Adaptive, Double Jurik Filter Moving Average (AJFMA) [Loxx]Adaptive, Double Jurik Filter Moving Average (AJFMA) is moving average like Jurik Moving Average but with the addition of double smoothing and adaptive length (Autocorrelation Periodogram Algorithm) and power/volatility {Juirk Volty) inputs to further reduce noise and identify trends.
What is Jurik Volty?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
That's why investors, banks and institutions worldwide ask for the Jurik Research Moving Average ( JMA ). You may apply it just as you would any other popular moving average. However, JMA's improved timing and smoothness will astound you.
What is adaptive Jurik volatility?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Included
- Double calculation of AJFMA for even smoother results
Cari skrip untuk "algo"
Ehlers Adaptive Relative Strength Index (RSI) [Loxx]Ehlers Adaptive Relative Strength Index (RSI) is an implementation of RSI using Ehlers Autocorrelation Periodogram Algorithm to derive the length input for RSI. Other implementations of Ehers Adaptive RSI rely on the inferior Hilbert Transformer derive the dominant cycle.
In his book "Cycle Analytics for Traders Advanced Technical Trading Concepts", John F. Ehlers describes an implementation for Adaptive Relative Strength Index in order to solve for varying length inputs into the classic RSI equation.
What is an adaptive cycle, and what is the Autocorrelation Periodogram Algorithm?
From his Ehlers' book mentioned above, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average (KAMA) and Tushar Chande’s variable index dynamic average (VIDYA) adapt to changes in volatility. By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic, relative strength index (RSI), commodity channel index (CCI), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator.This look-back period is commonly a fixed value. However, since the measured cycle period is changing, as we have seen in previous chapters, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the autocorrelation periodogram algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
What is Adaptive RSI?
From his Ehlers' book mentioned above, page 137:
"The adaptive RSI starts with the computation of the dominant cycle using the autocorrelation periodogram approach. Since the objective is to use only those frequency components passed by the roofing filter, the variable "filt" is used as a data input rather than closing prices. Rather than independently taking the averages of the numerator and denominator, I chose to perform smoothing on the ratio using the SuperSmoother filter. The coefficients for the SuperSmoother filters have previously been computed in the dominant cycle measurement part of the code."
Happy trading!
Special Long Short ConditionsIt generates buy and sell signals using a special algorithm when various moving averages approach and diverge from the price. It aims to stay in the trend as long as possible. Please control the risks of your investments well. It is not investment advice.
It calculates using fast, slow period and distance and near distance units. You can adapt it by changing the parameters, but too much optimization is not recommended.
Cesitli hareketli ortalamalarin fiyata yakinlasmasi ve uzaklasmasi durumunda ozel bir algoritma kullanarak al ve sat sinyalleri uretir. Trendde mumkun olabildigince kalabilmeyi amaclar. Lutfen yatirimlarizda risklerini iyi kontrol edin. Yatirim tavsiyesi degildir.
Hizli,yavas periyot ve uzak, yakin uzaklik birimlerini kullanarak hesaplama yapar. Parametreleri degistirerek kendinize uyarlayabilirsiniz fakat cok fazla optimizasyon tavsiye edilemez.
Auto Phivots S/R [DM]Greetings colleagues
Today I share the classic pivot points indicator
Added options:
Standard levels
Fibonacci levels "up to 261'8"
Logarithmic scale option
//Pivot Points Standard
//Pivot Points Standard — is a technical indicator that is used to determine the levels
//at which price may face support or resistance. The Pivot Points indicator consists of
//a pivot point (PP) level and several support (S) and resistance (R) levels.
//
//Calculation
//PP, resistance and support values are calculated in different ways, depending on
//the type of the indicator, specified by the Type field in indicator inputs. To
//calculate PP and support/resistance levels, the values OPENcurr, OPENprev, HIGHprev,
//LOWprev, CLOSEprev are used, which are the values of the current open and previous
//open, high, low and close, respectively, on the indicator resolution. The indicator
//resolution is set by the input of the Pivots Timeframe. If the Pivots Timeframe is set
//to AUTO (the default value), then the increased resolution is determined by the
//following algorithm:
//
//for intraday resolutions up to and including 15 min, DAY (1D) is used
//for intraday resolutions more than 15 min, WEEK (1W) is used
//for daily resolutions MONTH is used (1M)
//for weekly and monthly resolutions, 12-MONTH (12M) is used
iBagging Multi-IndicatorHello traders!
You know, machine learning is a very popular theme nowadays. The best tricks and methods were borrowed from Math and Computer Science to improve and create ML algorithms. As you know, one of our analysts is a great fan of ML, thus he decided to borrow on very powerful method from ML.
We have taken 5 indicators, tuned them a bit and make them to vote. If the number of voters is more than the threshold the the bullish/bearish signal shows. It's called Bagging, when some algorithms are voting to classify or to regress. We use EMA Cross with NATR filter, BB Width, divergency detector and bull bear power. This bundle in my opinion is one of the best to define entries. Check it up in you daily trading staff. You shouldn't forget about tuning the parameters on different coins and timeframes. We checked it on 1H BTCUSDT and default parameters are for this combination. I hope you'll enjoy my masterpiece.
How to use it?
Just add it to the chart and check up signals.
SQZMOM + ADX
ENGLISH:
SQUEEZE MOMENTUM INDICATOR
The Squeeze Momentum Indicator is a momentum oscillator that indicates the explosiveness with which the price is going to move. Its first known version was called "TTM Squeeze" by John Carter explained in his book "Mastering the Trade" (chapter 11). and popularized on TradingView by a developer named LazyBear.
The black crosses in the middle line show that the market has just entered a consolidation. This means low volatility, the market is preparing for an explosive move (up or down). The gray crosses signify the "Squeeze". Carter suggests waiting until the first gray after a black cross and taking a position in the direction of the oscillator. For its part, LazyBear recommends using an additional indicator such as ADX to enhance the effectiveness of the points of entry and closing of positions.
IMPROVEMENTS IN UNDERSTANDING THE OSCILLATOR:
During the indicator creation process we were able to understand the oscillator logic in greater depth, and based on this knowledge we implemented improvements.
IMPROVEMENTS IN THE DEVELOPMENT OF THE OSCILLATOR:
SIDE PANEL:
• The ADX algorithm was incorporated, which is displayed numerically in the right panel of the indicator, it shows the value of the ADX and its directionality.
• An arrow type pointer was added to indicate the Directionality of the Oscillator.
• Two Exponential Moving Averages of 11 and 55 periods were added to the right panel, this will mark if the trend is bullish or bearish depending on the crossing of the EMAs.
• An indicator of the Squeeze of the indicator was also included, which marks the periods of consolidation of the price (OFF) and the periods where the price should react explosively.
• Added a function that allows the automatic color change of the panels based on the color of the oscillator and the ADX.
o ADX: Dark Green (Bullish Force).
o ADX: Light Green (Loss of bullish strength).
o ADX: Dark Red (Bearish Force).
o ADX: Light Red (Loss of bearish strength).
o ADX: Orange (Lost strength, Disinterest and low volume).
SIGNALS:
A very famous strategy that we have learned is that of the trading expert Jaime Merino, who by combining the Squeeze Momentum Indicator and a common ADX, managed to efficiently link the weakness of the ADX with the beginning of a bullish or bearish momentum. The parameterization of its strategy was signaled in buy and sell alerts, which are represented as follows:
B (Buy): It is activated when a bearish movement marked by the ADX (Negative Slope) ends and the oscillator takes bullish directionality (Bullish impulse).
S (Sell): It is activated when an upward movement marked by the ADX (Negative Slope) ends and the oscillator takes bearish directionality. (Bearish momentum).
FILTER:
In order to prevent any trader from trading against the trend, a filter was added that limits the alerts for bearish entries when the trend is up and vice versa, that is, when the EMA 10 is above the EMA55, it is understood that the trend is bullish in that time frame, therefore the bearish entry alerts will not be activated. It will be the decision of each trader whether to activate or deactivate this function.
ALERTS:
This is undoubtedly the most anticipated function by all Latin American traders, (Just kidding), but being aware, I am very proud of the implementation of alerts for each improvement made to this indicator, if you decide to use the Squeeze Momentum Indicator you can automate alerts for the following actions:
• Buy and Sell alerts.
• Alerts for activating the Squeeze to (ON).
• Oscillator quadrant change alerts
o Bullish momentum.
o Bearish momentum.
o Bullish force.
o Bearish force.
RECOMMENDATIONS:
One of the things that became clearer to us in the development of this indicator is the coloring of the quadrants, which is why we recommend the use of four colors, one for each oscillator grid.
ESPAÑOL:
El Squeeze Momentum Indicator es oscilador de momentum que nos indica la explosividad con que el precio se va a mover. Su primera versión conocida se llamo “TTM Squeeze” de John Carter explica en su libro "Mastering the Trade" (capítulo 11). y popularizada en TradingView por un desarrollador llamado LazyBear.
Las cruces negras en la línea media muestran que el mercado acaba de entrar en una consolidación. Esto significa baja volatilidad, el mercado se prepara para un movimiento explosivo (hacia arriba o hacia abajo). Las cruces grises significan el "Squeeze“. Carter sugiere esperar hasta el primer gris después de una cruz negra y tomar una posición en la dirección del oscilador. Por su parte LazyBear recomienda usar un indicador adicional como ADX para potenciar la efectividad de los puntos de entrada y cierre de las posiciones.
CUADRANTE DE IMPULSO: Los cuadrantes de impulso poseen el doble de potencia de los cuadrantes de fuerza, esto se debe a que su misión es cambiar la dirección del oscilador para generar las Ondas.
CUADRANTE DE FUERZA:
Los cuadrantes de fuerza poseen el menos de potencia que los cuadrantes de impulso, podríamos decir que este cuadrante representa la perdida en la fuerza del movimiento.
LOS COLORES:
Particularmente recomiendo usar la configuracion de colores que se presentan en la imagen anterior, ya que brinda mas coherencia en la realizacion del movimiento alcista y bajista.
IMPULSO ALCISTA: El oscilador se tiene pendiente POSITIVA y se encuentra por debajo del punto 0.
FUERZA ALCISTA: El oscilador se tiene pendiente POSITIVA y se encuentra por encima del punto 0.
IMPULSO BAJISTA: El oscilador se tiene pendiente NEGATIVA y se encuentra por encima del punto 0.
FUERZA BAJISTA: El oscilador se tiene pendiente NEGATIVA y se encuentra por debajo del punto 0.
MEJORAS EN LA COMPRENSIÓN DEL OSCILADOR:
Durante el proceso de creación del indicador pudimos comprender la logica del oscilador con mayor profundidad, y con base en este conocimiento implementamos mejoras
MEJORAS EN EL DESARROLLO DEL OSCILADOR:
PANEL LATERAL:
• Se incorporó el algoritmo del ADX el cual se visualiza en forma numérica en el panel derecho del indicador, el mismo muestra el valor del ADX y la direccionalidad de este.
• Se incorporó un señalador de tipo flecha que indica la Direccionalidad del Oscilador.
• Se añadió dos Medias móviles Exponenciales de 11 y 55 periodos al panel derecho, éste marcará si la tendencia es alcista o bajista en función a al cruce de las EMAs.
• También se incluyó un señalador del Squeeze del indicador, el cual marca los periodos de consolidación del precio (OFF) y los periodos donde el precio debería reaccionar de forma explosiva.
• Se añadió una función que permite el cambio de color automático de los paneles en función al color del oscilador y el ADX.
o ADX: Verde Oscuro (Fuerza alcista).
o ADX: Verde Claro (Perdida de fuerza alcista).
o ADX: Rojo Oscuro (Fuerza bajista).
o ADX: Rojo Claro (Perdida fuerza bajista).
o ADX: Naranja (Perdida fuerza, Desinterés y bajo volumen).
SEÑALES:
Una estrategia muy famosa que hemos aprendido es la del experto en trading Jaime Merino, quien combinando el Squeeze Momentum Indicator y un ADX comùn, logró relacionar de forma eficiente la debilidad del ADX con el comienzo de un impulso ALCISTA o BAJISTA. La parametrización de su estrategia fue señalizada en alertas de compra y venta, las cuales se representan de la siguiente manera:
B (Buy): Se activa cuando termina un movimiento bajista marcado por el ADX (Pendiente Negativa) y el oscilador toma Direccionalidad alcista (Impulso alcista).
S (Sell): Se activa cuando termina un movimiento alcista marcado por el ADX (Pendiente Negativa) y el oscilador toma Direccionalidad bajista. (Impulso bajista).
FILTRO:
Con la intención de evitar que ningún trader opere en contra de la tendencia, se añadió un filtro que limita las alertas entradas bajistas cuando la tendencia es alcista y viceversa, es decir, cuando la EMA 10 está por encima de la EMA55, se entiende que la tendencia es alcista en esa temporalidad, por lo cual las alertas de entradas bajistas no se activaran. Será decisión de cada trader si activa o desactiva esta función.
ALERTAS:
Esta sin duda es la función más esperada por todos los traders de Latinoamérica, (Es broma), pero siendo consientes, me siento muy orgulloso de la implementación de alertas para cada mejora realizada a este indicador, si decide usar el Squeeze Momentum Indicator podrá automatizar las alertas para las siguientes acciones:
• Alertas de Buy y Sell.
• Alertas para la activación del Squeeze a (ON).
• Alertas de cambios de cuadrantes del oscilador
o Impulso alcista.
o Impulso bajista.
o Fuerza alcista.
o Fuerza bajista.
RECOMENDACIONES:
Una de las cosas que nos quedó más claras en el desarrollo de este indicador, es la coloración de los cuadrantes, es por ellos que recomendamos el empleo de cuatro colores, uno para cada cuadricula del oscilador.
Reditum SniperReditum Sniper synchronizes multiple time frames POC's (Point of Control) to a single graph, allowing its user to find valuable area's which may act as key levels to take educated decisions. Furthermore it uses custom made formulas to find the lookback period of previously mentioned values.
Reditum Sniper vs Reditum Scanner
Reditum Sniper aproaches the markets in a similar way as the Reditum Scan, yet it counts with several updates and overall a rebrand. The Reditum Sniper includes bug fixes, weekly poc has been added, the ability to fix the max_bars_back error in any security, less memory use which is required due to errors presented in later versions of the TradingView platform, functions which simplify the code and much more!
Components of Reditum Scan:
POC's (30 min, 60 min, 120 min, 240 min, daily, weekly)
How does it work?
The algorithm allows you to identify areas of strong support and resistance , based on where most of the trading activity takes place.
What are the strategies for considering placing a trade?
1.Cluster (agglomeration of multiple POC's) to cluster (by identifying two clusters, the price could go smoothly from one Cluster to the other).
2. From cluster (agglomeration of multiple POCs, each with unique color. Now, from this cluster important movements may begin).
3. Towards a cluster (like the “from cluster” pattern, we identify areas of high interest for institutional companies, in this pattern the cluster acts like a magnet, if price is near it may be fully attracted towards the agglomeration).
If you are a member of the mastermind tribe please contact the support team within the tribe to access the indicator (do not leave personal or subscription data in the comments on this page), if not, please visit the link located in our signature.
Thanks for taking a look!
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Reditum Sniper sincroniza múltiples POC's (Puntos de Control) de distintos marcos de tiempo a un único grafico, permitiéndole al usuario encontrar áreas de alto valor que pueden actuar como niveles clave para tomar una decisión educada en su inversión. Además utiliza formulas propias para encontrar la cantidad de data utilizada para los valores previamente mencionados.
Reditum Sniper vs Reditum Scanner
Reditum Sniper enfrenta el mercado de una manera similar al Reditum Scan, aun así cuenta con una gran cantidad de cambios y sobre todo un cambio de marca. El Reditum Sniper incluye una gran cantidad de arreglos de bugs, el poc weekly ya esta incluido por default, la habilidad de solucionar el error max_bars_back que se presentaba en ciertos marcos de tiempo, menor uso de memoria el cual se requiere debido a que se presentaba este error en nuevas versiones de la plataforma, funciones que simplifican el código y mucho más!
Componentes de Reditum Scan:
POC´s (30 min, 60 min, 120 min, 240 min, diario, semanal)
¿Cómo funciona?
El algoritmo le permite identificar áreas de fuerte soporte y resistencia, según el lugar donde se lleva a cabo la mayor parte de la actividad comercial.
¿Cuáles son las estrategias para considerar una entrada?
1.Cluster (aglomeración de múltiples POC´s) a cluster (al identificar dos cluster el precio podría ir con fluidez desde uno al otro que lo recibe).
2.Desde cluster (lo identificamos con la aglomeración de múltiples POC identificados con colores que hacen fácil la lectura. Ahora, desde este cluster podrían iniciar movimientos importantes).
3.Hacia cluster (al igual que el patrón “desde cluster” identificamos zonas de alto interés para los institucionales, en este patrón el cluster actúa como un imán para el precio, de modo que cuando el precio está lejos de él, lo podría atraer con fuerza).
Para acceder a la herramienta, si usted es miembro de la tribu mastermind por favor comunicarse con el equipo de soporte dentro de la tribu (no dejar datos personales ni de suscripción en los comentarios de esta página), si no es miembro por favor visite el enlace a continuación en nuestra Firma.
Gracias por echarle un vistazo!.
Trend Follow SystemTrend following algorithm:
We take 1- 5 Fibonacci Ema values. 21, 34, 55, 89, 144
2- We normalize the changes of these values over time between 1-100.
3- We take the ema value of 1 length so that it does not follow a horizontal course after the normalization process.
4- In order not to experience too much change, we take the value of sma with a length of 5.
5-We think that when all values are 100, the trend is up, when all values are 0, the trend is down, otherwise the trend is horizontal.
SB Master Chart w/Smart TradeThis is a follow up script to the original SB Master Chart.
SB Master Chart was created to be a simple chart that can be easily interpreted.
The prior version of SB Master Chart added additional multi time frame alerts, alerting to oversold/overbought and high volume on 5 time periods (30m,1h, 2h, 4h, and 1d).
V4 of SB Master Chart is NOT going away. It is not being REPLACED!... This is a separate script based on the same algorithm, but is significantly different enough to warrant its own script. Please review SB Master Chart v4 for more details about the algo.
This version of SB Master Chart w/Smart Trade has additional money management parameters to help you dollar cost average in and out of a trade.
It follows the following rules
Oversold with no positions - Buy and establish a cost basis.
Oversold with positions - Only buy if below cost basis and dca percentage set in options.
Sell - Only sell if above minimum take profit and crossbelow trailing stop loss.
The script assumes you are buying and selling in lots of 1 so cost basis and positions are based on that calculation. There is a position/profit/loss table at the top of the chart.
If you don't like making trading decisions based on SB Master Chart v4, this is the chart for you, it will tell you exactly when to buy and when to sell based on the options you set. When you created the alert.
Options available
Take Profit % - This lets you specify the minimum take profit you want to sell for.
Trailing Stop % - This is not your typical trailing stop. This trailing stop is a percentage of the maximum gain. If your stock went up 100% and you set it to 75%, it will stop loss you out at 75% gain based on your cost basis/open trades
DCA % - This will only open a trade if you are below your cost basis by DCA% and there is a buy signal.
Start Year/End Year - This will allow the graph to start displaying information from the date forward. This is useful for determining Max Positions so you can calculate how much exposure each positions should have.
Disable Trade History - This will disable the labels.
Pro Algo: Find the Direction and Follow the Trend
Find direction is the key to success for all traders. This script can find the direction and Opening Range. All you need to do is follow the direction and the trend generated from this script. It can be used for day trading and swing trading on all time frames. It generates short-trend, medium-trend and long-trend lines with no repaint and no lagging. It also generates Support/Resistance (S/R) area for Day-time and 24 hours time-frame.
How does it work?
* Defines all support/resistance (S/R) levels based on floor trader’s pivot points and my own S/R levels.
* Calculates the trend/reversal signals, price reactions close to all above S/R levels.
* Generates short-trend, middle-trend and long-trend line based on all combined factors and directions.
What are the signals?
* Pink line are short-trend line
* Green line are short-trend line
* Red line are short-trend
* Deep green area is S/R Opening Range for day-time, which can be used as Open Range Breakout
*
How to use?
* Find the Opening Range(green area)
* Follow the direction of Pink/Green/Red lines
* Trade in the same direction of opening range breakout and the direction of trend(Pink/Green/Red lines)
* It works on all time-frames from 1 min, 2 min, 3 min to 4 hours chart.
* The trend lines will not change, i.e trend lines will be same for all time frames
* There is no way to filter all noises even with higher time frame, all the trades must have a stop Or Reversal the direction once the trend is changed.
* These trend lines provide excellent support and resistances levels.
How to access?
* PM me (ProKingTV) to obtain access
* 10 days Free Trial is available
[blackcat] L2 Ehlers Adaptive Jon Andersen R-Squared IndicatorLevel: 2
Background
@pips_v1 has proposed an interesting idea that is it possible to code an "Adaptive Jon Andersen R-Squared Indicator" where the length is determined by DCPeriod as calculated in Ehlers Sine Wave Indicator? I agree with him and starting to construct this indicator. After a study, I found "(blackcat) L2 Ehlers Autocorrelation Periodogram" script could be reused for this purpose because Ehlers Autocorrelation Periodogram is an ideal candidate to calculate the dominant cycle. On the other hand, there are two inputs for R-Squared indicator:
Length - number of bars to calculate moment correlation coefficient R
AvgLen - number of bars to calculate average R-square
I used Ehlers Autocorrelation Periodogram to produced a dynamic value of "Length" of R-Squared indicator and make it adaptive.
Function
One tool available in forecasting the trendiness of the breakout is the coefficient of determination (R-squared), a statistical measurement. The R-squared indicates linear strength between the security's price (the Y - axis) and time (the X - axis). The R-squared is the percentage of squared error that the linear regression can eliminate if it were used as the predictor instead of the mean value. If the R-squared were 0.99, then the linear regression would eliminate 99% of the error for prediction versus predicting closing prices using a simple moving average.
When the R-squared is at an extreme low, indicating that the mean is a better predictor than regression, it can only increase, indicating that the regression is becoming a better predictor than the mean. The opposite is true for extreme high values of the R-squared.
To make this indicator adaptive, the dominant cycle is extracted from the spectral estimate in the next block of code using a center-of-gravity ( CG ) algorithm. The CG algorithm measures the average center of two-dimensional objects. The algorithm computes the average period at which the powers are centered. That is the dominant cycle. The dominant cycle is a value that varies with time. The spectrum values vary between 0 and 1 after being normalized. These values are converted to colors. When the spectrum is greater than 0.5, the colors combine red and yellow, with yellow being the result when spectrum = 1 and red being the result when the spectrum = 0.5. When the spectrum is less than 0.5, the red saturation is decreased, with the result the color is black when spectrum = 0.
Construction of the autocorrelation periodogram starts with the autocorrelation function using the minimum three bars of averaging. The cyclic information is extracted using a discrete Fourier transform (DFT) of the autocorrelation results. This approach has at least four distinct advantages over other spectral estimation techniques. These are:
1. Rapid response. The spectral estimates start to form within a half-cycle period of their initiation.
2. Relative cyclic power as a function of time is estimated. The autocorrelation at all cycle periods can be low if there are no cycles present, for example, during a trend. Previous works treated the maximum cycle amplitude at each time bar equally.
3. The autocorrelation is constrained to be between minus one and plus one regardless of the period of the measured cycle period. This obviates the need to compensate for Spectral Dilation of the cycle amplitude as a function of the cycle period.
4. The resolution of the cyclic measurement is inherently high and is independent of any windowing function of the price data.
Key Signal
DC --> Ehlers dominant cycle.
AvgSqrR --> R-squared output of the indicator.
Remarks
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
Fibonacci Extension / Retracement / Pivot Points by DGTFɪʙᴏɴᴀᴄᴄɪ Exᴛᴇɴᴛɪᴏɴ / Rᴇᴛʀᴀᴄᴍᴇɴᴛ / Pɪᴠᴏᴛ Pᴏɪɴᴛꜱ
This study combines various Fibonacci concepts into one, and some basic volume and volatility indications
█ Pɪᴠᴏᴛ Pᴏɪɴᴛꜱ — is a technical indicator that is used to determine the levels at which price may face support or resistance. The Pivot Points indicator consists of a pivot point (PP) level and several support (S) and resistance (R) levels. PP, resistance and support values are calculated in different ways, depending on the type of the indicator, this study implements Fibonacci Pivot Points
The indicator resolution is set by the input of the Pivot Points TF (Timeframe). If the Pivot Points TF is set to AUTO (the default value), then the increased resolution is determined by the following algorithm:
for intraday resolutions up to and including 5 min, 4HOURS (4H) is used
for intraday resolutions more than 5 min and up to and including 45 min, DAY (1D) is used
for intraday resolutions more than 45 min and up to and including 4 hour, WEEK (1W) is used
for daily resolutions MONTH is used (1M)
for weekly resolutions, 3-MONTH (3M) is used
for monthly resolutions, 12-MONTH (12M) is used
If the Pivot Points TF is set to User Defined, users may choose any higher timeframe of their preference
█ Fɪʙ Rᴇᴛʀᴀᴄᴇᴍᴇɴᴛ — Fibonacci retracements is a popular instrument used by technical analysts to determine support and resistance areas. In technical analysis, this tool is created by taking two extreme points (usually a peak and a trough) on the chart and dividing the vertical distance by the key Fibonacci coefficients equal to 23.6%, 38.2%, 50%, 61.8%, and 100%. This study implements an automated method of identifying the pivot lows/highs and automatically draws horizontal lines that are used to determine possible support and resistance levels
█ Fɪʙᴏɴᴀᴄᴄɪ Exᴛᴇɴꜱɪᴏɴꜱ — Fibonacci extensions are a tool that traders can use to establish profit targets or estimate how far a price may travel AFTER a retracement/pullback is finished. Extension levels are also possible areas where the price may reverse. This study implements an automated method of identifying the pivot lows/highs and automatically draws horizontal lines that are used to determine possible support and resistance levels.
IMPORTANT NOTE: Fibonacci extensions option may require to do further adjustment of the study parameters for proper usage. Extensions are aimed to be used when a trend is present and they aim to measure how far a price may travel AFTER a retracement/pullback. I will strongly suggest users of this study to check the education post for further details, where to use extensions and where to use retracements
Important input options for both Fibonacci Extensions and Retracements
Deviation, is a multiplier that affects how much the price should deviate from the previous pivot in order for the bar to become a new pivot. Increasing its value is one way to get higher timeframe Fib Retracement Levels
Depth, affects the minimum number of bars that will be taken into account when building
█ Volume / Volatility Add-Ons
High Volatile Bar Indication
Volume Spike Bar Indication
Volume Weighted Colored Bars
This study benefits from build-in auto fib retracement tv study and modifications applied to get extentions and also to fit this combo
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Repeated Median Regression ChannelThis script uses the Repeated Median (RM) estimator to construct a linear regression channel and thus offers an alternative to the available codes based on ordinary least squares.
The RM estimator is a robust linear regression algorithm. It was proposed by Siegel in 1982 (1) and has since found many applications in science and engineering for linear trend estimation and data filtering.
The key difference between RM and ordinary least squares methods is that the slope of the RM line is significantly less affected by data points that deviate strongly from the established trend. In statistics, these points are usually called outliers, while in the context of price data, they are associated with gaps, reversals, breaks from the trading range. Thus, robustness to outlier means that the nascent deviation from a predetermined trend will be more clearly seen in the RM regression compared to the least-squares estimate. For the same reason, the RM model is expected to better depict gaps and trend changes (2).
Input Description
Length : Determines the length of the regression line.
Channel Multiplier : Determines the channel width in units of root-mean-square deviation.
Show Channel : If switched off , only the (central) regression line is displayed.
Show Historical Broken Channel : If switched on , the channels that were broken in the past are displayed. Note that a certain historical broken channel is shown only when at least Length / 2 bars have passed since the last historical broken channel.
Print Slope : Displays the value of the current RM slope on the graph.
Method
Calculation of the RM regression line is done as follows (1,3):
For each sample point ( t (i), y (i)) with i = 1.. Length , the algorithm calculates the median of all the slopes of the lines connecting this point to the other Length -1 points.
The regression slope is defined as the median of the set of these median slopes.
The regression intercept is defined as the median of the set { y (i) – m * t (i)}.
Computational Time
The present implementation utilizes a brute-force algorithm for computing the RM-slope that takes O ( Length ^2) time. Therefore, the calculation of the historical broken channels might take a relatively long time (depending on the Length parameter). However, when the Show Historical Broken Channel option is off, only the real-time RM channel is calculated, and this is done quite fast.
References
1. A. F. Siegel (1982), Robust regression using repeated medians, Biometrika, 69 , 242–244.
2. P. L. Davies, R. Fried, and U. Gather (2004), Robust signal extraction for on-line monitoring data, Journal of Statistical Planning and Inference 122 , 65-78.
3. en.wikipedia.org
Tic Tac Toe (For Fun)Hello All,
I think all of you know the game "Tic Tac Toe" :) This time I tried to make this game, and also I tried to share an example to develop a game script in Pine. Just for fun ;)
Tic Tac Toe Game Rules:
1. The game is played on a grid that's 3 squares by 3 squares.
2. You are "O", the computer is X. Players take turns putting their marks in empty squares.
3. if a player makes 3 of her marks in a row (up, down, across, or diagonally) the he is the winner.
4. When all 9 squares are full, the game is over (draw)
So, how to play the game?
- The player/you can play "O", meaning your mark is "O", so Xs for the script. please note that: The script plays with ONLY X
- There is naming for all squears, A1, A2, A3, B1, B2, B3, C1, C2, C3. you will see all these squares in the options.
- also You can set who will play first => "Human" or "Computer"
if it's your turn to move then you will see "You Move" text, as seen in the following screenshot. for example you want to put "O" to "A1" then using options set A1 as O
How the script play?
it uses MinMax algorithm with constant depth = 4. And yes we don't have option to make recursive functions in Pine at the moment so I made four functions for each depth. this idea can be used in your scripts if you need such an algorithm. if you have no idea about MinMax algorithm you can find a lot of articles on the net :)
The script plays its move automatically if its turn to play. you will just need to set the option that computer played (A1, C3, etc)
if it's computer turn to play then it calculates and show the move it wants to play like "My Move : B3 <= X" then using options you need to set B3 as X
Also it checks if the board is valid or not:
I have tested it but if you see any bug let me know please
Enjoy!
Max Drawdown Calculating Functions (Optimized)Maximum Drawdown and Maximum Relative Drawdown% calculating functions.
I needed a way to calculate the maxDD% of a serie of datas from an array (the different values of my balance account). I didn't find any builtin pinescript way to do it, so here it is.
There are 2 algorithms to calculate maxDD and relative maxDD%, one non optimized needs n*(n - 1)/2 comparisons for a collection of n datas, the other one only needs n-1 comparisons.
In the example we calculate the maxDDs of the last 10 close values.
There a 2 functions : "maximum_relative_drawdown" and "maximum_dradown" (and "optimized_maximum_relative_drawdown" and "optimized_maximum_drawdown") with names speaking for themselves.
Input : an array of floats of arbitrary size (the values we want the DD of)
Output : an array of 4 values
I added the iteration number just for fun.
Basically my script is the implementation of these 2 algos I found on the net :
var peak = 0;
var n = prices.length
for (var i = 1; i < n; i++){
dif = prices - prices ;
peak = dif < 0 ? i : peak;
maxDrawdown = maxDrawdown > dif ? maxDrawdown : dif;
}
var n = prices.length
for (var i = 0; i < n; i++){
for (var j = i + 1; j < n; j++){
dif = prices - prices ;
maxDrawdown = maxDrawdown > dif ? maxDrawdown : dif;
}
}
Feel free to use it.
@version=4
TopTenAlg0 1. Sentiment & MomentumEN: Mum Sentiment & Momentum is an indicator that measures the psychological thresholds of the O candle and the rate of change of the price (Rate of Chance / Bar Momentum). Each price action is a separate action with flexibility. Mum Sentiment & Momentum shows you the speed and direction of this price action. If sentiment and momentum are green, the rise will continue, if it is much above momentum sentiment, it indicates the presence of an enthusiastic psychological movement. If sentiment and momentum are red, a correction may come and a decrease is expected, and if momentum is well below sentiment, there is an enthusiastic sale.
This algorithm is prepared with @Top10Algo ... Optimization periods
TR: Mum Sentiment & Momentum her barda ayrı ayrı olmak üzere O muma ait psikolojik eşikleri ve fiyatın değişim hızını ( Rate of Chance / Mum Momentumu ) ölçen bir göstergedir. Her bir fiyat hareketi esnekliği olan ayrı birer aksiyondur. Mum Sentiment & Momentum size bu fiyat aksiyonunun hızını ve yönünün ne olduğunu gösterir. Eğer sentiment ve momentum yeşil ise yükselişin devam edeceğini, momentum sentiment’ in çok üstünde ise coşkulu bir psikolojik hareketin varlığını gösterir. Eğer sentiment ve momentum kırmızı ise düzeltme gelebileceğini ve düşüş beklenildiğini, momentum ise sentiment’in çok altında ise coşkulu bir satış’ ın olduğunu gösterir.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Periyotlar optimize edilmiştir.
TopTenAlgo 4. Trend Velocity & Quality with Missmatch AlertEN: The Trend Velocity & Quality oscillator, in addition to a classic Rsi indicator, precisely measures the speed and quality of the trend. Rsi is actually a tense indicator that makes technical analysis difficult. For this reason, it makes it difficult for you to get false signals and trade the trend by not being able to analyze the direction of the trend clearly. The Rsi Trend Velocity & Quality oscillator produces more meaningful thresholds with the functions it contains, showing tighter postures that are not tense. It also causes Rsi to move faster without fear of distortion due to excessive noise, causing you to receive signals earlier. In short, it is a smoother oscillator that produces tighter postures, better thresholds, a faster Rsi and early signals.
This algorithm is prepared with @Top10Algo ... Add Mismatch Alerts
TR: Trend Velocity & Quality osilatörü klasik bir Rsi indikatörüne ek olarak trendin hızını ve kalitesini hassas bir biçimde ölçer. Rsi aslında teknik analizi zorlaştıran gergin bir indikatördür. Bu sebeple yanlış sinyaller almanıza ve trendin yönünü net analiz edememenize sebep olarak trade etmenizi zorlaştırır. Rsi Trend Velocity & Quality osilatörü içerdiği fonksiyonlar ile gergin olmayan daha sıkı duruşlar sergileyerek daha anlamlı eşikler üretir. Ayrıca aşırı gürültüye bağlı bozulma korkusu olmadan Rsi’ ın daha hızlı hareket etmesine sebep olarak daha erken sinyal almanıza vesile olur. Yani özetle daha sıkı duruşlar, daha iyi eşikler, daha hızlı bir Rsi ve erken sinyaller üreten pürüzsüz bir osilatördür.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Uyumsuzluk Uyarıları ve Alarmları Eklendi...
TopTenAlgo 5. Missmatch OscillatorEN: The Incompatibility Oscillator is an indicator used to detect trend turns and to catch mismatches in rising or falling waves. The Incompatibility Oscillator measures the mismatch between artificial pricing and actual price with a trend in the market compared to a Center Of Gravity . When designing the oscillator, my goal was to catch positive or negative mismatches as in RSI . Because most of the RSI incompatibilities are not working or running late, especially on short term charts. My goal was to eliminate the illusion here. I do not use any predefined indicators ( RSI etc.) in the Incompatibility Osilautre. It consists of a multiline mathematical function that scans the oscillator price movement in 100 steps. The aim here is to measure the price and the speed of the trend at the same time and catch the mismatches at the end of the trend.
This algorithm is prepared with @Top10Algo ...
TR: Uyumsuzluk Osilatörü trend dönüşlerini tespit etmek için ve yükseliş yada düşüş dalgalarındaki uyumsuzlukları yakalamak için kullanılan bir göstergedir. Uyumsuzluk Osilatörü piyasada trendle birlikte oluşa yapay fiyatlama ile gerçek fiyat arasındaki uyumsuzluğu bir ağırlık merkezine göre(Center Of Gravity ) ölçer. Osilatörü tasarlarken amacım RSI’ daki gibi pozitif yada negatif uyumsuzlukları yakalamaktı. Çünkü RSI uyumsuzlukların çoğu özelliklede kısa vade grafiklerde ya çalışmıyor yada geç çalışıyor. Amacım burdaki yanılgıyı ortadan kaldırmaktı. Uyumsuzluk Osilaötründe herhangi bir ön tanımlı gösterge( RSI vs.) kullanmıyorum. Osilatör fiyat hareketini 100 adımda tarayan bir multiline matemetiksel fonksiyondan oluşuyor. Burada amaç fiyat ile trendin hızını aynı anda ölçmek ve trend sonlarındaki uyumsuzlukları yakalamaktır.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 6. Trading IndexEN: Trend & Trading Index Oscillator is an indicator developed using Stochastic which makes your day trading easier. Is it to measure price swings with a more sensitive and close to zero error margin, and is the price movement and the direction of the trend compatible? is the ideal guide to look at. The oscillator consists of a 5 step system. Depressions below -0.85 are measured to determine the intake region (Lowlander 2) at the bottom of the step. At the top of the step, enthusiastic movements above 0.90 are detected to determine the sales region(Highlander 2). The buffer zone is the BALANCE "0" zone and its highlander "0. 40 zone close to enthusiasm, and the Lowlander "-0.50" zone close to depression.
This algorithm is prepared with @Top10Algo ... Study modify...
TR: Trend & Trading Index Osiatörü Stochastic kullanırak geliştirilen ve gün içi al satlarınızı kolaylaştıran bir göstergedir. Fiyat salınımlarını daha hassas ve sıfıra yakın bir hatalama payıyla ölçmek ve fiyat hareketi ile trendin yönü uyumlu mu? bakmak için en ideal yol göstericidir. Osilatör 5 basamaklı bir sistemden oluşmaktadır. Basamağın en altında alım bögesini belirlemek için -0.85 değerinin altındaki depresyonlar(Lowlander 2) ölçülür. Basamağın en üstünde ise satış bölgesini belirlemek için 0.90 değerinin üstündeki coşkulu hareketler (Highlander 2) tespit edilir. Ara bölge ise BALANCE “0” bögesi ve onun coşkuya yakın Highlander 1 “0.40" bölgesi ile depresyona yakın Lowlander 1 “-0.50" bölgesi yer alır.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Çalışma Prensipleri modifiye edildi...
TopTenAlgo 7. Linear Trend Tracking (Without Volume & Coloring)EN:
Dogrusal Trend Takipcisi is used in conjunction with Gosterge Trend. Both indicators are for approval of each other. While the Indicator looks at Logarithmic to prices, It looks at Linear. Although its mathematical function is stuck between two trend lines like Gösterge Trend, the Dogrusal Trend Takipcisi can also be used as the main histogram, the absolute value of the difference between the trend and the down trend line .
If the uptrend line is larger than the downtrend, histogram bars are light green or dark green areas. When the bullish trend line now crosses the down trend line , the bar is dark green. When the up trend line is larger than the down trend line and the up trend line increases, the bars also become dark green. This tendency starts to keep getting stronger. If the bullish trend line is larger than the bearish trend line but decreases, the bars are light green. This is when the bullish trend loses strength, So, Uptrend is weakening.
If the downtrend line is larger than the bullish trend line , a negative occur, and the bars become red or light red. If the bearish trend line has exceeded the bullish trend line or the value is increasing, the bar is in red. If the bearish trend line is larger than the bullish trend line but the value is decreasing, the bars are light red. This comes when the downward trend is losing power. So, Downtrend is weakening. For symbols for which the Volume Indicator cannot be read.
This algorithm is prepared with @Top10Algo ...
TR: Doğrusal Trend Takipçisi Gösterge Trendle ile beraber kullanılır. Her iki göstergede birbirinin onayını almak içindir. Gösterge Trend fiyatlara logaritmik bakarken, Doğrusal Tren Takipçisi Linear bakar. Matematiksel fonsiyonu Gösterge Trend gibi iki trend çizgisi arasına sıkışmış olsada Doğrusal Trend Takipçisi ayrıca ana histogram olarak gösterilen yukarı trend ve aşağı trend çizgisi arasındaki farkın mutlak değerini linear olarak hesaplayarak momentumun gücünü ölçer ve size zayıflayan trendleri haber eder.gösterir.
Yukarı trend çizgisi aşağı trendden büyükse (bu nedenle pozitif hareketi gösterir), histogram çubukları açık yeşil veya koyu yeşil olacaktır. Artış trendi çizgisi şimdi aşağı trend çizgisini geçtiğinde, çubuk koyu yeşil olacaktır. Yukarı trend çizgisi aşağı trend çizgisinden daha büyük olduğunda ve yukarı trend çizgisi arttığında çubuklar da koyu yeşil olur. Bu eğilimin güçlenmeye devam ettiği anlamına geliyor. Yükseliş trendi çizgisi düşüş trendi çizgisinden büyükse ancak azalıyorsa, çubuklar açık yeşil olacaktır. Bu yükseliş eğiliminin güç kaybettiği anlamına gelir.Yani yükseliş trendi zayıflıyordur.
Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, olumsuz bir eğilim oluşur ve çubuklar kırmızı veya açık kırmızı olur. Düşüş trendi çizgisi yükseliş trendi çizgisini aştıysa veya değer artıyorsa, çubuk kırmızı olacaktır. Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, ancak değer azalıyorsa, çubuklar açık kırmızı olacaktır. Bu düşüş eğiliminin güç kaybettiği anlamına gelir. Yani düşüş trendi zayıflıyordur. Hacim Göstergesinin okunamadığı semboller içindir.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 7. Linear Trend Tracking (Include Volume & Coloring)EN:
Dogrusal Trend Takipcisi is used in conjunction with Gosterge Trend. Both indicators are for approval of each other. While the Indicator looks at Logarithmic to prices, It looks at Linear. Although its mathematical function is stuck between two trend lines like Gösterge Trend, the Dogrusal Trend Takipcisi can also be used as the main histogram, the absolute value of the difference between the trend and the down trend line .
If the uptrend line is larger than the downtrend, histogram bars are light green or dark green areas. When the bullish trend line now crosses the down trend line , the bar is dark green. When the up trend line is larger than the down trend line and the up trend line increases, the bars also become dark green. This tendency starts to keep getting stronger. If the bullish trend line is larger than the bearish trend line but decreases, the bars are light green. This is when the bullish trend loses strength, So, Uptrend is weakening.
If the downtrend line is larger than the bullish trend line , a negative occur, and the bars become red or light red. If the bearish trend line has exceeded the bullish trend line or the value is increasing, the bar is in red. If the bearish trend line is larger than the bullish trend line but the value is decreasing, the bars are light red. This comes when the downward trend is losing power. So, Downtrend is weakening.
This algorithm is prepared with @Top10Algo ...
TR: Doğrusal Trend Takipçisi Gösterge Trendle ile beraber kullanılır. Her iki göstergede birbirinin onayını almak içindir. Gösterge Trend fiyatlara logaritmik bakarken, Doğrusal Tren Takipçisi Linear bakar. Matematiksel fonsiyonu Gösterge Trend gibi iki trend çizgisi arasına sıkışmış olsada Doğrusal Trend Takipçisi ayrıca ana histogram olarak gösterilen yukarı trend ve aşağı trend çizgisi arasındaki farkın mutlak değerini linear olarak hesaplayarak momentumun gücünü ölçer ve size zayıflayan trendleri haber eder.gösterir.
Yukarı trend çizgisi aşağı trendden büyükse (bu nedenle pozitif hareketi gösterir), histogram çubukları açık yeşil veya koyu yeşil olacaktır. Artış trendi çizgisi şimdi aşağı trend çizgisini geçtiğinde, çubuk koyu yeşil olacaktır. Yukarı trend çizgisi aşağı trend çizgisinden daha büyük olduğunda ve yukarı trend çizgisi arttığında çubuklar da koyu yeşil olur. Bu eğilimin güçlenmeye devam ettiği anlamına geliyor. Yükseliş trendi çizgisi düşüş trendi çizgisinden büyükse ancak azalıyorsa, çubuklar açık yeşil olacaktır. Bu yükseliş eğiliminin güç kaybettiği anlamına gelir.Yani yükseliş trendi zayıflıyordur.
Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, olumsuz bir eğilim oluşur ve çubuklar kırmızı veya açık kırmızı olur. Düşüş trendi çizgisi yükseliş trendi çizgisini aştıysa veya değer artıyorsa, çubuk kırmızı olacaktır. Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, ancak değer azalıyorsa, çubuklar açık kırmızı olacaktır. Bu düşüş eğiliminin güç kaybettiği anlamına gelir. Yani düşüş trendi zayıflıyordur.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 8. Elliottwave Cycle EN: The Elliottwaves Cycle Oscillator is an indicator that allows the detection of impulsive (impulsive / ascend) or corrective (correction / fall) waves, ie each cycle (cycle) in Elliott Waves . The aim is to measure the speed of a real trend and to predict returns. In the uptrend or impulsive movement, Cycle continues its movement in the upper band after the price is set on a certain band, while in the downtrend or corrective move, the Cycle continues its movement in the lower band.
This algorithm is prepared with @Top10Algo ...
TR: Elliottwaves Cycle Osilatörü Elliott Dalgalarında ki impulsive (itkisel/yükseliş) yada corrective (düzeltme/düşüş) dalgaların yani her bir siklus’ un (cycle) önceden tespit edilmesini sağlayan bir göstergedir. Amaç gerçek bir trendin hızını ölçmek ve geri dönüşleri önceden tespit etmektir. Yükseliş trendi içinde yada impulsive bir harekette fiyat belli bir banda oturduktan sonra Cycle üst band’ da hareketine devam ederken, düşüş trendi içinde yada corrective bir harekette fiyat belli bir banda oturduktan sonra Cycle alt bandda hareketine devam eder.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 9. Formation & Patterns HuntersEN:
• All Harmonic and Triangle Formation Patterns and OBO (Added) Displays labels with detected patterns.
• Displays the slope information rate of price, time difference and pricing angle (Experimental, Vary.)
• It shows the effects such as Target Price, Stoploss price or formation start price.
• It instantly detects the formation changes and allows you to make a reversal.
This algorithm is prepared with @Top10Algo ...
TR:
• Tüm Harmonik ve Triangle Formayon Kalıpları ile OBO(Eklendi). Algılanan kalıplara sahip tüm etiketleri görüntüler.
• Fiyat, zaman farkı ve fiyatlama açısının eğim bilgi oranını görüntüler (Deneysel, Değişiklik Gösterebilir.)
• Hedef Fiyat, Stoploss fiyatı yada formasyon başlangıç fiyatı gibi etkiketleri gösterir.
• Formasyon değişiklerini anında algılayarak hızlı dönüş (reversal) yapmanızı sağlar.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
