Hello, is it possible to convert this indicator? thank you very much in advance for your help.

// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International 

// https://creativecommons.org/licenses/by-nc-sa/4.0/

// © BigBeluga

//@version=6

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 = false // 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 by 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

  is_trend_up

if ta.crossunder(source, lower_band)

  is_trend_up := false

  is_trend_up

// Set trend-based smoothing variable

if is_trend_up

  smoothed_value := lower_band

  smoothed_value

if not is_trend_up

  smoothed_value := upper_band

  smoothed_value

if ta.change(is_trend_up)

  smoothed_value := na

  smoothed_value

// Calculate pivot highs and lows for price action

bool pivot_high = not na(ta.pivothigh(pivot_left_bars, pivot_right_bars))

bool pivot_low = not na(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)

  volume_value

// 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)

  volume_value

// 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

  down_trend_volume

// Accumulate volume during trends

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

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

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

  down_trend_volume

// 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)

// }