Finance

Deploy massive compute capabilities to enhance workflows and accelerate time to value

Beat the Market with Unlimited Compute

Emergent factors are beginning to have a huge impact on markets.  While often financial analysis involves applying macroeconomic theories and models, studying emergence requires a bottom up approach, simulating the agents and their actions themselves. Reflecting this activity is computationally demanding and often unpredictable. Simulations have to be equipped to deal with entity complexity and dynamic shifting of data. 

This agent-based simulation requires processing of huge amount of data. Hadean’s big data processing library, Mesh, is one such application that enables massively distributed computing to optimise big data workflows. It requires no specialist engineering or scaling expertise, putting the handling of big data into the hands of a single data scientist or engineer. It eliminates the need to build, manage and scale big data pipelines that are traditionally built on ecosystems such as Hadoop and Spark.

The Old Way

Traditional high performance computing relies on excessive amounts of middleware, resulting in complex development, expensive ops and high failure rates.

The Hadean Way

Hadean removes all bottlenecks during runtime and allows full-scalability of an infrastructure, eliminating the need for containerisation and middleware. 

Benefits

1

Massive Power and Scale

By leveraging the Hadean Platform, Financial institutions can apply raw compute power to enhance workflows and accelerate time to value across their business

l

Overcome Technical Talent and Skills Gaps

Hadean eliminates the reliance on distributed systems expertise and DevOps tooling, acting as a force multiplier across engineering teams to build applications of unparalleled levels of performance, reliability and scale

Process Big Data Like Small Data

Mesh puts the handling of Big Data back into the hands of a single data scientist or engineer, similarly to how a “small data” problem is currently using tools like Python or SQL

 

Unbounded Financial Simulations

Aether Engine enables financial institutions to harness the power of massive scale simulations to model future market scenarios with unparalleled realism and inform risk management

Achieve Greater Financial Insight with Hadean

Download the Datasheet Today

Use Case

Monte Carlo Simulation

A financial services organisation wanted an alternative means to perform a risk analysis across a large portfolio. Mesh was used to run a Monte Carlo simulation to complete a VaR on a financial portfolio.

Related Posts

Scaling Monte Carlo Simulations On Apache Spark

At Hadean, we’re working to lower the barrier to distributed computing by making it simpler and more reliable.

C++ open source

A new Open Source C++ library for Spatial Simulations

The different approaches to representing arbitrary shapes, their impact on performance and why Aether Engine uses Morton regions.

GameStop Agent Based Simulation

Agent Based Simulation in Volatile Markets

Recent events surrounding GameStop have shown that traditional financial forecasting is ripe for disruption.