Linedata – Linedata Longview
ContactJon SymondsEmail: firstname.lastname@example.orgTel: +1 617 912 4700
Linedata Longview is a multi-asset, multi-currency and multi-geography buy-side platform specialising in portfolio management, pre-trade compliance and trading. Linedata offers capabilities for equities, fixed income, options, FX and futures and 21 swap types including interest rate swaps, total return swaps and credit default swaps.
Linedata’s products can be deployed via on-site deployment, Linedata Hosting, facilities management or a remote hosting option.
Linedata supports a global client base with over 250 staff worldwide in 11 offices including the four offices that comprise follow-the-sun service support: Boston, London, Riga and Hong Kong.
Linedata provides full FIX support for a range of
asset types. It offers innovative trading opportunities using embedded partner
algorithms through its Liquidity Alliance Partner program and trading
integration to over 400 destinations globally through 50 partners accessing
alternative trading systems, dark pools, broker algos and transaction cost
analysis through the Linedata Lynx service.
Linedata has real-time or batch processing
interfaces with upstream and downstream vendors for trade matching, pricing,
accounting and security data.
Linedata Longview is the master record for intraday position keeping,
order trade and allocations. Linedata Longview supports all the workflows in
the investment lifecycle from order generation to pre-trade compliance through
to trade execution.
Portfolio management tools include the portfolio
management dashboard, modeling, rebalancing, asset allocation and cash and
exposure management. The open architecture framework allows more in-depth
analysis of performance (attribution and contribution) and risk (exposure, Value-at-Risk,
scenario testing) from third-party vendors.
Linedata will focus on broadening its asset
coverage support and workflows; exposure-based portfolio management; and
enhance asset allocation management tools, including blended and nested models.