Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga]
Introduction to Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga]
The Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga] is a sophisticated trading strategy that combines the principles of technical analysis, volatility, and index dynamic average to generate buy and sell signals. This strategy is designed to help traders navigate the complex and ever-changing markets, providing a competitive edge in today's fast-paced trading environment.
Core Logic of Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga]
The core logic of the Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga] strategy revolves around the concept of volatility and its impact on market trends. The strategy uses a combination of technical indicators, including the Variable Index Dynamic Average (VIDYA) and the Volumatic indicator, to measure volatility and identify potential trading opportunities.
Key Components of the Strategy
- Variable Index Dynamic Average (VIDYA): The VIDYA is a volatility-based indicator that measures the dynamic average of an asset's price over a given period. It takes into account the asset's historical volatility and adjusts the average accordingly.
- Volumatic Indicator: The Volumatic indicator is a volume-based indicator that measures the buying and selling pressure in the market. It helps to identify trends and potential reversals.
- Modjoy Formula: The Modjoy formula is a proprietary formula that combines the VIDYA and Volumatic indicators to generate buy and sell signals. The formula takes into account various market parameters, including volatility, trend, and market sentiment.
Trading Strategy and Implementation
The Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga] strategy can be implemented in various markets, including stocks, futures, and forex. The strategy involves the following steps:
Long Entry
- Identify an uptrend in the market using the VIDYA indicator.
- Confirm the uptrend using the Volumatic indicator.
- Apply the Modjoy formula to generate a buy signal.
- Enter a long position at the next available price level.
Short Entry
- Identify a downtrend in the market using the VIDYA indicator.
- Confirm the downtrend using the Volumatic indicator.
- Apply the Modjoy formula to generate a sell signal.
- Enter a short position at the next available price level.
Conclusion
The Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga] strategy is a powerful tool for traders looking to navigate the complex markets. By combining the principles of technical analysis, volatility, and index dynamic average, this strategy provides a unique approach to generating buy and sell signals. With its ability to adapt to changing market conditions, the Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga] strategy is an essential component of any trader's toolkit.
Recommendations
To get the most out of the Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga] strategy, we recommend the following:
Risk Management
Implement a robust risk management system to limit potential losses and maximize gains.
Market Analysis
Conduct thorough market analysis to identify trends and potential trading opportunities.
Strategy Optimization
Continuously monitor and optimize the strategy to ensure it remains effective in changing market conditions.
Modjoy Exclusive Source Code:
// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
//@version=6
indicator('Modjoy-Volumatic Variable Index Dynamic Average [BigBeluga]', 'Volumatic VIDYA [BigBeluga]', overlay = true, max_lines_count = 500, max_labels_count = 500)
// INPUTS ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Input parameters for length, momentum, and source data
int vidya_length = input.int(10, 'VIDYA Length') // Length of the VIDYA calculation
int vidya_momentum = input.int(20, 'VIDYA Momentum') // Momentum length for VIDYA
float band_distance = input.float(2, 'Distance factor for upper/lower bands', step = 0.1) // Distance factor for upper/lower bands
// Define pivot parameters
int pivot_left_bars = 3 // Left side pivot bars
int pivot_right_bars = pivot_left_bars // Right side pivot bars
float source = input.source(close, 'Source') // Source for VIDYA calculation
// Define colors for up and down trends
color up_trend_color = input(#17dfad, '+', group = 'Color', inline = 'c') // Color for uptrend
color down_trend_color = input(#dd326b, '-', group = 'Color', inline = 'c') // Color for downtrend
bool shadow = input.bool(true, 'Shadow', group = 'Color', inline = 'c')
// Initialize variables for line, volume, and trend state
var line pivot_line = na // Variable for storing line references
var float volume_value = na // Variable for storing volume data
float smoothed_value = na // Smoothing variable for VIDYA trend levels
var bool is_trend_up = false // Boolean variable for tracking trend direction
// Initialize arrays for storing line and volume information
var array liquidity_lines_low = array.new(500) // Array for storing lines for lows
var array liquidity_lines_high = array.new(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_array, float price_level, bool is_cross, volume_val) =>
if line_array.size() > 0 and last_bar_index - bar_index < 5000
for i = 0 to line_array.size() - 1 by 1
if i < line_array.size()
line liquidity_line = line_array.get(i)
float current_line_level = line.get_y2(liquidity_line)
bool price_cross = is_cross ? price_level < current_line_level and price_level[1] >= current_line_level : price_level > current_line_level and price_level[1] <= current_line_level
bool is_short_line = bar_index - line.get_x1(liquidity_line) < 50
if price_cross and is_short_line
line.set_x2(liquidity_line, bar_index)
line_array.remove(i)
// Add volume label to the liquidity zone
label.new(bar_index - 1, price_level[1], str.tostring(volume_val, format.volume), color = color.rgb(0, 0, 0, 99), style = is_cross ? label.style_label_lower_left : label.style_label_upper_left, textcolor = chart.fg_color, size = size.small)
// Add a circle label to represent liquidity zone
label.new(bar_index - 1, price_level[1], text = '◉', color = #00000003, textcolor = is_cross ? down_trend_color : up_trend_color, style = label.style_label_center, size = size.normal)
// }
// CALCULATIONS――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Calculate the Average True Range (ATR)
float atr_value = ta.atr(200) // ATR calculation with length of 200
// Calculate the VIDYA (Variable Index Dynamic Average)
vidya_value = vidya_calc(source, vidya_length, vidya_momentum)
// Calculate upper and lower bands based on VIDYA and ATR
float upper_band = vidya_value + atr_value * band_distance
float lower_band = vidya_value - atr_value * band_distance
// Detect trend direction using crossovers of source with bands
if ta.crossover(source, upper_band)
is_trend_up := true
is_trend_up
if ta.crossunder(source, lower_band)
is_trend_up := false
is_trend_up
// Set trend-based smoothing variable
if is_trend_up
smoothed_value := lower_band
smoothed_value
if not is_trend_up
smoothed_value := upper_band
smoothed_value
if ta.change(is_trend_up)
smoothed_value := na
smoothed_value
// Calculate pivot highs and lows for price action
bool pivot_high = not na(ta.pivothigh(pivot_left_bars, pivot_right_bars))
bool pivot_low = not na(ta.pivotlow(close, pivot_left_bars, pivot_right_bars))
// Create and store lines for pivot lows (support zones)
if low[pivot_right_bars] > smoothed_value and pivot_low
pivot_line := line.new(bar_index[pivot_right_bars], low[pivot_right_bars], bar_index[pivot_right_bars] + 5, low[pivot_right_bars], color = color.new(up_trend_color, 50))
liquidity_lines_low.push(pivot_line)
volume_value := math.sum(volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars)
volume_value
// Create and store lines for pivot highs (resistance zones)
if high[pivot_right_bars] < smoothed_value and pivot_high
pivot_line := line.new(bar_index[pivot_right_bars], high[pivot_right_bars], bar_index[pivot_right_bars] + 5, high[pivot_right_bars], color = color.new(down_trend_color, 50))
liquidity_lines_high.push(pivot_line)
volume_value := math.sum(-volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars)
volume_value
// Extend lines to track price movements
liquidity_lines_high.extend_liquidity_lines(smoothed_value, true, volume_value)
liquidity_lines_low.extend_liquidity_lines(smoothed_value, false, volume_value)
// Detect changes in the trend direction
bool trend_cross_up = not is_trend_up[1] and is_trend_up
bool trend_cross_down = not is_trend_up and is_trend_up[1]
// Reset volume counters when trend changes
if ta.change(trend_cross_up) or ta.change(trend_cross_down)
up_trend_volume := 0
down_trend_volume := 0
down_trend_volume
// Accumulate volume during trends
if not(ta.change(trend_cross_up) or ta.change(trend_cross_down))
up_trend_volume := up_trend_volume + (close > open ? volume : 0)
down_trend_volume := down_trend_volume + (close < open ? volume : 0)
down_trend_volume
// Calculate average volume
float avg_volume_delta = (up_trend_volume + down_trend_volume) / 2
// Determine the color of the trend
color trend_color = is_trend_up ? up_trend_color : not is_trend_up ? down_trend_color : chart.fg_color
// Calculate delta volume percentage
string delta_volume = str.tostring((up_trend_volume - down_trend_volume) / avg_volume_delta * 100, format.percent) == 'NaN%' ? '0%' : str.tostring((up_trend_volume - down_trend_volume) / avg_volume_delta * 100, format.percent)
// }
// PLOT ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Display labels for volume and trend statistics on the last bar
if barstate.islast
label.delete(label.new(bar_index, smoothed_value, 'Buy: ' + str.tostring(up_trend_volume, format.volume) + '\n Sell: ' + str.tostring(down_trend_volume, format.volume) + '\nDelta Volume: ' + delta_volume, color = color.new(trend_color, 90), style = is_trend_up ? label.style_label_upper_left : label.style_label_lower_left, textcolor = chart.fg_color)[1])
label.delete(label.new(bar_index, smoothed_value, text = '✪', color = #00000003, textcolor = trend_color, style = label.style_label_center, size = size.large)[1])
// Plot the VIDYA trend line
p1 = plot(smoothed_value, color = trend_color, linewidth = 2, style = plot.style_linebr)
p2 = plot(hl2, display = display.none)
// Fill between the plot and the VIDYA line
fill(p1, p2, smoothed_value, hl2, color.new(trend_color, shadow ? 80 : 100), na)
// Plot trend change markers (up and down arrows)
plotshape(series = trend_cross_up[1] ? smoothed_value[0] : na, title = 'Trend Up', style = shape.labelup, location = location.absolute, color = color.new(up_trend_color, 50), text = '▲', textcolor = chart.fg_color)
plotshape(series = trend_cross_down[1] ? smoothed_value[0] : na, title = 'Trend Down', style = shape.labeldown, location = location.absolute, color = color.new(down_trend_color, 50), text = '▼', textcolor = chart.fg_color)
// }
⚠️ High Risk Warning
Trading Forex and Futures involves a very high degree of risk and may not be suitable for all investors. The high degree of leverage can result in the complete loss of your funds. These indicators are educational tools and do not guarantee profits. Please trade responsibly with capital you can afford to lose.