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

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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

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