In a previous blog (Building Custom Baskets), we showed how Finsera Basket Builder can be used to easily construct a custom cybersecurity basket. Here we show how the performance of such a basket can be incrementally enhanced. At first, we evaluate the performance of...
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. Data cleansing is...
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 fund, we have dealt with the pain of defining and building such signals over decades. We built the Finsera platform to...
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...
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: Domestic, international or global?LargeCap, SmallCap, AllCap?Focus on specific sectors or industries?Etc The Finsera platform...
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). The two main disadvantages of publicly traded ETFs are lack of...
Finsera is a powerful platform built for Institutional Investors to help empower their investment teams and focus on building and validating investment ideas. Contact Us for a demo on how this can transform how you design and deploy your investment strategies.
