// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
// creativecommons.org/licenses/by-nc-sa/4.0/
// © BigBeluga
//version=6
indicator('Volatility Drift [7 Dreams India Official]', 'Volatility Drift [7DIO]', overlay = true, max_lines_count = 500, max_labels_count = 500)
// ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Input parameters for length, momentum, and source data
int vd_length = input.int(10, 'VD Length') // Length of the VD calculation
int vd_momentum = input.int(20, 'VD Momentum') // Momentum length for VD
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 vd 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 vd trend levels
var bool is_trend_up = false // Boolean variable for tracking trend direction
// Initialize arrays for storing line and volume information
var array<line> liquidity_lines_low = array.new<line>(500) // Array for storing lines for lows
var array<line> liquidity_lines_high = array.new<line>(500) // Array for storing lines for highs
var float up_trend_volume = na // Volume accumulated during uptrend
var float down_trend_volume = na // Volume accumulated during downtrend
// }
// ＦＵＮＣＴＩＯＮＳ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Define vd (Variable Index Dynamic Average) function
vd_calc(src, vd_length, vd_momentum) =>
float momentum = ta.change(src)
float sum_pos_momentum = math.sum(momentum >= 0 ? momentum : 0.0, vd_momentum)
float sum_neg_momentum = math.sum(momentum >= 0 ? 0.0 : -momentum, vd_momentum)
float abs_cmo = math.abs(100 * (sum_pos_momentum - sum_neg_momentum) / (sum_pos_momentum + sum_neg_momentum))
float alpha = 2 / (vd_length + 1)
var float vd_value = 0.0
vd_value := alpha * abs_cmo / 100 * src + (1 - alpha * abs_cmo / 100) * nz(vd_value[1])
ta.sma(vd_value, 15)
// Method to extend lines and add labels for liquidity levels
method extend_liquidity_lines(array<line> line_array, float price_level, bool is_cross, volume_val) =>
if line_array.size() > 0 and last_bar_index - bar_index < 5000
for i = 0 to line_array.size() - 1 by 1
if i < line_array.size()
line liquidity_line = line_array.get(i)
float current_line_level = line.get_y2(liquidity_line)
bool price_cross = is_cross ? price_level < current_line_level and price_level[1] >= current_line_level : price_level > current_line_level and price_level[1] <= current_line_level
bool is_short_line = bar_index - line.get_x1(liquidity_line) < 50
if price_cross and is_short_line
line.set_x2(liquidity_line, bar_index)
line_array.remove(i)
// Add volume label to the liquidity zone
label.new(bar_index - 1, price_level[1], str.tostring(volume_val, format.volume), color = color.rgb(0, 0, 0, 99), style = is_cross ? label.style_label_lower_left : label.style_label_upper_left, textcolor = chart.fg_color, size = size.small)
// Add a circle label to represent liquidity zone
label.new(bar_index - 1, price_level[1], text = '◉', color = #00000003, textcolor = is_cross ? down_trend_color : up_trend_color, style = label.style_label_center, size = size.normal)
// }
// ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Calculate the Average True Range (ATR)
float atr_value = ta.atr(200) // ATR calculation with length of 200
// Calculate the vd (Variable Index Dynamic Average)
vd_value = vd_calc(source, vd_length, vd_momentum)
// Calculate upper and lower bands based on vd and ATR
float upper_band = vd_value + atr_value * band_distance
float lower_band = vd_value - atr_value * band_distance
// Detect trend direction using crossovers of source with bands
if ta.crossover(source, upper_band)
is_trend_up := true
is_trend_up
if ta.crossunder(source, lower_band)
is_trend_up := false
is_trend_up
// Set trend-based smoothing variable
if is_trend_up
smoothed_value := lower_band
smoothed_value
if not is_trend_up
smoothed_value := upper_band
smoothed_value
if ta.change(is_trend_up)
smoothed_value := na
smoothed_value
// Calculate pivot highs and lows for price action
bool pivot_high = not na(ta.pivothigh(pivot_left_bars, pivot_right_bars))
bool pivot_low = not na(ta.pivotlow(close, pivot_left_bars, pivot_right_bars))
// Create and store lines for pivot lows (support zones)
if low[pivot_right_bars] > smoothed_value and pivot_low
pivot_line := line.new(bar_index[pivot_right_bars], low[pivot_right_bars], bar_index[pivot_right_bars] + 5, low[pivot_right_bars], color = color.new(up_trend_color, 50))
liquidity_lines_low.push(pivot_line)
volume_value := math.sum(volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars)
volume_value
// Create and store lines for pivot highs (resistance zones)
if high[pivot_right_bars] < smoothed_value and pivot_high
pivot_line := line.new(bar_index[pivot_right_bars], high[pivot_right_bars], bar_index[pivot_right_bars] + 5, high[pivot_right_bars], color = color.new(down_trend_color, 50))
liquidity_lines_high.push(pivot_line)
volume_value := math.sum(-volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars)
volume_value
// Extend lines to track price movements
liquidity_lines_high.extend_liquidity_lines(smoothed_value, true, volume_value)
liquidity_lines_low.extend_liquidity_lines(smoothed_value, false, volume_value)
// Detect changes in the trend direction
bool trend_cross_up = not is_trend_up[1] and is_trend_up
bool trend_cross_down = not is_trend_up and is_trend_up[1]
// Reset volume counters when trend changes
if ta.change(trend_cross_up) or ta.change(trend_cross_down)
up_trend_volume := 0
down_trend_volume := 0
down_trend_volume
// Accumulate volume during trends
if not(ta.change(trend_cross_up) or ta.change(trend_cross_down))
up_trend_volume := up_trend_volume + (close > open ? volume : 0)
down_trend_volume := down_trend_volume + (close < open ? volume : 0)
down_trend_volume
// Calculate average volume
float avg_volume_Drift = (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 Drift volume percentage
string Drift_volume = str.tostring((up_trend_volume - down_trend_volume) / avg_volume_Drift * 100, format.percent) == 'NaN%' ? '0%' : str.tostring((up_trend_volume - down_trend_volume) / avg_volume_Drift * 100, format.percent)
// }
// ＰＬＯＴ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Display labels for volume and trend statistics on the last bar
if barstate.islast
label.delete(label.new(bar_index, smoothed_value, 'Buy: ' + str.tostring(up_trend_volume, format.volume) + '\n Sell: ' + str.tostring(down_trend_volume, format.volume) + '\nDrift Volume: ' + Drift_volume, color = color.new(trend_color, 90), style = is_trend_up ? label.style_label_upper_left : label.style_label_lower_left, textcolor = chart.fg_color)[1])
label.delete(label.new(bar_index, smoothed_value, text = '✪', color = #00000003, textcolor = trend_color, style = label.style_label_center, size = size.large)[1])
// Plot the vd 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 vd 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)
// }
// creativecommons.org/licenses/by-nc-sa/4.0/
// © BigBeluga
//version=6
indicator('Volatility Drift [7 Dreams India Official]', 'Volatility Drift [7DIO]', overlay = true, max_lines_count = 500, max_labels_count = 500)
// ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Input parameters for length, momentum, and source data
int vd_length = input.int(10, 'VD Length') // Length of the VD calculation
int vd_momentum = input.int(20, 'VD Momentum') // Momentum length for VD
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 vd 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 vd trend levels
var bool is_trend_up = false // Boolean variable for tracking trend direction
// Initialize arrays for storing line and volume information
var array<line> liquidity_lines_low = array.new<line>(500) // Array for storing lines for lows
var array<line> liquidity_lines_high = array.new<line>(500) // Array for storing lines for highs
var float up_trend_volume = na // Volume accumulated during uptrend
var float down_trend_volume = na // Volume accumulated during downtrend
// }
// ＦＵＮＣＴＩＯＮＳ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Define vd (Variable Index Dynamic Average) function
vd_calc(src, vd_length, vd_momentum) =>
float momentum = ta.change(src)
float sum_pos_momentum = math.sum(momentum >= 0 ? momentum : 0.0, vd_momentum)
float sum_neg_momentum = math.sum(momentum >= 0 ? 0.0 : -momentum, vd_momentum)
float abs_cmo = math.abs(100 * (sum_pos_momentum - sum_neg_momentum) / (sum_pos_momentum + sum_neg_momentum))
float alpha = 2 / (vd_length + 1)
var float vd_value = 0.0
vd_value := alpha * abs_cmo / 100 * src + (1 - alpha * abs_cmo / 100) * nz(vd_value[1])
ta.sma(vd_value, 15)
// Method to extend lines and add labels for liquidity levels
method extend_liquidity_lines(array<line> line_array, float price_level, bool is_cross, volume_val) =>
if line_array.size() > 0 and last_bar_index - bar_index < 5000
for i = 0 to line_array.size() - 1 by 1
if i < line_array.size()
line liquidity_line = line_array.get(i)
float current_line_level = line.get_y2(liquidity_line)
bool price_cross = is_cross ? price_level < current_line_level and price_level[1] >= current_line_level : price_level > current_line_level and price_level[1] <= current_line_level
bool is_short_line = bar_index - line.get_x1(liquidity_line) < 50
if price_cross and is_short_line
line.set_x2(liquidity_line, bar_index)
line_array.remove(i)
// Add volume label to the liquidity zone
label.new(bar_index - 1, price_level[1], str.tostring(volume_val, format.volume), color = color.rgb(0, 0, 0, 99), style = is_cross ? label.style_label_lower_left : label.style_label_upper_left, textcolor = chart.fg_color, size = size.small)
// Add a circle label to represent liquidity zone
label.new(bar_index - 1, price_level[1], text = '◉', color = #00000003, textcolor = is_cross ? down_trend_color : up_trend_color, style = label.style_label_center, size = size.normal)
// }
// ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Calculate the Average True Range (ATR)
float atr_value = ta.atr(200) // ATR calculation with length of 200
// Calculate the vd (Variable Index Dynamic Average)
vd_value = vd_calc(source, vd_length, vd_momentum)
// Calculate upper and lower bands based on vd and ATR
float upper_band = vd_value + atr_value * band_distance
float lower_band = vd_value - atr_value * band_distance
// Detect trend direction using crossovers of source with bands
if ta.crossover(source, upper_band)
is_trend_up := true
is_trend_up
if ta.crossunder(source, lower_band)
is_trend_up := false
is_trend_up
// Set trend-based smoothing variable
if is_trend_up
smoothed_value := lower_band
smoothed_value
if not is_trend_up
smoothed_value := upper_band
smoothed_value
if ta.change(is_trend_up)
smoothed_value := na
smoothed_value
// Calculate pivot highs and lows for price action
bool pivot_high = not na(ta.pivothigh(pivot_left_bars, pivot_right_bars))
bool pivot_low = not na(ta.pivotlow(close, pivot_left_bars, pivot_right_bars))
// Create and store lines for pivot lows (support zones)
if low[pivot_right_bars] > smoothed_value and pivot_low
pivot_line := line.new(bar_index[pivot_right_bars], low[pivot_right_bars], bar_index[pivot_right_bars] + 5, low[pivot_right_bars], color = color.new(up_trend_color, 50))
liquidity_lines_low.push(pivot_line)
volume_value := math.sum(volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars)
volume_value
// Create and store lines for pivot highs (resistance zones)
if high[pivot_right_bars] < smoothed_value and pivot_high
pivot_line := line.new(bar_index[pivot_right_bars], high[pivot_right_bars], bar_index[pivot_right_bars] + 5, high[pivot_right_bars], color = color.new(down_trend_color, 50))
liquidity_lines_high.push(pivot_line)
volume_value := math.sum(-volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars)
volume_value
// Extend lines to track price movements
liquidity_lines_high.extend_liquidity_lines(smoothed_value, true, volume_value)
liquidity_lines_low.extend_liquidity_lines(smoothed_value, false, volume_value)
// Detect changes in the trend direction
bool trend_cross_up = not is_trend_up[1] and is_trend_up
bool trend_cross_down = not is_trend_up and is_trend_up[1]
// Reset volume counters when trend changes
if ta.change(trend_cross_up) or ta.change(trend_cross_down)
up_trend_volume := 0
down_trend_volume := 0
down_trend_volume
// Accumulate volume during trends
if not(ta.change(trend_cross_up) or ta.change(trend_cross_down))
up_trend_volume := up_trend_volume + (close > open ? volume : 0)
down_trend_volume := down_trend_volume + (close < open ? volume : 0)
down_trend_volume
// Calculate average volume
float avg_volume_Drift = (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 Drift volume percentage
string Drift_volume = str.tostring((up_trend_volume - down_trend_volume) / avg_volume_Drift * 100, format.percent) == 'NaN%' ? '0%' : str.tostring((up_trend_volume - down_trend_volume) / avg_volume_Drift * 100, format.percent)
// }
// ＰＬＯＴ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Display labels for volume and trend statistics on the last bar
if barstate.islast
label.delete(label.new(bar_index, smoothed_value, 'Buy: ' + str.tostring(up_trend_volume, format.volume) + '\n Sell: ' + str.tostring(down_trend_volume, format.volume) + '\nDrift Volume: ' + Drift_volume, color = color.new(trend_color, 90), style = is_trend_up ? label.style_label_upper_left : label.style_label_lower_left, textcolor = chart.fg_color)[1])
label.delete(label.new(bar_index, smoothed_value, text = '✪', color = #00000003, textcolor = trend_color, style = label.style_label_center, size = size.large)[1])
// Plot the vd 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 vd 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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The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.