AIS Adaptive Trend Smoothing

In order to isolate long-term and non-random components, it is necessary to know not only how much the price has changed, but also how these changes occurred. In other words - we are interested not only in the values ​​of price levels, but also in the order in which these levels replace each other. Through this approach, one can find long-term and stable factors that influence (or may influence) the price change at a given point in time. And knowledge of these factors allows you to make a more or less accurate prediction.
Let's determine what specific results we want to get from the analysis of financial series in time:
• first of all we need to highlight the trend, if it is present in the market;
• secondly, we need to identify periodic components;
• thirdly, the results should be sufficiently stable to be used for forecasting;
• and finally, our analysis method should adapt to the current market situation.
In order to fulfill the specified conditions, we use a regression analysis of relative price changes, and make an indicator based on this model. The algorithm of this indicator is based on learning from historical data, and its work is under the complete control of the trader.
  • LH is a parameter that determines the number of bars used to smooth the financial series. Its allowable value is between 0 - 255.
  • UTS is a parameter that affects the speed and depth of learning. Its value also lies within 0 - 255. If the value of UTS is zero, then learning occurs throughout the history. In all other cases, the training set is updated from time to time. This update occurs the more often the smaller the UTS value.
The main disadvantage of this indicator is that when smoothing the financial series are considered as stationary, which may cause some delay.
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Identificare i range e le prossime mosse probabili   |  Ottenere i primi segnali e la forza delle tendenze   |  Ottenere uscite chiare prima dell'inversione   |  Individuare i livelli di Fibo che il prezzo testerà Indicatore non tracciante e non ritardato - ideale per il trading manuale e automatizzato - adatto a tutti gli asset e a tutte le unità temporali Dopo l'acquisto, per favore contattami per ottenere il tuo TrendDECODER_Scanner GRATUITO . Versione   MT5 :   clicca qui Ottenere il nostro
M1 Arrow
Oleg Rodin
4.81 (21)
M1 Arrow è un indicatore basato sui principi naturali del trading di mercato, che includono l'analisi della volatilità e dei volumi. L'indicatore può essere utilizzato con qualsiasi timeframe e coppia di valute. Un parametro di facile utilizzo consente di adattare i segnali a qualsiasi coppia di valute e timeframe. Oltre all'algoritmo principale basato su segnali di acquisto e vendita, l'indicatore include diverse strategie aggiuntive integrate, selezionabili tramite le impostazioni. Queste stra
Smetti di indovinare. Inizia a fare trading con un vantaggio statistico. Gli indici azionari non si negoziano come il forex. Hanno sessioni definite, gap notturni e seguono pattern statistici prevedibili. Questo indicatore ti fornisce i dati di probabilità di cui hai bisogno per fare trading su indici come DAX, S&P 500 e Dow Jones con fiducia. Cosa lo rende diverso La maggior parte degli indicatori ti mostra cosa è successo. Questo ti mostra cosa probabilmente succederà dopo. Ogni giorno di trad
Offerta speciale : TUTTI GLI STRUMENTI , solo $35 ciascuno! Nuovi strumenti   a   $30   per la   prima settimana   o per   i primi 3 acquisti !  Canale Trading Tools su MQL5 : unisciti al mio canale MQL5 per ricevere le ultime novità Stochastic Z-Score è un oscillatore di momentum che normalizza il prezzo con uno Z-Score, lo limita tramite logica stocastica e lo rende più fluido con HMA, mentre ALMA fornisce contesto di lungo periodo. Elementi opzionali: istogramma, bande dinamiche ed etichette
AW Candle Patterns MT4
AW Trading Software Limited
L'indicatore AW Candle Patterns è una combinazione di un indicatore di tendenza avanzato combinato con un potente scanner di modelli di candele. È uno strumento utile per riconoscere ed evidenziare i trenta modelli di candele più affidabili. Inoltre, è un analizzatore di trend attuale basato su barre colorate con a       pannello di trend multi-timeframe plug-in che può essere ridimensionato e posizionato. Una capacità unica di regolare la visualizzazione dei modelli in base al filtraggio delle
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Choosing the levels of StopLoss and TakeProfit can have a very strong impact on the overall performance of trading. In addition to the obvious parameters of a trade transaction - the size of a possible win or probable loss - the levels of StopLoss and TakeProfit also affect the expected duration of the transaction, and the profitability of trading in general. If you have already determined the optimal transaction duration using the “ AIS-ODT ” script, then you can begin to determine the paramete
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MinDeposit
Aleksej Poljakov
5 (1)
The script analyzes the history of quotes and gives recommendations on the minimum deposit. The calculations take into account the variability of prices and the standard deviation. Margin requirements for the instrument are also taken into account. The result of the script is the minimum recommended deposit for trading the given currency pair.
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This script allows selecting the TakeProfit and StopLoss levels. It analyzes the history data, and then calculates the probability of reaching a given price level. How the script works Suppose you have a trading strategy and you want to select the TakeProfit and StopLoss levels. Run the script and set the parameter: Number of Bars - the average position holding time in bars. Once the script operation is complete, the AIS-PPL.csv file will be created in the Files folder in the terminal data cata
FREE
This script is designed so that the trader can determine the average duration of trade transactions, at which the ratio of possible profits and losses will be optimal. First, let's look at the general approach to determining the optimal duration of trade transactions. We introduce the following variables: R   - the result of the transaction; T   - the time during which the transaction was open; W - the time between the closing of the previous transaction and the opening of the next one. Every tr
FREE
MinDeposit MT5
Aleksej Poljakov
3 (1)
The script analyzes the history of quotes and gives recommendations on the minimum deposit. The calculations take into account the variability of prices and the standard deviation. Margin requirements for the instrument are also taken into account. The result of the script is the minimum recommended deposit for trading the given currency pair.
FREE
The script allows selecting the required 'Filter level' value of the AIS-MTF MT5 indicator. Run the script on the required chart and selected timeframe. Once its operation is complete, the HPS.csv file will be created in the Files folder. Open the file. You will see three columns. The 'Filter lvl' column represents the value of the 'Filter level' for the AIS-MTF indicator. Am. dev. - degree and direction of the indicator's deviation from the price level (sorted in ascending order). Negative valu
FREE
This script allows selecting the TakeProfit and StopLoss levels. It analyzes the history data, and then calculates the probability of reaching a given price level. How the script works Suppose you have a trading strategy and you want to select the TakeProfit and StopLoss levels. Run the script and set the parameter: Number of Bars - the average position holding time in bars. Once the script operation is complete, the AIS-PPL.csv file will be created in the Files folder in the terminal data cata
FREE
L'indicatore AIS Correct Averages consente di impostare l'inizio di un movimento di tendenza nel mercato. Un'altra importante qualità dell'indicatore è un chiaro segnale della fine del trend. L'indicatore non viene ridisegnato o ricalcolato. Valori visualizzati h_AE - limite superiore del canale AE l_AE - limite inferiore del canale AE h_EC - Valore previsto alto per la barra corrente l_EC - Valore previsto basso per la barra corrente Segnali quando si lavora con l'indicatore Il segnale pr
L'indicatore della media mobile ponderata AIS calcola una media mobile ponderata e consente di determinare l'inizio di un movimento di mercato di tendenza. I coefficienti di peso sono calcolati tenendo conto delle caratteristiche specifiche di ciascuna barra. Ciò ti consente di filtrare i movimenti casuali del mercato. Il segnale principale che conferma l'inizio di una tendenza è un cambiamento nella direzione delle linee dell'indicatore e il prezzo che attraversa le linee dell'indicatore. W
L'indicatore di fattibilità del grado avanzato AIS è progettato per prevedere i livelli che il prezzo potrebbe raggiungere in futuro. Il suo compito è analizzare le ultime tre barre e costruire una previsione basata su queste. L'indicatore può essere utilizzato su qualsiasi intervallo di tempo e qualsiasi coppia di valute. Con l'aiuto delle impostazioni, puoi ottenere la qualità desiderata della previsione. Profondità di previsione: imposta la profondità di previsione desiderata in barre. Si c
The indicator is designed to measure the price volatility. This allows determining the moments for opening or closing trade positions more accurately. High intensity of the market indicates the instability of its movement, but allows for better results. And, conversely, low intensity of the market indicates the stability of its movement. Parameters Bars to process - the number of bars to measure the price movements. A low value of this parameter allows determining the moments of rapid price mov
This indicator uses the Fibonacci p-numbers to smooth a price series. This allows combining the advantages of the simple and exponential moving averages. The smoothing coefficients depend on the level of the p-number, which is set in the indicator parameters. The higher the level, the greater the influence of the simple moving average and the less significant the exponential moving average. Parameters Fibonacci Numbers Order - order of the Fibonacci p-number, specified by trader. Valid values a
The indicator is based on the analysis of interaction of two filters. The first filter is the popular Moving Average. It helps to identify linear price movements and to smooth minor price fluctuations. The second filter is the Sliding Median. It is a non-linear filter. It allows to filter out noise and single spikes in the price movement. A predictive filter implemented in this indicator is based on the difference between these filters. The indicator is trained during operation and is therefore
This indicator studies the price action as a combination of micro-trends. All micro-trends are analyzed and averaged. Price movement is filtered based on this averaging. IP_High and IP_Low (blue and red dashed lines) show the instantaneous price movement. They display the forecast only for the current price values, taking into account only the number of bars defined by the 'Filter level' parameter. SP_High and SP_Low (blue and red solid lines) smooth the price movements with respect to history.
The script allows selecting the required 'Filter level' value of the AIS-MTF indicator. Run the script on the required chart and selected timeframe. Once its operation is complete, the HPS.csv file will be created in the Files folder. Open the file. You will see three columns. The 'Filter lvl' column represents the value of the 'Filter level' for the AIS-MTF indicator. Am. dev. - degree and direction of the indicator's deviation from the price level (sorted in ascending order). Negative values i
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Questo indicatore implementa un semplice processo di smoothing lineare. Uno degli svantaggi del livellamento esponenziale è il rapido decadimento del segnale. Ciò rende impossibile tracciare completamente le tendenze a lungo termine nella fascia di prezzo. Il livellamento lineare consente di ottimizzare il filtraggio del segnale in modo più accurato e preciso. L'indicatore si configura selezionando i parametri: LP: questo parametro consente di selezionare il periodo di livellamento. Maggiore
Этот индикатор представляет гибридный фильтр основанный на совместном использовании медианы и скользящей средней. Использование медианы позволяет отфильтровывать аномальные выбросы и случайные импульсы в значениях ценового ряда. При этом на трендовую составляющую медианный фильтр не действует, оставляя ее без изменений. Так как медианный фильтр является нелинейным, то для сглаживания его значений используется скользящая средняя. Такой подход позволяет более точно выделять не только тренд, но и п
This indicator is a combination of two modified Lanczos filters. The first filter serves to extrapolate the price. Based on past values, he predicts a possible price movement within the current bar. That is, it shows what the price would be if the past trends remained unchanged. The second filter for smoothing and averaging prices within the window, determined by the level of the filter. Thanks to the selection of weights, this filter is most actively responding to the periodic component that is
The script is based on the simulation of trade transactions using a random number generator. This allows you to get completely different results, even with the same input parameters. When you run the script, a dialog box opens in which you can set the desired values ​​for external variables. In the Trading options block, the basic parameters that are necessary for trading modeling are defined. Start Balance - sets the initial size of the trade balance. Number Trade - sets the number of trade tr
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Let's look at the nature of price changes in the Forex market, not paying attention to the reasons why these changes occur. This approach will allow us to identify the main factors affecting the price movement. For example, let's take the opening prices of bars on the EUR-USD currency pair and the H1 timeframe. For these prices, we construct the Lameray diagram (Figure 1). In this diagram, it can be seen that the price movement basically occurs according to a linear equation. To determine the pa
Choosing the levels of StopLoss and TakeProfit can have a very strong impact on the overall performance of trading. In addition to the obvious parameters of a trade transaction - the size of a possible win or probable loss - the levels of StopLoss and TakeProfit also affect the expected duration of the transaction, and the profitability of trading in general. If you have already determined the optimal transaction duration using the “ AIS-ODT ” script, then you can begin to determine the paramete
FREE
This indicator is more informative. His work is based on the assumption that the price movement in the market can be represented as noise of a particular color, which depends on the parameters of the distribution of price values. Thanks to this, it is possible to analyze the price change from different angles, and considering the price movement as noise of a particular color, one can get information about the current state of affairs in the market and make a forecast about the price behavior. W
Despite some drawbacks of the “ AIS Color Noise Filter ” indicator, the idea to use it to smooth the price series and forecast prices looks quite attractive. This is due to several reasons: first, taking into account several noise components allows building a forecast on factors independent of each other, which can improve the quality of forecasting; secondly, the noise characteristics of the price series behave quite stably throughout the entire history, which makes it possible to obtain stabl
Very often, in the study of financial series apply their smoothing. Using smoothing, you can remove high-frequency components - it is believed that they are caused by random factors and therefore irrelevant. Smoothing always includes some way of averaging the data, in which random changes in the time series mutually absorb each other. Most often, for this purpose, simple or weighted moving average methods are used, as well as exponential smoothing. Each of these methods has its advantages and d
One of the powerful methods of analysis is the modeling of financial series using Levy processes. The main advantage of these processes is that they can be used to model a huge number of phenomena - from the simplest to the most complex. Suffice it to say that the idea of ​​the fractal price movement in the market is only a special case of Levy processes. On the other hand, with proper selection of parameters, any Levy process can be represented as a simple moving average. Figure 1 shows an exa
Very often, the trader is faced with the task of determining the extent to which the price may change in the near future. For this purpose, you can use the Johnson distribution type SB. The main advantage of this distribution is that it can be used even with a small amount of accumulated data. The empirical approach used in determining the parameters of this distribution, allows you to accurately determine the maximum and minimum levels of the price channel. These values ​​can be used in differ
This indicator allows you to determine the likelihood that the price will reach one or another level. Its algorithm is quite simple and is based on the use of statistical data on the price levels of a particular currency pair. Thanks to the collected historical data, it is possible to determine the extent to which the price will change during the current bar. Despite its simplicity, this indicator can provide invaluable assistance in trading. So, with its help it is possible to determine TakePr
Stable distributions can be used to smooth financial series. Since a fairly deep history can be used to calculate the distribution parameters, such smoothing may in some cases be even more effective than other methods. The figure shows an example of the distribution of the opening prices of the currency pair " EUR-USD " on the time frame H1 for ten years (figure 1). Looks fascinating, doesn't it? The main idea behind this indicator is to determine the parameters of a stable distribution based
When making trading decisions, it is useful to rely not only on historical data, but also on the current market situation. In order to make it more convenient to monitor current trends in market movement, you can use the AIS Current Price Filter  indicator. This indicator takes into account only the most significant price changes in one direction or another. Thanks to this, it is possible to predict short-term trends in the near future - no matter how the current market situation develops, soon
When analyzing financial time series, researchers most often make a preliminary assumption that prices are distributed according to the normal (Gaussian) law. This approach is due to the fact that a large number of real processes can be simulated using the normal distribution. Moreover, the calculation of the parameters of this distribution presents no great difficulties. However, when applied to financial markets, normal distribution does not always work. The returns on financial instruments of
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alfy87
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alfy87 2023.01.12 21:49 
 

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sunnychow
9043
sunnychow 2019.07.10 15:02 
 

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