Cloud-based Historical Data Storage
Tick History and Tick History – PCAP with S3 Direct
Share, query and extract insights from historical market data to your S3 service by accessing LSEG Tick History data sets via our S3 Direct service on AWS.
Leverage the cloud to access historical market data
Benefit from seamless data capture, storage and management by accessing our comprehensive Tick History and Tick History – PCAP data via our S3 Direct parquet service on AWS. With TCO advantages 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 for Tick History and Tick History – PCAP.
Core solutions
Discover our Tick History data sets
Features and benefits
On-demand access
Access to full venue history and daily updates as needed, offering flexibility to view, collect, share and download our historical data to your cloud at your convenience.
‘Always on’ data storage
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.
Lower total cost of ownership
Using S3 Direct service enables more efficient data and storage management of the data you extract.
Faster performance
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.
Lossless Data Quality
The highest quality, lossless data, all in the cloud.
Extensive coverage
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
Tick History and Tick History – PCAP with S3 Direct can help you solve multiple use cases to power your business:
- Streamline data analysis
- Centralise tick history data across the organisation, eliminating team-held data pockets to improve data governance, reduce costs, and enhance efficiencies
- Backtest trading strategies with tick-by-tick data to ensure robustness and optimal outcomes
- Perform quantitative research and analytics
- Perform transaction cost analysis to meet regulatory best execution obligations and to improve trading efficiency – including order book recreation and market microstructure analysis
- Use the data to undertake market surveillance, to detect and prevent market abuse
- Deploy the data in artificial intelligence (AI) and machine learning (ML) projects
- Apply the data to test algorithmic trading models
- Apply the data to Fundamental Review of the Trading Book (FRTB) use cases, including data sourced from brokers
- Develop data science tools, backtesting engines or micro-market structures
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