Aleksey Ivanov / Профиль
- Информация
6+ лет
опыт работы
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32
продуктов
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135
демо-версий
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0
работ
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0
сигналов
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0
подписчиков
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Трейдингом занимаюсь лет пятнадцать с акцентом на поисках математических закономерностей рынка.
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💰 Представляемая продукция:
1) 🏆 Индикаторы с оптимальной фильтрацией рыночных шумов (для выбора точек открытия и закрытия позиций).
2) 🏆 Статистические индикаторы (для определения глобального тренда).
3) 🏆 Индикаторы исследования рынка (для выяснения микроструктуры цены, построения каналов, идентификации отличий разворотов тренда от откатов).
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☛ Более подробная информация в блоге https://www.mql5.com/en/blogs/post/741637
The Estimation moving average without lag (EMAWL) indicator calculates the non-lagging moving average.
Принцип работы индикатора . Простое скользящее среднее (SMA) с периодом усреднения (2n+1) баров всегда получается отстающим на n баров. Такое сильное запаздывание, если SMA или другие виды скользящих средних, служат основой для принятия торговых решений, не позволяет своевременно открывать и вовремя закрывать позиции, что приводит к убыткам.
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise.
The Identify Trend indicator, using fairly simple but robust filtering methods (based on the moving median), allows determined (1) the beginning of a true trend movement very precisely and, most importantly, with a small delay, and (2) identifying the flat. Such an indicator can be used for trading scalper strategies as well as using long-term trading strategies.
I present an indicator for professionals. ProfitMACD is very similar to classic MACD in appearance and its functions. However, ProfitMACD is based on completely new algorithms (for example, it has only one averaging period) and is more robust, especially on small timeframes, since it filters random price walks.
Alligators from the Alligator Analysis indicator is based, on the same principle as the classic “Alligator”, but on different parts of a number of Fibonacci numbers, as well as on different moving average averaging algorithms.
The Cunning crocodile indicator consists of three moving averages (applied to the price Median price = (high + low)/2): 1) the usual SMA or the mean of the process X and her two generalizations 2) XF and 3) XS with the same averaging period. All three curves intersect at common points that (such an intersection in which the cunning crocodile, unlike the usual one, "never bites his tongue") indicates a change in the trend in the price movement. Formulas for these generalized averages, one of which is faster, and the other is slower than the usual SMA, are presented in the last screenshot.
The Identify Trend indicator, using fairly simple but robust filtering methods (based on the moving median), allows determined (1) the beginning of a true trend movement very precisely and, most importantly, with a small delay, and (2) identifying the flat. Such an indicator can be used for trading scalper strategies as well as using long-term trading strategies.
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise.
The Identify Trend indicator, using fairly simple but robust filtering methods (based on the moving median), allows determined (1) the beginning of a true trend movement very precisely and, most importantly, with a small delay, and (2) identifying the flat. Such an indicator can be used for trading scalper strategies as well as using long-term trading strategies.
Индикатор Identify Trend , используя и довольно простые, но робастные методы фильтрации (основанные на скользящей медиане - алгоритм XM) и более сложные, разработанные автором, алгоритмы (XC, XF, XS, четыре вида не отстающих скользящих средних SMAWL, EMAWL, SSMAWL, LWMAWL), вместе с дополняющими их методами кластерной фильтрации (кластерный мультивалютный анализ используется для более надежной