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Nmt5

这段代码是一个简单的交易专家顾问(Expert Advisor)示例,主要功能如下:
  1. 使用两个移动平均线(MA)作为交易信号:
    • 快速MA(FastMA)和慢速MA(SlowMA)
  2. 初始化函数(OnInit):
    • 创建两个MA指标句柄
    • 设置数组为时间序列模式
  3. 清理函数(OnDeinit):
    • 释放指标句柄,防止内存泄漏
  4. 主要交易逻辑(OnTick):
    • 获取最新的MA值
    • 判断趋势和交易信号
    • 在无持仓时执行交易
  5. 交易规则:
    • 上升趋势+买入信号时开多单
    • 下降趋势+卖出信号时开空单
    • 使用固定的止损和止盈点数
  6. 风险管理:
    • 使用输入参数设置交易手数、止损和止盈
    • 每次只允许一个持仓(inTrade变量)
  7. 使用MQL5的Trade库进行交易操作,简化了下单过程
这个EA适合初学者学习,展示了基本的EA结构和简单的交易策略实现方法。但在实际使用前,还需要进行更多的测试和优化。


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AO Core is the core of the optimization algorithm, it is a library built on the author's HMA (hybrid metaheuristic algorithm) algorithm. Pay attention to the MT5 Optimization Booster product , which makes it very easy to manage the regular MT5 optimizer . An example of using AO Core is described in the article: https://www.mql5.com/ru/articles/14183 https://www.mql5.com/en/blogs/post/756510 This hybrid algorithm is based on a genetic algorithm and contains the best qualities and properties of
This is standard library built for flexible neural Networks with performance in mind. Calling this Library is so simple and takes few lines of code:    matrix Matrix = matrix_utils.ReadCsv( "Nasdaq analysis.csv" );       matrix x_train, x_test;    vector y_train, y_test;         matrix_utils.TrainTestSplitMatrices(Matrix,x_train,y_train,x_test,y_test, 0.7 , 42 );    reg_nets = new CRegressorNets(x_train,y_train,AF_RELU_,HL, NORM_MIN_MAX_SCALER); //INitializing network       reg_nets.RegressorN
Diese Bibliothek wird zum Sortieren von Schlüssel- und Wertarrays verwendet, wir müssen oft Werte sortieren. wie in der Python-Sprache sorted(key_value.items(), key = lambda kv:(kv[ 1 ], kv[ 0 ])) Importfunktion Beispiel für Nutzungsszenarien 1. Grid EA Orders werden nach dem Eröffnungspreis sortiert void SortedByOpenPride()   {    long     OrderTicketBuffer[];    double   OpenPriceBuffer[];    for ( int i = PositionsTotal ()- 1 ; i>= 0 ; i--)      {        if (m_position.SelectByIndex(
Intro to Range Breakout Strategy (pre-close clearance) Range = yesterday high - Yesterday low On track = opening price + range *k; Lower rail = Open price - range *K Stop-loss closing position: When the price breaks up the upper track or breaks down the lower track, it breaks the opening price of the day again Parameters: Pairs List (comma separated)       = "GBPUSD,GBPJPY,USDJPY,XAUUSD,XTIUSD,USTEC"; - TimeFrame = PERIOD_D1; - MagicNumber      = 60037;          - OrderComment     = "RangeBre
A Simple Moving Average (SMA) is a statistical indicator used in time series analysis. This indicator represents the arithmetic mean of a sequence of values over a specific period of time. SMA is used to smooth short-term fluctuations in data, helping to highlight the overall trend or direction of changes. This aids analysts and traders in better understanding the general dynamics of the time series and identifying potential trends or changes in direction.  More information you can find in Wiki 
Hello everyone! I am a professional MQL programmer , Making EAs, Indicators and Trading Tools for my clients all over the world. I build 3-7 programs every week but I seldomly sell any ready-made Robots. Because I am fastidious and good strategy is so few...  this EA is the only one so far I think its good enough to be published here.  As we all know, the Ichimoku indicator has become world popular for decades, but still, only few people knows the right way of using it, and if we check the cl
Als ich tief in den Bereich der Finanz- und Handelsstrategien eintauchte, beschloss ich, eine Reihe von Experimenten durchzuführen und dabei sowohl Ansätze zu untersuchen, die auf Reinforcement Learning basieren, als auch solche, die ohne dieses auskommen. Durch die Anwendung dieser Methoden gelang es mir, eine differenzierte Schlussfolgerung zu formulieren, die für das Verständnis der Bedeutung einzigartiger Strategien im modernen Handel von entscheidender Bedeutung ist. Obwohl neuronale Netzwe
Introducing "TG Risk Service Manager" — your comprehensive toolkit for swift and precise risk management and lot size calculations in the dynamic world of trading. Designed to streamline development processes and enhance trading strategies, this indispensable library equips developers with essential tools for optimizing risk assessment and trade profitability. Metatrader4 Version |  All Products  |  Contact   Key Features: Efficient Lot Size Calculation : Harness the power of precise lot size
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