Aleksey Ivanov / 个人资料
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💰 生產的產品:
1) 🏆 具有对市场噪音进行最佳过滤的指标(用于选择开仓和平仓点)。
2) 🏆 统计指标(确定全球趋势)。
3) 🏆 市场研究指标(以澄清价格的微观结构,建立渠道,识别趋势反转和回调之间的差异)。
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☛ 博客中的更多信息 https://www.mql5.com/en/blogs/post/741637
识别趋势指标使用基于移动中位数的健壮过滤方法 -XM 算法和更复杂的 ( 由作者开发 XC,XF,XS, 四种类型的移动平均线,无延迟 SMAWL, EMAWL, SSMAWL , LWMAWL ) 算法。“识别趋势”指示器使您可以非常准确地(最重要的是,稍有延迟)确定(1)真实趋势运动的开始,以及(2)识别侧面趋势(平坦)。这样的指标既可以用于根据剥头皮交易策略进行交易,也可以在使用长期交易策略时使用。上一个屏幕截图详细介绍了指标操作算法。
https://www.mql5.com/en/market/product/34818
The Channel Builder (CB) or Ivanov Bands indicator is a broad generalization of the Bollinger Bands indicator. First, in CB, the mean line is calculated using various averaging algorithms. Secondly, the mean deviations calculated by Kolmogorov averaging are plotted on both sides of the middle line M.
The middle line M, besides the standard SMA, EMA, SMMA and LWMA averaging algorithms, can be Median = (Max + Min) / 2 sliding median (which is the default). In addition, for the calculation of MF and MS, the moving averaging algorithms (fast) and (slow) are used, which are developed by the author. These algorithms specifically filter out the harmful noise that is largely present in the highly volatile currency market. The filtering algorithm allows you to quickly identify the beginning of the trend. And the filtering algorithm allows you to better define the transition to flat. And, finally, CB allows you to build a weighted by the volume averaging of the price MV.
Alligators from the AA 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 Absolute Bands (AB) indicator is reminiscent of the Bollinger Bands indicator with its appearance and functions, but only more effective for trading due to the significantly smaller number of false signals issued to them. This effectiveness of the Absolute Bands indicator is due to its robust nature.
https://www.mql5.com/en/market/product/34818
The Channel Builder (CB) or Ivanov Bands indicator is a broad generalization of the Bollinger Bands indicator. First, in CB, the mean line is calculated using various averaging algorithms. Secondly, the mean deviations calculated by Kolmogorov averaging are plotted on both sides of the middle line .
The middle line , besides the standard SMA, EMA, SMMA and LWMA averaging algorithms, can be Median = (Max + Min) / 2 sliding median (which is the default). In addition, for the calculation of , the moving averaging algorithms (fast) and (slow) are used, which are developed by the author. These algorithms specifically filter out the harmful noise that is largely present in the highly volatile currency market. The filtering algorithm allows you to quickly identify the beginning of the trend. And the filtering algorithm allows you to better define the transition to flat. And, finally, CB allows you to build a weighted by the volume averaging of the price .
Alligators from the AA 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 Absolute Bands (AB) indicator is reminiscent of the Bollinger Bands indicator with its appearance and functions, but only more effective for trading due to the significantly smaller number of false signals issued to them. This effectiveness of the Absolute Bands indicator is due to its robust nature.
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. The classic MACD indicator (Moving Average Convergence / Divergence) is a very good indicator following the trend, based on
Indicator description. The “ Alligator Analysis ” ( AA ) indicator allows you to build various (by averaging types and by scales) “ Alligators ” and their combinations, i.e. allows you to analyze the state of the market based on the correlation of this state with a whole range of different " Alligators ". The classic " Alligator " by Bill Williams is based on moving averages and Fibonacci numbers, which makes it one of the best
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Channel Builder FREE
https://www.mql5.com/en/market/product/34818
https://www.mql5.com/en/market/product/34818
The Channel Builder (CB) or Ivanov Bands indicator is a broad generalization of the Bollinger Bands indicator. First, in CB, the mean X line is calculated using various averaging algorithms. Secondly, the mean deviations calculated by Kolmogorov averaging are plotted on both sides of the middle line .
The middle line , besides the standard SMA, EMA, SMMA and LWMA averaging algorithms, can be Median = (Max + Min) / 2 sliding median (which is the default). In addition, for the calculation of , the moving averaging algorithms XF (fast) and XS (slow) are used, which are developed by the author. These algorithms specifically filter out the harmful noise that is largely present in the highly volatile currency market. The filtering algorithm XF allows you to quickly identify the beginning of the trend. And the filtering algorithm XS allows you to better define the transition to flat. And, finally, CB allows you to build a weighted by the volume averaging of the price XV.
Channel Builder(CB)またはIvanov Bands指標は、Bollinger Bands指標を広く一般化したものです。これらの一般化は以下の通りです。まず、CBにおいて、平均線<X>が様々な平均化アルゴリズムを用いて計算される。次に、CBでは、平均偏差の計算に異なるコルモゴロフ平均化が使用されます。
標準のSMA、EMA、SMMA、およびLWMAの平均化アルゴリズムに加えて、中央の線は、中央値=(最大+最小)/ 2スライディング中央値(既定値)になります。さらに、著者が開発した特別な(高速)および(低速)のスライディング平均アルゴリズムを使用してを計算します。これらのアルゴリズムは、変動の激しい通貨市場に存在する貿易集約的な大きなノイズをフィルタリングします。つまり、フィルタリングアルゴリズムを使用すると、トレンドの始まりをすばやく判断できます。また、フィルタリングアルゴリズムを使用すると、フラット状態への出力をより適切に決定できます。最後に、CBでは、取引量の重みで移動平均を構築する可能性も含まれます。
https://www.mql5.com/en/market/product/34818
The Channel Builder (CB) or Ivanov Bands indicator is a broad generalization of the Bollinger Bands indicator. First, in CB, the mean X line is calculated using various averaging algorithms. Secondly, the mean deviations calculated by Kolmogorov averaging are plotted on both sides of the middle line .
The middle line , besides the standard SMA, EMA, SMMA and LWMA averaging algorithms, can be Median = (Max + Min) / 2 sliding median (which is the default). In addition, for the calculation of , the moving averaging algorithms XF (fast) and XS (slow) are used, which are developed by the author. These algorithms specifically filter out the harmful noise that is largely present in the highly volatile currency market. The filtering algorithm XF allows you to quickly identify the beginning of the trend. And the filtering algorithm XS allows you to better define the transition to flat. And, finally, CB allows you to build a weighted by the volume averaging of the price XV.


