Metori Capital Management Taps QuantFactory to Develop Trading Portfolio

Thursday, 20/04/2017 | 09:44 GMT by Aziz Abdel-Qader
  • QuantFACTORY suite of products offers a set of tools for quantitative trading strategies development and automation.
Metori Capital Management Taps QuantFactory to Develop Trading Portfolio
Bloomberg

Paris-based asset manager Metori Capital Management has selected QuantFACTORY from trading solutions provider QuantHouse to tap its trading strategies development framework to develop, back-test and execute trading models.

The London Summit 2017 is coming, get involved!

Metori will start operating by the end of Q2 2017, subject to regulatory approvals. The company is regulated in France by the Autorité des Marchés Financiers (AMF) and also registered with the US Commodity Futures Trading Commission (CFTC) and a member of the National Futures Association (NFA).

QuantFACTORY suite of products offers a complete set of tools for Quantitative Trading strategies development and automation for hedge funds and institutional program trading companies. Based on a .NET framework, it allows financial firms to rationalize trading strategies and development cycle by using an Integrated Development Environment (IDE) across the research-development-back testing-Execution cycle.

Nicolas Gaussel, CEO of Metori Capital commented: “Lyxor’s Epsilon team has been working with QuantHouse over the years through its QuantFACTORY technology, allowing full portfolio trading automation making them the natural choice to automate Metori Capital’s trading portfolio solution. We have been impressed by the technology’s performance, resilience and stability, and look forward to working together as we go into operation this year.”

Stephane Leroy, Chief Revenue Officer at QuantHouse, added: “We are delighted to welcome Metori Capital to the QuantHouse client community. In today’s trading environment, both trading ideas and speed to market are of the essence. Firms must be able to test, develop and launch new trading strategies as quickly as possible ensuring the highest level of risk control. We’re delighted to work with Metori Capital to help them achieve full trading automation and business performance.”

Paris-based asset manager Metori Capital Management has selected QuantFACTORY from trading solutions provider QuantHouse to tap its trading strategies development framework to develop, back-test and execute trading models.

The London Summit 2017 is coming, get involved!

Metori will start operating by the end of Q2 2017, subject to regulatory approvals. The company is regulated in France by the Autorité des Marchés Financiers (AMF) and also registered with the US Commodity Futures Trading Commission (CFTC) and a member of the National Futures Association (NFA).

QuantFACTORY suite of products offers a complete set of tools for Quantitative Trading strategies development and automation for hedge funds and institutional program trading companies. Based on a .NET framework, it allows financial firms to rationalize trading strategies and development cycle by using an Integrated Development Environment (IDE) across the research-development-back testing-Execution cycle.

Nicolas Gaussel, CEO of Metori Capital commented: “Lyxor’s Epsilon team has been working with QuantHouse over the years through its QuantFACTORY technology, allowing full portfolio trading automation making them the natural choice to automate Metori Capital’s trading portfolio solution. We have been impressed by the technology’s performance, resilience and stability, and look forward to working together as we go into operation this year.”

Stephane Leroy, Chief Revenue Officer at QuantHouse, added: “We are delighted to welcome Metori Capital to the QuantHouse client community. In today’s trading environment, both trading ideas and speed to market are of the essence. Firms must be able to test, develop and launch new trading strategies as quickly as possible ensuring the highest level of risk control. We’re delighted to work with Metori Capital to help them achieve full trading automation and business performance.”

About the Author: Aziz Abdel-Qader
Aziz Abdel-Qader
  • 4984 Articles
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About the Author: Aziz Abdel-Qader
  • 4984 Articles
  • 31 Followers

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