1. Introduction
The Smooth Price Oscillator (SPO) is a technical indicator designed to smooth and normalize price variations within a defined range. Unlike traditional oscillators, the SPO applies advanced smoothing and standard deviation techniques to provide clearer signals, less prone to market noise.
The primary goal of the SPO is to help traders identify reversal points and confirm trends with greater precision. This makes it an ideal tool for those seeking a balance between sensitivity and reliability in their chart analysis.
2. Fundamentals of the SPO
The SPO combines two smoothed price lines: one long and one short. These lines are derived from mathematical techniques based on exponential smoothing to eliminate market noise. The difference between these lines generates the central oscillator.
One of the most notable features of the SPO is the normalization of the oscillator using its standard deviation, along with the inclusion of deviation bands. This simplifies visual interpretation by providing dynamic upper and lower bounds.
In summary, the SPO is based on:
- Smoothing price data.
- Normalization using standard deviation.
- Creating dynamic bands to frame the oscillator.
3. Calculating the SPO
The calculation of the Smooth Price Oscillator is done in several steps:
- Smoothed long line: Calculated using a longer smoothing period to represent long-term market trends.
- Smoothed short line: Uses a shorter period to capture more immediate movements.
- Oscillator: Obtained as the difference between the short and long lines.
- Normalization: The oscillator value is divided by its maximum observed standard deviation over a defined period.
- Upper and lower bands: Calculated using the mean and standard deviation of the normalized oscillator, creating a visual framework to assess extremes.
4. Interpretation and Usage
The SPO provides several ways to interpret data and make trading decisions:
- Identifying reversal points:
- Crosses of the oscillator with the upper or lower threshold (positive or negative).
- Signals generated when the oscillator changes direction within the bands.
- Confirming trends:
- Normalized oscillator staying at extreme values (positive or negative) for a prolonged period.
- Alignment with other indicators like moving averages or RSI.
The oscillator colors provide intuitive visual guidance:
- Blue shades for positive values.
- Orange shades for negative values.
5. Configuring the SPO in ProRealTime
The SPO allows adjustment of several parameters to suit different trading styles and markets:
- Smoothing length (
lenSmooth): Controls the smoothing period for the long and short lines. - Threshold (
threshold): Defines the key overbought or oversold levels for generating signals. - Standard deviation length (
lenStd): Determines the period used to calculate the oscillator’s standard deviation.
Configuration Tips:
- For intraday trading strategies, use lower values for
lenSmoothto capture quick movements. - For long-term strategies, increase
lenSmoothto avoid false signals. - Adjust the
thresholdto match the volatility of the asset being analyzed.
6. Conclusion
The Smooth Price Oscillator is a versatile tool that balances sensitivity and reliability in technical analysis. Its ability to filter market noise and provide clear signals makes it ideal for both novice and experienced traders.
Advantages:
- Noise reduction through advanced smoothing.
- Easy visualization with colors and dynamic bands.
- Applicable to multiple time horizons and trading styles.
Limitations:
- May react with delays in highly volatile markets.
- Requires appropriate parameter adjustment based on market context.
The SPO is particularly useful in trending markets or assets with predictable movements, offering clear and visually appealing signals for more efficient decision-making.
7. ProBuilder Code
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//-------------------------------------------------// //PRC Smooth Price Oscillator //version = 0 //26.11.2024 //Iván González @ www.prorealcode.com //Sharing ProRealTime knowledge //-------------------------------------------------// // inputs //-------------------------------------------------// lenSmooth=20 threshold=1 lenStd=50 pi=3.1416 //-------------------------------------------------// // Smoothed Line Long Calculation //-------------------------------------------------// periodL=2*Lensmooth stepL=2*pi/periodL a1L=exp(-sqrt(2)*pi/periodL) b1L=2*a1L*cos((sqrt(2)*stepL/periodL)*180/pi) c2L=b1L c3L=-a1L*a1L c1L=1-c2L-c3L if barindex<4 then LineLong=close else LineLong=c1L*(close+close[1])/2+c2L*LineLong[1]+c3L*LineLong[2] endif //-------------------------------------------------// // Smoothed Line Short Calculation //-------------------------------------------------// periodS=Lensmooth stepS=2*pi/periodS a1S=exp(-sqrt(2)*pi/periodS) b1S=2*a1S*cos((sqrt(2)*stepL/periodS)*180/pi) c2S=b1S c3S=-a1S*a1S c1S=1-c2S-c3S if barindex<4 then LineShort=close else LineShort=c1S*(close+close[1])/2+c2S*LineShort[1]+c3S*LineShort[2] endif //-------------------------------------------------// // Oscillator Calculation //-------------------------------------------------// oscillator = LineShort-LineLong //-------------------------------------------------// // Standard deviation for the Oscillator //-------------------------------------------------// stdevOsc=std[lenStd](oscillator) //-------------------------------------------------// // normalize the Oscillator //-------------------------------------------------// MaxstdevOsc=highest[lenStd](stdevOsc) normalizedOsc=hullaverage[30](oscillator/MaxstdevOsc) if normalizedOsc> 0 then r=0 g=188 b=212 else r=255 g=152 b=0 endif if barindex>2*lenStd+31 then colorbetween(normalizedOsc,0,r,g,b,100) endif //-------------------------------------------------// // Bands for the oscillator //-------------------------------------------------// basis=average[250,1](normalizedOsc) deviation=2*std[250](normalizedOsc) upperband=basis+deviation lowerband=basis-deviation //-------------------------------------------------// // Signals //-------------------------------------------------// signalup=normalizedOsc<-threshold and normalizedOsc>normalizedOsc[1] and normalizedOsc[1]<normalizedOsc[2] signaldown=normalizedOsc>threshold and normalizedOsc<normalizedOsc[1] and normalizedOsc[1]>normalizedOsc[2] if signalup then drawpoint(barindex,normalizedOsc,2)coloured("aqua") elsif signaldown then drawpoint(barindex,normalizedOsc,2)coloured("orange") endif //-------------------------------------------------// return normalizedOsc as "Normalized Oscillator" coloured("darkblue")style(line,2),upperband as "UpperBand" coloured("grey"),lowerband as "LowerBand" coloured("grey"), threshold as "+Treshold"coloured("GREY"),-threshold as "-Treshold"coloured("GREY") |
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