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Analytics Workbench

Our next-generation analytics environment takes the hassle out of working with market data

Overview

Say goodbye to data management and get right to work.

MayStreet developed Analytics Workbench with the analyst in mind. Using standard tools and our Springboards, we let you skip the grunt work and instead focus entirely on analyzing market microstructure, trading strategies or execution quality.

Analytics Workbench includes SQL access to MayStreet’s Market Data Lake with 20+ petabytes of data including Level 1, Level 2, and Level 3 data feeds. You and your team will be powered by the highest quality top-of-book and depth-of-book data.

Key Features

Functionality to query and visualize capital markets data using tools you already know

  • Standalone application development via Python and R
  • Leverage pre-configured Jupyter® notebooks
  • Perform ad-hoc analyses or schedule batch jobs leveraging the orchestration environment. Receive reports to your cloud bucket
  • Upload internal order data or other third-party data
  • Query results provided in normalized or raw PCAP formats
  • Create reports including 3D visualization support
  • Downloadable Springboards with the building blocks to create more advanced code
  • SQL-based integration with MayStreet’s Market Data Lake via editor with autocomplete and result export
  • Isolated pre-created Git instances

Performance that meets your objectives

Achieve performance objectives with optimized cluster parallelization. Our Dask-based cloud execution platform allows users to execute ad-hoc or scheduled Python code inside AWS distributed across a custom number of processing nodes.

Reliable cloud security - yours or ours.

  • Turnkey deployed instances from My MayStreet/Workbench Launcher, secured via Cognito SSO
  • Alternate deployment option within a client’s cloud to leverage existing security protocols
Springboards

Get a lift as you dive into your analysis

Springboards are pre-configured, publicly hosted projects that can be downloaded into Workbench instances
These Springboards contain interactive examples of code, queries, and other tools. in Jupyter/SQL and are backed up with Markdown files containing documentation and walkthroughs
A user can download a Springboard into their Workbench directory and work with the supplied code as much as they wish

See a Springboard example

Request Details

Test drive Workbench. Reach out to us for a trial login.

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