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"I am curious whether this concept has already been explored and, if not, whether it is feasible and worthwhile to pursue. The idea involves constructing a machine learning algorithm that trains a model on a large dataset of technical chart patterns, such as head and shoulders, flag breakouts, etc., to derive valuable insights. For instance, the algorithm could analyze occurrences and reveal that, say, 75% of the time, a confirmed head and shoulders pattern results in an upward movement of the underlying asset. Additionally, the system could eventually execute...
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