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PhythonMLCrypto

This multicurrency Expert Advisor uses 11 pairs of cryptocurrencies for trading. For predictions, the advisor uses models trained by the machine learning algorithm in the Python language environment.

Settings for PhythonMLCrypto

Do not forget to enable other cryptocurrencies after the update (parameter Active = true), by default only BTCUSD works

You can also separately set a lot for each cryptocurrency (you must set the UseSameLotSizeForAllPairs = false parameter), by default the lot for all cryptocurrencies is 0.01

A big plus of this advisor is that it can use several packages of models trained according to different criteria for each pair separately, now it is possible to select 3 different packages of models together or separately, in the future these models will be improved and added with the next update of the advisor.

The Expert Advisor can be easily and quickly optimized over the last period of real trading by simply setting these 3 packages Model1, Model2, Model3 in optimization as parameters, and the optimizer in the strategy tester will select the most favorable combination of these packages and cryptocurrency pairs for the last trading period.

Parameter Models for Bollinger Bands indicator :

Models1 - a package of models trained for a period of time from 2007 to 2021

Models2 - a package of models trained over a period of time from 2020 to 2022

Models3 - a package of models trained over a period of time from 2018 to 2020

I use the Roboforexbroker, where you can trade a lot of cryptocurrencies. If you do not have any of these cryptocurrencies for your broker, you can easily disable them in the advisor settings.

If the advisor proves itself, I will add new cryptocurrencies when upgrading in the future.

The default settings are for the BTCUSD H1 currency pair, and use Models2,  the other 6 cryptocurrency pairs are disabled by default
  • It is advisable to conduct testing from 2020, since the history of all 7 cryptocurrencies definitely exists from this period
  • Before testing in the strategy tester or installing the EA on the chart, make sure that all 4 currency pairs were visible and added to the terminal
  • In the strategy tester, set the "Open prices only" trading mode
  • Also, for quick testing, you can turn off the visualization of the strategy tester.
  • At the end of testing, in the log tab, you can view information on the profitability and maximum drawdown of each pair separately
    Description of some of the EA settings
    • UseSameLotSizeForAllPairs - the ability to select the lot size for each pair separately, true by default, one lot size for all specified by the parameter above
    • UseMaxAllTakeProfitProcent - enables the global take profit as a percentage of the current profit specified in the MaxAllTakeProfitProcent parameter, after its execution all current orders are closed. Test only on all ticks or 1 minute OHLC
    • UseMaxStopLossProcent - turns on the global stop loss as a percentage of the current profit specified in the MaxAllStopLossProcent parameter, after its execution, all current orders are closed. Test only on all ticks or 1 minute OHLC
    • MaxProcentDropDown - automatic sequential closing of positions if the drawdown exceeds the percentage specified in this parameter, if 0 is specified this function is disabled by default (for example, MaxProcentDropDown = 30 means if the drawdown exceeds 30%, positions will be gradually closed until the drawdown is less than 30%)
    • IsDynamicLot - enable automatic formation of the lot size depending on the balance or free margin
    • is_koef_for_each - if true, then the lot size is formed from the balance for each currency pair separately, if false, then from the total balance or free margin
    • koef - coefficient for forming the lot size, the larger, the greater the risks
    • from - formation of the lot size depending on the balance or free margin
    • CountOfGrid - the number of pending orders in the grid
    • GridDistanseBegin - the beginning of the first pending order in the grid from the current price
    • GridDistanseEnd - end of the last pending order in the grid from the current price
    • GridKoefBegin, GridKoefEnd - distribution of coefficients for multiplying the price of a pending order in the grid


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    Version 1.8 2021.12.26
    Improved old machine learning models, added new cryptocurrencies
    Do not forget to enable other cryptocurrencies after the update (parameter Active = true), by default only BTCUSD works
    You can also separately set a lot for each cryptocurrency (you must set the UseSameLotSizeForAllPairs = false parameter), by default the lot for all cryptocurrencies is 0.01
    Version 1.7 2021.12.15
    Improved machine learning models for predicting trades
    Version 1.6 2021.11.16
    Fix bugs
    Version 1.5 2021.10.07
    Updating all 3 machine learning models
    Version 1.4 2021.06.12
    Improved and optimized advisor
    Version 1.3 2021.05.05
    - added new pairs of cryptocurrencies
    - bugs fixed
    Version 1.2 2021.04.23
    Default settings changed
    Version 1.1 2021.04.22
    Fix bugs