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FINCAD offers the most transparent solutions in the industry, providing extensive documentation with every product. This is complemented by an extensive library of white papers, articles and case studies.

Python - Improving Data Science in Finance: Video

FINCAD’s Christian Kahl, PhD, talks about the popularity of Python as programming language in Finance and how quants, financial analysts and traders can use Python, to make data science more accessible. There are many data science packages available, including NumPy and SciPy for numerical analysis such as VaR and Timeseries, Pandas for data analysis and Plotly Dash for data visualization. Hedge funds and other financial institutions can use these packages in tandem to perform their own on-point data analysis.