Andrey Miguzov / Notícias
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![MetaQuotes](https://c.mql5.com/avatar/2010/1/4B5DE8B4-9045.jpg)
![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
![Data Science and Machine Learning (Part 25): Forex Timeseries Forecasting Using a Recurrent Neural Network (RNN)](https://c.mql5.com/2/82/Data_Science_and_ML_Part_25__LOGO.png)
Recurrent neural networks (RNNs) excel at leveraging past information to predict future events. Their remarkable predictive capabilities have been applied across various domains with great success. In this article, we will deploy RNN models to predict trends in the forex market, demonstrating their potential to enhance forecasting accuracy in forex trading.
![fxsaber](https://c.mql5.com/avatar/2019/8/5D67260D-44C9.png)
![MetaQuotes](https://c.mql5.com/avatar/2010/1/4B5DE8B4-9045.jpg)
![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
![Data Science and Machine Learning (Part 24): Forex Time series Forecasting Using Regular AI Models](https://c.mql5.com/2/81/Data_Science_and_Machine_Learning_Part_24__LOGO.png)
In the forex markets It is very challenging to predict the future trend without having an idea of the past, Very few machine learning models are capable of making the future predictions by considering past values. In this article, we are going to discuss how we can use classical(Non-time series) Artificial Intelligence models to beat the market
![MetaQuotes](https://c.mql5.com/avatar/2010/1/4B5DE8B4-9045.jpg)
![MetaQuotes](https://c.mql5.com/avatar/2010/1/4B5DE8B4-9045.jpg)
![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
![Data Science and Machine Learning (Part 23): Why LightGBM and XGBoost outperform a lot of AI models?](https://c.mql5.com/2/79/Data_Science_and_ML_Part_23_____LOGO____2.png)
These advanced gradient-boosted decision tree techniques offer superior performance and flexibility, making them ideal for financial modeling and algorithmic trading. Learn how to leverage these tools to optimize your trading strategies, improve predictive accuracy, and gain a competitive edge in the financial markets.
![MetaQuotes](https://c.mql5.com/avatar/2010/1/4B5DE8B4-9045.jpg)
![MetaQuotes](https://c.mql5.com/avatar/2010/1/4B5DE8B4-9045.jpg)
![Nikolai Semko - BeeXXI Corporation](https://c.mql5.com/avatar/2022/11/6383de4f-d007.jpg)
Ultra-fast recognition of parabolic channels (as well as linear, horizontal and wavy channels) throughout the depth of history, creating a hierarchy of channels. Required setting: Max bars in chart: Unlimited This indicator is designed primarily for algorithmic trading, but can also be used for manual trading. Discount price until July 20 for friends and for those who have a good reaction This indicator will have a very active evolution in the near future and detailed descriptions on how
![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
![Data Science and Machine Learning (Part 22): Leveraging Autoencoders Neural Networks for Smarter Trades by Moving from Noise to Signal](https://c.mql5.com/2/77/Data_Science_and_ML_gPart_22k_____LOGO.png)
In the fast-paced world of financial markets, separating meaningful signals from the noise is crucial for successful trading. By employing sophisticated neural network architectures, autoencoders excel at uncovering hidden patterns within market data, transforming noisy input into actionable insights. In this article, we explore how autoencoders are revolutionizing trading practices, offering traders a powerful tool to enhance decision-making and gain a competitive edge in today's dynamic markets.
![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
![Overcoming ONNX Integration Challenges](https://c.mql5.com/2/75/Overcoming_ONNX_Integration_Challenges____LOGO.png)
ONNX is a great tool for integrating complex AI code between different platforms, it is a great tool that comes with some challenges that one must address to get the most out of it, In this article we discuss the common issues you might face and how to mitigate them.
![fxsaber](https://c.mql5.com/avatar/2019/8/5D67260D-44C9.png)
![MetaQuotes](https://c.mql5.com/avatar/2010/1/4B5DE8B4-9045.jpg)
![fxsaber](https://c.mql5.com/avatar/2019/8/5D67260D-44C9.png)
![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
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
![fxsaber](https://c.mql5.com/avatar/2019/8/5D67260D-44C9.png)