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CatBoost AI models have gained massive popularity recently among machine learning communities due to their predictive accuracy, efficiency, and robustness to scattered and difficult datasets. In this article, we are going to discuss in detail how to implement these types of models in an attempt to beat the forex market.
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
In this article, We explore the dynamic integration of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) in stock market prediction. By leveraging CNNs' ability to extract patterns and RNNs' proficiency in handling sequential data. Let us see how this powerful combination can enhance the accuracy and efficiency of trading algorithms.
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
In this article, we dive deep into the crucial aspects of choosing the most relevant and high-quality Forex data to enhance the performance of AI models.
It is a common practice for many Artificial Intelligence models to predict a single future value. However, in this article, we will delve into the powerful technique of using machine learning models to predict multiple future values. This approach, known as multistep forecasting, allows us to predict not only tomorrow's closing price but also the day after tomorrow's and beyond. By mastering multistep forecasting, traders and data scientists can gain deeper insights and make more informed decisions, significantly enhancing their predictive capabilities and strategic planning.
https://www.mql5.com/en/market/product/68043 - MT4
https://www.mql5.com/en/market/product/68039 - MT5
Convolutional Neural Networks (CNNs) are renowned for their prowess in detecting patterns in images and videos, with applications spanning diverse fields. In this article, we explore the potential of CNNs to identify valuable patterns in financial markets and generate effective trading signals for MetaTrader 5 trading bots. Let us discover how this deep machine learning technique can be leveraged for smarter trading decisions.
In the previous article, we discussed a simple RNN which despite its inability to understand long-term dependencies in the data, was able to make a profitable strategy. In this article, we are discussing both the Long-Short Term Memory(LSTM) and the Gated Recurrent Unit(GRU). These two were introduced to overcome the shortcomings of a simple RNN and to outsmart it.