Lyxor Epsilon (Ireland) Buy Hold or Sell Recommendation

    Assuming 30 trading days horizon, and your above average risk tolerance our recommendation regarding Lyxor Epsilon Managed Futures B USD Acc is 'Not Rated'. Macroaxis provides Lyxor Epsilon buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding F00000THF0 positions. The advice algorithm takes into account all of Lyxor Epsilon Managed available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from F00000THF0 buy-and-hold prospective. Additionally see Investing Opportunities.

    Time Horizon

    Risk Tolerance

    Symbol
    Execute Advice
    Sell Lyxor EpsilonBuy Lyxor Epsilon
    Not Rated
    For the selected time horizon Lyxor Epsilon Managed Futures B USD Acc has a risk adjusted performance of (0.14), jensen alpha of (0.26), total risk alpha of 0.0194, sortino ratio of 0.0 and treynor ratio of 1.51
    We provide buy, hold, or sell recommendation to complement the last-minute expert consensus on Lyxor Epsilon Managed Futures B USD Acc. Our dynamic recommendation engine harnesses multi - dimensional algorithm to analyze the entity potential to grow using all technical and fundamental data available at the time. Please be advised to verify Lyxor Epsilon Managed Futures B USD Acc Minimum Initial Investment to validate our buy or sell recommendation.

    Lyxor Epsilon Returns Distribution Density

    Mean Return0.22Value At Risk5.65
    Potential Upside4.57Standard Deviation2.10
     Return Density 
          Distribution 

    Lyxor Epsilon Alerts

    Trading Alerts and Improvement Suggestions

    Lyxor Epsilon is not yet fully synchronised with the market data
    Lyxor Epsilon has some characteristics of a very speculative penny stock
    Additionally see Investing Opportunities. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.
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