Aleksey Ivanov / 个人资料
- 信息
6+ 年
经验
|
32
产品
|
136
演示版
|
0
工作
|
0
信号
|
0
订阅者
|
-------------------------------------------------------------
💰 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)。
---------------------------------------------------------------------------
☛ 博客中的更多信息 https://www.mql5.com/en/blogs/post/741637
使用作者开发的过滤方法的 “ 敏感信号 ” 指示器允许以高概率建立真实趋势运动的开始。该指标过滤随机价格走势,因此对货币兑换交易非常有效。作者开发的过滤在几次迭代中进行,揭示了常规价格运动的真实轨迹(更确切地说,这种运动的最可能的曲线)并绘制它。 “敏感信号”指示器的指示生动,非常简单,不需要注释。蓝色三角形位于价格运动的常规成分的上升趋势中,红色三角形呈下降趋势。因此,当红色三角形被蓝色替换时,买入的入口点。当蓝色三角形被红色替换时,您需要打开一个卖出位置。 指标的敏感度级别由选项决定 « Select sensitivity level» 。同时,您需要了解增加灵敏度级别不仅会减少信号的延迟,还会增加发出错误信号的可能性。 箭头也指示了价格走势发生变化的可能时刻。 指标还认为止盈是信号后价格达到的最可能值。 该指标计算并显示止损仓位线,该止损位线是根据价格概率的当前分布以及趋势逆转之前由止损价平仓的所选概率水平来计算的。
Principles of construction of the indicator. 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/users/60000382/seller#products
Signal Bands is a sensitive and convenient indicator, which performs deep statistical processing of information. It allows to see on one chart (1) the price trend, (2) the clear price channel and (3) latent signs of trend change. The indicator can be used on charts of any periods, but it is especially useful for scalping due to its high sensitivity to the current market state.
The Bollinger Bands without lag (BBWL) indicator is a very effective (for manual and automatic trading) development of the famous Bollinger Bands indicator (BB). The BBWL indicator is constructed in the same way as a classic BB, but only on the basis of the non-lagging moving average.
Structure of the indicator. The Cunning crocodile indicator consists of three moving averages (applied to the price Median price = (high + low)/2 ) : 1) the usual MA ( SMA , EMA , SMMA , LWMA ) or the mean <X> of the process X and her two generalizations 2) <XF> = <X / <X >> * <X> and 3) <XS> = <X * <X >> / <X> with the same
Iterative Moving Average – IMA. IMA is obtained by correcting the usual MA. The correction consists in addition to MA averaged difference between the time series (X) and its MA, i.e. IMA(X)=MA(X) + MA ( Х -MA(X)). Correction is done in several iterations (and, exactly, 2 iterations in this indicator) and with a change in the averaging period