Oscillator Moving Average (OsMA)This code for Oscillator of Moving Averages (OsMA) is based on MACD 4C indicator code published by vkno422 . Many thanks to vkno422. I have borrowed the concept of 4 colours which I find very useful.
For those who are not familiar with OsMA, it is histogram of difference between MACD (oscillator) and its MA (signal line). The zero line cross over of this indicator is used in many strategies.
This version includes MACD & its signal line together with OsMA histogram. I have programmed flexibility for switching OFF/ON individual indicator components as well as changing the periods for various moving averages.
I am dedicating this indicator to the TV trading community hoping that people will find it useful.
ค้นหาในสคริปต์สำหรับ "oscillator"
DEMA HMA Z-score OscillatorThis custom oscillator combines the power of the Hull Moving Average (HMA) with the Z-Score to identify momentum shifts and potential trend reversals. The Z-Score measures how far the current HMA is from its historical mean, helping to spot overbought or oversold conditions.
Uptrend: Long signals are generated when the Z-Score crosses above the defined Long Threshold.
Downtrend: Short signals are triggered when the Z-Score drops below the Short Threshold.
Visuals: The Z-Score is plotted along with background color changes and fills to clearly indicate trend strength. Green fills highlight uptrends, while pink fills indicate downtrends.
Alerts: Alerts are available for both long and short conditions based on Z-Score crossovers.
Customizable Inputs:
HMA Length
Smoothing Length (for DEMA)
Z-Score Length
Long and Short Thresholds
This indicator is ideal for detecting momentum shifts, confirming trend strength, and helping to time entry/exit points in your trading strategy.
RSI Wave Function Ultimate OscillatorEnglish Explanation of the "RSI Wave Function Ultimate Oscillator" Pine Script Code
Understanding the Code
Purpose:
This Pine Script code creates a custom indicator that combines the Relative Strength Index (RSI) with a wave function to potentially provide more nuanced insights into market dynamics.
Key Components:
* Wave Function: This is a custom calculation that introduces a sinusoidal wave component to the price data. The frequency parameter controls the speed of the oscillation, and the decay factor determines how quickly the influence of past prices diminishes.
* Smoothed Signal: The wave function is applied to the closing price to create a smoothed signal, which is essentially a price series modulated by a sine wave.
* RSI: The traditional RSI is then calculated on this smoothed signal, providing a measure of the speed and change of price movements relative to recent price changes.
Calculation Steps:
* Wave Function Calculation:
* A sinusoidal wave is generated based on the bar index and the frequency parameter.
* The wave is combined with the closing price using a weighted average, where the decay factor determines the weight given to previous values.
* RSI Calculation:
* The RSI is calculated on the smoothed signal using a standard RSI formula.
* Plotting:
* The RSI values are plotted on a chart, along with horizontal lines at 70 and 30 to indicate overbought and oversold conditions.
* The area between the RSI line and the overbought/oversold lines is filled with color to visually represent the market condition.
Interpretation and Usage
* Wave Function: The wave function introduces cyclical patterns into the price data, which can help identify potential turning points or momentum shifts.
* RSI: The RSI provides a measure of the speed and change of price movements relative to recent price changes. When applied to the smoothed signal, it can help identify overbought and oversold conditions, as well as potential divergences between price and momentum.
* Combined Indicator: The combination of the wave function and RSI aims to provide a more sensitive and potentially earlier indication of market reversals.
* Signals:
* Crossovers: Crossovers of the RSI line above or below the overbought/oversold lines can be used to generate buy or sell signals.
* Divergences: Divergences between the price and the RSI can indicate a weakening trend.
* Oscillations: The amplitude and frequency of the oscillations in the RSI can provide insights into the strength and duration of market trends.
How it Reflects Market Volatility
* Amplified Volatility: The wave function can amplify the volatility of the price data, making it easier to identify potential turning points.
* Smoothing: The decay factor helps to smooth out short-term fluctuations, allowing the indicator to focus on longer-term trends.
* Sensitivity: The combination of the wave function and RSI can make the indicator more sensitive to changes in market momentum.
In essence, this custom indicator attempts to enhance traditional RSI analysis by incorporating a cyclical component that can potentially provide earlier signals of market reversals.
Note: The effectiveness of this indicator will depend on various factors, including the specific market, time frame, and the chosen values for the frequency and decay parameters. It is recommended to conduct thorough backtesting and optimize the parameters to suit your specific trading strategy.
Probabilistic Trend Oscillator** MACD PLOTS ARE NOT PART OF THE INDICATOR IT IS FOR COMPARSION**
The "Probabilistic Trend Oscillator" is a technical indicator designed to measure trend strength and direction by analyzing price behavior relative to a moving average over both long-term and short-term periods. This indicator incorporates several innovative features, including probabilistic trend detection, enhanced strength scaling, and percentile-based thresholds for identifying potential trend reversals.
Key Components
Inputs:
The indicator allows users to customize several key parameters:
EMA Length defines the period for the Exponential Moving Average (EMA), which serves as a baseline to classify trend direction.
Long and Short Term Lengths provide customizable periods for analyzing trend strength over different timeframes.
Signal Line Length is used to smooth the trend strength data, helping users spot more reliable trend signals.
Extreme Value Lookback Length controls how far back to look when calculating percentile thresholds, which are used to identify overbought and oversold zones.
Trend Classification:
The indicator categorizes price behavior into four conditions:
Green: Price closes above the open and is also above the EMA, suggesting a strong upward trend.
Red: Price closes below the open but is above the EMA, indicating weaker upward pressure.
Green1: Price closes above the open but remains below the EMA, representing weak upward movement.
Red1: Price closes below the open and the EMA, signaling a strong downward trend.
Trend Strength Calculation:
The script calculates long-term and short-term trend values based on the frequency of these trend conditions, normalizing them to create probabilistic scores.
It then measures the difference between the short-term and long-term trend values, creating a metric that reflects the intensity of the current trend. This comparison provides insight into whether the trend is strengthening or weakening.
Enhanced Trend Strength:
To emphasize significant movements, the trend strength metric is scaled by the average absolute price change (distance between close and open prices). This creates an "enhanced trend strength" value that highlights periods with high momentum.
Users can toggle between two variations of trend strength:
Absolute Trend Strength is a straightforward measure of the trend's force.
Relative Trend Strength accounts for deviations between short term and long term values, focusing on how current price action differs from a long term behavior.
Percentile-Based Thresholds:
The indicator calculates percentile thresholds over the specified lookback period to mark extreme values:
The 97th and 3rd percentiles act as overbought and oversold zones, respectively, indicating potential reversal points.
Intermediate levels (75th and 25th percentiles) are added to give additional context for overbought or oversold conditions, creating a probabilistic range.
Visualization:
The selected trend strength value (either absolute or relative) is plotted in orange.
Overbought (green) and oversold (red) percentiles are marked with dashed lines and filled in blue, highlighting potential reversal zones.
The signal line—a smoothed EMA of the trend strength—is plotted in white, helping users to confirm trend changes.
A gray horizontal line at zero acts as a baseline, further clarifying the strength of upward vs. downward trends.
Summary
This indicator provides a flexible, probabilistic approach to trend detection, allowing users to monitor trend strength with customizable thresholds and lookback periods. By combining percentile-based thresholds with enhanced trend strength scaling, it offers insights into market reversals and momentum shifts, making it a valuable tool for both trend-following and counter-trend trading strategies.
Bayesian Bias OscillatorWhat is a Bayes Estimator?
Bayesian estimation, or Bayesian inference, is a statistical method for estimating unknown parameters of a probability distribution based on observed data and prior knowledge about those parameters. At first , you will need a prior probability distribution, which is a prior belief about the distribution of the parameter that you are interested in estimating. This distribution represents your initial beliefs or knowledge about the parameter value before observing any data. Second , you need a likelihood function, which represents the probability of observing the data given different values of the parameter. This function quantifies how well different parameter values explain the observed data. Then , you will need a posterior probability distribution by combining the prior distribution and the likelihood function to obtain the posterior distribution of the parameter. The posterior distribution represents the updated belief about the parameter value after observing the data.
Bayesian Bias Oscillator
This tool calculates the Bayes bias of returns, which are directional probabilities that provide insight on the "trend" of the market or the directional bias of returns. It comes with two outputs: the default one, which is the Z-Score of the Bayes Bias, and the regular raw probability, which can be switched on in the settings of the indicator.
The Z-Score output value doesn't tell you the probability, but it does tell you how much of a standard deviation the value is from the mean. It uses both probabilities, the probability of a positive return and the probability of a negative return, which is just (1 - probability of a positive return).
The probability output value shows you the raw probability of a positive return vs. the probability of a negative return. The probability is the value of each line plotted (blue is the probability of a positive return, and purple is the probability of a negative return).
Market Trend OscillatorMarket Trend Oscillator segments the market into ranged bound and trending aspect. The threshold level segregates both types of market. With higher level, both the risk and reward lower down.
The MTO indicator, is based on Standard Deviation, difference between highest high and lowest low, ATR and ADR. There are two different volatility aspect which are:
Volatility according to the movement of one price e.g. closing price.
Volatility according to the candles.
The minimum of both these aspects gives an insight into the volatility of the market. To segregate a dynamic value with ATR and ADR is used with the threshold level. Moreover, the volatilities can be smoothed to have a smoother decision making.
Triple Trend OscillatorI developed the Triple Trend Oscillator (TTO) to combine the strengths of Supertrend, Sequential Filtered Trend, and Trend Magic indicators, offering a comprehensive view of market trends. This tool is designed to filter out market noise, highlight clear trends, and incorporate volume analysis to pinpoint momentum behind market moves.
Volume Flow Oscillator (VFO)I created the Volume Flow Oscillator (VFO) to explore the intricate interplay between volume and price movements over a specific lookback period. This tool contrasts volumes that move in sync with the price against those that move in opposition, signaling potential overbought or oversold territories. To determine the direction, I compare the current price to its value four periods back, shedding light on underlying bullish or bearish momentum. The VFO enriches my analysis and decision-making by offering a detailed perspective on how volume trends correlate with price changes. Its color-coded visuals are crucial for highlighting optimal trading points based on volume dynamics.
Information Entropy OscillatorHello Traders
This Trading Indicator / script is my interpritation of the use of shannons entropy in Trading, hope you find this usefull !!!
Information Entropy Oscillator :
In Physics, entropy is a concept and a measurable physical property that is most commonly associated with the state of disorder, randomness or uncertainty of a system. In the Thermodynamic field Entropy also describes how much energy is not available to do work, The more disordered a system and higher the entropy, the less of a system's energy is available to do work. This last definition is central to the idea of this trading idea, Briefly this is because the lower the information Entropy the “more predictable” is price movement which is characterized by a two states process up(h), and down(d) - (green and red candles), thus the more predictable a up or down move, Given the definition this also means more “energy” which can be thought of as the systems “predictive power” is available to do work, where work in this case to predict the likelihood of a trend continuation.
In Information Theory, the entropy of a random variable (A statistical term that describes either a discrete or continuous event with a respective (discrete or continuous) probability, where the latter is expressed via a CDF - cumulative distribution function) is the average level of "information", "surprise", or "uncertainty" inherent to the variable's possible outcomes. note : this is the definition for Entropy that this script is built upon
Formual Derivation :
Interpretations of Information Entropy Values (Polar approach)
when , …
H(x) = 0 Max-Information gain (purity of knowledge available)
H(x) = 1 No INformation gain, When both states probabilities are equal, i.e. H = T = 0.5, the function yields maximum uncertainty and therefore maximum entropy. This reflects
When Information gain is nearing 0, thus low, the script attempts to predict the proceeding trend direction, for example when entropy is low and all bars preceding the real market / time bars have all been positive and the real time bar closes as a red candle (close < yesterday's open) the script takes this as a high information gain signal, “predicting” a Bearish trend.
The Script Also comes with a Information Entropy heat map to plot entropy (inspired by Oppenheimer and Barbie lol), to see this turn off all candle plots, plots in the Chart settings, under the symbol header .
Average Variation Bands OscillatorSimilar to how a donchian% of channel helps to visualize trend and volatility, this tool helps identify those same characteristics, if the oscillator is generally above the 50 mark, it is considered to be trending upwards, and the reverse if it is generally bellow 50.
Trend Oscillatorwhat is "Trend Oscillator"?
it is an indicator for determining the trend.
what it does?
analyzes the price action by reducing it to 4 different situations. Red means strong bear, orange means bearish, yellow means weak bull and green means strong bull. It was developed to help traders who trade in the direction of the trend and its biggest promise is to simplify price action.
how it does it?
He defines 4 different situations as follows. If the velocity of the price is positive and the acceleration is positive, it is a strong bull, if the velocity is positive and the acceleration is negative, it is a weak bull, if the velocity is negative and the acceleration is positive, it is a weak bear, if both velocity and acceleration are negative, it is a strong bear.
2 for strong bull
1 for the weak bull
-1 for weak bear
Creates a function that takes values of -2 for the strong bear. this function is the velocity of the principal indicator, and then the integral of this function forms the principal indicator.
how to use it?
"source" is used to change the source of the indicator,
"length" makes the indicator give a later but less signal.
you can use it to follow or analyze the trend. colors make it easy to use. learns about current or past trends by looking at colors. Like any trend indicator, it can give unsuccessful signals in a horizontal trend.
Andean OscillatorThe following script is an original creation originally posted on the blog section of the broker Alpaca.
The proposed indicator aims to measure the degree of variations of individual up-trends and down-trends in the price, thus allowing to highlight the direction and amplitude of a current trend.
Settings
Length : Determines the significance of the trends degree of variations measured by the indicator.
Signal Length : Moving average period of the signal line.
Usage
The Andean Oscillator can return multiple information to the user, with its core interpretation revolving around the bull and bear components.
A rising bull component (in green) indicates the presence of bullish price variations while a rising bear component (in red) indicates the presence of bearish price variations.
When the bull component is over the bear component market is up-trending, and the user can expect new higher highs. When the bear component is over the bull component market is down-trending, and the user can expect new lower lows.
The signal line (in orange) allows a more developed interpretation of the indicator and can be used in several ways.
It is possible to use it to filter out potential false signals given by the crosses between the bullish and bearish components. As such the user might want to enter a position once the bullish or bearish component crosses over the signal line instead.
Details
Measuring the degree of variations of trends in the price by their direction (up-trend/down-trend) can be done in several way.
The approach taken by the proposed indicator makes use of exponential envelopes and the naive computation of standard deviation.
First, exponential envelopes are obtained from both the regular prices and squared prices, thus giving two upper extremities, and two lower extremities.
The bullish component is obtained by first subtracting the upper extremity of the squared prices with the squared upper extremity of regular prices, the square root is then applied to this result.
The bearish component is obtained in the same way, but makes use of the lower extremities of the exponential envelopes.
Optimized Trend Tracker Oscillator OTTOOTTO - Optimized Trend Tracker Oscillator is a derivative of Anıl Özekşi's OTT - Optimized Trend Tracker:
It is more sensitive to price movements when compared to its ancestor OTT.
There are 2 more parameters of VIDYA moving average lengths FAST and SLOW.
Fast VIDYA has length of 10 bars and Slow VIDYA has 25.
Correction Constant is a crucial parameter to make the calculation more stable.
you can use 1000 to 100000000 by the powers of ten to obtain more accurate graphic values.
Buy and Sell signals make indicator more meaningful.
Ehlers Elegant Oscillator [CC]The Elegant Oscillator was created by John Ehlers (Stocks and Commodities Feb 2022 pg 21) and for those of you who don't know, he introduced the indicators for the Fisher Transform and Inverse Fisher Transform and this is a new updated version to that idea based on his latest research. This uses a soft limiter which he says is superior to a hard limiter. There are several ways to interpret this indicator. First if the indicator is above the 0 line then it is a long term bullish trend and below 0 a long term bearish trend. Second this indicator can be used for reversal points with the peaks and valleys. Finally when the indicator line starts moving higher for example it is a bullish short term trend and vice versa. I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal are lighter in color. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators or scripts you would like to see me publish!
Volume Difference Delta Cycle OscillatorVolume Difference Delta Cycle Oscillator indicator:
Using the power of my Volume Difference Indicator and standard deviations based on Bollinger Bands and more, we present this wonderful indicator with the following features:
Price Action Histogram: This is the bread and butter of this graph, if the PAH is above 0, this is considered a BULL cycle, and if below 0, this is considered a BEAR cycle. The histogram will move up and down based on the Histagram settings you set in the properties field. Be careful, we advise using default settings.
Custom Overbought & Oversold Lines:mean
These lines can be used to identify when to buy and sell the security, and help you make sense of the action of the histogram. Change the color, size, and linewidth!
These lines are what are used to perform the trades with the strategy as well, so if you change them, they will make an impact on the strategy itself.
EzSpot Background:
Do you want to turn your brain off and just trade when you you're inside an Overbought or Oversold line? Awesome! Turn on EzSpot backgrounds, and when it's green, go long, when it's red go short! Simple as that!
How it works:
By taking the Delta of the Volume Difference Indicator we're able to find the rate of change of the amount of change of volume, allowing us to see changes in volume before price changes. To add onto these, we supercharge it by taking the output of this line as the input source of bollinger bands which we use to output the %B of the Delta of the Volume Difference Indicator.
Separately, we calculate the %B of the current close to use later.
The final step is taking the second %B (which is an indication of where price lies on the curve of historical price data), and from it subtract the first %B, which allows us to visualize the standard deviation of the closing price, minus the standard deviation of Delta of the Volume Difference , which in essence allows us to see when volume changes but price does not and vice versa.
This final output is then plotted along with an over bought and over sold line, which we use to perform our trades on.
Simplified: This indicator shows the cycles of price action - volume based on the rate of the rate of volume changes based on price and the closing price.
Super Simple: Notice when volume increases but price hasn't, and vice versa with this indicator.
Pivot Point Oscillator by AlgotrdrThis script tracks moments where price closes over s/r levels on 3 sets of pivot points and turns it into an oscillator to help users analyze price movements at a glance. Enjoy!
Elliott Wave Oscillator + TTM SqueezeThe Elliott Wave Oscillator enables traders to track Elliott Wave counts and divergences. It allows traders to observe when an existing wave ends and when a new one begins. It works on the basis of a simple calculation: The difference between a 5-period simple moving average and a 34-period simple moving average.
Included with the EWO are the breakout bands that help identify strong impulses.
To further aid in the detection of explosive movements I've included the TTM Squeeze indicator which shows the relationship between Keltner Channels & Bollinger Bands, wich highlight situations of compression/low volatility, and expansion/high volatility. The dark dots indicate a squeeze, and white dots indicates the end of such squeeze and therefore the start of an expansion.
Enjoy!
Center Of Gravity OscillatorThe COG Oscillator (center of gravity) is an indicator based on statistics and the Fibonacci golden ratio. It uses ALMA as a trigger and LSMA as "zero line". The trigger is set tight by default but can be tweaked by adjusting the window size and sigma in settings. This is a great indicator for setting up trades and spotting reversals. There are 2 main strategies that come with this indicator:
Strategy 1: Long positions are entered when current low point is higher than previous low. Short positions are entered as current high is lower than previous high. (Shown in image above)
Strategy 2 : If market is bullish long trades are entered as COG line crosses over red LSMA line. Traders have the option of scalping the first crossover or even scaling out of trade to close on second exit. This works the opposite for shorts when market is bearish.
Above shows different configurations of the indicator. Top shows length of 50, Middle has length of 21 and bottom is default 9.
Relative Difference Of Squares Oscillator [CC]The Relative Difference Of Squares Oscillator was created by Marco Alves (Stocks and Commodities Aug 2020 pg 10) and this is a heavily customized version of his indicator that works for single stocks instead of the entire market. I have included extra buy and sell signals to account for strong signals vs normal signals based on some user feedback I got. Buy when the line turns green and sell when it turns red. Keep in mind that this is a lagging indicator so good for trend confirmation.
Let me know if there are any other scripts you would like to see me publish!
Compare Price Momentum Oscillator [CC]The Compare Price Momentum Oscillator was created by Vitali Apirine (Stocks and Commodities Aug 2020 pg 16) and this is a handy indicator to compare the momentum of the current symbol you are looking at to the s&p to determine the relative strength of the underlying security. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Flunki TWAP minus MTF TWAP Oscillator
Heys,
Herewith a another simple oscillator that show the difference in price between a selectable timeframe TWAP and another alternative selectable timeframe TWAP
This is shown as a histogram.
Use numeric TWAP values for minutes (30, 60 ,720 whatever) and D, 3D, W, M for higher values
There is also a global timeframe which will set the timeframe for a global alternate timeframe (instead of current chart resolution)
On top of that is a Moving Average of the histogram value, shown as a blue / red line with an option to highlight this MA crossing zero, and an option to colour bars to this line.
Simple idea : Code open
Enjoy !
Amazing Oscillator MTF MulticolorIngles
The amazing multitemporal oscillator, allows you to see in a single graph the Waves that move the market in different temporalities, that is, you will be able to see the market trend, the impulse movement, the forced movement, and the entry and exit points, as well as also how both collide with each other, to understand why the smaller waves succumb to the impulse of the larger waves.
Elliot already described them as such, in his legacy of the Elliot waves and their different sub-waves, just as Wycoff spoke of the theory of effort and result.
Español:
El oscilador asombroso multitemporal, permite ver en una sola grafica las Ondas que mueven el mercado en diferentes temporalidades, es decir, podrás ver la tendencia del mercado, el movimiento de impulso, el movimiento de fuerza y los puntos de entrada y salida, así como también como ambos chocan entre si, para entender porque las ondas mas pequeñas sucumben al impulso de las ondas de mayor tamaño.
Ya Elliot las describía como tal, en su legado de las ondas de Elliot y sus diferentes sub-ondas, al igual que Wycoff hablaba de la teoría de esfuerzo y resultado.
Amazing Oscillator MTF plusIngles
The amazing multitemporal oscillator, allows you to see in a single graph the Waves that move the market in different temporalities, that is, you will be able to see the market trend, the impulse movement, the force movement and the entry and exit points, as well as also how both collide with each other, to understand why the smaller waves succumb to the impulse of the larger waves.
Elliot already described them as such, in his legacy of the Elliot waves and their different sub-waves, just as Wycoff spoke of the theory of effort and result.
Español:
El oscilador asombroso multitemporal, permite ver en una sola grafica las Ondas que mueven el mercado en diferentes temporalidades, es decir, podrás ver la tendencia del mercado, el movimiento de impulso, el movimiento de fuerza y los puntos de entrada y salida, así como también como ambos chocan entre si, para entender porque las ondas mas pequeñas sucumben al impulso de las ondas de mayor tamaño.
Ya Elliot las describía como tal, en su legado de las ondas de Elliot y sus diferentes sub-ondas, al igual que Wycoff hablaba de la teoría de esfuerzo y resultado.
