Algorithmica, an Advisense company, solves risk, quantitative analytics and market data management challenges for banks, asset managers and other capital markets players.
Trusted by top-tier global institutions, Algorithmica provides a modular solution that can replace legacy systems or complement existing systems. Algorithmica helps financial institutions to move to a real-time view of risk and quant analytics, based on live market and portfolio data.
Fully integrated with your front-office solutions, Algorithmica’s high-performance analytics, risk, and data management solutions work with all asset classes and enable you to gain real-time exposure insight, protect against risk, and drive competitive advantage. Algorithmica serves major financial institutions across The Nordics, Europe, the UK and The Middle East. Banks, asset managers and hedge funds trust Algorithmica to run sophisticated risk, governance, and data management solutions.
Quantlab (Quantitative Analytics):
A single, scalable quantitative analytics environment where financial analysts and traders can build, simulate and visualise different trading scenarios. Specifically developed for real-time asset analytics, Quantlab provides cross-asset functionality and can be used interactively by an analyst or implemented as a solution for the sales or trading desk.
ARMS (Realtime Risk Management):
Examine instantly updated risk limits, explore portfolio analytics, and plan before executing the next trade. ARMS deals with the unprecedented complexity of staying on top of the latest regulatory requirements. ARMS helps risk managers analyse risk across millions of positions, in real-time. ARMS also powers the calculation for FRTB, PFE, CVA/xVA and IRRBB at phenomenal speed, based on in-memory technology.
AHS (Market Data Management):
Managing financial data has become an increasingly expensive part of day-to-day operations. Algorithmica History Server (AHS) is an independent, enterprise-wide data management platform, specifically built for the financial industry. AHS allows firms to create an in-house or private-cloud data warehouse of financial data, originating from both market data vendors or in-house information. Whether used for automatic pricing in legacy systems or for generating trading propositions in desktop applications, there is a need for quality-assured, clean and coherent data.
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