Deep Prediction of Investor Interest: a Supervised Clustering Approach
We first verify its superior performance on a synthetic scenario inspired by real data and then apply it to two real-world databases, a publicly available dataset about the position of investors in Spanish ...
We propose a novel deep learning architecture suitable for the prediction of investor interest for a given asset in a given time frame. ...
Identification of clusters of investors from their real trading
activity in a financial market. New Journal of Physics, 14(1):013041, 2012.
S. E. Yuksel, J. N. Wilson, and P. D. Gader. ...