BlackRock ISF (Ireland) Buy Hold or Sell Recommendation

    F00000Q2RK -- Ireland Fund  

    EUR 12.46  0.05  0.40%

    Assuming 30 trading days horizon, and your above average risk tolerance our recommendation regarding BlackRock ISF Market Advtg Str is 'Not Rated'. Macroaxis provides BlackRock ISF buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding F00000Q2RK positions. The advice algorithm takes into account all of BlackRock ISF Market available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from F00000Q2RK buy-and-hold prospective. Additionally see Investing Opportunities.

    Time Horizon

    Risk Tolerance

    Symbol
    Execute Advice
    Sell BlackRock ISFBuy BlackRock ISF
    Not Rated
    For the selected time horizon BlackRock ISF Market Advtg Str has a risk adjusted performance of 0.0736, jensen alpha of 0.0533, total risk alpha of 0.06, sortino ratio of 0.0 and treynor ratio of 1.43
    This buy or sell advice tool can be used to cross verify current analyst consensus on BlackRock ISF Market and to analyze the fund potential to grow in the current economic cycle. Please confirm BlackRock ISF Market Minimum Initial Investment as well as the relationship between Cash Position Weight and Bond Positions Weight to decide if your BlackRock ISF Market buy or sell deciscion is justified.

    BlackRock ISF Returns Distribution Density

    Mean Return0.06Value At Risk0.48
    Potential Upside0.80Standard Deviation0.36
     Return Density 
          Distribution 

    BlackRock ISF Alerts

    Trading Alerts and Improvement Suggestions

    BlackRock ISF Market generates negative expected return over the last 30 days
    The fund retains about 50.22% 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.
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