Use Cases
Trade Analytics
Leverage your historical trading and market activity to generate pre and post trading intelligence through real-time analytics and improve portfolio performances.
Real-Time Big Data Analytics for Trading
Flip the cards and see how we address these common pain points
Fragmentation of data sets
(between Orders, Executions, Futures, Financing, Market data…)
Single data environment
with trades, orders, axes… without size limit
Difficulty to share detailed activity
with internal/external clients with right permissioning
Granular access rights
and permissioning
Difficulty to replay execution
with other parameters to improve algo and other executions
Data versioning
with full audit trail and parameters of UDF
Complexity to automate
historical trading data intelligence
API call to aggregate & analyse
in any axis using 100% of your trade/order information
No capacity to analyse
long trading activity in any axis (ISIN, time series, counterparts, venues)
Horizontal scalability
combined with granular drilling
No real-time post-trade analytics
Integrated Python UDF
for self-service analytics to get a comprehensive information of orders execution
Key benefits Opensee delivers
Get price predictability and transparency
Understand and analyse activity
in real-time
Get full pre-trading
market intelligence
Achieve a real best execution
Centralise your trade and market data
at a low infrastructure cost
Reduce your transaction costs
Open and see our other use cases
We have solutions for you
Contact us and find out how we can help with your big data challenges.
Click here to ask for a demo.
