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On beş yıldır piyasanın matematiksel modellerini araştırmaya odaklanarak ticaret yapıyorum.
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💰 Sunulan ürünler:
1) 🏆 Piyasa gürültüsünün optimal filtrelenmesine sahip göstergeler (açılış ve kapanış pozisyonları için noktaları seçmek için).
2) 🏆 İstatistiksel göstergeler (küresel eğilimi belirlemek için).
3) 🏆 Pazar araştırması göstergeleri (fiyat mikro yapısını netleştirmek, kanallar oluşturmak, trend dönüşleri ve geri çekilmeler arasındaki farkları belirlemek için).
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☛ Blogda daha fazla bilgi https://www.mql5.com/en/blogs/post/741637
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 averages are the basis for making trading decisions, then their strong delay does not allow to open positions in time and close positions, which leads to losses.
The Estimation moving average without lag indicator calculates an estimate of a non-lagging moving average and displays the corresponding confidence interval.
✔️The algorithms of this indicator are unique and developed by their author
Author Aleksey Ivanov https://www.mql5.com/en/users/60000382
Iterative Moving Average – IMA. IMA is obtained by correcting the usual MA. The correction consists in addition to MA averaged difference between the time series (X) and its MA, i.e. IMA(X)=MA(X) + MA (Х-MA(X)). Correction is done in several iterations (and, exactly, 2 iterations in this indicator) and with a change in the averaging period.
As a result, the time-series points begin to cluster around (on all sides) of the getting IMA and with a smaller delay than around the usual MA. Therefore, IMA is a more effective tool for manual and automatic trading than all types of conventional MA (SMA, EMA, SSMA, LMA).
✔️The algorithms of this indicator are unique and developed by their author
Iterative Moving Average – IMA. IMA is obtained by correcting the usual MA. The correction consists in addition to MA averaged difference between the time series (X) and its MA, i.e. IMA(X)=MA(X) + MA ( Х -MA(X)). Correction is done in several iterations (and, exactly, 2 iterations in this indicator) and with a change in the averaging period
Signal Bands is a sensitive and convenient indicator, which performs deep statistical processing of information. It allows to see on one chart (1) the price trend, (2) the clear price channel and (3) latent signs of trend change. The indicator can be used on charts of any periods, but it is especially useful for scalping due to its high sensitivity to the current market state.
✔️The indicator has all types of alerts.
✔️The indicator does not redraw.
✔️The algorithms of this indicator are unique and developed by their author
Signal Bands is a sensitive and convenient indicator, which performs deep statistical processing of information. It allows to see on one chart (1) the price trend, (2) the clear price channel and (3) latent signs of trend change. The indicator can be used on charts of any periods, but it is especially useful for scalping due to its high sensitivity to the current market state. The functions of the indicator : First, the Signal Bands indicator draws channels into which all price fluctuations
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.
The Robust filter indicator is based on the robust filtering algorithm developed by the author using the multi-period averaged moving median. The algorithm for this averaging is shown in the last screenshot. The indicator calculates and shows: 1. The direction of the trend; 2. Entry and exit points of positions; 3. StopLoss lines
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
✔️ It has built-in management
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
