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یک روش شناسایی هوشمند الگوهای مثلثی در نمودار قیمت سهام
هدایتی، عمادالدین Hedayati, Emadeddin
An Intelligent Triangular Pattern Recognition in Stock Price Charts
Hedayati, Emadeddin | 2021
1793
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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 Price Prediction ; Triangular Pattern Recognition ; Pattern Extraction ; Continuation Patterns
