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Neural Average

Neural Average is a fully automated trading advisor. In addition to the scalping algorithm, the system for monitoring the market through the volumes and coefficients of oscillations and filtering the opening of transactions through custom macros - determinants, a neural network emulator is also integrated into the software basis of this advisor. The above structure allows you to effectively filter the flow of potential deals based on the relevance of the context and conjuncture, as well as by the coefficient of the potential deal validity. This gives the user the opportunity, through mechanical regulation of the input parameters, to ensure a positive correlation of winning trades to losing ones.
Features:
• The advisor has an integrated multi-adaptability function, which allows it to be configured for any stock / currency and for any timeframe.
• Multifunctionality of the advisor allows it to function on any brokerage floor.
• The advisor can work on any leverage.
 Manufacturer's recommendations
• The manufacturer recommends using the basic settings.
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Friendly Bot is a multi-currency, multi-functional advisor that works on any time frame and in any market conditions. - The robot’s operation is based on an averaging system with a non-geometric progression of constructing a trading grid. - Built-in protection systems: special filters, spread control, internal trading time limitation. - Construction of a trading network taking into account important internal levels. - Ability to customize the aggressiveness of trading. The Expert Advisor come
Get to know Our cutting-edge trading algorithm: The EA is currently working on 17 currency pairs on the H4 timeframe. Set files are provided in the comment sectio n, always use them! The recommended testing period is minimum 5 years since it is a long term EA. The EA has been tested for 10 years with high quality tick data + variable spread + commision + swap, and stress tested with extreme settings is quant analyzer's Monte Carlo analysis. You can see the full portfolio analysis in the screens
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