Monte Carlo Predictor MT4

5

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 the best similarity to the original sample is obtained, and continues this stream as an expected further development of events.

This method of forecasting is based on synchronization of numerical distribution of the generated instance and the original sample.


Сontrol

The utility is controlled by a single button that has several states:

  • Pause - the utility is idle, pressing the button starts the process and puts the utility in the "Seek" state.
  • Seek - the utility works and searches for the most suitable instance, pressing the button puts the utility in the "Pause" state.
  • Satisfactory or Wonderfully - the result of verification of the generated instance and the original sample, pressing the button starts the continuation of the process and puts the utility in the "Seek" state.


Input variables

  • Candles - number of candles taken from the chart as the reference area.
  • Forecast - forecast size as a percentage of the total volume of the candles of the reference area.
  • Similarity - similarity criterion, as the number of candles as a percentage of the number of candles of the reference area, is unacceptable to fall outside the channel of reconciliation at closing prices.
  • Channel - width of the reconciliation channel in standard deviations, as the lower and upper bounds, is unacceptable to fall outside at closing prices.
  • Scale - multiplier for the tick size that controls the amplitude of the generation.
  • Norm - volume normalizer, this parameter slightly reduces the quality of simulation, but significantly speeds up the process of finding instances:
    • for value of 0 - normalization is not performed.
    • for values over 500 - normalization is performed relative to the total value of the volume columns of the candles of the reference area.
    • for values from 10 to 200 - normalization is performed relative to the average value of the volume columns of the candles of the reference area.
    • for values from 200 to 500 - normalization is performed relative to the maximum value of the volume columns of the candles of the reference area.
  • Shift - shift in history, allows to evaluate and adjust the quality of forecasts on the existing history.
  • Rand - dimension of the random number generator.
  • Alerts - notification method when the searching has finished.
  • Visible - displays the process, always or only when the searching has finished.
  • Pinpoints - enable/disable the control points when comparing the generated instance and the reference area.
  • Liquidity - enable/disable the follow of the daily template of tick activity for the forecasted candles.
  • Volumes - volume scale used in calculations, tick or real.

Other variables are related to color settings, and their purpose becomes clear from their names.


Features of testing trial version

  • In the strategy tester set the "Every tick" mode.
  • Adjust the tick rate to approximately no more than one tick per second.
  • Visualization of the process in the MT4 strategy tester is less dynamic than on a real chart, so just switch the utility to the "Seek" state and expect the result as a forecast in the form of yellow candles.
  • Also use the input variable "Shift" according to its purpose.


Useful notes

  • The forecast should not be taken as the ultimate truth.
  • Also should not to focus on the forecasted candles, as if they already exist.
  • Pay attention mainly to the direction of the forecast, as well as the intensity of this direction.
  • Additionally perform a visual verification of the generated instance and the reference area.
  • Use the utility only as an accessory tool in conjunction with your main trading strategy.

Comentários 3
nicolaeadrian
148
nicolaeadrian 2021.11.27 16:33 
 

Useful tool and very good customer service

jmhuang
3146
jmhuang 2020.11.15 11:22 
 

i have tried many predictor indicators but have been disappointed. But finally a decent indicator which i am getting consistent results. Thanks a lot to the author. Kudos.

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Seconds Chart — uma ferramenta exclusiva para criar gráficos de segundos no MetaTrader 4 . Com o Seconds Chart , você pode criar gráficos com períodos definidos em segundos, proporcionando flexibilidade e precisão ideais para análise, indisponíveis em gráficos padrão de minutos ou horas. Por exemplo, o período S15 indica um gráfico com velas de 15 segundos. Você pode usar quaisquer indicadores, Expert Advisors e scripts com a mesma facilidade dos gráficos padrão. Diferente das ferramentas padrão
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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 up
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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 indica
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 th
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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 indica
The indicator colors the candles relative to their volume delta. The calculation of the candles delta is based on the tick history or on the deals tape history (see below for a description of the input variable "Volumes"). Coloring is performed by two parameters : by delta sign, as candle color, by delta value, as candle color contrast against chart window background color. In addition to coloring the candles, the indicator also displays the delta profile on the interval specified by the user
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Tuanyer De Los Santos
1478
Tuanyer De Los Santos 2022.12.16 22:51 
 

O usuário não deixou nenhum comentário para sua avaliação

nicolaeadrian
148
nicolaeadrian 2021.11.27 16:33 
 

Useful tool and very good customer service

jmhuang
3146
jmhuang 2020.11.15 11:22 
 

i have tried many predictor indicators but have been disappointed. But finally a decent indicator which i am getting consistent results. Thanks a lot to the author. Kudos.

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