Alexander Gromov
Alexander Gromov
  • Bilgiler
8+ yıl
deneyim
4
ürünler
147
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0
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0
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0
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Born in Russia and learned at College of Space Machinery in 2005. Since this time, I’ve worked at several top IT companies from Russia and studied machine learning, maths and data science methods under supervision of lecturers from MIPT (Moscow Institute for Physics and Technology). Since 2016 I develop trading algorithms in collaboration with my friends and colleagues, who possess more than 10 of experience on financial markets.
Alexander Gromov ürün yayınladı

This algorithm uses statistically justified comparison of market data, numerical constant values and output values of Stochastic indicators and Moving Averages in order to take decision whether it is necessary to open a position. Prior to giving birth to a new EA, this logic was created as a result of usage of Stochastic methods and then tested on historical data and checked with Monte Carlo method, which does not guarantee any results in the future, of course. No martingale is used. The robot

Alexander Gromov ürün yayınladı

This algorithm uses statistically justified comparison of historical prices, moving average and output values of Williams R and Stochastic indicators in order to take decision whether it is necessary to open a position. Prior to giving birth to a new EA, this logic was created as a result of usage of stochastic methods and then tested on historical data and checked with Monte Carlo method, which, of course, does not guarantee any results in the future. The bot is designed to trade during evening

Alexander Gromov ürün yayınladı

This algorithm uses statistically justified comparison of numerical constant values and output values of Williams R, CCI and Stochastic indicators in order to take decision whether it is necessary to open position. Prior to give birth to a new EA, this logic was created as a result of usage of stochastic methods and then tested on historical data and checked with Monte Carlo method which does not guarantee any results in the future, of course. The bot is designed to trade during morning hours on

Alexander Gromov ürün yayınladı

This algorithm uses statistically justified comparison of historical prices and output values of the CCI and ATR indicators to decide whether it is necessary to open position. This logic has been created as a result of the use of stochastic methods, it has been tested on history data and verified by the Monte Carlo method, which, of course, does not guarantee future results. The EA is designed to trade EURUSD M15 during morning hours. Despite the fact that this condition is not mandatory, the

Alexander Gromov
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