Omega J Msigwa / Seller

About the Indicator This indicator is based on Monte carlo simulations on the closing prices of a financial instrument. By definition, Monte carlo is a statistical technique used to model the probability of different outcomes in  a process that involves random numbers based on previously observed outcomes. How does it Work? This indicator generates multiple price scenarios for a security by modelling random price changes over time based on historical data. Each simulation trial uses random var

Overview Thanos EA BETA is an advanced trading bot leveraging cutting-edge AI and machine learning technologies specifically designed for trading applications. Equipped with Modern and Deep learning Artificial Intelligence algorithms, this EA offers superior predictive capabilities, surpassing many existing models in the field. This free beta version is a development sandbox where I continuously integrate new features and experiment with innovative strategies, we welcome your thoughts and opi

Built using modern machine learning models LightGBM and Deep Neural Networks, This EA is a masterpiece at detecting trading signals on EURUSD and open trades with higher accuracy. This trading robot was trained for EURUSD symbol, don't expect it to work properly and provide similar results for some other symbol(s). Requirements Broker:    Any Broker, ECN/ZERO Spread preferred Account Type: Hedging Leverage:   from 1:200 Deposit:   min. $500 Symbol:   EURUSD Timeframe:   H4 (Attach it on a 4-

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

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

Optimus PrimeX: Elevating Your NASDAQ Trading Experience! Unleash the power of Optimus PrimeX, a sophisticated NASDAQ trading robot meticulously crafted to navigate the dynamic landscape of the financial markets. Built upon a trend-following strategy and infused with Artificial Intelligence Biasing, this expert advisor is designed to harness the long-term bullish nature of the NASDAQ index. Strategic Analysis Across Timeframes Optimus PrimeX conducts a comprehensive analysis across the 4-hour, 1

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

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