A Powerful Platform for Collaborative Analytics in Capital Markets

To improve execution both liquidity providers & consumers need to engage better and what is missing in that interaction is a trusted data sharing platform.

1.

Data Aggregation

Ingest, cleanse, integrate and store massive amounts of structured data from different counterparties and systems into single queryable set.



2.

Data Exploration

High performance computing infrastructure for inspecting, intersecting and querying massive data sets. Data visualisation tools and API for extracting results of analysis into Jupyter Notebooks for further analysis.

3.

Data Sharing

Powerful analytical tools for trusted data sharing. Ability to share relevant metrics with Counterparties without revealing sensitive details.

Platform Architecture

Managing vast quantities of data is difficult. Data preparation is a critical first step before anything interesting can be learnt. Tradefeedr provides a purpose built platform for supercharging data science projects within Financial Markets.