{"id":35491,"date":"2024-11-01T09:39:30","date_gmt":"2024-11-01T09:39:30","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=35491"},"modified":"2024-11-01T11:13:01","modified_gmt":"2024-11-01T11:13:01","slug":"machine-learning-and-deep-learning-algorithm-trading-sourcing-and-managing-data","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/35491\/","title":{"rendered":"Machine Learning and Deep Learning Algorithm Trading, Sourcing and Managing Data"},"content":{"rendered":"

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Author: [Your Name] | Date: [Date]<\/p>\n<\/header>\n

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1. Introduction<\/h2>\n

Quantitative Trading is a methodology that supports trading decisions in financial markets using mathematical models and algorithms. In this process, machine learning (ML) and deep learning (DL) technologies play a crucial role. This course will cover methods for sourcing and managing data for trading strategy development using machine learning and deep learning.<\/p>\n<\/section>\n

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2. Data Sourcing<\/h2>\n

2.1 Types of Data<\/h3>\n

The data available for trading can be broadly classified into the following categories.<\/p>\n