Discussing the article: "Gain An Edge Over Any Market (Part II): Forecasting Technical Indicators"
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Check out the new article: Gain An Edge Over Any Market (Part II): Forecasting Technical Indicators.
Did you know that we can gain more accuracy forecasting certain technical indicators than predicting the underlying price of a traded symbol? Join us to explore how to leverage this insight for better trading strategies.
Investors seeking to apply machine learning in electronic trading environments face numerous challenges, and the reality is that many do not achieve their desired outcomes. This article aims to highlight some reasons why, in my opinion, an aspiring algorithmic trader may fail to achieve satisfactory returns relative to the complexity of their strategies. I will demonstrate why forecasting the price of a financial security often struggles to exceed 50% accuracy and how focusing on predicting technical indicator values, instead, can improve accuracy to around 70%. This guide will provide step-by-step instructions on best practices for time series analysis.
By the end of this article, you will have a solid understanding of how to enhance the accuracy of your machine learning models and discover leading indicators of market changes more effectively than other participants using Python and MQL5.
Author: Gamuchirai Zororo Ndawana