//@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 + 10, 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 = label.style_label_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 ) // }

// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International  
// https://creativecommons.org/licenses/by-nc-sa/4.0/
// © BigBeluga

//@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 + 10, 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      = label.style_label_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
         )
// }

i know there one  but not like this

 CUSTOMIZATION

• VIDYA Length & Momentum: Control the sensitivity of the VIDYA line by adjusting the length and momentum settings, allowing traders to customize the smoothing effect to match their trading style.
• Volume Pivot Detection: Set the number of bars to consider for identifying pivots, which influences the calculation of the average volume at key levels.
• Band Distance: Adjust the band distance multiplier for controlling how far the upper and lower bands extend from the VIDYA line, based on the ATR (Average True Range).

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