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7+ années
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Je négocie depuis quinze ans en mettant l'accent sur la recherche de modèles mathématiques du marché.
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💰 Produits présentés:
1) 🏆 Indicateurs avec filtrage optimal du bruit de marché (pour sélectionner les points d'ouverture et de clôture des positions).
2) 🏆 Indicateurs statistiques (pour déterminer la tendance mondiale).
3) 🏆 Indicateurs d'études de marché (pour clarifier la microstructure des prix, construire des canaux, identifier les différences entre les inversions de tendance et les reculs).
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☛ Plus d'informations sur le blog https://www.mql5.com/en/blogs/post/741637
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:
(1) market entry points are determined,
(2) the positions of stop-loss and profit and their order (time and number of points) of movement are determined,
(3) 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.
Subscribe to my channel and you will be aware of my latest developments in the field of trading
https://www.mql5.com/en/channels/statlab
There is a little more order in the stock market than in the foreign exchange market. Here you can rely on fundamental data on the economic condition (financial statements, etc.) of the companies that issue the respective shares. But here, in our time, when the global crisis is approaching, the data provided by even reputable experts can be unreliable. However, the indicators I provide are better applied to the stock market, which is more orderly.
Modern profitable indicators https://www.mql5.com/en/blogs/post/741637
The Channel Builder (CB) or Ivanov Bands indicator is a broad generalization of the Bollinger Bands indicator. First, in CB, the mean 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 algorithms of this indicator are unique and developed by their author
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 “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.
Indicator description. 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
There is a little more order in the stock market than in the foreign exchange market. Here you can rely on fundamental data on the economic condition (financial statements, etc.) of the companies that issue the respective shares. But here, in our time, when the global crisis is approaching, the data provided by even reputable experts can be unreliable. However, the indicators I provide are better applied to the stock market, which is more orderly.
(Modern profitable indicators 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