How can artificial intelligence discover novel chartist patterns in stock market data?
I am interested in applying an unsupervised learning algorithm to a large dataset of stock price movements and identify new chartist patterns that can predict future price trends. I do not want to use any predefined chartist patterns as input, but rather let the algorithm find its own patterns based on the data. I want to compare the algorithm's findings with the existing chartist patterns that are commonly used by human analysts and see if the algorithm can generate more original and effective patterns (similar to how Deep Mind's AlphaGo program discovered new strategies for playing Go).
https://technsight.com/
Unsupervised Learning for Novel Chartist Patterns: A New Approach to Stock Market Analysis
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