MQL5 工作: I had converted below tradingview indicator using chatGPT AI, converted file shows error, want to Fix error in mq4 indicator

工作已完成

执行时间1 一天

客户反馈

Very good developer, always quick response, very much clear with concepts and above all very economical, will LOVE to work again

员工反馈

A solution-oriented person and expresses requirements clearly. I was pleased to do business together.

描述

指定

I had converted below tradingview indicator using chatGPT AI

But there are few errors in mq4,

I want coder must

1. Fix errors

2. Must match mq4 indicator results with tradingview indicator results

I am also attaching screenshot of tradingview indicator

//@version=5

indicator("Volumatic Variable Index Dynamic Average [BigBeluga]", "Volumatic VIDYA [BigBeluga]",

overlay = true, max_lines_count = 500, max_labels_count = 500)

// ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{

// Input parameters for length, momentum, and source data

int vidya_length = input.int(10, "VIDYA Length") // Length of the VIDYA calculation

int vidya_momentum = input.int(20, "VIDYA Momentum") // Momentum length for VIDYA

float band_distance = input.float(2, "Distance factor for upper/lower bands", step = 0.1) // Distance factor for upper/lower bands

// Define pivot parameters

int pivot_left_bars = 3 // Left side pivot bars

int pivot_right_bars = pivot_left_bars // Right side pivot bars

float source = input.source(close, "Source") // Source for VIDYA calculation

// Define colors for up and down trends

color up_trend_color = input(#17dfad, "+", group = "Color", inline = "c") // Color for uptrend

color down_trend_color = input(#dd326b, "-", group = "Color", inline = "c") // Color for downtrend

bool shadow = input.bool(true, "Shadow", group = "Color", inline = "c")

// Initialize variables for line, volume, and trend state

var line pivot_line = na // Variable for storing line references

var float volume_value = na // Variable for storing volume data

float smoothed_value = na // Smoothing variable for VIDYA trend levels

var bool is_trend_up = na // Boolean variable for tracking trend direction

// Initialize arrays for storing line and volume information

var array<line> liquidity_lines_low = array.new<line>(500) // Array for storing lines for lows

var array<line> liquidity_lines_high = array.new<line>(500) // Array for storing lines for highs

var float up_trend_volume = na // Volume accumulated during uptrend

var float down_trend_volume = na // Volume accumulated during downtrend

// }

// ＦＵＮＣＴＩＯＮＳ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{

// Define VIDYA (Variable Index Dynamic Average) function

vidya_calc(src, vidya_length, vidya_momentum) =>

float momentum = ta.change(src)

float sum_pos_momentum = math.sum((momentum >= 0) ? momentum : 0.0, vidya_momentum)

float sum_neg_momentum = math.sum((momentum >= 0) ? 0.0 : -momentum, vidya_momentum)

float abs_cmo = math.abs(100 * (sum_pos_momentum - sum_neg_momentum) / (sum_pos_momentum + sum_neg_momentum))

float alpha = 2 / (vidya_length + 1)

var float vidya_value = 0.0

vidya_value := alpha * abs_cmo / 100 * src + (1 - alpha * abs_cmo / 100) * nz(vidya_value[1])

ta.sma(vidya_value, 15)

// Method to extend lines and add labels for liquidity levels

method extend_liquidity_lines(array<line> line_array, float price_level, bool is_cross, volume_val)=>

if line_array.size() > 0 and last_bar_index - bar_index < 5000

for i = 0 to line_array.size()-1

if i < line_array.size()

line liquidity_line = line_array.get(i)

float current_line_level = line.get_y2(liquidity_line)

bool price_cross = is_cross

? price_level < current_line_level and price_level[1] >= current_line_level

: price_level > current_line_level and price_level[1] <= current_line_level

bool is_short_line = bar_index - line.get_x1(liquidity_line) < 50

if price_cross and is_short_line

line.set_x2(liquidity_line, bar_index)

line_array.remove(i)

// Add volume label to the liquidity zone

label.new(bar_index-1, price_level[1],

str.tostring(volume_val, format.volume),

color = color.rgb(0, 0, 0, 99),

style = is_cross ? label.style_label_lower_left : label.style_label_upper_left,

textcolor = chart.fg_color,

size = size.small)

// Add a circle label to represent liquidity zone

label.new(bar_index-1, price_level[1],

text = "◉",

color = #00000003,

textcolor = is_cross ? down_trend_color : up_trend_color,

style = label.style_label_center,

size = size.normal)

// }

// ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{

// Calculate the Average True Range (ATR)

float atr_value = ta.atr(200) // ATR calculation with length of 200

// Calculate the VIDYA (Variable Index Dynamic Average)

vidya_value = vidya_calc(source, vidya_length, vidya_momentum)

// Calculate upper and lower bands based on VIDYA and ATR

float upper_band = vidya_value + atr_value * band_distance

float lower_band = vidya_value - atr_value * band_distance

// Detect trend direction using crossovers of source with bands

if ta.crossover(source, upper_band)

is_trend_up := true

if ta.crossunder(source, lower_band)

is_trend_up := false

// Set trend-based smoothing variable

if is_trend_up

smoothed_value := lower_band

if not is_trend_up

smoothed_value := upper_band

if ta.change(is_trend_up)

smoothed_value := na

// Calculate pivot highs and lows for price action

float pivot_high = ta.pivothigh(pivot_left_bars, pivot_right_bars)

float pivot_low = ta.pivotlow(close, pivot_left_bars, pivot_right_bars)

// Create and store lines for pivot lows (support zones)

if low[pivot_right_bars] > smoothed_value and pivot_low

pivot_line := line.new(

bar_index[pivot_right_bars],

low[pivot_right_bars],

bar_index[pivot_right_bars]+5,

low[pivot_right_bars],

color = color.new(up_trend_color, 50)

)

liquidity_lines_low.push(pivot_line)

volume_value := math.sum(volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars)

// Create and store lines for pivot highs (resistance zones)

if high[pivot_right_bars] < smoothed_value and pivot_high

pivot_line := line.new(

bar_index[pivot_right_bars],

high[pivot_right_bars],

bar_index[pivot_right_bars]+5,

high[pivot_right_bars],

color = color.new(down_trend_color, 50)

)

liquidity_lines_high.push(pivot_line)

volume_value := math.sum(-volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars)

// Extend lines to track price movements

liquidity_lines_high.extend_liquidity_lines(smoothed_value, true, volume_value)

liquidity_lines_low.extend_liquidity_lines(smoothed_value, false, volume_value)

// Detect changes in the trend direction

bool trend_cross_up = not is_trend_up[1] and is_trend_up

bool trend_cross_down = not is_trend_up and is_trend_up[1]

// Reset volume counters when trend changes

if ta.change(trend_cross_up) or ta.change(trend_cross_down)

up_trend_volume := 0

down_trend_volume := 0

// Accumulate volume during trends

if not(ta.change(trend_cross_up) or ta.change(trend_cross_down))

up_trend_volume += (close > open ? volume : 0)

down_trend_volume += (close < open ? volume : 0)

// Calculate average volume

float avg_volume_delta = (up_trend_volume + down_trend_volume) / 2

// Determine the color of the trend

color trend_color = is_trend_up ? up_trend_color

: not is_trend_up ? down_trend_color

: chart.fg_color

// Calculate delta volume percentage

string delta_volume =

str.tostring(((up_trend_volume - down_trend_volume) / avg_volume_delta) * 100, format.percent) == "NaN%"

? "0%"

: str.tostring(((up_trend_volume - down_trend_volume) / avg_volume_delta) * 100, format.percent)

// }

// ＰＬＯＴ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{

// Display labels for volume and trend statistics on the last bar

if barstate.islast

label.delete(

label.new(bar_index, smoothed_value,

"Buy: " + str.tostring(up_trend_volume, format.volume)

+ "\n Sell: " + str.tostring(down_trend_volume, format.volume)

+ "\nDelta Volume: " + delta_volume,

color = color.new(trend_color, 90),

style = is_trend_up ? label.style_label_upper_left : label.style_label_lower_left,

textcolor = chart.fg_color

)[1])

label.delete(label.new(bar_index, smoothed_value,

text = "✪",

color = #00000003,

textcolor = trend_color,

style = label.style_label_center,

size = size.large)[1])

// Plot the VIDYA trend line

p1 = plot(smoothed_value, color = trend_color, linewidth = 2, style = plot.style_linebr)

p2 = plot(hl2, display = display.none)

// Fill between the plot and the VIDYA line

fill(p1, p2, smoothed_value, hl2, color.new(trend_color, shadow ? 80 : 100), na)

// Plot trend change markers (up and down arrows)

plotshape(

series = trend_cross_up[1] ? smoothed_value[0] : na,

title = "Trend Up",

style = shape.labelup,

location = location.absolute,

color = color.new(up_trend_color, 50),

text = "▲",

textcolor = chart.fg_color

)

plotshape(

series = trend_cross_down[1] ? smoothed_value[0] : na,

title = "Trend Down",

style = shape.labeldown,

location = location.absolute,

color = color.new(down_trend_color, 50),

text = "▼",

textcolor = chart.fg_color

)

// }

附加的文件：

JPG

vidya.jpg

93.9 Kb

MQ4

VIDYA.mq4

8.8 Kb

反馈

等级

(35)

项目

19%

仲裁

67% / 0%

逾期

17%

繁忙

等级

(1)

项目

仲裁

逾期

空闲

等级

(19)

项目

23%

仲裁

20% / 10%

逾期

23%

繁忙

等级

(5)

项目

20%

仲裁

25% / 25%

逾期

空闲

相似订单

I want an experienced developer who can work on my existing EA and add additional indicators to make it profitable in trading gold, forex, commodities, and other instruments. The trading robot will detect the market move and place a trade once it meets the requirements. I want a profitable trading robot, which I will test very well before the payment

Looking for an Experienced MQL5 Developer to code fully automated EA based on Trend Direction and Price Action. Symbols traded are Forex, Commodities, Indices, Crypto and Stock CFD’s. EA Strategy incorporates several strategies, including Breakout and Fibonacci Retracements for Trend Momentum Trading. Multi Time Frame Trading Based on 4 Time Charts, 15MIN, 1HR, 4HR, Daily Chart. EA needs Adaptability for

Dear Team, I want to migrate end to end configure with purchase advance BTC signal indicator with algo trading also back tested report 82% Quantum Bitcoin EA 5 Experts Bogdan Ion Puscasu Version: 2.1 Updated: 10 January 2025 Activations: 10 Quantum Bitcoin EA : There is no such thing as impossible, it's only a matter of figuring out how to do it! Step into the future of Bitcoin trading with Quantum

I need and indicator to plot specific candle sizes on a chart, And an EA to run off that indicator. It uses candle stick size. When candle breaks the size either HL or OC a signal is plotted on the chart. And trade is made. with following options. High and low or Open close Follow or opposite trade. Example, if it’s opposite, then when the candle size is met, a trade opposite of the bullish or bearish candle is

Hi I coded some years ago a grid hedge EA. The backtests were pretty mindblowing and I also generated nice profits but I also made a lot of losses. I need someone who has deep understanding in mathematics and statistics because it's not just only a grid logic behind it. I would like to figure out, what lead into those losses. I didn't find any solution yet and I have no idea where I should search the next. Please

The process will be very simple, consisting of a buy and sell signal with a success rate of 92% to 95%. This signal must be accurate and free of any repainting or other fraudulent elements, as it will be tested on a live chart on the short-term timeframe (M1), as shown in the image. Experts with extensive experience in this field, or those with previous experience working with secret societies, corporations, and

Requirements I want Log file code modified plus add a new log file function that is similar to existing one. This work is less than one hour and is to be done remotely no sending of EA file. Thank you

I need to develope personalised indicator ehich can work as per levels and publish its signal to telegram channel in real time, also need to develope algorithm which can copy same trades

Hello In my MT4 EA (attached), I want to create two variables: Highest_EQUITY and Lowest_EQUITY, to display the highest and lowest EQUITY values. The variables must be reset to zero on Sunday when the FOREX market opens. I then want to display them in the "COMMENT" area. Have a nice day

im looking for someone that can convert this file attached to cBot (ctrader c#). cTrader cBot (C#), let me know your bid and timeline, check file attached before apply to this job and make your bid

项目信息

预算

30+ USD

开发人员

27 USD

截止日期

从 2 到 5 天

符合规范		5.0
解决问题的效率		5.0
可用性和沟通技巧		5.0

规格质量		5.0
结果检查质量		5.0
可用性和沟通技巧		5.0