Spezifikation
Attached to this post is the pinescript tradingview indicator code, i will also attach a link to the youtube explanatory video of how the indicator works on tradingview, i will like the exact thing on mt5, including the percentage prediction on each bar and the win loss counter ... it should work on both forex, stock and volatility indices on mt5
https://youtu.be/30FLWyEWroM?si=q9GpvJVHp-oyvsvZ// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/ // © Zeiierman //@version=5 indicator("Breakout Probability (Expo)",overlay=true,max_bars_back=5000) // ~~ Tooltips { t1 = "The space between the levels can be adjusted with a percentage step. 1% means that each level is located 1% above/under the previous one." t2 = "Set the number of levels you want to display." t3 = "If a level got 0 % likelihood of being hit, the level is not displayed as default. Enable the option if you want to see all levels regardless of their values." t4 = "Enable this option if you want to display the backtest statistics for that a new high or low is made." string [] tbl_tips = array.from("Number of times price has reached the first highest percentage level", "Number of times price failed to reach the first highest percentage level", "Win/Loss ratio") //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Inputs { perc = input.float(1.0,title="Percentage Step",step=.1,minval=0,group="Settings",tooltip=t1) nbr = input.int(5, title="Number of Lines",maxval=5,minval=1,group="Settings",tooltip=t2) upCol = input.color(color.new(color.green,0),title="",inline="col"),dnCol=input.color(color.new(color.red,0),title="",inline="col"),fill=input.bool(true,title="BG Color",inline="col") var bool [] bools = array.from(input.bool(true,title="Disable 0.00%",group="Settings",tooltip=t3),input.bool(true, title="Show Statistic Panel",group="Settings",tooltip=t4)) var bool [] alert_bool = array.from( input.bool(true,title="Ticker ID",group="Any alert() function call"), input.bool(true,title="High/Low Price",group="Any alert() function call"), input.bool(true,title="Bullish/Bearish Bias",group="Any alert() function call"), input.bool(true,title="Bullish/Bearish Percentage",group="Any alert() function call")) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Variables { b = bar_index o = open h = high l = low c = close step = c*(perc/100) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Save Values In Matrix { var total = matrix.new<int>(7,4,0) var vals = matrix.new<float>(5,4,0.0) var lines = matrix.new<line>(1,10,line(na)) var labels = matrix.new<label>(1,10,label(na)) var tbl = matrix.new<table>(1,1,table.new(position.top_right,2,3, frame_color=color.new(color.gray,50),frame_width=3, border_color=chart.bg_color,border_width=-2)) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Save Number Of Green & Red Candles { green = c[1]>o[1] red = c[1]<o[1] if green prev = matrix.get(total,5,0) matrix.set(total,5,0,prev+1) if red prev = matrix.get(total,5,1) matrix.set(total,5,1,prev+1) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Functions { //Lines CreateLine(p,i,c)=> prevLine = matrix.get(lines,0,i) line.delete(prevLine) li = line.new(b[1],p,b,p,color=c,width=2) matrix.set(lines,0,i,li) //Labels CreateLabel(p,i,c,r,v)=> prevLabel = matrix.get(labels,0,i) label.delete(prevLabel) la = label.new(b+1,p,text=str.tostring(matrix.get(vals,r,v),format.percent), style=label.style_label_left,color=color.new(color.black,100),textcolor=c) matrix.set(labels,0,i,la) //Score Calculation Score(x,i)=> ghh = matrix.get(total,i,0) gll = matrix.get(total,i,1) rhh = matrix.get(total,i,2) rll = matrix.get(total,i,3) gtotal = matrix.get(total,5,0) rtotal = matrix.get(total,5,1) hh = h>=h[1] + x ll = l<=l[1] - x if green and hh matrix.set(total,i,0,ghh+1) matrix.set(vals,i,0,math.round(((ghh+1)/gtotal)*100,2)) if green and ll matrix.set(total,i,1,gll+1) matrix.set(vals,i,1,math.round(((gll+1)/gtotal)*100,2)) if red and hh matrix.set(total,i,2,rhh+1) matrix.set(vals,i,2,math.round(((rhh+1)/rtotal)*100,2)) if red and ll matrix.set(total,i,3,rll+1) matrix.set(vals,i,3,math.round(((rll+1)/rtotal)*100,2)) //Backtest Backtest(v)=> p1 = matrix.get(total,6,0) p2 = matrix.get(total,6,1) if v==h[1] if h>=v matrix.set(total,6,0,p1+1) else matrix.set(total,6,1,p2+1) else if l<=v matrix.set(total,6,0,p1+1) else matrix.set(total,6,1,p2+1) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Code { //Run Score Function Score(0,0) Score(step,1) Score(step*2,2) Score(step*3,3) Score(step*4,4) //Fetch Score Values a1 = matrix.get(vals,0,0) b1 = matrix.get(vals,0,1) a2 = matrix.get(vals,0,2) b2 = matrix.get(vals,0,3) //Lines & Labels & Alerts for i=0 to nbr-1 hide = array.get(bools,0) if not hide or (hide and (green?math.min(matrix.get(vals,i,0), matrix.get(vals,i,1))>0: math.min(matrix.get(vals,i,2), matrix.get(vals,i,3))>0)) hi = h[1]+(step*i) lo = l[1]-(step*i) //Plot Lines CreateLine(hi,i,upCol) CreateLine(lo,5+i,dnCol) //Plot Labels if green CreateLabel(hi,i,upCol,i,0) CreateLabel(lo,5+i,dnCol,i,1) else CreateLabel(hi,i,upCol,i,2) CreateLabel(lo,5+i,dnCol,i,3) //Create Alert if array.includes(alert_bool, true) s1 = str.tostring(syminfo.ticker) s2 = "High Price: "+str.tostring(math.round_to_mintick(h[1]))+ " | Low Price: "+str.tostring(math.round_to_mintick(l[1])) s3 = green?(math.max(a1,b1)==a1?"BULLISH":"BEARISH"): (math.max(a2,b2)==a2?"BULLISH":"BEARISH") s4 = green?(math.max(a1,b1)==a1?a1:b1):(math.min(a2,b2)==a2?a2:b2) s5 = red ?(math.max(a2,b2)==a2?a2:b2):(math.min(a1,b1)==a1?a1:b1) string [] str_vals = array.from(s1,s2,"BIAS: "+s3, "Percentage: High: "+str.tostring(s4,format.percent) +" | Low: "+str.tostring(s5,format.percent)) output = array.new_string() for x=0 to array.size(alert_bool)-1 if array.get(alert_bool,x) array.push(output,array.get(str_vals,x)) //Alert Is Triggered On Every Bar Open With Bias And Percentage Ratio alert(array.join(output,'\n'),alert.freq_once_per_bar) else //Delete Old Lines & Labels line.delete(matrix.get(lines,0,i)) line.delete(matrix.get(lines,0,5+i)) label.delete(matrix.get(labels,0,i)) label.delete(matrix.get(labels,0,5+i)) //Run Backtest Function Backtest(green?(math.max(a1,b1)==a1?h[1]:l[1]):(math.max(a2,b2)==a2?h[1]:l[1])) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Linefill { if fill var filler = linefill(na) for i=0 to 8 get = matrix.get(lines,0,i) get1= matrix.get(lines,0,i+1) col = i>4?color.new(dnCol,80) : i==4?color.new(color.gray,100) : color.new(upCol,80) filler := linefill.new(get,get1,color=col) linefill.delete(filler[1]) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Table { if barstate.islast and array.get(bools,1) //Calulate WinRatio W = matrix.get(total,6,0) L = matrix.get(total,6,1) WR = math.round(W/(W+L)*100,2) string [] tbl_vals = array.from("WIN: "+str.tostring(W), "LOSS: "+str.tostring(L), "Profitability: "+str.tostring(WR,format.percent)) color [] tbl_col = array.from(color.green,color.red,chart.fg_color) for i=0 to 2 table.cell(matrix.get(tbl,0,0),0,i,array.get(tbl_vals,i), text_halign=text.align_center,bgcolor=chart.bg_color, text_color=array.get(tbl_col,i),text_size=size.auto, tooltip=array.get(tbl_tips,i)) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
Bewerbungen
1
Bewertung
Projekte
19
16%
Schlichtung
3
67%
/
0%
Frist nicht eingehalten
0
Frei
2
Bewertung
Projekte
373
72%
Schlichtung
19
32%
/
47%
Frist nicht eingehalten
14
4%
Frei
Veröffentlicht: 14 Beispiele
3
Bewertung
Projekte
6
33%
Schlichtung
6
0%
/
67%
Frist nicht eingehalten
1
17%
Arbeitet
4
Bewertung
Projekte
475
40%
Schlichtung
105
40%
/
24%
Frist nicht eingehalten
80
17%
Überlastet
Veröffentlicht: 2 Beispiele
5
Bewertung
Projekte
499
67%
Schlichtung
5
40%
/
0%
Frist nicht eingehalten
4
1%
Frei
Veröffentlicht: 8 Beispiele
6
Bewertung
Projekte
91
25%
Schlichtung
26
19%
/
54%
Frist nicht eingehalten
25
27%
Frei
7
Bewertung
Projekte
195
42%
Schlichtung
13
8%
/
54%
Frist nicht eingehalten
9
5%
Frei
Veröffentlicht: 3 Beispiele
Ähnliche Aufträge
Title: Design and Development of an Automated Forex Trading Robot Using MQL5 and Machine Learning Techniques Abstract: This project focuses on the design and development of an automated Forex trading robot that integrates MQL5 programming and machine learning techniques. The system aims to predict market movements and execute trades automatically, minimizing human error and emotional trading. By leveraging historical
Phahla fx boto
30+ USD
99.99% signal accuracy 10-15 trades distribution all currency trade and meta AI assistance on loss[advice] stop and start robot cyber security firewall protection activation code: 20060605TLP20 Please create a trading bot with any logo with the name elevation
What information would you need for Ninjatrader automated trading and approximately how long would it take ? Bill if anyone can give response here I will be glad to discuss
Data Integrity
500 - 1000 USD
The trading bot is an automated software system designed to monitor financial markets, execute trades, and manage risk based on predefined strategies. The bot aims to maximize profits while minimizing human intervention and emotional decision-making. Scope: Supports automated trading on selected exchanges (e.g., Binance, Bitget, Coinbase). Executes trades based on technical indicators, signals, or AI models. Provides
Projektdetails
Budget
30+ USD
Ausführungsfristen
bis 2 Tag(e)