This paper presents the basic framework of a comprehensive computational theory of stock market behavior, which we call Swingtum, taking multivariate stock index time series data as input, and producing probabilistic predictions of stock index movement at multiple time frames.
By Prof. Heping Pan
Summary:
•A Fundamental Price Impact Model of The Stock Market
•Multilevel Fractal Swings In Log-Periodic Power Laws
•Multilevel Physical Cycles in Hilbert Transform and A Quantum Space of Price and Time
•Multidimensional Embedding and Nearest Neighbour Algorithm for Prediction