AENAON Syncro Currencies

INVESTMENT SOLUTIONS

Systematic Strategies

AENAON Syncro Currencies

AENAON Syncro Currencies, our flagship investment strategy, implements a systematic trading process on a diversified basket of major currency pairs in the spot FX market.

Prior to trade execution, our alpha discovery models utilize a variety of supervised and unsupervised Machine Learning algorithms to produce the most accurate forecasts possible. Central to this approach is the use of Artificial Neural Networks, which mimic the way the human brain functions.

The model sets firm risk parameters, with the objective to limit losses on a per-trade basis while allowing the system to profit from short-term price movements.

Our systematic strategies are deployed in two different “versions”: the Absolute Return and Vanilla return profiles. Quite simply, the difference between these profiles is that the Absolute Return version applies a simple, yearly reinvestment of profits at the end of each 12-month period while the Vanilla version never reinvests any yearly profits, which are available to be withdrawn or reallocated elsewhere.

Return & Risk Statistics

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Are you a Private Investor an Asset Allocator a Family Office Manager ?

Do you want to know more about our investment programs, our recent performance or how you can partner with AENAON Asset Management? Don’t hesitate to reach out to us and the appropriate member of our team will respond to your inquiry immediately.

+30 210 6829898

9 Evripidou, Athens, Greece

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    AENAON is a technology-driven investment research company. For the past 10 years, we have been committed to systematic alpha generation, investment research and system development.

    Our systematic strategies support a variety of portfolio management solutions and are suitable to the key investment themes of our time: superior risk-adjusted returns, non-correlation and consistency.
    Contact Information
    14-20 Vassileos Alexandrou, Peristeri, Athens, Greece
    +30 210 5779 238
    +44 203 76 903 98
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