Andrey Miguzov / ニュースフィード
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10+ 年
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![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
![Data Science and ML (Part 29): Essential Tips for Selecting the Best Forex Data for AI Training Purposes](https://c.mql5.com/2/88/Data_Science_and_ML_Part_29___LOGO.png)
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.
![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 ML (Part 28): Predicting Multiple Futures for EURUSD, Using AI](https://c.mql5.com/2/87/Data_Science_and_ML_Part_28___LOGO.png)
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.
![Nikolai Semko - BeeXXI Corporation](https://c.mql5.com/avatar/2022/11/6383de4f-d007.jpg)
https://www.mql5.com/en/market/product/68043 - MT4
https://www.mql5.com/en/market/product/68039 - MT5
![](https://c.mql5.com/1/289/dpch1.gif)
![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
![Data Science and ML (Part 27): Convolutional Neural Networks (CNNs) in MetaTrader 5 Trading Bots — Are They Worth It?](https://c.mql5.com/2/84/Data_Science_and_ML_Part_27.png)
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.
![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
![Data Science and ML (Part 26): The Ultimate Battle in Time Series Forecasting — LSTM vs GRU Neural Networks](https://c.mql5.com/2/84/Data_Science_and_ML_Part_26__LOGO.png)
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.
![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)
![データサイエンスと機械学習(第24回):通常のAIモデルによるFX時系列予測](https://c.mql5.com/2/81/Data_Science_and_Machine_Learning_Part_24__LOGO.png)
外国為替市場において、過去を知らずに将来のトレンドを予測することは非常に困難です。過去の値を考慮して将来の予測をおこなうことができる機械学習モデルは非常に少ないです。この記事では、市場に勝つために古典的な(非時系列)人工知能モデルを使用する方法について説明します。
![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)
![データサイエンスと機械学習(第23回):LightGBMとXGBoostが多くのAIモデルを凌駕する理由](https://c.mql5.com/2/79/Data_Science_and_ML_Part_23_____LOGO____2.png)
これらの高度な勾配ブースティング決定木(GBDT)技術は、優れた性能と柔軟性を提供し、金融モデリングやアルゴリズム取引に最適です。これらのツールを活用して取引戦略を最適化し、予測精度を高め、金融市場での競争力を高める方法を学びましょう。
![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. This indicator will have a very active evolution in the near future and detailed descriptions on how to apply to create robots
![Omega J Msigwa](https://c.mql5.com/avatar/2022/6/62B4B2F2-C377.png)
![データサイエンスと機械学習(第22回):オートエンコーダニューラルネットワークを活用してノイズからシグナルへと移行することで、よりスマートな取引を実現する](https://c.mql5.com/2/77/Data_Science_and_ML_gPart_22k_____LOGO.png)
目まぐるしく変化する金融市場の世界では、意味のあるシグナルをノイズから切り離すことが、取引を成功させるために極めて重要です。オートエンコーダは、洗練されたニューラルネットワークアーキテクチャを採用するため、市場データ内の隠れたパターンを発見し、ノイズの多い入力を実用的な洞察に変換することに優れています。この記事では、オートエンコーダがいかに取引慣行に革命をもたらし、トレーダーに意思決定を強化し、今日のダイナミックな市場で競争力を得るための強力なツールを提供しているかを探ります。