RESEARCH WORK

Publications

Who Says You Cannot Change Your Market Data Vendor?

Author: Nick Morrison

Personal account of a successful market data transformation project at an international bank which reduced the total market data spend within the organisation by millions annually.

Algorithmic & High Frequency Trading:
Market Data Considerations

Authors: Nick Morrison & Angelo Villaschi

Algorithmic or Automated Trading (AT) techniques present additional considerations and requirements on market data when compared with manual trading.

Request a copy of this white paper

Request a copy of this white paper

Data Quality Monitoring - Why do it and How to Implement

Angelo Villaschi

Data is costly to acquire. Systems to monitor the quality of incoming data allow for the detection of data quality, enabling corrective action, filtering of bad data. Data Quality Monitoring needs to be integrated throughout the data acquisition technology stack and business processes.

SAPI to BPIPE Migrations

Maija Antoine

Trading organisations often grow their financial data needs beyond the capacity of the Bloomberg SAPI platform. We take you on whistle-stop tour of the challenges, risks and opportunities involved in migrating your Bloomberg platform from SAPI to BPIPE (and Data License).

Request a copy of this white paper

Request a copy of this white paper

Research Work

Publications

Who Says You Cannot Change Your Market Data Vendor?

Author: Nick Morrison

Personal account of a successful market data transformation project at an international bank which reduced the total market data spend within the organisation by millions annually.

Request a copy of this white paper

Algorithmic & High Frequency Trading: Market Data Considerations

Authors: Nick Morrison & Angelo Villaschi

Algorithmic or Automated Trading (AT) techniques present additional considerations and requirements on market data when compared with manual trading.

Request a copy of this white paper

Data Quality Monitoring - Why do it and How to Implement

Angelo Villaschi

Data is costly to acquire. Systems to monitor the quality of incoming data allow for the detection of data quality, enabling corrective action, filtering of bad data. Data Quality Monitoring needs to be integrated throughout the data acquisition technology stack and business processes.

Request a copy of this white paper

SAPI to BPIPE Migrations

Maija Antoine

Trading organisations often grow their financial data needs beyond the capacity of the Bloomberg SAPI platform. We take you on whistle-stop tour of the challenges, risks and opportunities involved in migrating your Bloomberg platform from SAPI to BPIPE (and Data License).

Request a copy of this white paper