SolveQuotes for Front-Office - Message Parsing for Fixed Income Markets
Unlike the liquid interest rates, common equities, and currencies, fixed income
markets such as structured products, corporates, loans, and municipals are not nearly
as transparent. The “Market” is locked away in the firm's email messages. We’re here
to unlock it!
Access Market Data
SolveQuotes scrapes Bloomberg messages, email, and attachments in real-time and aggregates
price, spread, and yield data into a user-friendly interface. The software facilitates
access to a superset of market data parsed from a firm’s own messages,
contributed by Solve Advisors’ partners,
and additional data that can be seamlessly imported
into the platform such as quotes, comments,
or fundamental model pricing. SolveQuotes charts out both price and spread allowing you to identify trends
in the marketplace before others do.
Improve Your Workflow
SolveQuotes BWIC and Inventory Monitors allows you to quickly determine the securities
out for bid or on offering sheets, identify the opportunities that you want to focus
on and see the day’s agenda all in one screen. The software further automates your
workflow by identifying matchers between BWICs and inventories with your portfolios
or watch lists.
SolveQuotes additionally facilitates data sharing among a team or between multiple
teams. Multiple users can easily share their combined market color. The middle and
back office can access the same data that is available to the front-office.
Observe market movements and identify relative value between cohorts of securities.
The below example illustrates our CLO Market Monitor which compares the performance
of rated notes of CLO 1.0 and CLO 2.0:
We respect our clients' privacy concerns. We have specifically designed the parser
in a way that it can be deployed internally to our clients' networks so that
their messages and data never have to leave their firewalls.
Integration with In-house Systems
SolveQuotes data can be easily integrated into your internal systems or analytics.
Additionally, your internal marks or model-driven prices can be fed back into SolveQuotes
so that that data can be displayed side by side with market data.