Kames Abs (Ireland) Buy Hold or Sell Recommendation

    Assuming 30 trading days horizon, and your above average risk tolerance our recommendation regarding Kames Abs Ret Bd Glbl C EUR Inc H is 'Not Rated'. Macroaxis provides Kames Abs buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding F00000VRYD positions. The advice algorithm takes into account all of Kames Abs Ret available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from F00000VRYD buy-and-hold prospective. Additionally see Investing Opportunities.

    Time Horizon

    Risk Tolerance

    Symbol
    Execute Advice
    Sell Kames AbsBuy Kames Abs
    Not Rated
    For the selected time horizon Kames Abs Ret Bd Glbl C EUR Inc H has a risk adjusted performance of (0.30), jensen alpha of (0.30), total risk alpha of (0.45), sortino ratio of 0.0 and treynor ratio of 10.7
    We provide buy, hold, or sell recommendation to complement the last-minute expert consensus on Kames Abs Ret Bd Glbl C EUR Inc H. 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 exercise Kames Abs Ret Last Dividend Paid and the relationship between Cash Position Weight and Equity Positions Weight to make buy, hold, or sell decision on Kames Abs Ret Bd Glbl C EUR Inc H.

    Kames Abs Returns Distribution Density

    Mean Return0.29Value At Risk1.45
    Potential Upside0.10Standard Deviation0.65
     Return Density 
          Distribution 

    Kames Abs Alerts

    Trading Alerts and Improvement Suggestions

    Kames Abs Ret is not yet fully synchronised with the market data
    Kames Abs Ret has some characteristics of a very speculative penny stock
    The fund retains about 61.24% of its assets under management (AUM) in cash
    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.
    Search macroaxis.com