By Lukasz Macura & Steve Rapaport Beacon may be a buy-and-build platform, but we are always looking for ways to make the building part faster and easier for you. We’ve introduced several frameworks and low-code tools, including Glint, Fragments Framework,
Working as a quant has enough challenges without having to struggle with fragmented technology stacks, siloed processes, and tedious manual workflows. Time spent navigating these issues is taken directly from the models and analytics that contribute to the firm’s yield
By Claus Murmann and Tony Yum Beacon Front Office Suite includes reference implementations of pricing models such as Black-Scholes, Ju and Zhong American option approximation, and binary trees. That said, some customers prefer to use their own pricing library and/or
As the markets face an ongoing pandemic, an energy crisis, and volatility, there’s also a looming recession.The traditional Greek-based risk metrics are one way to measure today’s risks but there’s more traders can do to prepare for volatility. Beacon Co-Founder
By KWA Analytics and Beacon Platform In today’s global markets, volatility has taken center stage, driven by the ongoing pandemic, supply chain disruptions, and the Russia – Ukraine war, and has caused traditional trading models to be stressed to their
In an era of online-everything, you probably think that your data is already dynamic. It certainly has come a long way from printed stock tables—live market data, instant access to customer details and contract terms, vast arrays of economic data
Few things in life are perfect. Data, like life, often needs to be revised, corrected, or updated as new information is received, or as new modeling perspectives evolve. Being able to change items in a database is great, but what
This white paper examines Beacon’s software development lifecycle (SDLC) processes and the DevSecOps methodologies on which they are based. Another paper describes the shared responsibility model for cloud infrastructure and operations with secure installation and isolation of each customer’s operating
Developers can be very passionate about their choice of programming languages, and we often get asked why we choose to work in Python. Since our initial adoption of Python for the Athena project at JPMorgan in 2006, which is now
There are always great ideas coming out of R&D and Quant environments. But turning these ideas into actionable trading solutions that can capture new business and generate additional advantages takes far too long—whether you are trying to roll out a
