Convert Pine & Create cBot

Created at 01 Jun 2023
RI

Jak

Joined 16.04.2023

Status

Open


Budget

200.00 GBP


Payment Method

via  Freelancer

Job Description

Convert a TradingView indicator in pine script and then create a trading cBot based on the indicator. Parameter options for trailing stop, take profit, lot size, trading time (hours).

Source code;

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

// © loxx

 

//@version=5

indicator("STD-Filtered, N-Pole Gaussian Filter [Loxx]",

     shorttitle="STDFNPGF [Loxx]",

     overlay = true)

     

import loxx/loxxexpandedsourcetypes/4

 

greencolor = #2DD204  

redcolor = #D2042D

 

//factorial calc

fact(int n)=>

    float a = 1

    for i = 1 to n

        a *= i

    a

 

//alpha calc

_alpha(int period, int poles)=>

    w = 2.0 * math.pi / period

    float b = (1.0 - math.cos(w)) / (math.pow(1.414, 2.0 / poles) - 1.0)

    float a = - b + math.sqrt(b * b + 2.0 * b)

    a

   

//n-pole calc

_makeCoeffs(simple int period, simple int order)=>

    coeffs = matrix.new<float>(order + 1, 3, 0.)

    float a = _alpha(period, order)

    for r = 0 to order

        out = nz(fact(order) / (fact(order - r) * fact(r)), 1)

        matrix.set(coeffs, r, 0, out)

        matrix.set(coeffs, r, 1, math.pow(a, r))

        matrix.set(coeffs, r, 2, math.pow(1.0 - a, r))

    coeffs

   

//n-pole calc

_npolegf(float src, simple int period, simple int order)=>

    var coeffs = _makeCoeffs(period, order)

    float filt = src * matrix.get(coeffs, order, 1)

    int sign = 1

    for r = 1 to order

        filt += sign * matrix.get(coeffs, r, 0) * matrix.get(coeffs, r, 2) * nz(filt[r])

        sign *= -1

    filt

 

//std filter

_filt(float src, int len, float filter)=>

    float price = src

    float filtdev = filter * ta.stdev(src, len)

    price := math.abs(price - nz(price[1])) < filtdev ? nz(price[1]) : price

    price

   

smthtype = input.string("Kaufman", "Heiken-Ashi Better Smoothing", options = ["AMA", "T3", "Kaufman"], group=  "Source Settings")

srcoption = input.string("Close", "Source", group= "Source Settings",

     options =

     ["Close", "Open", "High", "Low", "Median", "Typical", "Weighted", "Average", "Average Median Body", "Trend Biased", "Trend Biased (Extreme)",

     "HA Close", "HA Open", "HA High", "HA Low", "HA Median", "HA Typical", "HA Weighted", "HA Average", "HA Average Median Body", "HA Trend Biased", "HA Trend Biased (Extreme)",

     "HAB Close", "HAB Open", "HAB High", "HAB Low", "HAB Median", "HAB Typical", "HAB Weighted", "HAB Average", "HAB Average Median Body", "HAB Trend Biased", "HAB Trend Biased (Extreme)"])

 

period = input.int(25,'Period', group = "Basic Settings")

order = input.int(5,'Order', group = "Basic Settings", minval = 1)

 

filterop = input.string("Gaussian Filter", "Filter Options", options = ["Price", "Gaussian Filter", "Both", "None"], group=  "Filter Settings")

filter = input.float(1, "Filter Devaitions", minval = 0, group= "Filter Settings")

filterperiod = input.int(10, "Filter Period", minval = 0, group= "Filter Settings")

 

colorbars = input.bool(true, "Color bars?", group = "UI Options")

showSigs = input.bool(true, "Show signals?", group= "UI Options")

 

kfl=input.float(0.666, title="* Kaufman's Adaptive MA (KAMA) Only - Fast End", group = "Moving Average Inputs")

ksl=input.float(0.0645, title="* Kaufman's Adaptive MA (KAMA) Only - Slow End", group = "Moving Average Inputs")

amafl = input.int(2, title="* Adaptive Moving Average (AMA) Only - Fast", group = "Moving Average Inputs")

amasl = input.int(30, title="* Adaptive Moving Average (AMA) Only - Slow", group = "Moving Average Inputs")

 

[haclose, haopen, hahigh, halow, hamedian, hatypical, haweighted, haaverage] = request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, [close, open, high, low, hl2, hlc3, hlcc4, ohlc4])

 

float src = switch srcoption

    "Close" => loxxexpandedsourcetypes.rclose()

    "Open" => loxxexpandedsourcetypes.ropen()

    "High" => loxxexpandedsourcetypes.rhigh()

    "Low" => loxxexpandedsourcetypes.rlow()

    "Median" => loxxexpandedsourcetypes.rmedian()

    "Typical" => loxxexpandedsourcetypes.rtypical()

    "Weighted" => loxxexpandedsourcetypes.rweighted()

    "Average" => loxxexpandedsourcetypes.raverage()

    "Average Median Body" => loxxexpandedsourcetypes.ravemedbody()

    "Trend Biased" => loxxexpandedsourcetypes.rtrendb()

    "Trend Biased (Extreme)" => loxxexpandedsourcetypes.rtrendbext()

    "HA Close" => loxxexpandedsourcetypes.haclose(haclose)

    "HA Open" => loxxexpandedsourcetypes.haopen(haopen)

    "HA High" => loxxexpandedsourcetypes.hahigh(hahigh)

    "HA Low" => loxxexpandedsourcetypes.halow(halow)

    "HA Median" => loxxexpandedsourcetypes.hamedian(hamedian)

    "HA Typical" => loxxexpandedsourcetypes.hatypical(hatypical)

    "HA Weighted" => loxxexpandedsourcetypes.haweighted(haweighted)

    "HA Average" => loxxexpandedsourcetypes.haaverage(haaverage)

    "HA Average Median Body" => loxxexpandedsourcetypes.haavemedbody(haclose, haopen)

    "HA Trend Biased" => loxxexpandedsourcetypes.hatrendb(haclose, haopen, hahigh, halow)

    "HA Trend Biased (Extreme)" => loxxexpandedsourcetypes.hatrendbext(haclose, haopen, hahigh, halow)

    "HAB Close" => loxxexpandedsourcetypes.habclose(smthtype, amafl, amasl, kfl, ksl)

    "HAB Open" => loxxexpandedsourcetypes.habopen(smthtype, amafl, amasl, kfl, ksl)

    "HAB High" => loxxexpandedsourcetypes.habhigh(smthtype, amafl, amasl, kfl, ksl)

    "HAB Low" => loxxexpandedsourcetypes.hablow(smthtype, amafl, amasl, kfl, ksl)

    "HAB Median" => loxxexpandedsourcetypes.habmedian(smthtype, amafl, amasl, kfl, ksl)

    "HAB Typical" => loxxexpandedsourcetypes.habtypical(smthtype, amafl, amasl, kfl, ksl)

    "HAB Weighted" => loxxexpandedsourcetypes.habweighted(smthtype, amafl, amasl, kfl, ksl)

    "HAB Average" => loxxexpandedsourcetypes.habaverage(smthtype, amafl, amasl, kfl, ksl)

    "HAB Average Median Body" => loxxexpandedsourcetypes.habavemedbody(smthtype, amafl, amasl, kfl, ksl)

    "HAB Trend Biased" => loxxexpandedsourcetypes.habtrendb(smthtype, amafl, amasl, kfl, ksl)

    "HAB Trend Biased (Extreme)" => loxxexpandedsourcetypes.habtrendbext(smthtype, amafl, amasl, kfl, ksl)

    => haclose

 

src := filterop == "Both" or filterop == "Price" and filter > 0 ? _filt(src, filterperiod, filter) : src

 

out = _npolegf(src, period, order)

 

out := filterop == "Both" or filterop == "Gaussian Filter" and filter > 0 ? _filt(out, filterperiod, filter) : out

 

sig = nz(out[1])

 

state = 0

if (out > sig)

    state := 1

if (out < sig)

    state := -1

 

pregoLong = out > sig and (nz(out[1]) < nz(sig[1]) or nz(out[1]) == nz(sig[1]))

pregoShort = out < sig and (nz(out[1]) > nz(sig[1]) or nz(out[1]) == nz(sig[1]))

 

contsw = 0

contsw := nz(contsw[1])

contsw := pregoLong ? 1 : pregoShort ? -1 : nz(contsw[1])

 

goLong = pregoLong and nz(contsw[1]) == -1

goShort = pregoShort and nz(contsw[1]) == 1

 

var color colorout = na

colorout := state == -1 ? redcolor : state == 1 ? greencolor : nz(colorout[1])

 

plot(out, "N-Pole GF", color = colorout, linewidth = 3)

barcolor(colorbars ? colorout : na)

 

plotshape(showSigs and goLong, title = "Long", color = color.black, textcolor = color.black, text = "L", style = shape.triangleup, location = location.belowbar, size = size.tiny)

plotshape(showSigs and goShort, title = "Short", color = color.black, textcolor = color.black, text = "S", style = shape.triangledown, location = location.abovebar, size = size.tiny)

 

alertcondition(goLong, title = "Long", message = "STD-Filtered, N-Pole Gaussian Filter [Loxx]: Long\nSymbol: {{ticker}}\nPrice: {{close}}")

alertcondition(goShort, title = "Short", message = "STD-Filtered, N-Pole Gaussian Filter [Loxx]: Short\nSymbol: {{ticker}}\nPrice: {{close}}")

 

Comments
Only logged in users can post a comment
ST
stf120601 · 2 months ago

@stefanutzro

ST
stf120601 · 2 months ago

DM me on Telegram: @stafnutzro

JO
jora · 2 months ago

+++ CLIENT-SATISFACTION OR MONEY-BACK +++

Dear sir or madam,
I have been developing Tradingview and CTrader projects successfully  since 7 years ago.
I have worked on similar projects to what you are looking for, and I am confident I can exceed your expectations.
I do not only develop strategy and indicators but trade for me too. I have a long experience with stock trading. 
I will respect and implement your needs from day one, so that you will be satisfied with the delivered work.

My Skype id: live:.cid.83f4007bae641c20

PA
paul.krumme14163 · 2 months ago

⭐⭐⭐ Trading software developer ⭐⭐⭐
Dear sir. I am a trading software developer with over 10 years of experience.
My skills are MetaTrader (4/5), TradingView and cTrader.
I have developed 500+ powerful indicators and profitable strategies(EAs) until now.
I have read your project description carefully.
I have experience doing something similar to your project.
I want to discuss your project in detail through chatting.
I always put customer satisfaction and respect at the top of my work.
I can satisfy your requirements with fast speed and the best quality.
Thank you.

My Skype: live:.cid.71e9e3a8411bc5cd

YousefArdalan's avatar
Yousef Ardalan · 3 months ago

Hi, I can do that for you.

with several years of experience in programming and forex analysis and trading.

Email: joseph.tradingbot@gmail.com

Telegram: @iamjosepe