Aleksey Ivanov / Profile
- Information
6+ years
experience
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32
products
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136
demo versions
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0
jobs
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0
signals
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0
subscribers
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💰 Presented products:
1) 🏆 Indicators with optimal filtering of market noises (for choosing points of opening and closing positions).
2) 🏆 Statistical indicators (to determine the global trend).
3) 🏆 Market research indicators (to clarify the microstructure of prices, build channels, identify differences between trend reversals and pullbacks).
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☛ More information in the blog https://www.mql5.com/en/blogs/post/741637
https://www.mql5.com/en/market/product/34818
The Channel Builder (CB) or Ivanov Bands indicator is a broad generalization of the Bollinger Bands indicator. First, in CB, the mean X line is calculated using various averaging algorithms. Secondly, the mean deviations calculated by Kolmogorov averaging are plotted on both sides of the middle line .
The middle line , besides the standard SMA, EMA, SMMA and LWMA averaging algorithms, can be Median = (Max + Min) / 2 sliding median (which is the default). In addition, for the calculation of , the moving averaging algorithms XF (fast) and XS (slow) are used, which are developed by the author. These algorithms specifically filter out the harmful noise that is largely present in the highly volatile currency market. The filtering algorithm XF allows you to quickly identify the beginning of the trend. And the filtering algorithm XS allows you to better define the transition to flat. And, finally, CB allows you to build a weighted by the volume averaging of the price XV.
The Channel Builder (CB) or Ivanov Bands indicator is a broad generalization of the Bollinger Bands indicator. First, in CB, the mean line <X> is calculated using various averaging algorithms. Secondly, the mean deviations calculated by Kolmogorov averaging are plotted on both sides of the middle line <X>. The middle line
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise.
PDP indicator is used for:
1.defining price probability distributions. This allows for a detailed representation of the channel and its borders and forecast the probability of a price appearing at each segment of its fluctuations;
2.defining the channel change moment.
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise.
PDP indicator is used for:
1.defining price probability distributions. This allows for a detailed representation of the channel and its borders and forecast the probability of a price appearing at each segment of its fluctuations;
2.defining the channel change moment.
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise.
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise. The filtration developed by the author is carried out in several iterations and reveals the true trajectory of the regular price movement (more precisely, the most likely curve of such movement) and draws it.
The Sensitive Signal ( SS ) indicator, using the filtering methods (which includes cluster multicurrency analysis) developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange , where signals are highly
Principles of construction of the indicator. The Absolute Bands (AB) indicator is reminiscent of the Bollinger Bands indicator with its appearance and functions, but only more effective for trading due to the significantly smaller number of false signals issued to them. This effectiveness of the Absolute Bands indicator is due to its robust nature
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