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Optimus PrimeX: あなたのNASDAQトレーディング体験を高める! Optimus PrimeXの力を解き放ち、動的な金融市場を航海するために精巧に設計されたNASDAQトレーディングロボット。トレンドフォロー戦略に基づき、人工知能で満ち溢れ、NASDAQ指数の長期的な上昇トレンドを活かすよう構築されたこの専門家アドバイザーは、金融市場のダイナミズムに対応するために誕生しました。 複数の時間軸での戦略的分析 Optimus PrimeXは4時間、12時間、デイリー、ウィークリーの時間軸で包括的な分析を行い、人工知能を使用して最適な買いの機会を見つけ出します。ユーザーが設定したリスクパラメータを慎重に考慮しながら。このAI駆動のアプローチは、戦略的で情報満載なトレーディング体験を保証します。 このロボットが構成されている内容やその可能性についての詳細は、この投稿を読んでください >> https://www.mql5.com/en/blogs/post/754937 リスクに優しいトレーディングとユーザーコントロール デフォルトでは、Optimus PrimeXはアカ
Matrix is the foundation of complex trading algorithms as it helps you perform complex calculations effortlessly and without the need for too much computation power, It's no doubt that matrix has made possible many of the calculations in modern computers as we all know that bits of information are stored in array forms in our computer memory RAM, Using some of the functions in this library I was able to create machine learning robots that could take on a large number of inputs To use this libra
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
Probability-Based Indicator This indicator analyses price movements of a given period to obtain crucial information for probability distribution analysis such as their mean and standard deviation, Once it has such piece of information it does all the necessary calculations and finally calculates the probability that the current market value will go above or below the given period bars. Since this indicator effectively leverages the power of probability which doesn't lie, It is a powerful indicat
Linear regression AI powered Indicator: Linear regression is a simple yet effective AI technique that is the foundation of complex neural networks, This indicator is built based on linear regression analysis and tries to make predictions on the upcoming event in the market Inputs : train_bars: This controls the number of bars that the price information will be collected and used to train the AI inside it, The greater this value the better also the slower the indicator becomes during initializati