An Intelligent Triangular Pattern Recognition in Stock Price Charts

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Hedayati, Emadeddin | 2021

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 54264 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Fazli, Mohammad Amin
Abstract:
Stock price patterns are a technical analysis approach to forecast future trends with tremendous practical benefits. However, the current algorithms solely rely on machine learning techniques and deep neural networks which could be a problem in countries where data sets such as these are not available. We propose an algorithm based on geometry and mathematics for this problem, leading to an O(n^3logn + n^2k) complexity, where k is the number of triangular patterns
Keywords:
Stock Price ; Stock Prediction ; Triangular Pattern Recognition ; Pattern Extraction ; Continuation Patterns