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Neural Predictor MT5

The indicator refers to the means of probabilistic analysis.
Prediction is performed by the Monte Carlo method together with a mathematical model of a neuron.
But, the modeling of samples for this method is made not artificially, but comes from the original "nature", that is, from history.
The number of samples and the detail of their modeling is achieved using the lower (relative current) timeframe.


Indicator algorithm :


In general terms, the algorithm boils down to the fact that the indicator is trained on the history of cause-samples and effect-samples, forming a kind of cumulative effect-sample, that is, a forecast.
Next the generated forecast is checked for its expressed tendency, and if it satisfies, then this forecast can be taken into account.
At the same time, the forecast candles are repainted in a different color, and the price levels recommended for placement stop-loss and take-profit also appear.

As an expected result in case of a correct forecast - a profitable deal brings several shares of profit.
As an expected result in case of an incorrect forecast - an unprofitable deal brings only one share of loss.

The frequency of full recalculation/retraining is equal to the frequency of the lower timeframe, which is assigned automatically, or can be selected arbitrarily via the input variable.
The duration of the learning history is also set via the input variable, and the very limitation of this duration excludes the effect of overtraining.


Usage strategy :


The opening of a trading position is carried out according to the forecast, which is displayed by yellow candles.
If a trading position has closed at stop-loss, but the previous forecast continues to exist, then you just need to open a position again.
You should hold an opened trading position no longer than the duration of the forecast, that is, no longer than the ForecastDuration distance (see below).

Use this product only as an auxiliary tool of your trading strategy.
In other words, it is not recommended to use this product as a single strategy.


Input variables :


HistoryDuration - the distance learning history, is set by the number of candles of the current timeframe, if the value is set to zero it is assigned automatically.
MovingSampleDuration - the size (duration) of samples, is set by the number of candles of the current timeframe, if the value is set to zero it is assigned automatically.
ForecastDuration - the size (duration) of forecast, is set by the number of candles of the current timeframe, if the value is set to zero it is assigned automatically.
ForecastRangeMultiplier - the multiplier for the forecast amplitude.
ForecastAcceptableTendency - the value of acceptable forecast tendency, is set in ATR-s.
AverageRangeDuration - the period for calculating the ATR value, is set by the number of candles of the current timeframe, if the value is set to zero it is automatically assigned to HistoryDuration.
AverageRangeMultiplier - the multiplier for the ATR value.
ChartMessage - enabling/disabling the message on the chart window.
AlertMessage - enabling/disabling the alert message about the forecast acceptability.
PushMessage - enabling/disabling the push message about the forecast acceptability.
LowerTimeframe - lower timeframe.
VolumesType - volumes type.

The other input variables relate to the color settings and its purpose is clear from its name.


Indicator buffers :


PredictedHighValues - high price values of predicted candles.
PredictedLowValues - low price values of predicted candles.
PredictedOpenValues - open price values of predicted candles.
PredictedCloseValues - close price values of predicted candles.
PredictedVolumeValues - volume column values of predicted candles.

The indicator buffers are not displayed on the chart (the default color is None), because they are intended only when the indicator is called from the outside.
The example code for calling the indicator and checking the acceptability of the forecast tendency value is attached on the "Comments" tab.


Note :


The screenshots show the engineering version of the product in the form of an indicator for the subwindow.

The final version of the product is made in the form of an indicator for the main window and displays only predicted candles.


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Tired of plotting support and resistance lines? This is a multi-timeframe indicator that detects and plots supports and resistance lines in the chart with the same precision as a human eye would. As price levels are tested over time and its importance increases, the lines become thicker and darker, making price leves easy to glance and evaluate. [ Installation Guide | Update Guide | Troubleshooting | FAQ | All Products ] Boost your technical analysis Customizable timeframe selection Read pri
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3.8 (5)
The indicator displays peak levels of activity formed by the maximum volume, tracks the correlation of the candles on all timeframes (from the highest to the lowest one). Each volume level is a kind of key trading activity. The most important cluster is inside a month, week, day, hour, etc. Indicator operation features A volume level receives Demand status if the nearest volume level located to the left and above has been broken upwards. A volume level receives Supply status if the nearest vol
The balance of supply and demand is a simple and effective market analysis method. The supply and demand diagram can show you in advance, even before the trend reversal, where the supply ends and the demand is already emerging, where the demand ends and the supply is emerging, while substantially increasing the probability of making a deal in the right direction and with a high profit factor. Indicator signals The indicator uses the price/volume values to generate signals: ED – excess demand.
The utility refers to probabilistic analysis tools, in particular the Monte Carlo method. The Monte Carlo method is defined as the simulation of processes in purpose to evaluate their probabilistic characteristics and apply them to the solvable task. Operation features The simulation uses a tick model with the subsequent transformation to the candles form, as a model as close as possible to the real market process. The utility generates a stream of a random tick sequence until a result with t
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Evgeny Shevtsov
5 (2)
The indicator calculates volume profiles dynamically and displays the result as VAL, VAH and POC curves. Indicator features The indicator uses the historical data of the lower (relative to the current) timeframes for calculations: M1 - for timeframes up to H1, M5 - for timeframe H1, M15 - for timeframe H4, H1 - for timeframe D1, H4 - for timeframe W1, D1 - for timeframe MN. The color of the DPOC curve sections is determined by comparing the volume of the POC levels of all profiles that make u
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Version 2.1 2023.11.07
The new input variable ForecastDrawing specifies how the forecast will be displayed:
- Always - the forecast is always displayed (either acceptable or unacceptable),
- AcceptableOnly - the forecast is displayed only if it is acceptable based on its expressed tendency.
Version 2.0 2023.07.02
Added options for including time samples (input variable "MovingSampleIncludedTime").
Version 1.9 2023.04.21
The indicator is recompiled in MT5 build 3683.
Version 1.8 2023.02.15
The input variable "HistoryOffset" sets the left offset of the initial point of calculation of the forecast, and, accordingly, the location of the forecast itself.

The input variable "MovingSampleParts" sets the number of parts of a composite image.
For example, if the value of "MovingSampleParts" is 2, the image will be composed of two parts (as two separate images), where each part has a duration of "MovingSampleDuration".

The input variable "MovingSampleIncludedPrice" sets the contents of the price image :
- C - only the closing price,
- CO - opening and closing prices.

The input variable "MovingSampleIncludedVolume" sets the contents of the volume image :
- V - volumes,
- BS - buy and sell volumes,
- VBS - volumes, as well as buy and sell volumes.
Version 1.7 2022.12.07
For the input variable "ForecastAcceptableTendency" has been created an algorithm for its automatic assignment.
If this input variable is set to zero, its value is assigned automatically.

The new input variable "AssociatedTimeframe" sets the binding of the indicator to work only on the specified timeframe.
This function allows to install multiple instances of the indicator with different input settings to the same chart window.
As a result, each instance of the indicator works only on the timeframe to which it was assigned, and does not work (does not consume computing resources) on other timeframes.
Version 1.6 2022.10.28
An additional buffer "OutputParameters" has been created to transfer data when the indicator is called from the outside.

The buffer contains the following data :
Index 0 - duration of learning history,
Index 1 - duration of samples,
Index 2 - duration of forecast,
Index 3 - period for calculating ATR value,
Index 4 - lower timeframe,
Index 5 - recommended position opening price,
Index 6 - recommended stop-loss price,
Index 7 - recommended take-profit price,
Index 8 - amplitude of the forecast image in the positive direction (relative to the opening price of the forecast),
Index 9 - amplitude of the forecast image in the negative direction (relative to the opening price of the forecast),
Index 10 - ATR value.

An example of the source code for calling the indicator using this buffer is attached on the "Comments" tab.
Version 1.5 2022.10.13
A new input variable "DealTendency" has been added, which sets the takeprofit/stoploss ratio for graphical marks, which display the recommended deal prices levels.
Version 1.4 2022.07.27
Minor flaws in the source code have been eliminated.