Who we are

TFG Financial Systems provides an institutional quality platform for cross-asset portfolio and real time risk management to hedge funds, asset managers, and banks.

The software is cloud based and provided as a service, enabling quick and efficient installation. From initial contact through to entering your first trade and beyond, TFG gives you unlimited access to its team of specialists easing the technology burden and allowing you to focus on your business.

Our flagship product covers every step of the investment process – from market monitoring, trade capture and portfolio valuation, through to monitoring of portfolio risk and performance, all handled within a single platform. We have been delivering robust technology solutions to complex risk management problems for more than 10 years, with clients in Europe, North America and Asia.

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Latest news

  • Linear Investments to use TFG Financial Systems

    Linear Investments to use TFG Financial Systems   Linear Investments, the FCA-approved boutique prime broker, has appointed TFG Financial Systems for the provision of real-time margin reporting. In addition, TFG will be adding its trademark real-time portfolio analytics to the Linear offering.This will be extended to Linear’s hedge fund clients, enabling them to carry out […]
  • TFG Financial Systems adds on-demand risk capability to its portfolio management platform TFG Complete

    TFG Financial Systems, the financial software company specialising in portfolio management systems for hedge funds, has enhanced its flagship TFG Complete product with an “on-demand risk” capability. The enhancement supplements TFG’s existing real time risk analytics for multi-asset portfolios, and delivers significantly more capabilities to risk managers than the industry standard offerings. The on-demand service […]

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White Papers

Option Valuation using Finite Differences

Martin Toyer, TFG Systems,

TFG has built a method to value options with a non-standard pay-out function and Knock-Out barriers. As this calculation is integrated into a real-time system, performance and stability are critical. This has been achieved by using implicit finite differences where more detailed grids are used when the estimate of the error exceeds the required tolerance.

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