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Faccio trading da quindici anni con un'enfasi sulla ricerca dei modelli matematici del mercato.
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💰 Prodotti presentati:
1) 🏆 Indicatori con filtraggio ottimale del rumore di mercato (per selezionare i punti di apertura e chiusura delle posizioni).
2) 🏆 Indicatori statistici (per determinare il trend globale).
3) 🏆 Indicatori di ricerche di mercato (per chiarire la microstruttura dei prezzi, costruire canali, identificare differenze tra inversioni di tendenza e pullback).
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☛ Maggiori informazioni nel blog https://www.mql5.com/en/blogs/post/741637
PDP indicator is used for: 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; defining the channel change moment. Operation principles and features PDP analyzes a quote history on lower timeframes and calculates a price probability distribution on higher ones. Forecast algorithms allow the indicator to calculate probability distributions and
✔️ 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.
I present an indicator for professionals. Prof MACD is very similar to classic MACD in appearance and its functions . However, Prof MACD is based on completely new algorithms (for example, it has only one averaging period) and is more robust, especially on small timeframes, since it filters random price walks. The classic MACD indicator (Moving Average Convergence / Divergence) is a very good indicator following the trend, based on the
The Asummetry indicator allows you to predict the beginning of a change in the direction of trends, long before their visual appearance on the price chart.
✔️The algorithms of this indicator are unique and developed by their author
The principle of the indicator. The Asummetry indicator allows you to predict the beginning of a change in the direction of trends, long before their visual appearance on the price chart. The author statistically revealed that before changing the direction
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
The principle of the indicator. The Strong Trend Flat Signal (STFS) indicator is the intersection of two, developed by the author, non-lagging moving averages with averaging periods 21 and 63. A simple moving average (SMA) with an averaging period (2n + 1) of bars is always obtained lagging by n bars. If SMA or other types of moving
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 algorithms of this indicator are unique and developed by their author
Indicator is used for: 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; defining the channel change moment. Operation principles and features Indicator analyzes a quote history on lower timeframes and calculates a price probability distribution on higher ones. Forecast algorithms allow the indicator to calculate probability distributions
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.
✔️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
The Velocity of price change indicator shows the average rate of price change at those characteristic time intervals where this rate was approximately constant. The robust algorithm used in Velocity of price change to smooth out the price from its random jumps, ensures the reliability of the indicator reading, which does not react to simple price volatility and its insignificant movements.
✔️The algorithms of this indicator are unique and developed by their author
The Velocity of price change ( VP ) indicator shows the average rate of price change at those characteristic time intervals where this rate was approximately constant. The robust algorithm used in VP to smooth out the price from its random jumps, ensures the reliability of the indicator reading, which does not react to simple price volatility and its insignificant movements
✔️ This indicator is intended for professionals assessing fundamental market trends. This indicator calculates the index of any instrument and analyzes it.
✔️ The indicator has modes for analyzing the indices themselves, namely: Moving Average; Relative Strength Index; Momentum; Commodity Channel Index; Bollinger Bands; Envelopes.
This indicator is intended for professionals assessing fundamental market trends. This indicator calculates the index of any instrument and analyzes it. The index of the state currency shows the real purchasing power of this currency, and the dynamics of this index shows the dynamics of the economic state of the corresponding state
The TrueChannel indicator shows us the true price movement channels. This indicator resembles Donchian Channel in its appearance, but is built on the basis of completely different principles and gives (in comparison with Donchian Channel, which is better just to use to assess volatility) more adequate trading signals.
✔️The algorithms of this indicator are unique and developed by their author
Part 2 https://www.mql5.com/en/articles/11158 and
the author of the well-known Identify Trend indicator https://www.mql5.com/en/market/product/36336 .
✔️The algorithms of most indicators (Modern profitable indicators https://www.mql5.com/en/blogs/post/741637 ) are unique and developed by their author.
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.
The indicator predicts the future values of the Relative Vigor Index 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.
The indicator predicts the future values of the Stochastic 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.
