RobotInNasdaq Free

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

Optimus PrimeX: 당신의 NASDAQ 트레이딩 경험을 한 단계 더 높이다! Optimus PrimeX의 힘을 발휘하고, 세심하게 설계된 NASDAQ 트레이딩 로봇을 통해 동적인 금융 시장의 세계를 탐험하세요. 추세 추종 전략을 기반으로 하고 인공 지능으로 미세 조정된 이 전문가 어드바이저는 NASDAQ 지수의 장기적인 상승 특성을 활용하기 위해 개발되었습니다. 다양한 시간 프레임의 전략적 분석 Optimus PrimeX는 4시간, 12시간, 일일 및 주간 시간 프레임에서 포괄적인 분석을 수행하며 사용자가 정의한 리스크 파라미터를 주의 깊게 고려하여 최적의 매수 기회를 식별합니다. 이 AI 기반 접근은 전략적이고 정보에 기반한 트레이딩 경험을 보장합니다.  이 로봇이 구성되어 있는 내용과 수행 가능한 작업에 대한 자세한 내용은 다음 게시물을 읽어보세요 >> https://www.mql5.com/en/blogs/post/754937 리스크 편안한 트레이딩 및 사용자 제어 기본

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