I will code your EAs and Indicators for no charge

Hi guys!. I don't know anything about coding but I am trying to make a indicator. If anyone can help me then it will be great. I want to add some things to that "Market structure (fractal) by lux algo" indicator. But first i need code of that indicator and then add fibonacci settings to that.
Can anyone help?

https://forex-station.com/post129555...ml#p1295551969

Which indicator is this in screenshot below

pls help can someone change the fvg that color the gap to the three candle itself and thanks

hello guys i have indicator that rely on time
but my broker server time is start 1 hour ahead of regular broker
so my chart on H1 above is different and affect the indicator
how to adjust this ?

my server time start at 00:00, but other broker start at 23:00 my broker time
i tried to use chatgpt but its too much line so i keep get limit data analysis

here i attach the indicator

thankyou

thankyou

Hi anyone has the atc algo zone indicator, pls share

Hi, there!
Could you convert TradingView indicator to MT5 indicator?


Code information:

https://kr.tradingview.com/v/0Y0byibh/

Code:

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// FractalTrade15, original Nadaraya_Watson Kernel code and library by jdehorty
// @version=5
indicator(title="Nadaraya-Watson Oscillator", shorttitle = "NWO" , overlay=false, timeframe='')
// Libraries
import jdehorty/KernelFunctions/2 as kernels
//Functions
darkenColor(color, factor) =>
r = color.r(color)
g = color.g(color)
b = color.b(color)
rd = int(r * factor)
gd = int(g * factor)
bd = int(b * factor)
color.rgb(rd, gd, bd)
getBounds(_atr, _nearFactor, _farFactor, _yhat) =>
_upper_far = _yhat + _farFactor*_atr
_upper_near = _yhat + _nearFactor*_atr
_lower_near = _yhat - _nearFactor*_atr
_lower_far = _yhat - _farFactor*_atr
_upper_avg = (_upper_far + _upper_near) / 2
_lower_avg = (_lower_far + _lower_near) / 2
[_upper_near, _upper_far, _upper_avg, _lower_near, _lower_far, _lower_avg]
kernel_atr(length, _high, _low, _close) =>
trueRange = na(_high[1])? _high-_low : math.max(math.max(_high - _low, math.abs(_high - _close[1])), math.abs(_low - _close[1]))
ta.rma(trueRange, length)
f_c_gradientAdvDecPro(_source, _center, _steps, _c_bearWeak, _c_bearStrong, _c_bullWeak, _c_bullStrong) =>
var float _qtyAdvDec = 0.
var float _maxSteps = math.max(1, _steps)
bool _xUp = ta.crossover(_source, _center)
bool _xDn = ta.crossunder(_source, _center)
float _chg = ta.change(_source)
bool _up = _chg > 0
bool _dn = _chg < 0
bool _srcBull = _source > _center
bool _srcBear = _source < _center
_qtyAdvDec := _srcBull ? _xUp ? 1 : _up ? math.min(_maxSteps, _qtyAdvDec + 1) : _dn ? math.max(1, _qtyAdvDec - 1) : _qtyAdvDec : _srcBear ? _xDn ? 1 : _dn ? math.min(_maxSteps, _qtyAdvDec + 1) : _up ? math.max(1, _qtyAdvDec - 1) : _qtyAdvDec : _qtyAdvDec
var color _return = na
_return := _srcBull ? color.from_gradient(_qtyAdvDec, 1, _maxSteps, _c_bullWeak, _c_bullStrong) : _srcBear ? color.from_gradient(_qtyAdvDec, 1, _maxSteps, _c_bearWeak, _c_bearStrong) : _return
_return
// Kernel Settings
h = input.int(8, 'Lookback Window', tooltip='The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars. Recommended range: 3-50', group='Kernel Settings')
alpha = input.float(8., 'Relative Weighting', step=0.25, tooltip='Relative weighting of time frames. As this value approaches zero, the longer time frames will exert more influence on the estimation. As this value approaches infinity, the behavior of the Rational Quadratic Kernel will become identical to the Gaussian kernel. Recommended range: 0.25-25', group='Kernel Settings')
x_0 = input.int(25, "Start Regression at Bar", tooltip='Bar index on which to start regression. The first bars of a chart are often highly volatile, and omission of these initial bars often leads to a better overall fit. Recommended range: 5-25', group='Kernel Settings')
atr_length = input.int(21, 'ATR Length', minval=1, tooltip='The number of bars associated with the Average True Range (ATR).', group = "Zones")
nearFactor = input.float(2.25, 'Near ATR Factor', minval=0.5, step=0.25, tooltip='The factor by which to multiply the ATR to calculate the near bound of the envelope. Recommended range: 0.5-2.0', group = "Zones")
farFactor = input.float(3, 'Far ATR Factor', minval=1.0, step=0.25, tooltip='The factor by which to multiply the ATR to calculate the far bound of the envelope. Recommended range: 6.0-8.0', group = "Zones")
mid_width = input.float(0.5, title = "Middle Band Width",minval=0.1, step=0.1, tooltip='The size of the centerline band', group = "Zones")
hull_on = input.bool(true, title = "", group = "Hull NW MA", inline = "Hull")
hull_length = input.int(55, minval=1, title = "Hull Smoothing Length", group = "Hull NW MA", inline = "Hull", tooltip = "Adds a Hull Moving Average to the Nadaraya Oscillator")

//Calculations
yhat_close = kernels.rationalQuadratic(close, h, alpha, x_0)
yhat_high = kernels.rationalQuadratic(high, h, alpha, x_0)
yhat_low = kernels.rationalQuadratic(low, h, alpha, x_0)
yhat = yhat_close
ktr = kernel_atr(atr_length, yhat_high, yhat_low, yhat_close)
[upper_near, upper_far, upper_avg, lower_near, lower_far, lower_avg] = getBounds(ktr, nearFactor, farFactor, yhat_close)
avg_factor = math.avg(nearFactor,farFactor)
z_nad = (close - yhat_close) / ktr // Calculates the oscillator from the Kernel
hullma = ta.hma(z_nad, hull_length)

// Colors
bullc = input(color.green, title = "Bull Color", group = "Colors")
bearc = input(color.red, title = "Bear Color", group = "Colors")
neutc = input(color.gray, title = "Neutral Color", group = "Colors")
grad = z_nad > 0? color.from_gradient(z_nad, 0,nearFactor,neutc,bullc) : color.from_gradient(z_nad, -nearFactor,0,bearc,neutc)
color black = color.rgb(0,0,0)
grad2 = f_c_gradientAdvDecPro(yhat_close, ta.ema(yhat_close,2), 5, darkenColor(bearc, 0.5), bearc, darkenColor(bullc, 0.5), bullc)

// Plots
p_upper_far = plot(farFactor, color=color.new(bearc,90), title='Upper Boundary: Far')
p_upper_near = plot(nearFactor, color=color.new(bearc,90), title='Upper Boundary: Near')
p_yhath = plot(mid_width, color=color.new(bullc,97), linewidth=1, title='Nadaraya-Watson Estimation')
p_yhat = plot(0, color=color.new(grad2,50), linewidth=1, title='Nadaraya-Watson Estimation')
p_yhatl = plot(-mid_width, color=color.new(bearc,97), linewidth=1, title='Nadaraya-Watson Estimation')
p_lower_near = plot(-nearFactor, color=color.new(bullc,90), title='Lower Boundary: Near')
p_lower_far = plot(-farFactor, color=color.new(bullc,90), title='Lower Boundary: Far')
fill(p_yhath,p_yhat,mid_width,0,color.new(bullc,85), color.new(#000000, 90))
fill(p_yhatl,p_yhat,0,-mid_width,color.new(#000000,90), color.new(bearc,85))
fill(p_upper_far, p_upper_near, farFactor,nearFactor, color.new(color.black,93),color.new(bearc,80), title='Upper Boundary: Farmost Region')
fill(p_lower_far, p_lower_near, -nearFactor, -farFactor, color.new(bullc,80),color.new(color.black,93), title='Lower Boundary: Farmost Region')
plot(z_nad, "Z Shadow", color = color.new(neutc,90), linewidth = 8)
p_zn = plot(z_nad, color=grad, title='Nadaraya-Watson Estimator')
fill(p_yhat,p_zn, z_nad >= 0? farFactor+1 : na, z_nad >= 0? 0 : na, z_nad >= 0? color.new(bullc,34) : na, z_nad >= 0? black : na)
fill(p_yhat,p_zn, z_nad <= 0? 0: na, z_nad <= 0 ?-farFactor-1 : na,z_nad <= 0? black : na, z_nad <= 0? color.new(bearc,34) : na)
p_hull = plot(hull_on? hullma : na, color = hullma > hullma[2]? color.new(bullc,34) : color.new(bearc,34))
bgcolor(z_nad > farFactor? color.new(bearc,90) : z_nad < -farFactor? color.new(bullc,90) : na)

Hello;
I use your Ma indicator, it's very good, (congratulations). I wanted to ask you if you recommend any specific parameter or any suggestion in this regard.

Thanks

This indicator used to show arrows at the same time, but now it doesn't show arrows. When I refresh or turn off and on the indicator, arrows show and at the same time the next candle appears.But now there is a problem that this arrow does not show simultaneously, it shows when refreshed, otherwise the arrow does not show nor does it give an alert. Please someone fix it.

I'm tired of people who can't read!!!

Provide the source code, or use the AutoRefresh indicator:

Is there an mt4 indicator that calculates profit and loss from the signal generated from another Mt4 indicator? Like, if I want to see the profit/loss from the arrow signals generated from the indicator attached below.

Hello coder, how are you? I put this indicator on the screen but nothing appears. I already have the ssa dll but still nothing. Could you take a look and see what it might be like, please? kisses

This indicator doesn't use any .dll.
It uses iCustom() for which #_FullSSA_normalize.ex4 is needed.
And I was able to find this:

But it's still not working.
Even if we install the SSA.ex4 in Indicators, it still isn't working properly.
Also, I was able to find only one site with the zip file.
Oh, sorry, it is working, after all!
All the 3 files must be in Indicators.

I found the file but it still didn't work. Thanks anyway

Put the SSA.ex4 in Libraries and in Indicators, just in case.
I can't say when I don't have the source code.
Anyways, I did that, refreshed, and it is working.

BTW, I hope you didn't install the .zip file as is??? LOL

But of course I extracted it LOL. But now it worked by putting it in the library too. Thank you very, very much, now it's on the screen, I'll test it :*

kind of an odd problem, maybe you can help. I continue to receive a "OnCalculate function not found in custom indicator" error when trying to compile with meta editor. In my code i already have the Indicator Calculation starting with "int OnCalculate(const int rates_total, const int prev_calculated, const double &close[]) {". what could be the problem?

https://docs.mql4.com/basis/function/events
https://www.mql5.com/en/docs/event_handlers/oncalculate

The answer to your question is most likely that the problem is You.
When the compiler returns an error, You need to fix this error.
The compiler is right, You are not.

This means that when the compiler tells you:
"OnCalculate function not found in custom indicator"
you must provide the proper OnCalculate function - not insist that you:
"already have the Indicator Calculation starting with "int OnCalculate(const int rates_total, const int prev_calculated, const double &close[]) {"
Obviously, what you already have is not what the compiler recognises as the proper OnCalculate function.

hello can you help me to add a alarm to my indicator?