AIS Predictor Color Noise

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 stable results;
and, finally, the noise variability allows us to hope that the forecasting system will be quite sensitive and its response to price changes will be quite fast.
As a result, we got an indicator that, despite all the simplifications, is able to accurately predict the channel in which the price will move. The main advantage of this indicator is its high speed and ease of learning. The main disadvantage is that the indicator cannot choose the most significant factors for forecasting.
  • LH is a parameter that sets the length of historical data by which the forecast is made. Its allowed value is 0 - 255, while the number of bars that the indicator processes is more than one unit than specified by this parameter. 
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Technical indicator that structures charts and identifies cyclical price movements. Can work on any charts. Several types of alerts. There are additional arrows on the chart itself. Without redrawing on history, works on closing a candle. Recommended TF from M5 and higher. Easy to use and configure parameters. When using 2 indicators with different parameters, you can use without other indicators. Has 2 input parameters Cyclicality and Signal duration These 2 parameters work with the processin
KuKl
IGOR KIRIANEN
Indicators
The indicator is built on a non-standard Zig Zag, it draws accumulations after which if the price leaves this zone and a test of this zone occurs, then a sound signal is given and an arrow appears - after the test candle closes.The indicator does not redraw its signals, it is very easy to use, there are only three settings 1- this is the zig zag parameter 2- this is the minimum price exit from the zone 3- this is the maximum price exit from the zone. The lower the parameter for Zig Zag, the more
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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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AIS Color Noise Filter MT4
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Indicators
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AIS Adaptive Nonlinear Smoothing
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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
AIS Adaptive Trend Smoothing
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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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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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Indicators
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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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
AIS Smoothing Stable Distribution
Aleksej Poljakov
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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 based
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