Every new journey comes with its own unique set of hurdles, and this project was no exception. Embarking on the path of financial data analysis was akin to stepping into uncharted waters, given its inherent intricacies and nuances. A pivotal aspect of this challenge was comprehending the myriad financial patterns and metrics, especially their behavior preceding and during each identified pattern. With the client providing data sans labels, we had to be inventive. As a solution, we curated an expansive dataset, ensuring it was of the highest quality to form the foundation for our CNN’s training. But gathering the data was just one part of the puzzle; determining which metrics would heighten the algorithm’s accuracy and deciding how best to preprocess the time series data became key focal points. Our approach, which was deeply rooted in persistent trial-and-error, involved meticulous testing, recording accuracies, and employing visual tools for interpreting results, ensuring our methodology was both rigorous and comprehensive.