新版黄蝴蝶ZUP_v135 121N

本EA交易使用两个MACD指标. 第一个 MACD 用于寻找交易入口, 第二个用于确定趋势. 资金管理系统基于固定对赌加倍系统, 倍数为两倍.(This EA transaction uses two MACD indicators. The first one is used to find trading entries, and the second one is used to determine trends. The fund management system is based on the fixed bet doubling system, which doubles.)

本地MT4的EA跟单软件，一个发射端，一个接收端，可以设置比例，货币修正，风控等，目前是EX4的，大神看看能不能搞成MQ4。(Local MT4 EA documentary software, a transmitter, a receiver, can set the proportion, currency correction, wind control, etc., is currently EX4, God to see if we can achieve MQ4.)

说明：  MQL4 编程参考+程序员手册+命令手册 打包下载(MQL4 Program Refrence)

说明：  股票期货外汇等证券投资趋势指标，能够在行情软件中显示趋势(Investment)

外汇源码，供大家学习参考。。。。。。。。。。。。。(Source of foreign exchange, consult for everybody to learn)

先测试下，通达信公式学习教程，初学者很有用，建议收藏，谢谢！！(Fourthly early rising gives us enough time to get ready for our worksuch as to wash our faces and hands and eat our breakfast properly.)

MT4源程序，两年收益1万做到20万(MT4 for mq4 MT4 for mq4MT4 for mq4)

软件:关于看期货之类的 内容包含现货黄金(un systeme sur la invesstisement ,include beacoup de chose )

上期所最新期货ctp文档，适合对交易有兴趣的研究者使用。(The latest CTP document of the latest issue is suitable for researchers interested in trading.)

经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破?，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。 该方法的关键是经验模式分解，它能使复杂信号分解为有限个本征模函数（Intrinsic Mode Function，简称IMF），所分解出来的各IMF分量包含了原信号的不同时间尺度的局部特征信号。经验模态分解法能使非平稳数据进行平稳化处理，然后进行希尔伯特变换获得时频谱图，得到有物理意义的频率。(The Empirical Mode Decomposition (EMD) method is considered as a major breakthrough in the linear and steady state spectrum analysis based on Fu Liye transform in 2000. The method is based on the time scale characteristics of the data itself to decompose the signal without setting any base functions in advance. The key of this method is the empirical mode decomposition, which can decompose the complex signal into a limited eigenmode function (Intrinsic Mode Function, for short, IMF), and the decomposed IMF components include the local characteristic signals of the different time scales of the original signal. The empirical mode decomposition method can smooth the non-stationary data, and then obtain the time-frequency spectrum by Hilbert transform to get the physical meaning frequency.)