Modjoy-Smooth Price Oscillator [BigBeluga]
Modjoy-Smooth Price Oscillator: A Comprehensive Guide to BigBeluga's Trading Strategy
The Modjoy-Smooth Price Oscillator, developed by BigBeluga, is a sophisticated trading tool designed to help traders navigate the complexities of the financial markets. This article delves into the core logic and trading strategy behind this innovative oscillator, providing traders with a deeper understanding of its applications and potential benefits.
Understanding the Core Logic of the Modjoy-Smooth Price Oscillator
The Modjoy-Smooth Price Oscillator is built on the principles of momentum and smooth pricing, aiming to reduce the noise and volatility of traditional price oscillators. By incorporating a smoothing function, this indicator helps traders identify more reliable trend reversals and continuations. The core logic can be broken down into the following components:
- Price Smoothing: The oscillator uses a proprietary smoothing algorithm to reduce the impact of short-term price fluctuations, resulting in a more stable and reliable signal.
- Momentum Calculation: The Modjoy-Smooth Price Oscillator calculates the momentum of the smoothed price, allowing traders to gauge the strength and direction of the trend.
- Oscillator Construction: The final oscillator is constructed by plotting the smoothed price momentum against a baseline value, creating a visual representation of the trend's strength and direction.
Trading Strategy with the Modjoy-Smooth Price Oscillator
Traders can utilize the Modjoy-Smooth Price Oscillator as a standalone indicator or in combination with other technical analysis tools. The following trading strategy is based on the oscillator's signals:
- Trend Reversal Identification: When the oscillator crosses above or below the baseline value, it may indicate a potential trend reversal. Traders can use this signal to enter long or short positions, depending on the direction of the cross.
- Trend Continuation: If the oscillator remains above or below the baseline value, it may confirm the ongoing trend. Traders can use this signal to adjust their positions or add to existing trades.
- Signal Confirmation: To increase the accuracy of the trading strategy, traders can combine the Modjoy-Smooth Price Oscillator with other technical indicators, such as moving averages or relative strength index (RSI).
Trading Tips and Considerations for the Modjoy-Smooth Price Oscillator
While the Modjoy-Smooth Price Oscillator can be a valuable addition to a trader's toolkit, it is essential to keep the following considerations in mind:
- Risk Management: As with any trading strategy, proper risk management techniques should be employed to minimize potential losses.
- Time Frame Selection: The Modjoy-Smooth Price Oscillator can be applied to various time frames, but traders should choose a time frame that aligns with their trading goals and risk tolerance.
- Combination with Other Indicators: Traders can experiment with combining the Modjoy-Smooth Price Oscillator with other technical indicators to create a more comprehensive trading strategy.
Conclusion
The Modjoy-Smooth Price Oscillator, developed by BigBeluga, offers traders a sophisticated tool for navigating the complexities of the financial markets. By understanding the core logic and trading strategy behind this oscillator, traders can leverage its potential benefits and improve their overall trading performance. Remember to always combine the Modjoy-Smooth Price Oscillator with proper risk management and other technical analysis tools to maximize its effectiveness.
Modjoy Exclusive Source Code:
MODJOY-SMOOTH PRICE OSCILLATOR [BIGBELUGA] SOURCE CODE
// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
//@version=5
indicator("Modjoy-Smooth Price Oscillator [BigBeluga]")
// ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Input variables for length and threshold
int len_smooth = input.int(20, "Smoothing Length")
float threshold = input.float(1, "Threshold", step = 0.1)
// Length for calculating standard deviation
int len_std = 50
// Create an array to store standard deviation values
float[] std_array = array.new(len_std)
// }
// ＦＵＮＣＴＩＯＮＳ ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// @function SuperSmoother filter based on Ehlers Filter
// @param price (float) The price series to be smoothed
// @param period (int) The smoothing period
// @returns [float] Smoothed price
method smoother_F(float price, int period) =>
float step = 2.0 * math.pi / period
float a1 = math.exp(-math.sqrt(2) * math.pi / period)
float b1 = 2 * a1 * math.cos(math.sqrt(2) * step / period)
float c2 = b1
float c3 = -a1 * a1
float c1 = 1 - c2 - c3
float smoothed = 0.0
smoothed := bar_index >= 4
? c1 * (price + price[1]) / 2 + c2 * smoothed[1] + c3 * smoothed[2]
: price
smoothed
// }
// ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Smoothing lines using the SuperSmoother function
float line_long = close.smoother_F(len_smooth * 2)
float line_short = close.smoother_F(len_smooth)
// Oscillator calculation
float oscillator = line_short - line_long
// Standard deviation for the oscillator
float stdev_osc = ta.stdev(oscillator, len_std)
// Populate standard deviation values into the array
for int i = 0 to len_std - 1
array.set(std_array, i, stdev_osc[i])
// Shift array if size exceeds len_std
if array.size(std_array) >= len_std
array.shift(std_array)
// Normalize the oscillator using the maximum value from the standard deviation array
float normalized_osc = ta.hma(oscillator / array.max(std_array), 30)
// Bands for the oscillator
float basis = ta.ema(normalized_osc, 250)
float deviation = 2 * ta.stdev(normalized_osc, 250)
float upper_band = basis + deviation
float lower_band = basis - deviation
// }
// ＰＬＯＴ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Plot the upper and lower bands
plot(upper_band, color = color.gray, editable = false)
plot(lower_band, color = color.gray, editable = false)
// Plot horizontal lines and fill regions
p1 = plot(threshold, color = #787b867e, editable = false)
p_1 = plot(-threshold, color = #787b867e, editable = false)
p0 = plot(0, color = color.gray, editable = false)
p4 = plot(4, display = display.none, editable = false)
p_4 = plot(-4, display = display.none, editable = false)
plot_osc = plot(normalized_osc, color = chart.fg_color, editable = false)
// Fill bands
fill(p0, p1, threshold, 0, na, color.new(#278ed3, 70), editable = false)
fill(p0, p_1, 0, -threshold, color.new(#278ed3, 70), na, editable = false)
fill(p_1, p_4, -threshold, -4, na, color.new(color.aqua, 70), editable = false)
fill(p1, p4, 4, threshold, color.new(color.orange, 70), na, editable = false)
fill(p0, plot_osc, normalized_osc, 0, normalized_osc > 0 ? color.aqua : na, na, editable = false)
fill(p0, plot_osc, normalized_osc, 0, normalized_osc < 0 ? color.orange : na, na, editable = false)
// }
// ＳＩＧＮＡＬＳ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
// Buy/Sell signal conditions
bool signal_up = normalized_osc <-threshold and ta.crossover(normalized_osc, normalized_osc[1])
bool signal_dn = normalized_osc > threshold and ta.crossover(normalized_osc[1], normalized_osc)
// Remove old labels and create new labels for threshold values
if barstate.islast
label.delete(
label.new(
bar_index, threshold, "+" + str.tostring(threshold),
color = color(na),
textcolor = chart.fg_color,
style = label.style_label_left
)[1]
)
label.delete(
label.new(
bar_index, -threshold, str.tostring(-threshold),
color = color(na),
textcolor = chart.fg_color,
style = label.style_label_left
)[1]
)
label.delete(
label.new(
bar_index, 0, "Neutral",
color = color(na),
textcolor = color.gray,
style = label.style_label_left
)[1]
)
label.delete(
label.new(
bar_index, upper_band, "Overbought",
color = color(na),
textcolor = color.orange,
style = label.style_label_left
)[1]
)
label.delete(
label.new(
bar_index, lower_band, "Oversold",
color = color(na),
textcolor = color.aqua,
style = label.style_label_left
)[1]
)
// Plot chart signals for mean reversion
plotshape(signal_dn and normalized_osc < upper_band,
location = location.abovebar,
style = shape.xcross,
size = size.tiny,
text = "↷",
textcolor = chart.fg_color,
color = color.orange,
title = "Mean Reversion Down",
force_overlay = true
)
plotshape(signal_dn and normalized_osc > upper_band,
location = location.abovebar,
style = shape.xcross,
size = size.tiny,
text = "+\n↷",
textcolor = chart.fg_color,
color = color.orange,
title = "Strong Mean Reversion Down",
force_overlay = true
)
plotshape(signal_up and normalized_osc < lower_band,
location = location.belowbar,
style = shape.circle,
size = size.tiny,
text = "⤻\n+",
textcolor = chart.fg_color,
color = color.aqua,
title = "Strong Mean Reversion Up",
force_overlay = true
)
plotshape(signal_up and normalized_osc > lower_band,
location = location.belowbar,
style = shape.circle,
size = size.tiny,
text = "⤻",
textcolor = chart.fg_color,
color = color.aqua,
title = "Mean Reversion Up",
force_overlay = true
)
// Plot oscillator signals at exact levels
plotshape(
series = signal_up ? normalized_osc[1] : na,
title = "",
style = shape.circle,
location = location.absolute,
size = size.tiny,
color = color.aqua,
force_overlay = false,
offset = -1
)
plotshape(
series = signal_dn ? normalized_osc[1] : na,
title = "",
style = shape.xcross,
location = location.absolute,
size = size.tiny,
color = color.orange,
force_overlay = false,
offset = -1
)
// }
⚠️ 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.