Cloud Computing for Capital Markets

Begin the Journey to Alpha

Demand Advanced Capabilities

Real-time data from a multitude of diverse data source
Real-time adaptive systems and models aka Deep Learning
Accept no limits
Scale infinitely

How do we acquire and manage Financial Market Data in the Cloud?

  • Data acquisition via APIs
  • Direct Connect and Market Data feeds on AWS
  • Create and buffer custom data streams from “firehose” data feeds
  • How do we ingest and process and aggregate real-time on-premises data streams?
Design and build real-time, event driven solution from diverse sets of customer, public, and subscriber data sets.

Real-time data from a multitude of diverse data source
Real-time adaptive systems and models aka Deep Learning
Accept no limits
Scale infinitely

Strategy

Ask Questions

How can we ingest and analyze far more and diverse datasets quickly, with the team we have?
What if we could analyze 10x more data, in 1/10 the time?

Transform from Batch to Real-Time Processing


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Select Customers

Our Services

Batch to Real-time business transformation
Monolithic to Microservices
Serverless Data Acquisition and Integration from firms like Bloomberg, Xignite
Code to 1000-node Deep Learning Container Solutions
Simplify fund and market data acquisition for both data center and Cloud operations
Application Transformation
Application Assessment
Infrastructure Assessment
Advanced Technologies Assessment
Agility / DevOps Assessment

Know the Terrain



Choose an AWS Partner with Experience in finance — like Bronze Drum

Read our Case Studies

Your Question Here

 
 
 
 


Applications


C++ to Microservices. While much of your code base may be written in C++, did you know it can run on AWS as Serverless Lambda Functions? Learn how we can take a micro services approach to decomposing existing software and enabling parallel execution in the Cloud.

This example runs as an AWS Node.js Lambda function, Python function, or as native C++ code. Our work enables these function to run on any device in any architecture.

Bonds
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Fitted Bond Curve
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Swap Valuation
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For Monte Carlo simulations that drive much of the pricing of instruments, GPU combined with a scale-out architecture creates an undeniable value processing. Process workloads faster, and then tear-down the cluster.
  • Discrete Hedging
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  • Latent Models
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  • Test FRA Construction
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  • Multi-Dimensional Integrals
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  • Repo
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  • Swap Valuation
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