Leverage the cloud to access full historical market data and point-in-time updates
Benefit from seamless data capture, storage and management by accessing our comprehensive Quantitative Analytics, Tick History and Tick History – PCAP data via our S3 Direct parquet service on AWS.
With lower total cost of ownership and reliable, efficient, persistent data storage, you can share, query and extract insights from the data to your S3 service whenever you need it. Fuel your business growth by easily navigating the challenges of managing large volumes of historical financial data with LSEG’s S3 Direct service.
Core solutions
Discover our Tick History data sets
Features and benefits
Get full venue history and daily updates with flexible access to view, share, and download data to your cloud. Fully compatible with common cloud tools in AWS like Athena, SageMaker, Bedrock, and interoperable with platforms like Snowflake and Databricks.
Data stays permanently in the LSEG S3 service – we will always keep the full copy of the data you’re subscribed to, so it’s there if you need it again.
Using S3 Direct service enables more efficient data and storage management of the data you extract.
By leveraging the AWS private network and our S3 service, you can access and download large volumes of historical market data at speed, saving time so you get to market faster.
The highest quality, lossless data, all in the cloud.
Offering global coverage, our Tick History database is the most comprehensive in the world, and is constantly growing across exchanges and asset classes.
Use cases
By delivering operational flexibility, reduced costs, and fast, secure access to the deepest historical financial data, Quantitative Analytics, Tick History, and Tick History – PCAP datasets via S3 Direct empower a wide range of high-value use cases for quantitative research, compliance, and strategy development to drive your business forward:
- Shared Storage for Quantitative and Tick History data to eliminate silos, improve data governance, and reduce costs.
- Streamline data analysis and enable robust backtesting with point-in-time and tick-by-tick data.
- Streamline quantitative research and analysis, with the addition of QA Research Accelerator, with unrivalled range of ready-to-use data to help pivot your research focus through QA on S3-Direct.
- Conduct transaction cost analysis and improve trading efficiency – to meet regulatory best execution standards, including order book recreation and market microstructure analysis.
- Perform Artificial Intelligence (AI) and Machine Learning (ML) initiatives, deploying the relevant data.
- Undertake market surveillance, to detect and prevent market abuse.
- Support Fundamental Review of the Trading Book (FRTB) and regulatory compliance.
- Develop data science tools, backtesting engines, and micro-market structures.
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