could you pleases covert this code from “Volumatic Variable Index Dynamic Aver

Patrick K Templar · Sat, 09 Nov 2024 23:16:33 +0000

//@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).

This topic has 17 replies, 5 voices, and was last updated 2 weeks ago by roccafragius.

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11/13/2024 at 11:56 PM #240330

Patrick K Templar

I’ve always loved the Spanish and they’re culture thank you ever so much i’ve spent days not understanding how to do this i’ve got more questions I want to ask you on another topic so that I know how to do it myself thannk you

Patrick K Templar
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11/14/2024 at 8:22 AM #240341

adeelq79

Amazing Ivan. Works very well. Thanks

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Patrick K Templar

adeelq79
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12/29/2024 at 6:02 PM #241903

roccafragius

Thank you so much Ivan!!!

roccafragius
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could you pleases covert this code from “Volumatic Variable Index Dynamic Aver

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