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AIS TrailingStop Moral Expectation MT5

The main purpose of this trading expert is to support open positions using a trailing stop. The expert can track positions opened both manually and by other advisers.
The calculation of stop-loss and take-profit levels is based on statistical relationships in price changes on the market. Thanks to this, the adviser chooses the best balance between profit and risk. At the first opportunity, the expert moves the position to breakeven, after which it begins to follow the price. The breakeven point of the position is calculated taking into account the accumulated swap and commission.
Also, the ability to open positions using your own algorithms has been added. Because of this, significant changes have been made to the adviser, including to the input parameters.

Trailing stop parameters:

  • Trailing Stop timeframe - the timeframe that the adviser uses to calculate stop-loss and take-profit levels;
  • UseTakeProfit - use your own take-profit when tracking positions.

Main parameters of trading strategies:
  • Lot - the volume of positions that the expert will open if its internal strategies are used;
  • Slippage - price slippage (minimum value 1);
  • Best price - a filter that is used when the expert opens positions;
  • MinRisk - controls risks. Enabling this filter reduces risks, but also reduces profitability.

Strategy parameters:
  • Symbol Name - the symbol that the expert should track. If the parameter is not specified, the symbol on which the expert is installed is used;
  • Strategy - choosing your own trading strategy. None - no trading on the symbol;
  • Strategy parameter - strategy parameter;
  • Trigger level - trigger level for the strategy. Valid values ​​are 1 - 33.

An example of using the expert for a trailing stop. Install the expert on any chart. Set the required parameters Trailing Stop timeframe, UseTakeProfit and Slippage. After that, fill in the Symbol Name fields with the symbols that the expert should track.

To use your own trading strategies, select the desired strategy and its parameters for each symbol.
If you allow the advisor to open positions itself, then various options are possible:
one strategy is used on one symbol (Fig. 1);
several different strategies are used on one symbol (Fig. 2);
one strategy with different parameters is used on one symbol (Fig. 3);
using different symbols and strategies, Fig. 4 shows an example of trading on 2 symbols.

When increasing the Trailing Stop timeframe parameter, you should choose more reliable signals. I strongly recommend not setting this parameter higher than the current timeframe. Increasing this parameter can increase the profitability of the strategy. But, it will also lead to an increase in the time it takes to hold the position open (Fig. 5).

The UseTakeProfit parameter can also affect the trading results (Fig. 6).

Disabling the Best price and MinRisk filters increases the number of positions opened, which can lead to an increase in the load on the deposit (Fig. 7).
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Gapscalper AI is an advanced AI-powered trading algorithm that intelligently detects Fair Value Gaps (FVG) and combines them with traditional technical analysis to forecast price movements with high precision. At its core, the system leverages a proprietary reinforcement learning model that has been meticulously trained to identify hidden market inefficiencies and exploit them with dynamic trade execution strategies. This cutting-edge approach allows the EA to recognize high-probability setups a
Big Forex Players MT5
Marzena Maria Szmit
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We proudly present our cutting-edge robot, the  Big Forex Players EA  designed to maximize your trading potential, minimize emotional trading, and make smarter decisions powered by cutting-edge technology. The whole system in this EA took us many months to build, and then we spent a lot of time testing it. This unique EA includes three distinct strategies that can be used independently or in together. The robot receives the positions of the  biggest Banks  (positions are sent from our database t
Quantum StarMan
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Hello everyone, let me introduce myself: I am Quantum StarMan, the electrifying, freshest member of the Quantum EAs family. I'm a fully automated, multicurrency EA with the power to handle up to 5 dynamic pairs: AUDUSD, EURAUD, EURUSD, GBPUSD, and USDCAD . With the utmost precision and unwavering responsibility, I'll take your trading game to the next level. Here's the kicker: I don't rely on Martingale strategies. Instead, I utilize a sophisticated grid system that's designed for peak perfor
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The script is based on the simulation of trade transactions using a random number generator. This allows you to get completely different results, even with the same input parameters. When you run the script, a dialog box opens in which you can set the desired values ​​for external variables. In the  Trading options  block, the basic parameters that are necessary for trading modeling are defined. Start Balance  - sets the initial size of the trade balance. Number Trade  - sets the number of trad
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MinDeposit MT5
Aleksej Poljakov
3 (1)
The script analyzes the history of quotes and gives recommendations on the minimum deposit. The calculations take into account the variability of prices and the standard deviation. Margin requirements for the instrument are also taken into account. The result of the script is the minimum recommended deposit for trading the given currency pair.
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MinDeposit
Aleksej Poljakov
5 (1)
The script analyzes the history of quotes and gives recommendations on the minimum deposit. The calculations take into account the variability of prices and the standard deviation. Margin requirements for the instrument are also taken into account. The result of the script is the minimum recommended deposit for trading the given currency pair.
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This script is designed so that the trader can determine the average duration of trade transactions, at which the ratio of possible profits and losses will be optimal. First, let's look at the general approach to determining the optimal duration of trade transactions. We introduce the following variables: R   - the result of the transaction; T   - the time during which the transaction was open; W - the time between the closing of the previous transaction and the opening of the next one. Every tr
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Choosing the levels of StopLoss and TakeProfit can have a very strong impact on the overall performance of trading. In addition to the obvious parameters of a trade transaction - the size of a possible win or probable loss - the levels of StopLoss and TakeProfit also affect the expected duration of the transaction, and the profitability of trading in general. If you have already determined the optimal transaction duration using the “ AIS-ODT ” script, then you can begin to determine the paramete
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Choosing the levels of StopLoss and TakeProfit can have a very strong impact on the overall performance of trading. In addition to the obvious parameters of a trade transaction - the size of a possible win or probable loss - the levels of StopLoss and TakeProfit also affect the expected duration of the transaction, and the profitability of trading in general. If you have already determined the optimal transaction duration using the “ AIS-ODT ” script, then you can begin to determine the paramete
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The script is based on the simulation of trade transactions using a random number generator. This allows you to get completely different results, even with the same input parameters. When you run the script, a dialog box opens in which you can set the desired values ​​for external variables. In the Trading options block, the basic parameters that are necessary for trading modeling are defined. Start Balance - sets the initial size of the trade balance. Number Trade - sets the number of trade tr
FREE
This script is designed so that the trader can determine the average duration of trade transactions, at which the ratio of possible profits and losses will be optimal. First, let's look at the general approach to determining the optimal duration of trade transactions. We introduce the following variables: R   - the result of the transaction; T   - the time during which the transaction was open; W  - the time between the closing of the previous transaction and the opening of the next one. Every t
FREE
The script allows selecting the required 'Filter level' value of the AIS-MTF indicator. Run the script on the required chart and selected timeframe. Once its operation is complete, the HPS.csv file will be created in the Files folder. Open the file. You will see three columns. The 'Filter lvl' column represents the value of the 'Filter level' for the AIS-MTF indicator. Am. dev. - degree and direction of the indicator's deviation from the price level (sorted in ascending order). Negative values i
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This script allows selecting the TakeProfit and StopLoss levels. It analyzes the history data, and then calculates the probability of reaching a given price level. How the script works Suppose you have a trading strategy and you want to select the TakeProfit and StopLoss levels. Run the script and set the parameter: Number of Bars - the average position holding time in bars. Once the script operation is complete, the AIS-PPL.csv file will be created in the Files folder in the terminal data cata
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AIS Correct Averages indicator allows you to determine the beginning of the trend movement in the market. Another important quality of the indicator is a clear signal of the end of the trend. The indicator is not redrawn or recalculated. Displayed values h_AE - the upper limit of the AE channel l_AE - the lower boundary of the AE channel h_EC - High value projected for the current bar l_EC - Low predicted value for the current bar Signals for the indicator The main channel signal is the inters
The AIS Weighted Moving Average indicator calculates weighted moving average, allowing to determine the beginning of market trend. Weights are calculated taking into account the specific characteristics of each bar. This allows filtering random market movements. The main signal, confirming the beginning of a trend, is change in the direction of indicator line movement and the intersection of the indicator lines with the indicator price. WH (blue line) - the weighted average High price. WL (red l
The AIS Advanced Grade Feasibility indicator is designed for forecasting levels that a price can reach in future. Its operation is based on the analysis of the last three bars and creating the forecast. The indicator can be used on any timeframe and any currency pair. Using settings, you can achieve the desired quality of the forecast. Depth of forecast - sets the desired depth of forecast in bars. The recommended values for these parameters are 18-31. You can try beyond this range. But in this
The indicator is designed to measure the price volatility. This allows determining the moments for opening or closing trade positions more accurately. High intensity of the market indicates the instability of its movement, but allows for better results. And, conversely, low intensity of the market indicates the stability of its movement. Parameters Bars to process - the number of bars to measure the price movements. A low value of this parameter allows determining the moments of rapid price mov
This indicator uses the Fibonacci p-numbers to smooth a price series. This allows combining the advantages of the simple and exponential moving averages. The smoothing coefficients depend on the level of the p-number, which is set in the indicator parameters. The higher the level, the greater the influence of the simple moving average and the less significant the exponential moving average. Parameters Fibonacci Numbers Order - order of the Fibonacci p-number, specified by trader. Valid values a
The indicator is based on the analysis of interaction of two filters. The first filter is the popular Moving Average. It helps to identify linear price movements and to smooth minor price fluctuations. The second filter is the Sliding Median. It is a non-linear filter. It allows to filter out noise and single spikes in the price movement. A predictive filter implemented in this indicator is based on the difference between these filters. The indicator is trained during operation and is therefore
This indicator studies the price action as a combination of micro-trends. All micro-trends are analyzed and averaged. Price movement is filtered based on this averaging. IP_High and IP_Low (blue and red dashed lines) show the instantaneous price movement. They display the forecast only for the current price values, taking into account only the number of bars defined by the 'Filter level' parameter. SP_High and SP_Low (blue and red solid lines) smooth the price movements with respect to history.
This indicator implements the process of simple linear smoothing. One of the disadvantages of exponential smoothing is the rapid attenuation of the signal. This does not allow for a full-fledged monitoring of long-term tendency of a price series. Linear smoothing allows fine-tuning the signal filtering. The indicator is configured by selecting the parameters: LP - period of smoothing. The higher the value, the more long-term tendencies are displayed by the indicator. Valid values are from 0 to 2
This script allows selecting the TakeProfit and StopLoss levels. It analyzes the history data, and then calculates the probability of reaching a given price level. How the script works Suppose you have a trading strategy and you want to select the TakeProfit and StopLoss levels. Run the script and set the parameter: Number of Bars - the average position holding time in bars. Once the script operation is complete, the AIS-PPL.csv file will be created in the Files folder in the terminal data cata
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Этот индикатор представляет гибридный фильтр основанный на совместном использовании медианы и скользящей средней. Использование медианы позволяет отфильтровывать аномальные выбросы и случайные импульсы в значениях ценового ряда. При этом на трендовую составляющую медианный фильтр не действует, оставляя ее без изменений. Так как медианный фильтр является нелинейным, то для сглаживания его значений используется скользящая средняя. Такой подход позволяет более точно выделять не только тренд, но и п
This indicator is a combination of two modified Lanczos filters. The first filter serves to extrapolate the price. Based on past values, he predicts a possible price movement within the current bar. That is, it shows what the price would be if the past trends remained unchanged. The second filter for smoothing and averaging prices within the window, determined by the level of the filter. Thanks to the selection of weights, this filter is most actively responding to the periodic component that is
Let's look at the nature of price changes in the Forex market, not paying attention to the reasons why these changes occur. This approach will allow us to identify the main factors affecting the price movement. For example, let's take the opening prices of bars on the EUR-USD currency pair and the H1 timeframe. For these prices, we construct the Lameray diagram (Figure 1). In this diagram, it can be seen that the price movement basically occurs according to a linear equation. To determine the pa
This indicator is more informative. His work is based on the assumption that the price movement in the market can be represented as noise of a particular color, which depends on the parameters of the distribution of price values. Thanks to this, it is possible to analyze the price change from different angles, and considering the price movement as noise of a particular color, one can get information about the current state of affairs in the market and make a forecast about the price behavior. W
Despite some drawbacks of the “ AIS Color Noise Filter ” indicator, the idea to use it to smooth the price series and forecast prices looks quite attractive. This is due to several reasons: first, taking into account several noise components allows building a forecast on factors independent of each other, which can improve the quality of forecasting; secondly, the noise characteristics of the price series behave quite stably throughout the entire history, which makes it possible to obtain stabl
Very often, in the study of financial series apply their smoothing. Using smoothing, you can remove high-frequency components - it is believed that they are caused by random factors and therefore irrelevant. Smoothing always includes some way of averaging the data, in which random changes in the time series mutually absorb each other. Most often, for this purpose, simple or weighted moving average methods are used, as well as exponential smoothing. Each of these methods has its advantages and d
In order to isolate long-term and non-random components, it is necessary to know not only how much the price has changed, but also how these changes occurred. In other words - we are interested not only in the values ​​of price levels, but also in the order in which these levels replace each other. Through this approach, one can find long-term and stable factors that influence (or may influence) the price change at a given point in time. And knowledge of these factors allows you to make a more
One of the powerful methods of analysis is the modeling of financial series using Levy processes. The main advantage of these processes is that they can be used to model a huge number of phenomena - from the simplest to the most complex. Suffice it to say that the idea of ​​the fractal price movement in the market is only a special case of Levy processes. On the other hand, with proper selection of parameters, any Levy process can be represented as a simple moving average. Figure 1 shows an exa
Very often, the trader is faced with the task of determining the extent to which the price may change in the near future. For this purpose, you can use the Johnson distribution type SB. The main advantage of this distribution is that it can be used even with a small amount of accumulated data. The empirical approach used in determining the parameters of this distribution, allows you to accurately determine the maximum and minimum levels of the price channel. These values ​​can be used in differ
This indicator allows you to determine the likelihood that the price will reach one or another level. Its algorithm is quite simple and is based on the use of statistical data on the price levels of a particular currency pair. Thanks to the collected historical data, it is possible to determine the extent to which the price will change during the current bar. Despite its simplicity, this indicator can provide invaluable assistance in trading. So, with its help it is possible to determine TakePr
Stable distributions can be used to smooth financial series. Since a fairly deep history can be used to calculate the distribution parameters, such smoothing may in some cases be even more effective than other methods. The figure shows an example of the distribution of the opening prices of the currency pair " EUR-USD " on the time frame H1 for ten years (figure 1). Looks fascinating, doesn't it? The main idea behind this indicator is to determine the parameters of a stable distribution based
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Version 2.0 2025.01.09
Добавлены собственные торговые стратегии
Version 1.2 2022.06.15
Added new options for the tester.
Version 1.1 2022.06.14
оптимизированы расчеты