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

• 11/10/2024 at 12:16 AM #240183
  Patrick K Templar

  //@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 ) // }

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  //@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 ) // }

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  // 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).

   

   

  

  Patrick K Templar

  Participant

  Topics: 20

  Replies: 82

  Been thanked: 1 time
  11/10/2024 at 1:08 AM #240187
  Patrick K Templar

  this is how the volume deltar work

  

  Patrick K Templar

  Participant

  Topics: 20

  Replies: 82

  Been thanked: 1 time
  11/10/2024 at 1:53 AM #240195
  Patrick K Templar

  I GAVE IT A GO BUT IT NOT WORKING

  // ProRealTime Code for Volumatic VIDYA with Adjustable Parameters // --- Input Parameters --- vidyaLength = 10 // VIDYA Length (lookback period for smoothing) vidyaMomentum = 20 // VIDYA Momentum (determines sensitivity to trend strength) bandMultiplier = 2 // Band distance multiplier based on ATR pivotLookback = 6 // Number of bars for identifying pivots // --- Initial Setup and Calculation --- // Calculate Chande Momentum Oscillator (CMO) //momentum = close - close[1] //sumPosMomentum = summation(max(momentum, 0), vidyaMomentum) //sumNegMomentum = summation(-min(momentum, 0), vidyaMomentum) cmo =Chandle[20](close) //abs((sumPosMomentum - sumNegMomentum) / (sumPosMomentum + sumNegMomentum) * 100) // Calculate the smoothing factor 'alpha' and apply VIDYA formula alpha = 2 / (vidyaLength + 1) vidya = alpha * cmo / 100 * close + (1 - alpha * cmo / 100) * vidya[1] // Calculate the Average True Range (ATR) for band distance atrValue = average[vidyaLength](high - low) upperBand = vidya + bandMultiplier * atrValue lowerBand = vidya - bandMultiplier * atrValue // --- Volume and Pivot Detection --- // Identify pivots (high and low) pivotHigh = highest[pivotLookback](high) pivotLow = lowest[pivotLookback](low) // Track uptrend and downtrend volume upVolume = 0 downVolume = 0 for i = 0 to pivotLookback - 1 do if close[i] > open[i] then upVolume = upVolume + volume[i] else downVolume = downVolume + volume[i] endif next // Calculate volume delta percentage avgVolume = (upVolume + downVolume) / 2 volumeDelta = ((upVolume - downVolume) / avgVolume) * 100 // --- Plotting --- // Display Volume Delta as a label at the last bar if barindex = 1 then drawtext("Volume Delta: " , barindex, close,SansSerif,bold,10)coloured(200,0,0) endif // --- RETURN Statement --- // The RETURN statement defines what is plotted on the chart. RETURN vidya AS "VIDYA Line", upperBand AS "Upper Band", lowerBand AS "Lower Band"

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  // ProRealTime Code for Volumatic VIDYA with Adjustable Parameters   // --- Input Parameters --- vidyaLength = 10         // VIDYA Length (lookback period for smoothing) vidyaMomentum = 20       // VIDYA Momentum (determines sensitivity to trend strength) bandMultiplier = 2       // Band distance multiplier based on ATR pivotLookback = 6        // Number of bars for identifying pivots   // --- Initial Setup and Calculation --- // Calculate Chande Momentum Oscillator (CMO) //momentum = close - close[1] //sumPosMomentum = summation(max(momentum, 0), vidyaMomentum) //sumNegMomentum = summation(-min(momentum, 0), vidyaMomentum) cmo =Chandle[20](close) //abs((sumPosMomentum - sumNegMomentum) / (sumPosMomentum + sumNegMomentum) * 100)   // Calculate the smoothing factor 'alpha' and apply VIDYA formula alpha = 2 / (vidyaLength + 1) vidya = alpha * cmo / 100 * close + (1 - alpha * cmo / 100) * vidya[1]   // Calculate the Average True Range (ATR) for band distance atrValue = average[vidyaLength](high - low) upperBand = vidya + bandMultiplier * atrValue lowerBand = vidya - bandMultiplier * atrValue   // --- Volume and Pivot Detection --- // Identify pivots (high and low) pivotHigh = highest[pivotLookback](high) pivotLow = lowest[pivotLookback](low)   // Track uptrend and downtrend volume upVolume = 0 downVolume = 0 for i = 0 to pivotLookback - 1 do if close[i] > open[i] then upVolume = upVolume + volume[i] else downVolume = downVolume + volume[i] endif next   // Calculate volume delta percentage avgVolume = (upVolume + downVolume) / 2 volumeDelta = ((upVolume - downVolume) / avgVolume) * 100   // --- Plotting --- // Display Volume Delta as a label at the last bar if barindex = 1 then drawtext("Volume Delta: " , barindex, close,SansSerif,bold,10)coloured(200,0,0) endif   // --- RETURN Statement --- // The RETURN statement defines what is plotted on the chart. RETURN vidya AS "VIDYA Line", upperBand AS "Upper Band", lowerBand AS "Lower Band"

   

  

  Patrick K Templar

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  11/10/2024 at 5:13 PM #240222
  Patrick K Templar

  i given it my best go

  // Volumatic Variable Index Dynamic Average (VIDYA) // Parameters period = 14 vidyaLength = 10 // Length for VIDYA calculation vidyaMomentum = 20 // Momentum length for VIDYA bandDistance = 2 // Distance factor for bands pivotLeftBars = 6 // Left side pivot bars pivotRightBars = 6 // Right side pivot bars source = close // Source for VIDYA calculation CHAN = 20 // Chande Momentum Oscillator period // Initialize variables uptrend = 0 downtrend = 0 smoothedValue = 0 isTrendUp = 0 vidya = 0 // Initializing VIDYA with a default value // Calculate VIDYA if barindex > 100 then k = abs(Chandle[CHAN](close)) / 100 alfa = 2 / (period + 1) // Calculate VIDYA only if it's initialized, otherwise start it from the source if vidya = 0 then vidya = close // First calculation, set vidya to current close price else vidya = alfa * k * close + (1 - alfa * k) * vidya // Subsequent calculations endif endif // Calculate ATR and bands ATRValue = AverageTrueRange[200](close) upperBand = vidya + ATRValue * bandDistance lowerBand = vidya - ATRValue * bandDistance // Determine trend based on VIDYA bands IF close CROSSES OVER upperBand THEN isTrendUp = 1 ENDIF IF close CROSSES UNDER lowerBand THEN isTrendUp = 0 ENDIF // Calculate smoothedValue based on trend IF isTrendUp THEN smoothedValue = lowerBand ELSE smoothedValue = upperBand ENDIF // Calculate support and resistance levels using pivots supportLine = Lowest[2 * pivotLeftBars + 1](low) resistanceLine = Highest[2 * pivotLeftBars + 1](high) // Draw support and resistance lines IF low > supportLine THEN DRAWLINE(barindex[pivotRightBars], supportLine, barindex, supportLine) COLOURED(0,255,0) ENDIF IF high < resistanceLine THEN DRAWLINE(barindex[pivotRightBars], resistanceLine, barindex, resistanceLine) COLOURED(200,100,0) ENDIF // Plot trend direction arrows based on isTrendUp IF isTrendUp THEN DRAWTEXT("▲", barindex, smoothedValue - 10 * pointsize, Dialog, Bold, 10) COLOURED(200,200,0) ELSE DRAWTEXT("▼", barindex, smoothedValue + 10 * pointsize, Dialog, Bold, 10) COLOURED(200,100,0) ENDIF // Plot the VIDYA, bands, and smoothed trend line RETURN vidya AS "VIDYA", close AS "Close", upperBand AS "Upper Band", lowerBand AS "Lower Band", smoothedValue AS "Smoothed Trend Line"

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  // Volumatic Variable Index Dynamic Average (VIDYA)   // Parameters period = 14 vidyaLength = 10             // Length for VIDYA calculation vidyaMomentum = 20           // Momentum length for VIDYA bandDistance = 2             // Distance factor for bands pivotLeftBars = 6            // Left side pivot bars pivotRightBars = 6           // Right side pivot bars source = close               // Source for VIDYA calculation CHAN = 20                    // Chande Momentum Oscillator period   // Initialize variables uptrend = 0 downtrend = 0 smoothedValue = 0 isTrendUp = 0 vidya = 0                    // Initializing VIDYA with a default value   // Calculate VIDYA if barindex > 100 then k = abs(Chandle[CHAN](close)) / 100 alfa = 2 / (period + 1)      // Calculate VIDYA only if it's initialized, otherwise start it from the source if vidya = 0 then vidya = close         // First calculation, set vidya to current close price else vidya = alfa * k * close + (1 - alfa * k) * vidya  // Subsequent calculations endif endif   // Calculate ATR and bands ATRValue = AverageTrueRange[200](close) upperBand = vidya + ATRValue * bandDistance lowerBand = vidya - ATRValue * bandDistance   // Determine trend based on VIDYA bands IF close CROSSES OVER upperBand THEN isTrendUp = 1 ENDIF IF close CROSSES UNDER lowerBand THEN isTrendUp = 0 ENDIF   // Calculate smoothedValue based on trend IF isTrendUp THEN smoothedValue = lowerBand ELSE smoothedValue = upperBand ENDIF   // Calculate support and resistance levels using pivots supportLine = Lowest[2 * pivotLeftBars + 1](low) resistanceLine = Highest[2 * pivotLeftBars + 1](high)   // Draw support and resistance lines IF low > supportLine THEN DRAWLINE(barindex[pivotRightBars], supportLine, barindex, supportLine) COLOURED(0,255,0) ENDIF IF high < resistanceLine THEN DRAWLINE(barindex[pivotRightBars], resistanceLine, barindex, resistanceLine) COLOURED(200,100,0) ENDIF   // Plot trend direction arrows based on isTrendUp IF isTrendUp THEN DRAWTEXT("▲", barindex, smoothedValue - 10 * pointsize, Dialog, Bold, 10) COLOURED(200,200,0) ELSE DRAWTEXT("▼", barindex, smoothedValue + 10 * pointsize, Dialog, Bold, 10) COLOURED(200,100,0) ENDIF   // Plot the VIDYA, bands, and smoothed trend line RETURN vidya AS "VIDYA", close AS "Close", upperBand AS "Upper Band", lowerBand AS "Lower Band", smoothedValue AS "Smoothed Trend Line"

  

  Patrick K Templar

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  11/11/2024 at 3:12 AM #240228
  Patrick K Templar

  I GAVE IT A GO BUT IT NOT WORKING 2ooam gmt now

  // Parameters period = 14 // VIDYA or moving average period for trend //vidyaMomentum = 20 // Momentum for VIDYA calculation source = close // Source for VIDYA calculation CHAN = 20 // Period for Chandle calculation bandDistance = 2.2 // Distance factor for upper/lower bands // --- Calculate the VIDYA (Variable Index Dynamic Average) --- // VIDYA Calculation IF barindex > 100 THEN k = abs(Std[CHAN](close)) / 100 alfa = 2 / (period + 1) vidya = (alfa * k * close + (1 - alfa * k) * vidya[1]) ENDIF // Calculate True Range (TR) for ATR bands TrueRange = TR (close) ATRValue = Average[200](TrueRange) // Calculate ATR for bands ATRValue = AverageTrueRange[200](close) upperBand = vidya + ATRValue * bandDistance lowerBand = vidya - ATRValue * bandDistance // Calculate cumulative volume and delta volume // Parameters for delta volume calculation upVolume = volume * (close > close[1]) // Volume for up bars downVolume = volume * (close < close[1]) // Volume for down bars cumulativeVolume = upVolume + downVolume // Calculate delta volume (percentage difference) IF cumulativeVolume <> 0 THEN deltaVolume = 100 * (upVolume - downVolume) / cumulativeVolume ELSE deltaVolume = 0 // If no volume, set deltaVolume to zero ENDIF // Draw delta volume as text on the chart if deltaVolume = 100 then DRAWTEXT("Delta",barindex,deltaVolume,SansSerif,Bold,5)coloured(0,153,0) ENDIF // Optionally, draw delta volume as a line if deltaVolume = 100 then DRAWLINE(barindex-10,deltaVolume,barindex,deltaVolume) coloured(153,0,0) ENDIF // Detect trend based on VIDYA bands trendisup = close CROSSES OVER upperBand trendisdown = close CROSSES UNDER lowerBand // Set smoothed value based on trend direction IF trendisup THEN smoothedValuel = lowerBand endif if trendisdown then smoothedValueu = upperBand ENDIF //draw mode FOR i = 0 TO barindex - 1 DO // Draw upper band segment if trend is up IF trendisup THEN DRAWSEGMENT(i, upperBand[i], i + 1, upperBand[i + 1]) COLOURED(0, 0, 255) // Blue for upper band ENDIF // Draw lower band segment if trend is down IF trendisdown THEN DRAWSEGMENT(i, lowerBand[i], i + 1, lowerBand[i + 1]) COLOURED(255, 0, 0) // Red for lower band ENDIF NEXT // Draw arrows at trend shifts IF trendisup THEN DRAWTEXT("▲", barindex, low - 12 * pointsize, SansSerif, Bold, 18) COLOURED(50, 150, 255) // Up arrow, blue ENDIF IF trendisdown THEN DRAWTEXT("▼", barindex, high + 12 * pointsize, SansSerif, Bold, 20) COLOURED(255, 10, 50) // Down arrow, red ENDIF RETURN vidya AS "VIDYA", trendisup as "tendup",trendisdown AS "trenddown" ,smoothedValuel AS "Smoothed Trend Linel",smoothedValueu AS "Smoothed Trend Lineu", upperBand AS "Upper Band", lowerBand AS "Lower Band"

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  // Parameters period = 14             // VIDYA or moving average period for trend //vidyaMomentum = 20      // Momentum for VIDYA calculation source = close          // Source for VIDYA calculation CHAN = 20                              // Period for Chandle calculation bandDistance = 2.2                    // Distance factor for upper/lower bands         // --- Calculate the VIDYA (Variable Index Dynamic Average) --- // VIDYA Calculation IF barindex > 100 THEN k = abs(Std[CHAN](close)) / 100 alfa = 2 / (period + 1) vidya = (alfa * k * close + (1 - alfa * k) * vidya[1]) ENDIF // Calculate True Range (TR) for ATR bands TrueRange = TR (close) ATRValue = Average[200](TrueRange) // Calculate ATR for bands ATRValue = AverageTrueRange[200](close) upperBand = vidya + ATRValue * bandDistance lowerBand = vidya - ATRValue * bandDistance // Calculate cumulative volume and delta volume // Parameters for delta volume calculation upVolume = volume * (close > close[1])  // Volume for up bars downVolume = volume * (close < close[1])  // Volume for down bars cumulativeVolume = upVolume + downVolume   // Calculate delta volume (percentage difference) IF cumulativeVolume <> 0 THEN deltaVolume = 100 * (upVolume - downVolume) / cumulativeVolume ELSE deltaVolume = 0  // If no volume, set deltaVolume to zero ENDIF   // Draw delta volume as text on the chart if deltaVolume = 100 then DRAWTEXT("Delta",barindex,deltaVolume,SansSerif,Bold,5)coloured(0,153,0) ENDIF     // Optionally, draw delta volume as a line if deltaVolume = 100 then   DRAWLINE(barindex-10,deltaVolume,barindex,deltaVolume) coloured(153,0,0) ENDIF // Detect trend based on VIDYA bands trendisup  = close CROSSES OVER upperBand trendisdown  = close CROSSES UNDER lowerBand   // Set smoothed value based on trend direction IF trendisup THEN smoothedValuel = lowerBand endif if trendisdown then smoothedValueu = upperBand ENDIF   //draw mode FOR i = 0 TO barindex - 1 DO // Draw upper band segment if trend is up IF trendisup THEN DRAWSEGMENT(i, upperBand[i], i + 1, upperBand[i + 1]) COLOURED(0, 0, 255) // Blue for upper band ENDIF   // Draw lower band segment if trend is down IF trendisdown THEN DRAWSEGMENT(i, lowerBand[i], i + 1, lowerBand[i + 1]) COLOURED(255, 0, 0) // Red for lower band ENDIF NEXT   // Draw arrows at trend shifts IF trendisup THEN DRAWTEXT("▲", barindex, low - 12 * pointsize, SansSerif, Bold, 18) COLOURED(50, 150, 255) // Up arrow, blue ENDIF   IF trendisdown THEN DRAWTEXT("▼", barindex, high + 12 * pointsize, SansSerif, Bold, 20) COLOURED(255, 10, 50) // Down arrow, red ENDIF   RETURN vidya AS "VIDYA", trendisup as "tendup",trendisdown AS "trenddown" ,smoothedValuel AS "Smoothed Trend Linel",smoothedValueu AS "Smoothed Trend Lineu", upperBand AS "Upper Band", lowerBand AS "Lower Band"

  

  Patrick K Templar

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  11/11/2024 at 12:02 PM #240236
  Patrick K Templar

  https://www.tradingview.com/script/llhVjhA5-Volumatic-Variable-Index-Dynamic-Average-BigBeluga/

  

  Patrick K Templar

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  11/11/2024 at 1:55 PM #240237
  Patrick K Templar

  // Parameters for customization period = 14 CHAN = 20 // Period for Chandle calculation bandDistance = 2.0 pivotRightBars = 3 // Number of bars for the pivot point lookback lineLength = 5 // Length of the support line // Length of the support line // Initialize VIDYA (Variable Index Dynamic Average) IF barindex > 100 THEN k = ABS(Std[CHAN](close)) / 100 alfa = 2 / (period + 1) IF barindex = 1 THEN vidya = close // Initialize vidya at the first bar ELSE vidya = alfa * k * close + (1 - alfa * k) * vidya[1] ENDIF ENDIF // Calculate True Range (TR) for ATR bands TrueRange = TR(close) ATRValue = AverageTrueRange[200](close) // Calculate ATR for bands upperBand = vidya + ATRValue * bandDistance lowerBand = vidya - ATRValue * bandDistance // Conditions to enter long positions indicator1 = CALL "MyIndicator(27)" c1 = (indicator1 CROSSES under 0) // Debugging: Check if c1 is ever true IF c1 THEN DRAWTEXT("Crossed over", barindex, high) ENDIF // Iterate through each bar to find pivot lows and draw support lines when c1 is true IF c1 THEN FOR i = pivotRightBars TO barindex - pivotRightBars DO // Check if this is a pivot low (support level) IF LOW[i] < MIN(LOW[i - pivotRightBars], LOW[i + pivotRightBars]) THEN upperBand = AVERAGE[pivotRightBars](CLOSE) // Example smoothing calculation IF LOW[i] > upperBand THEN // Draw a support line at the pivot low point DRAWSEGMENT(i, LOW[i], i + lineLength, LOW[i]) COLOURED(0, 255, 0) // Green for support zone ENDIF ENDIF NEXT ENDIF // The return statement should be placed at the end RETURN upperBand as "Upper Band", lowerBand AS "Lower Band"

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  // Parameters for customization period = 14 CHAN = 20                              // Period for Chandle calculation bandDistance = 2.0 pivotRightBars = 3            // Number of bars for the pivot point lookback lineLength = 5                // Length of the support line   // Length of the support line   // Initialize VIDYA (Variable Index Dynamic Average) IF barindex > 100 THEN k = ABS(Std[CHAN](close)) / 100 alfa = 2 / (period + 1) IF barindex = 1 THEN vidya = close  // Initialize vidya at the first bar ELSE vidya = alfa * k * close + (1 - alfa * k) * vidya[1] ENDIF ENDIF   // Calculate True Range (TR) for ATR bands TrueRange = TR(close) ATRValue = AverageTrueRange[200](close)   // Calculate ATR for bands upperBand = vidya + ATRValue * bandDistance lowerBand = vidya - ATRValue * bandDistance   // Conditions to enter long positions indicator1 = CALL "MyIndicator(27)" c1 = (indicator1 CROSSES under 0)   // Debugging: Check if c1 is ever true IF c1 THEN DRAWTEXT("Crossed over", barindex, high) ENDIF   // Iterate through each bar to find pivot lows and draw support lines when c1 is true IF c1 THEN FOR i = pivotRightBars TO barindex - pivotRightBars DO // Check if this is a pivot low (support level) IF LOW[i] < MIN(LOW[i - pivotRightBars], LOW[i + pivotRightBars]) THEN upperBand = AVERAGE[pivotRightBars](CLOSE)  // Example smoothing calculation IF LOW[i] > upperBand THEN // Draw a support line at the pivot low point DRAWSEGMENT(i, LOW[i], i + lineLength, LOW[i]) COLOURED(0, 255, 0) // Green for support zone   ENDIF ENDIF NEXT ENDIF   // The return statement should be placed at the end RETURN upperBand as "Upper Band", lowerBand AS "Lower Band"

  

  Patrick K Templar

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  11/11/2024 at 3:26 PM #240241
  Patrick K Templar

  pleses save me from this mad ness

  

  Patrick K Templar

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  11/11/2024 at 8:13 PM #240246
  Fr7

  defparam drawonlastbaronly=true

  defparam calculateonlastbars=1000

  

  Fr7

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  11/11/2024 at 9:16 PM #240248
  Patrick K Templar

  what does that do pleses    (like a child please)

   

  

  Patrick K Templar

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  11/11/2024 at 9:48 PM #240249
  Fr7

  defparam drawonlastbaronly=true

  defparam calculateonlastbars=1000

  // Parameters for customization

  period = 14

  CHAN = 20                              // Period for Chandle calculation

  bandDistance = 2.0

  pivotRightBars = 3            // Number of bars for the pivot point lookback

  lineLength = 5                // Length of the support line

  // Length of the support line

  // Initialize VIDYA (Variable Index Dynamic Average)

  IF barindex > 100 THEN

  k = ABS(Std[CHAN](close)) / 100

  alfa = 2 / (period + 1)

  IF barindex = 1 THEN

  vidya = close  // Initialize vidya at the first bar

  ELSE

  vidya = alfa * k * close + (1 – alfa * k) * vidya[1]

  ENDIF

  ENDIF

  // Calculate True Range (TR) for ATR bands

  TrueRange = TR(close)

  ATRValue = AverageTrueRange[200](close)

  // Calculate ATR for bands

  upperBand = vidya + ATRValue * bandDistance

  lowerBand = vidya – ATRValue * bandDistance

  // Conditions to enter long positions

  indicator1 = CALL “MyIndicator(27)”

  c1 = (indicator1 CROSSES under 0)

  // Debugging: Check if c1 is ever true

  IF c1 THEN

  DRAWTEXT(“Crossed over”, barindex, high)

  ENDIF

  // Iterate through each bar to find pivot lows and draw support lines when c1 is true

  IF c1 THEN

  FOR i = pivotRightBars TO barindex – pivotRightBars DO

  // Check if this is a pivot low (support level)

  IF LOW[i] < MIN(LOW[i – pivotRightBars], LOW[i + pivotRightBars]) THEN

  upperBand = AVERAGE[pivotRightBars](CLOSE)  // Example smoothing calculation

  IF LOW[i] > upperBand THEN

  // Draw a support line at the pivot low point

  DRAWSEGMENT(i, LOW[i], i + lineLength, LOW[i]) COLOURED(0, 255, 0) // Green for support zone

  ENDIF

  ENDIF

  NEXT

  ENDIF

  // The return statement should be placed at the end

  RETURN upperBand as “Upper Band”, lowerBand AS “Lower Band”

  

  Fr7

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  11/11/2024 at 9:51 PM #240250
  Fr7

  If you put this at the beginning of the code it prevents your last photo from being unreadable:
  defparam drawonlastbaronly=true
  defparam calculatedlastbars=1000

  1 user thanked author for this post.

  Patrick K Templar

  

  Fr7

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  11/12/2024 at 3:38 AM #240256
  Patrick K Templar

  // Parameters DEFPARAM drawonlastbaronly = TRUE DEFPARAM calculateonlastbars = 1000 period = 14 // VIDYA smoothing period source = close // Source for VIDYA calculation CHAN = 20 // Period for Chandle calculation bandDistance = 2.2 // Distance factor for upper/lower bands // --- Calculate the VIDYA (Variable Index Dynamic Average) --- IF barindex > 100 THEN k = abs(Std[CHAN](close)) / 100 alfa = 2 / (period + 1) vidya = (alfa * k * close + (1 - alfa * k) * vidya[1]) ENDIF // Calculate ATR for bands ATRValue = AverageTrueRange[200] upperBand = vidya + ATRValue * bandDistance lowerBand = vidya - ATRValue * bandDistance // Detect trend direction and crossovers with bands IF (close > upperBand AND close[1] <= upperBand[1]) THEN b1 = 1 b2 = 0 ELSE if close < lowerBand AND close[1] >= lowerBand[1] THEN b1 = 0 b2 = 1 ELSE b1 = 0 b2 = 0 ENDIF ENDIF // Determine the trend status (A1, A2, A3) based on crossover detection IF b1 = 1 THEN A1 = upperBand A2 = 0 A3 = 0 ELSE if b2 = 1 THEN A1 = 0 A2 = lowerBand A3 = 0 ELSE A1 = 0 A2 = 0 A3 = vidya // Set A3 to vidya when in between bands ENDIF ENDIF // Draw the VIDYA band with color for trend direction // Draw the upper and lower bands with color fills IF A1 <> 0 THEN DRAWSEGMENT(barindex - 1, upperBand[1], barindex, upperBand) COLOURED(255, 10, 10) ENDIF IF A2 <> 0 THEN DRAWSEGMENT(barindex - 1, lowerBand[1], barindex, lowerBand) COLOURED(10, 10, 255) ENDIF IF A3 <> 0 THEN DRAWSEGMENT(barindex - 1, vidya[1], barindex, vidya) COLOURED(10, 255, 10) ENDIF // Attempt to add color fill between the upper and lower bands IF upperBand <> 0 AND lowerBand <> 0 THEN //DRAWsegment {lowerBand} upperBand, COLOURED(50, 50, 150, 50) // Faint color fill ENDIF // Final RETURN statement to display the calculated trend line and bands RETURN upperBand AS "Upper Band", lowerBand AS "Lower Band", vidya AS "VIDYA"

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  // Parameters DEFPARAM drawonlastbaronly = TRUE DEFPARAM calculateonlastbars = 1000   period = 14                    // VIDYA smoothing period source = close                 // Source for VIDYA calculation CHAN = 20                      // Period for Chandle calculation bandDistance = 2.2             // Distance factor for upper/lower bands   // --- Calculate the VIDYA (Variable Index Dynamic Average) --- IF barindex > 100 THEN k = abs(Std[CHAN](close)) / 100 alfa = 2 / (period + 1) vidya = (alfa * k * close + (1 - alfa * k) * vidya[1]) ENDIF   // Calculate ATR for bands ATRValue = AverageTrueRange[200] upperBand = vidya + ATRValue * bandDistance lowerBand = vidya - ATRValue * bandDistance   // Detect trend direction and crossovers with bands IF (close > upperBand AND close[1] <= upperBand[1]) THEN b1 = 1 b2 = 0 ELSE if close < lowerBand AND close[1] >= lowerBand[1] THEN b1 = 0 b2 = 1 ELSE b1 = 0 b2 = 0 ENDIF ENDIF // Determine the trend status (A1, A2, A3) based on crossover detection IF b1 = 1 THEN A1 = upperBand A2 = 0 A3 = 0 ELSE if b2 = 1 THEN A1 = 0 A2 = lowerBand A3 = 0 ELSE A1 = 0 A2 = 0 A3 = vidya  // Set A3 to vidya when in between bands ENDIF ENDIF // Draw the VIDYA band with color for trend direction // Draw the upper and lower bands with color fills IF A1 <> 0 THEN DRAWSEGMENT(barindex - 1, upperBand[1], barindex, upperBand) COLOURED(255, 10, 10) ENDIF IF A2 <> 0 THEN DRAWSEGMENT(barindex - 1, lowerBand[1], barindex, lowerBand) COLOURED(10, 10, 255) ENDIF IF A3 <> 0 THEN DRAWSEGMENT(barindex - 1, vidya[1], barindex, vidya) COLOURED(10, 255, 10) ENDIF   // Attempt to add color fill between the upper and lower bands IF upperBand <> 0 AND lowerBand <> 0 THEN //DRAWsegment {lowerBand} upperBand, COLOURED(50, 50, 150, 50) // Faint color fill ENDIF   // Final RETURN statement to display the calculated trend line and bands RETURN upperBand AS "Upper Band", lowerBand AS "Lower Band", vidya AS "VIDYA"

  

  Patrick K Templar

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  11/12/2024 at 3:56 AM #240258
  Patrick K Templar

  i know it can be done i just dont know how or what some things are doing

  , i + 1, upperBand[i + 1]) COLOURED(0, 0, 255) // Blue for upper band ENDIF"]IF cumulativeVolume <> 0 THEN deltaVolume = 100 * (upVolume - downVolume) / cumulativeVolume ELSE deltaVolume = 0 // If no volume, set deltaVolume to zero ENDIF // Draw delta volume as text on the chart if deltaVolume = 100 then DRAWTEXT("Delta",barindex,deltaVolume,SansSerif,Bold,5)coloured(0,153,0) ENDIF // Optionally, draw delta volume as a line if deltaVolume = 100 then DRAWLINE(barindex-10,deltaVolume,barindex,deltaVolume) coloured(153,0,0) ENDIF // Detect trend based on VIDYA bands trendisup = close CROSSES OVER upperBand trendisdown = close CROSSES UNDER lowerBand // Set smoothed value based on trend direction IF trendisup THEN smoothedValuel = lowerBand endif if trendisdown then smoothedValueu = upperBand ENDIF //draw mode FOR i = 0 TO barindex - 1 DO // Draw upper band segment if trend is up IF trendisup THEN DRAWSEGMENT(i, upperBand[i], i + 1, upperBand[i + 1]) COLOURED(0, 0, 255) // Blue for upper band ENDIF // Draw lower band segment if trend is down IF trendisdown THEN DRAWSEGMENT(i, lowerBand[i], i + 1, lowerBand[i + 1]) COLOURED(255, 0, 0) // Red for lower band ENDIF NEXT // Draw arrows at trend shifts IF trendisup THEN DRAWTEXT("▲", barindex, low - 12 * pointsize, SansSerif, Bold, 18) COLOURED(50, 150, 255) // Up arrow, blue ENDIF IF trendisdown THEN DRAWTEXT("▼", barindex, high + 12 * pointsize, SansSerif, Bold, 20) COLOURED(255, 10, 50) // Down arrow, red ENDIF RETURN vidya AS "VIDYA", trendisup as "tendup",trendisdown AS "trenddown" ,smoothedValuel AS "Smoothed Trend Linel",smoothedValueu AS "Smoothed Trend Lineu", upperBand AS "Upper Band", lowerBand AS "Lower Band"

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  , i + 1, upperBand[i + 1]) COLOURED(0, 0, 255) // Blue for upper band ENDIF"]IF cumulativeVolume <> 0 THEN deltaVolume = 100 * (upVolume - downVolume) / cumulativeVolume ELSE deltaVolume = 0  // If no volume, set deltaVolume to zero ENDIF // Draw delta volume as text on the chart if deltaVolume = 100 then DRAWTEXT("Delta",barindex,deltaVolume,SansSerif,Bold,5)coloured(0,153,0) ENDIF // Optionally, draw delta volume as a line if deltaVolume = 100 then DRAWLINE(barindex-10,deltaVolume,barindex,deltaVolume) coloured(153,0,0) ENDIF // Detect trend based on VIDYA bands trendisup  = close CROSSES OVER upperBand trendisdown  = close CROSSES UNDER lowerBand // Set smoothed value based on trend direction IF trendisup THEN smoothedValuel = lowerBand endif if trendisdown then smoothedValueu = upperBand ENDIF //draw mode FOR i = 0 TO barindex - 1 DO // Draw upper band segment if trend is up IF trendisup THEN DRAWSEGMENT(i, upperBand[i], i + 1, upperBand[i + 1]) COLOURED(0, 0, 255) // Blue for upper band ENDIF // Draw lower band segment if trend is down IF trendisdown THEN DRAWSEGMENT(i, lowerBand[i], i + 1, lowerBand[i + 1]) COLOURED(255, 0, 0) // Red for lower band ENDIF NEXT // Draw arrows at trend shifts IF trendisup THEN DRAWTEXT("▲", barindex, low - 12 * pointsize, SansSerif, Bold, 18) COLOURED(50, 150, 255) // Up arrow, blue ENDIF IF trendisdown THEN DRAWTEXT("▼", barindex, high + 12 * pointsize, SansSerif, Bold, 20) COLOURED(255, 10, 50) // Down arrow, red ENDIF RETURN vidya AS "VIDYA", trendisup as "tendup",trendisdown AS "trenddown" ,smoothedValuel AS "Smoothed Trend Linel",smoothedValueu AS "Smoothed Trend Lineu", upperBand AS "Upper Band", lowerBand AS "Lower Band"

  

  Patrick K Templar

  Participant

  Topics: 20

  Replies: 82

  Been thanked: 1 time
  11/13/2024 at 6:11 PM #240325
  Iván

  Hola. Os paso mi versión:

  Hi. Here is my version:

  //------------------------------------------// //PRC_Volumatic VIDYA //version = 0 //13.11.2024 //Iván González @ www.prorealcode.com //Sharing ProRealTime knowledge //------------------------------------------// //Inputs //------------------------------------------// vidyaLength=10 vidyaMomentum=20 bandDistance=2 prd=3 src=close //------------------------------------------// // ATR //------------------------------------------// atrvalue=averagetruerange[200](close) //------------------------------------------// // VIDYA - Variable INdex Dynamic Average //------------------------------------------// mom=src-src[1] PosMon=mom>=0 NegMon=mom<0 sumPosMom=summation[vidyaMomentum](mom*PosMon) sumNegMom=summation[vidyaMomentum](-mom*NegMon) once vidyaValue=src if barindex>20 then absCmo=abs(100*(sumPosMom-sumNegMom)/(sumPosMom+sumNegMom)) alpha=2/(vidyaLength+1) vidyaValue=alpha*absCmo/100*src+(1-alpha*abscmo/100)*(vidyaValue[1]) SMAvidyaValue=average[15](vidyaValue) endif //------------------------------------------// // Upper & Lower Bands //------------------------------------------// upperBand=SMAvidyaValue+atrvalue*bandDistance lowerBand=SMAvidyaValue-atrvalue*bandDistance //------------------------------------------// // Trend Direction //------------------------------------------// if src crosses over upperband then r=23 g=233 b=173 isTrendUp=1 elsif src crosses under lowerband then r=221 g=50 b=107 isTrendUp=0 endif //Set Trend-based smoothing variable if isTrendUp then SmoothedValue=lowerBand if isTrendUp<>isTrendUp[1] then drawtext("▲",barindex,SmoothedValue-0.15*tr)coloured(r,g,b) endif elsif isTrendUp=0 then SmoothedValue=upperBand if isTrendUp<>isTrendUp[1] then drawtext("▼",barindex,SmoothedValue+0.15*tr)coloured(r,g,b) endif endif //------------------------------------------// // Pivot Highs & Low //------------------------------------------// //Pivot high src1=high ph1 = src1 < src1[prd] ph2 = highest[prd](src1) < src1[prd] ph3 = src1[prd] > highest[prd](src1)[prd+1] if ph1 and ph2 and ph3 then $pivotH[t+1] = src1[prd] $pivotHx[t+1] = barindex[prd] t=t+1 endif //Pivot Low src2=close pl1 = src2 > src2[prd] pl2 = lowest[prd](src2) > src2[prd] pl3 = src2[prd] < lowest[prd](src2)[prd+1] if pl1 and pl2 and pl3 then $pivotL[z+1] = src2[prd] $pivotLx[z+1] = barindex[prd] z=z+1 endif //------------------------------------------// // Lines for Support Zones //------------------------------------------// if low[prd]>smoothedValue and z<>z[1] then rr=23 gg=233 bb=173 drawsegment(barindex[prd],low[prd],barindex[prd]+5,low[prd])coloured(rr,gg,bb) volumeValue=summation[prd+prd](volume)/(prd+prd) $LineLowx1[n+1]=barindex[prd] $LineLowy1[n+1]=low[prd] n=n+1 endif if n>0 then for i=0 to n-1 do priceCross=smoothedValue>$LineLowy1[i] and smoothedValue[1]<=$LineLowy1[i] isShortLine=barindex-$LineLowx1[i]<50 if priceCross and isShortLine and isTrendUp=isTrendUp[1] then $LineLowx2[i]=barindex drawtext("●",barindex[1],$LineLowy1[i])coloured(rr,gg,bb,100) drawsegment($LineLowx1[i],$LineLowy1[i],$LineLowx2[i],$LineLowy1[i])coloured(rr,gg,bb) drawtext("#VolumeValue#",barindex+5,$LineLowy1[i]-0.25*tr) endif next endif //------------------------------------------// // Lines for Resistance Zones //------------------------------------------// if high[prd]<smoothedValue and t<>t[1] then rr=221 gg=50 bb=107 drawsegment(barindex[prd],high[prd],barindex[prd]+5,high[prd])coloured(rr,gg,bb) volumeValue=summation[prd+prd](-volume)/(prd+prd) $LineHighx1[p+1]=barindex[prd] $LineHighy1[p+1]=high[prd] p=p+1 endif if p>0 then for i=0 to p-1 do priceCross=smoothedValue<$LineHighy1[i] and smoothedValue[1]>=$LineHighy1[i] isShortLine=barindex-$LineHighx1[i]<50 if priceCross and isShortLine and isTrendUp=isTrendUp[1] then $LineHighx2[i]=barindex drawtext("●",barindex[1],$LineHighy1[i])coloured(rr,gg,bb,100) drawsegment($LineHighx1[i],$LineHighy1[i],$LineHighx2[i],$LineHighy1[i])coloured(rr,gg,bb) drawtext("#VolumeValue#",barindex+5,$LineHighy1[i]+0.25*tr) endif next endif colorbetween((high+low)/2,smoothedValue,r,g,b,50) //------------------------------------------// // Plot Volume and trend on the last bar //------------------------------------------// trendCrossUp=isTrendUp[1]=0 and isTrendUp trendCrossDown=isTrendUp[1] and isTrendUp=0 if trendCrossUp<>trendCrossUp[1] or trendCrossDown<>trendCrossDown[1] then upTrendVolume=0 downTrendVolume=0 else if close>open then upTrendVolume=volume+upTrendVolume else upTrendVolume=upTrendVolume endif if close<open then downTrendVolume=volume+downTrendVolume else downTrendVolume=downTrendVolume endif endif avgVolumeDelta=(upTrendVolume+downTrendVolume)/2 //Calculate delta Volume percentage if avgVolumeDelta<>0 then deltaVolume=round((upTrendVolume-downTrendVolume)/avgVolumeDelta*100,2) endif if islastbarupdate then drawtext("Buy: #upTrendVolume#",-100,-50)anchor(topright,xshift,yshift) drawtext("Sell: #downTrendVolume#",-100,-75)anchor(topright,xshift,yshift) drawtext("Delta Volume: #deltaVolume#%",-100,-100)anchor(topright,xshift,yshift) drawrectangle(-200,-30,-5,-120)anchor(topright,xshift,yshift) endif //------------------------------------------// return SmoothedValue coloured(r,g,b)style(line,2)

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  //------------------------------------------// //PRC_Volumatic VIDYA //version = 0 //13.11.2024 //Iván González @ www.prorealcode.com //Sharing ProRealTime knowledge //------------------------------------------// //Inputs //------------------------------------------// vidyaLength=10 vidyaMomentum=20 bandDistance=2 prd=3 src=close //------------------------------------------// // ATR //------------------------------------------// atrvalue=averagetruerange[200](close) //------------------------------------------// // VIDYA - Variable INdex Dynamic Average //------------------------------------------// mom=src-src[1] PosMon=mom>=0 NegMon=mom<0 sumPosMom=summation[vidyaMomentum](mom*PosMon) sumNegMom=summation[vidyaMomentum](-mom*NegMon) once vidyaValue=src if barindex>20 then absCmo=abs(100*(sumPosMom-sumNegMom)/(sumPosMom+sumNegMom)) alpha=2/(vidyaLength+1) vidyaValue=alpha*absCmo/100*src+(1-alpha*abscmo/100)*(vidyaValue[1]) SMAvidyaValue=average[15](vidyaValue) endif //------------------------------------------// // Upper & Lower Bands //------------------------------------------// upperBand=SMAvidyaValue+atrvalue*bandDistance lowerBand=SMAvidyaValue-atrvalue*bandDistance //------------------------------------------// // Trend Direction //------------------------------------------// if src crosses over upperband then r=23 g=233 b=173 isTrendUp=1 elsif src crosses under lowerband then r=221 g=50 b=107 isTrendUp=0 endif //Set Trend-based smoothing variable if isTrendUp then SmoothedValue=lowerBand if isTrendUp<>isTrendUp[1] then drawtext("▲",barindex,SmoothedValue-0.15*tr)coloured(r,g,b) endif elsif isTrendUp=0 then SmoothedValue=upperBand if isTrendUp<>isTrendUp[1] then drawtext("▼",barindex,SmoothedValue+0.15*tr)coloured(r,g,b) endif endif //------------------------------------------// // Pivot Highs & Low //------------------------------------------// //Pivot high src1=high ph1 = src1 < src1[prd] ph2 = highest[prd](src1) < src1[prd] ph3 = src1[prd] > highest[prd](src1)[prd+1] if ph1 and ph2 and ph3 then $pivotH[t+1] = src1[prd] $pivotHx[t+1] = barindex[prd] t=t+1 endif //Pivot Low src2=close pl1 = src2 > src2[prd] pl2 = lowest[prd](src2) > src2[prd] pl3 = src2[prd] < lowest[prd](src2)[prd+1] if pl1 and pl2 and pl3 then $pivotL[z+1] = src2[prd] $pivotLx[z+1] = barindex[prd] z=z+1 endif //------------------------------------------// // Lines for Support Zones //------------------------------------------// if low[prd]>smoothedValue and z<>z[1] then rr=23 gg=233 bb=173 drawsegment(barindex[prd],low[prd],barindex[prd]+5,low[prd])coloured(rr,gg,bb) volumeValue=summation[prd+prd](volume)/(prd+prd) $LineLowx1[n+1]=barindex[prd] $LineLowy1[n+1]=low[prd] n=n+1 endif if n>0 then for i=0 to n-1 do priceCross=smoothedValue>$LineLowy1[i] and smoothedValue[1]<=$LineLowy1[i] isShortLine=barindex-$LineLowx1[i]<50 if priceCross and isShortLine and isTrendUp=isTrendUp[1] then $LineLowx2[i]=barindex drawtext("●",barindex[1],$LineLowy1[i])coloured(rr,gg,bb,100) drawsegment($LineLowx1[i],$LineLowy1[i],$LineLowx2[i],$LineLowy1[i])coloured(rr,gg,bb) drawtext("#VolumeValue#",barindex+5,$LineLowy1[i]-0.25*tr) endif   next endif //------------------------------------------// // Lines for Resistance Zones //------------------------------------------// if high[prd]<smoothedValue and t<>t[1] then rr=221 gg=50 bb=107 drawsegment(barindex[prd],high[prd],barindex[prd]+5,high[prd])coloured(rr,gg,bb) volumeValue=summation[prd+prd](-volume)/(prd+prd) $LineHighx1[p+1]=barindex[prd] $LineHighy1[p+1]=high[prd] p=p+1 endif if p>0 then for i=0 to p-1 do priceCross=smoothedValue<$LineHighy1[i] and smoothedValue[1]>=$LineHighy1[i] isShortLine=barindex-$LineHighx1[i]<50 if priceCross and isShortLine and isTrendUp=isTrendUp[1] then $LineHighx2[i]=barindex drawtext("●",barindex[1],$LineHighy1[i])coloured(rr,gg,bb,100) drawsegment($LineHighx1[i],$LineHighy1[i],$LineHighx2[i],$LineHighy1[i])coloured(rr,gg,bb) drawtext("#VolumeValue#",barindex+5,$LineHighy1[i]+0.25*tr) endif   next endif colorbetween((high+low)/2,smoothedValue,r,g,b,50) //------------------------------------------// // Plot Volume and trend on the last bar //------------------------------------------// trendCrossUp=isTrendUp[1]=0 and isTrendUp trendCrossDown=isTrendUp[1] and isTrendUp=0   if trendCrossUp<>trendCrossUp[1] or trendCrossDown<>trendCrossDown[1] then upTrendVolume=0 downTrendVolume=0 else if close>open then upTrendVolume=volume+upTrendVolume else upTrendVolume=upTrendVolume endif if close<open then downTrendVolume=volume+downTrendVolume else downTrendVolume=downTrendVolume endif endif avgVolumeDelta=(upTrendVolume+downTrendVolume)/2   //Calculate delta Volume percentage if avgVolumeDelta<>0 then deltaVolume=round((upTrendVolume-downTrendVolume)/avgVolumeDelta*100,2) endif if islastbarupdate then   drawtext("Buy: #upTrendVolume#",-100,-50)anchor(topright,xshift,yshift) drawtext("Sell: #downTrendVolume#",-100,-75)anchor(topright,xshift,yshift) drawtext("Delta Volume: #deltaVolume#%",-100,-100)anchor(topright,xshift,yshift) drawrectangle(-200,-30,-5,-120)anchor(topright,xshift,yshift)   endif //------------------------------------------// return SmoothedValue coloured(r,g,b)style(line,2)

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