文章
Portfolio Optimization in Python and MQL5 MetaTrader 5
This article explores advanced portfolio optimization techniques using Python and MQL5 with MetaTrader 5. It demonstrates how to develop algorithms for data analysis, asset allocation, and trading signal generation, emphasizing the importance of data-driven decision-making in modern financial
Sentiment Analysis and Deep Learning for Trading with EA and Backtesting with Python MetaTrader 5
In this article, we will introduce Sentiment Analysis and ONNX Models with Python to be used in an EA. One script runs a trained ONNX model from TensorFlow for deep learning predictions, while another fetches news headlines and quantifies sentiment using AI
Automated Parameter Optimization for Trading Strategies Using Python and MQL5 MetaTrader 5
There are several types of algorithms for self-optimization of trading strategies and parameters. These algorithms are used to automatically improve trading strategies based on historical and current market data. In this article we will look at one of them with python and MQL5 examples
Bill Williams Strategy with and without other indicators and predictions MetaTrader 5
In this article, we will take a look to one the famous strategies of Bill Williams, and discuss it, and try to improve the strategy with other indicators and with predictions
Triangular arbitrage with predictions MetaTrader 5
This article simplifies triangular arbitrage, showing you how to use predictions and specialized software to trade currencies smarter, even if you're new to the market. Ready to trade with expertise
Statistical Arbitrage with predictions MetaTrader 5
We will walk around statistical arbitrage, we will search with python for correlation and cointegration symbols, we will make an indicator for Pearson's coefficient and we will make an EA for trading statistical arbitrage with predictions done with python and ONNX models
Seasonality Filtering and time period for Deep Learning ONNX models with python for EA MetaTrader 5
Can we benefit from seasonality when creating models for Deep Learning with Python? Does filtering data for the ONNX models help to get better results? What time period should we use? We will cover all of this over this article
Deep Learning GRU model with Python to ONNX with EA, and GRU vs LSTM models MetaTrader 5
We will guide you through the entire process of DL with python to make a GRU ONNX model, culminating in the creation of an Expert Advisor (EA) designed for trading, and subsequently comparing GRU model with LSTM model
Deep Learning Forecast and ordering with Python and MetaTrader5 python package and ONNX model file MetaTrader 5
The project involves using Python for deep learning-based forecasting in financial markets. We will explore the intricacies of testing the model's performance using key metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared (R2) and we will learn how to wrap everything
RSI深三步交易技巧 MetaTrader 5
在MetaTrader 5中展示RSI深三步交易技术。本文基于一系列新的研究，这些研究展示了一些基于RSI的交易技术，RSI是一种技术分析指标，用于衡量股票、货币或商品等证券的强度和动量。