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AIS Ind Basic Window Functions MT5

Various window functions can be used to smooth time series. Window functions can be quite different from each other in their characteristics - the level of anti-aliasing, noise suppression, etc. This indicator allows you to implement the main window functions and evaluate their work on financial time series.

Indicator parameters:
iPeriod - indicator period. iPeriod> 1
iCenter - the index of the reference at which the center of the window function will be located. By default, this parameter is equal to 0 - the center of the window coincides with the center of the indicator. If 1 <= iCenter <= iPeriod, the center of the window function will be shifted, as a result of which some characteristics of the indicator will change. Figure 1 shows how center selection affects the windowing function and indicator display.
ALength - This parameter allows you to control the start and end counts of the window. In some cases, on these samples, window functions have zero values, and then the corresponding price values ​​will not be processed by the indicator. Enabling this option avoids this situation. Its effect is shown in Figure 2.
Some window functions use additional parameters - ParameterA and ParameterB. They affect the window weights. Because of this, the characteristics of the indicator change. The table shows window functions in which these parameters are used (dash - parameter is not used). Unless otherwise specified, both parameters can be changed within the range of 0 - 255.

Window

ParameterA

ParameterB

Bartlett-Hann

-

-

Bohman

-

-

Connes

-

-

Karre

-

-

Lanczos

-

-

Logistic

-

-

Modified cosine

-

-

Parzen

-

-

Rectangular

-

-

Cauchy

*

-

Cosine

0-1 - Blackman window

2-6 - Blackman-Harris window

7 - Blackman-Nuttall window

8 - Hannah window

9 - Hannah double window

10-11 - Hamming window

12 - Approximated Kaiser-Bessel window

13 - Nuttall window

4-15 - Flat top window

-

Dolph-Chebyshev

*

-

Hann-Poisson

*

-

High smoothing

0-2

-

Kaiser

*

-

Kaiser-Bessel

*

-

Logarithmic

*

-

Planck cone

*

-

Poisson

*

-

Silverman

*

-

Sinusoidal

*

-

Smoothed rectangular

*

-

Stepped

*

-

Triangular

*

-

Tukey

*

-

Approximated Gaussian

*

*

Gauss

*

*

Generalized Gaussian

*

*

Hyperbolic Tangent

*

*

Planck-Bessel

*

*



The distribution of the weighting coefficients of the window function for the given parameters can be estimated using a script https://www.mql5.com/ru/market/product/72157


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Introduction Advanced Price Pattern Scanner is the pattern scanner built upon our accumulative knowledge and insight from our financial market research many years. Advanced Price Pattern Scanner uses highly sophisticated pattern detection algorithm. However, we have designed it in the easy to use and intuitive manner. Advanced Price Pattern Scanner will show all the patterns in your chart in the most efficient format for your trading. Detectable Patterns Following pattern can be detected. Tri
180 USD
!!! CYBER MONDAY SALE - 25% OFF ALL INDICATORS !!! Normally $49 - $36.75 This Weekend! Ends Midnight Monday 29th November. This dashboard is an alert tool for use with the market structure reversal indicator. It's primary purpose is to alert you to reversal opportunities on specific time frames and also to the re-tests of the alerts (confirmation) as the indicator does. The dashboard is designed to sit on a chart on it's own and work in the background to send you alerts on your chosen pairs a
36.75 USD
The 'Volume by Price' indicator can visualize the complex relations between volume, price and time in easy to interpret forms to setup basic or advanced compositions. Features Volume Profile histogram, opacity-based background, area and line chart. Market Profile (Time Price Opportunity) expandable letter- and block-based marker structure, area and line chart. Initial Balance. Volume by Time histogram and bubble chart, and Volume Weighted Average Price. Comprehensive composition object position
150 USD
Bollinger Bands Triple Strategy Scanner is a simple, powerful, and effective solution for trading   breakouts,   reversals, and trend following!  This is a Multi-currency, Multi-timeframe, and Non-Repainting Scanner designed to provide you trading signals and save you hours analyzing the charts. Main Features: Advanced all in one scanner that automatically detects trading opportunities for breakouts, reversals, & trend following using the Bollinger Band indicator Easily identify if the prices
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FX Power MT5
Daniel Stein
4.24 (21)
You want to become a constantly profitable 5-star forex trader?  1.  Read the basic description of our simple trading  system  &  and it's major strategy update in 2020   2.   Send a screenshot of your purchase to get your personal invitation to our exclusive trading chat FX Power   is the first currency strength meter with a complete history across all time frames. It analyzes the momentum and strength of all major currencies to determine high probability trades. Key Features Complete str
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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
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The arithmetic mean or median can be used to determine the measure of the central trend of a time series. Both methods have some disadvantages. The arithmetic mean is calculated by the Simple Moving Average indicator. It is sensitive to emissions and noise. The median behaves more steadily, but there is a loss of information at the boundaries of the interval. In order to reduce these disadvantages, pseudo-median signal filtering can be used. To do this, take the median of a small length and rec
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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
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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
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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, so
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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
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The arithmetic mean or median can be used to determine the measure of the central trend of a time series. Both methods have some disadvantages. The arithmetic mean is calculated by the Simple Moving Average indicator. It is sensitive to emissions and noise. The median behaves more steadily, but there is a loss of information at the boundaries of the interval. In order to reduce these disadvantages, pseudo-median signal filtering can be used. To do this, take the median of a small length and rec
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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
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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.
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AIS Channel Price
Aleksej Poljakov
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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
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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 bas
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AIS Probable High Low
Aleksej Poljakov
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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
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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
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The AIS Weighted Moving Average indicator calculates weighted moving average, allowing to determine the beginning of market trend. Weights are calculated taking into account the specific characteristics of each bar. This allows filtering random market movements. The main signal, confirming the beginning of a trend, is change in the direction of indicator line movement and the intersection of the indicator lines with the indicator price. WH (blue line) - the weighted average High price. WL (red l
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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
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This indicator is a sequential hybrid filter based on a combination of median and moving average properties. Using the median allows filtering out abnormal outliers and random impulses in the values ​​of the price series. At the same time, the median filter does not act on the trend in price movement, leaving it unchanged. Since the median filter is non-linear, averaging using a simple moving average is used to smooth its values. This approach allows us to more accurately identify not only the
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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
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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
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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
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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.
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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 cat
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The AIS Advanced Grade Feasibility indicator is designed for forecasting levels that a price can reach in future. Its operation is based on the analysis of the last three bars and creating the forecast. The indicator can be used on any timeframe and any currency pair. Using settings, you can achieve the desired quality of the forecast. Depth of forecast - sets the desired depth of forecast in bars. The recommended values for these parameters are 18-31. You can try beyond this range. But in this
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The AIS Advanced Grade Feasibility indicator is designed for forecasting levels that a price can reach in future. Its operation is based on the analysis of the last three bars and creating the forecast. The indicator can be used on any timeframe and any currency pair. Using settings, you can achieve the desired quality of the forecast. Depth of forecast - sets the desired depth of forecast in bars. The recommended values for these parameters are 18-31. You can try beyond this range. But in this
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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
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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
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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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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
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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
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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
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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
FREE
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