resTextCol, style=label.style_label_up)
    if newestBreak
        label.delete(bu[1])
if breakLower and barstate.isconfirmed
    bl  := label.new(bar_index, high, '🔽', color=supTextCol)
    if newestBreak
        label.delete(bl[1])

alertcondition(breakUpper and barstate.isconfirmed, 'Upper Trendline Breaked')
alertcondition(breakLower and barstate.isconfirmed, 'Lower Trendline Breaked')

sCO = ta.crossover (close, s1) or ta.crossover (close, s2) or ta.crossover (close, s3)
sCU = ta.crossunder(close, s1) or ta.crossunder(close, s2) or ta.crossunder(close, s3)
rCO = ta.crossover (close, r1) or ta.crossover (close, r2) or ta.crossover (close, r3)
rCU = ta.crossunder(close, r1) or ta.crossunder(close, r2) or ta.crossunder(close, r3)

alertcondition(rCO, 'Close Price Crossover  The Resistance')
alertcondition(rCU, 'Close Price Crossunder The Resistance')
alertcondition(sCO, 'Close Price Crossover  The Support')
alertcondition(sCU, 'Close Price Crossunder The Support')

// ----------------------
// Dashboard
gr6         = 'Dashboard'
dash        = input(true, 'Dashboard', group=gr6)
dashTitle   = input('😎 Smarter Dashboard 😎', 'Title', group=gr6)
dashColor   = input.color(color.new(#512da8, 35) , 'Label', group=gr6, inline='3')
dashTextCol = input.color(color.white, 'Text', group=gr6, inline='3')
dashDist    = input(50, 'Dashboard Distance', group=gr6)

trendlineText   = showTL? '\n〰️〰️〰️〰️〰️〰️〰️〰️〰️'
                 + '\nTrendline Price'
                 + '\n🔸 Upper = ' + str.tostring(upperTl)
                 + '\n🔸 Lower = ' + str.tostring(lowerTl) : na
snrText         = showSnr? '\n〰️〰️〰️〰️〰️〰️〰️〰️〰️'
                 + '\nSupport and Resistance'
                 + '\nS1 = ' + str.tostring(s1) + ', R1 = ' + str.tostring(r1)
                 + '\nS2 = ' + str.tostring(s2) + ', R2 = ' + str.tostring(r2)
                 + '\nS3 = ' + str.tostring(s3) + ', R3 = ' + str.tostring(r3) : na


smarterDashText = dashTitle
                 + snrText
                 + trendlineText

if dash
    dashSmarter     = label.new(bar_index+dashDist, close, smarterDashText, style=label.style_label_center, color=dashColor, textcolor=dashTextCol)
    label.delete(dashSmarter[1])

// ------
// quotes
gr50        = 'QUOTES'
showTable   = input(true, 'Show Quotes Table', group=gr50)
quote       = input('🎓 Smarter Trade Give Better Pain & Gain 🎓', 'Drop Your Quotes Here', group=gr50)
tabPosI_    = input.string('Top', 'Table Position', ['Top', 'Middle', 'Bot'], group=gr50)
tabPos_     = tabPosI_=='Top'? position.top_right : tabPosI_=='Bot'? position.bottom_right : position.middle_right
tabColor    = input.color(color.new(#512da8, 35) , 'Background', group=gr50)
borderCol   = input.color(color.black , 'Border', group=gr50)
tabTextCol  = input.color(color.white, 'Text', group=gr50)

var saTable     = table.new(tabPos_, 1, 1, tabColor, borderCol, 1, borderCol, 1)
if showTable
    table.cell(saTable, 0, 0, quote, text_color=tabTextCol, text_size=size.small)

// ----------------
// Smart Table
// --------
gr10        = 'Table'
useTab      = input(true, 'Show Table?', group=gr10)

tf1         = input.timeframe('', 'Timeframe - A', group=gr10)
tf2         = input.timeframe('45', 'Timeframe - B', group=gr10)
tf3         = input.timeframe('D', 'Timeframe - C', group=gr10)

tabPosI     = input.string('Bot', 'Table Position', ['Top', 'Middle', 'Bot'], group=gr10)
bullCol     = input.color(color.new(color.green, 0) , 'Oversold'    , '', '1', gr10)
bearCol     = input.color(color.new(color.red, 0)   , 'Overbought'  , '', '1', gr10)
neutralCol  = input.color(color.new(#bbd9fb, 0)     , 'Not Over'    , '', '1', gr10)
textCol     = input.color(color.white, 'Text', inline='1', group=gr10)

textSizeI   = input.string('Small', 'Text Size', ['Small', 'Tiny', 'Normal'], group=gr10)
textSize    = textSizeI=='Small'? size.small : textSizeI=='Tiny'? size.tiny : size.normal

tabPos      = tabPosI=='Top'? position.top_right : tabPosI=='Bot'? position.bottom_right : position.middle_right
var smartTable  = table.new(tabPos, 50, 50, color.new(color.black,100), color.black, 1, color.black,1)

// ----
// RSI
gr11        = 'RSI'
rsiSource   = input(close, 'RSI -- Source', '1', gr11)
rsiPeriod   = input(14, 'Period', '', '1', gr11)
obRsi       = input(80, 'Overbought', '', '2', gr11)
osRsi       = input(20, 'Oversold  ', '', '2', gr11)

// Stoch
gr12        = 'Stochastic'
stochSource = input(close, 'Stochastic -- Source', '2', group=gr12)
stochPeriod = input(14, 'Period', '', '2', gr12)

periodK = input(14, 'Period -- K', '', '1', gr12)
periodD = input(3 , 'D', '', '1', gr12)
smoothK = input(1 , 'Smooth K', '', '0', gr12)
obStoch = input(80, 'Overbought', '', '2', gr12)
osStoch = input(20, 'Oversold  ', '', '2', gr12)

fCol(x)=> x=='Overbought'? bearCol : x=='Oversold'? bullCol : neutralCol

fTable(tf, rowNumber)=>
    k = request.security(syminfo.ticker, tf, ta.sma(ta.stoch(close, high, low, periodK), smoothK))
    d = ta.sma(k, periodD)
    
    r = request.security(syminfo.ticker, tf, ta.rsi(rsiSource, rsiPeriod))
    sStatus = k>obStoch? 'Overbought' : k<osStoch? 'Oversold' : 'Not Over'
    rStatus = r>obRsi  ? 'Overbought' : r<osRsi  ? 'Oversold' : 'Not Over'
    
    sCol    = fCol(sStatus)
    rCol    = fCol(rStatus)
    
    if useTab
        table.cell(smartTable, 0, 0, 'Timeframe'    , text_color=textCol, text_size=textSize, bgcolor=dashColor)
        table.cell(smartTable, 1, 0, 'Stochastic'   , text_color=textCol, text_size=textSize, bgcolor=dashColor)
        table.cell(smartTable, 2, 0, 'RSI'          , text_color=textCol, text_size=textSize, bgcolor=dashColor)
    
        tfDes   = tf==''? timeframe.period : tf
        table.cell(smartTable, 0, rowNumber, tfDes  , text_color=textCol, text_size=textSize, bgcolor=dashColor)
        table.cell(smartTable, 1, rowNumber, sStatus, text_color=textCol, text_size=textSize, bgcolor=sCol)
        table.cell(smartTable, 2, rowNumber, rStatus, text_color=textCol, text_size=textSize, bgcolor=rCol)
    
fTable(tf1, 1)
fTable(tf2, 2)
fTable(tf3, 3)
    
    
    
//

反馈

1
开发者 1
等级
(46)
项目
60
45%
仲裁
8
50% / 38%
逾期
7
12%
空闲
2
开发者 2
等级
(40)
项目
55
35%
仲裁
2
0% / 50%
逾期
0
空闲
3
开发者 3
等级
(250)
项目
460
26%
仲裁
140
20% / 59%
逾期
100
22%
工作中
4
开发者 4
等级
(45)
项目
46
24%
仲裁
34
9% / 85%
逾期
10
22%
空闲
5
开发者 5
等级
(574)
项目
945
47%
仲裁
309
58% / 27%
逾期
125
13%
空闲
相似订单
1441 30+ USD
444fwefwefw jlklklklklklklklklkeaNRFNEWM EWQJEWQIOREJEWQKLFDNMKLFD.MDW/LFDK.MEWFDLK;EMFWEKLMFWELKFREWNMFNDM,VSDV/S.DAFLMWEO;RWEJRPWOEJWE09PUJR9O EJ WKEWMK F FMKDSMKF SDEWJWJ [Q\ /QLDKNQNDQPIUHQD.Q,DMASDOAIFDA,M DFA AAS,KFDJNLOFD NOIFDJNFDAS NKNLOASJOFIKJD ASOIJFISFNKSNF SFSNOIWWQJ-0I[PKEM DAI-0IK-0DQMDQ NDACAI-0 I- EKQ;LDN0912KDMMOIKM Cdjoiasd f09wilf d qkdfokawsd-09fdkdadsomfasdlkkf-0 q[pkkd-0]q2kda\fld
Need a HFT scalping EA 30 - 100 USD
Require the development of a high-speed HFT, fully automated trading Expert Advisor (EA) for MetaTrader 5 , optimized for live trading on both Deriv and Exness . The EA must be designed for fast execution, low latency, and reliability on real-money accounts , with full compatibility across broker-specific contract specifications, tick sizes, tick values, pricing formats, and volume rules. It should automatically
Up down trader 40+ USD
Create an expert advisor for meta trader 5 which trades buy and sell alternatively. First trade buy, next trade sell. For example. If a trade of 0.01 lot is placed on a buy and the trade is won, then the next trade is 0.01 on a sell. If the sell trade is won, then the next trade is a buy at 0.01. If there is a loss, then the lot sizes increase by a specified value. eg. 0.025. If there is yet another loss, then the
I want to create an SMC bot base on ICT and Market structure,the bot must be able to keep adding on more positions while started.The bot must have a perfect risk management
So the things we need in algorithm of mql5 language EA in mt5 1. Depending on timeframe it can recognise the previous swing high and low 2. Timeframe is 5m,15m,1h,4h 3. It can recognise the basic Market bias that is market is bullish or bearish we can identify using (ema,rsi,basic smc bias,ict bias structure mapping) or use anything to find bias structure 4. EA should have option to change timeframe and change risk
require the development of a high-speed, fully automated trading Expert Advisor (EA) for MetaTrader 5 , optimized for live trading on both Deriv and Exness . The EA must be designed for fast execution, low latency, and reliability on real-money accounts , with full compatibility across broker-specific contract specifications, tick sizes, tick values, pricing formats, and volume rules. It should automatically detect
Pazuzu 30+ USD
generate or create me a python coded file that has mql5 language requirements for a trading bot under the following instructions. the bot must execute trades if necessary the bot must trade 24/7 the bot must trade gold and currency the bot must make unlimited profit hourly the bot must enter market with caution after market analysis of 98 percent of clear trade

项目信息

预算
30+ USD