Evaluating the Effectiveness of Model of Three-Level Moving Average Strategy
摘要
Creation of a logical model that analyzes stock prices, trading volumes, and technical indicators to provide automated buy or sell recommendations in a high-frequency trading environment is explored in this work. By leveraging machine learning techniques, this model aims to enhance profitability while eliminating the impact of psychological biases associated with manual trading execution.