New Forex Stuff Indicators with optimal filtering of noise in the foreign exchange market.

[Aleksey_Ivanov]

StatPredict https://www.mql5.com/en/market/product/38721

The indicator predicts the price in accordance with the prevailing trend and its own small statistical price fluctuations around this trend. Using mathematical methods for predicting random processes, StatPredict indicator predicts the most probable values of the future price and calculates the confidence interval for them.

StatPredict also provides the option to calculate the lot, based on the positions of the last points of the calculated channel of confidence probability, as well as the size of the deposit and the allowable risk, which are specified in the indicator settings.

The algorithms of this indicator are unique and developed by their author

Author Aleksey Ivanov https://www.mql5.com/en/users/60000382

 

[Aleksey_Ivanov]

Absolute Bands FREE https://www.mql5.com/en/market/product/33826

The Absolute Bands 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.

One of the best indicators with optimal market noise filtering.

Author Aleksey Ivanov https://www.mql5.com/en/users/60000382

 

[Aleksey_Ivanov]

Signal Channel https://www.mql5.com/en/market/product/50988

The Signal Channel indicator uses a robust filtering method based on two moving medians applicable to the High and Low prices, i.e. the lines <High> and <Low>, where <..> is the sign of linear averaging, which are shifted by certain values in an uptrend and by opposite values in a downtrend, which allows you to get a narrow channel, approximately outlining each bar. Sharp kinks of the lines of such a channel allow the most accurate and minimal possible delay to establish the beginning of a new trend movement. The possible change in the direction of the trend is also indicated by sharp narrowing of the channel lines, which, in fact, is expressed by the fall in volatility. The indicator also has an additional filtering function, upon activation of which the signal is identified only after a decrease in volatility, which makes the indicator more reliable. In addition to the main channel, inside which the most probable price fluctuations occur, an auxiliary channel is built (in dashed lines), beyond the borders of which the price does not go anymore, which serves to set stoplosses on it.

The Signal Channel indicator can be used both for trading according to scalper strategies, and when using long-term trading strategies.

It has built-in management

The indicator has all types of alerts.

The indicator does not redraw.

One of the best indicators with optimal market noise filtering.

Author Aleksey Ivanov https://www.mql5.com/en/users/60000382

 

[Aleksey_Ivanov]

Signal Envelopes https://www.mql5.com/en/market/product/46593

The Signal Envelopes indicator uses the robust filtering method based on: (1) the moving median Buff0 = < Median> = (Max {x} + Min {x}) / 2 and (2) the averaging algorithm developed by the author Buff1 = <(<Median> ) ^ (- 3)> * (<Median>) ^ 4 based on the moving median. The Signal Envelopes indicator allows you to most accurately and with the minimum possible delay set the beginning of a new trend. The Signal Envelopes indicator can be used both for trading according to scalper strategies, and when using long-term trading strategies.

The indicator has all kinds of alerts.

The indicator does not redraw

The algorithms of this indicator are unique and developed by their author

Author Aleksey Ivanov https://www.mql5.com/en/users/60000382

 

[Aleksey_Ivanov]

Strong Trend Flat Signal https://www.mql5.com/en/market/product/37203

The Strong Trend Flat Signal indicator is the intersection of two, developed by the author, non-lagging moving averages with averaging periods 21 and 63.

The algorithms of this indicator are unique and developed by their author

Author Aleksey Ivanov https://www.mql5.com/en/users/60000382

 

[Aleksey_Ivanov]

Prof MACD (MT5) https://www.mql5.com/en/market/product/65276

One of my most profitable indicators with optimal filtering.

The algorithms of this indicator are unique and developed by their author

The indicator has all kinds of alerts.

The indicator does not redraw.

Author Aleksey Ivanov https://www.mql5.com/en/users/60000382

 

[Aleksey_Ivanov]

Robust filter https://www.mql5.com/en/market/product/52668

The Robust filter indicator is based on the robust filtering algorithm developed by the author using the multi-period averaged moving median.

The indicator calculates and shows:

1. The direction of the trend;

2. Entry and exit points of positions;

3. StopLoss lines calculated from current price probability distributions and selected probability of closing an order by StopLoss before the trend reversal;

4. Lot sizes based on the accepted risk level, deposit size and StopLoss position.

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The indicator has all kinds of alerts.

The indicator does not redraw.

The indicator can be used both for trading scalper strategies and for long-term trading strategies.



Author Aleksey Ivanov https://www.mql5.com/en/users/60000382

 

[Aleksey_Ivanov]

Alligator Analysis FREE https://www.mql5.com/en/market/product/35227

The “Alligator Analysis” (AA) indicator allows you to build various (by averaging types and by scales) “Alligators” and their combinations, i.e. allows you to analyze the state of the market based on the correlation of this state with a whole range of different "Alligators". The classic "Alligator" by Bill Williams is based on moving averages and Fibonacci numbers, which makes it one of the best indicators now. The classic "Alligator" is based on Fibonacci numbers and is a combination of three smoothed moving averages (SМMA) with periods 5, 8 and 13, which are part of the Fibonacci sequence. In this case, the moving averages are shifted forwards by 3, 5, and 8 bars, respectively, which are numbers from the same sequence (preceding the corresponding period values).

Alligators from the AA indicator is based, on the same principle as the classic “Alligator”, but on different parts of a number of Fibonacci numbers, as well as on different moving average averaging algorithms.

The indicator AA uses 6 types of averaging, where the classical averaging SMA, EMA, SMMA, LMA are supplemented by averaging the moving average by the median and averaging weighted by volume.

Line shifts can be removed. The colors of the AA indicator lines are set according to the type of color spectrum: from violet for a small smoothing period to red - for the largest period.

Author Aleksey Ivanov https://www.mql5.com/en/users/60000382

 

[Aleksey_Ivanov]

MACD Extrapolator https://www.mql5.com/en/market/product/81589

The indicator predicts the future values of the MACD indicator, which allows you to use this indicator much more efficiently.

The market has a very short memory; in any case, the information that formally describes it quickly becomes obsolete and loses its weight in the formation of the current price. Therefore, wavelet analysis is the most promising for predicting future market parameters. The author uses a number of wavelet functions (including the Morlet wavelet and a somewhat modified Gaussian function, which are shown in the last screenshot), the expansion by which, with a sufficient degree of reliability, allows extrapolating future values of oscillator indicators.

Author Aleksey Ivanov https://www.mql5.com/en/users/60000382

 

[Aleksey_Ivanov]

Friends, I am a theoretical physicist and a trader, mathematically rigorously studying market processes, aspects of which I have already begun to present in my articles. https://www.mql5.com/en/articles/10955

https://www.mql5.com/en/articles/11158

Based on a rigorous theory, I have developed indicators with optimal market noise filtering for trading. https://www.mql5.com/en/blogs/post/741637

However, it should be emphasized that a trader (investor) should choose the direction of his positions on the basis of fundamental analysis, and correctly applied indicators of optimal filtering of market noise should be only its auxiliary tool. These indicators are used to determine:



market entry points are determined,

the positions of stop-loss and profit and their order (time and number of points) of movement are determined,

determine the size of the opened lots (calculated through money management built into the work of many indicators presented here).



I emphasize that for today's highly volatile market, these (1-3) statistically calculated parameters of the game are also (like fundamental analysis) key, in the sense that without them it will be generally impossible to get a stable profit.



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