Finsera Blog

While Finsera provides a very powerful engine for analyzing cross-sectional investment ideas, the Finsera platform is also an extremely useful tool to analyze market trends.

Exchange traded funds have proven to be extremely popular with investors. From broad based baskets like SPY and IWM to more focused thematic investments like WCLD (cloud computing) or MJ (cannabis).

When building an investment strategy, the first question one needs to ask is what are the set of stocks that can be included in the portfolio...

Signal/Factor development typically requires a good understanding of programming, databases, the underlying data, and data structures. Finsera provides an industry-first platform that enables you to use the power of cloud computing with our low-code to no-code approach.

Building and analyzing factors/signals can be a daunting task if all you need is to validate your ideas or intuitions. Having managed a quant hedge...

Financial datasets are complex. Working with them requires advanced data engineering and processes. The amount of data is generally huge and thus requires some understanding of big-data solutions and the technical expertise to work with those.

In a previous blog (Building Custom Baskets), we showed how Finsera Basket Builder can be used to easily construct a custom cybersecurity basket.