FinTech

W.Y.N. Associates utilizes a systematic and consistent methodology when constructing investment portfolios. Their disciplined approach focuses on identifying reliable sources of return that can be consistently replicated over time. By maintaining a high level of confidence in the process without being attached to specific stocks, they are able to achieve successful results. Diversification is also crucial to their philosophy, which includes utilizing various strategies that offer low correlations with conventional assets. Additionally, W.Y.N. Has embraced factor investing since its inception due to its sound academic foundation. They advocate combining different factors such as value, momentum, defensive and carry to maximize risk reduction while providing higher returns.

We released our flagship product. The wyn-pm python library is publicly available for the community. This library provides tools for stock analysis, efficient portfolio generation, and training sequential neural networks for financial data. Please see here.