Reliance Mid (India) Buy Hold or Sell Recommendation

    F00000PD72 -- India Fund  

    INR 45.78  0.81  1.80%

    Assuming 30 trading days horizon, and your above average risk tolerance our recommendation regarding Reliance Mid Small Cap Dir Gr is 'Not Rated'. Macroaxis provides Reliance Mid buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding F00000PD72 positions. The advice algorithm takes into account all of Reliance Mid Small available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from F00000PD72 buy-and-hold prospective. Additionally see Investing Opportunities.

    Time Horizon

    Risk Tolerance

    Execute Advice
    Sell Reliance MidBuy Reliance Mid
    Not Rated
    For the selected time horizon Reliance Mid Small Cap Dir Gr has a risk adjusted performance of 0.1077, jensen alpha of 0.027, total risk alpha of (0.06), sortino ratio of (0.19) and treynor ratio of 0.5944
    Reliance Mid advice module can be used to check and cross-verify current recommendation provided by analysts analyzing the entity potential to grow using all of fundamental, technical, data market data available at the time. Please employ Reliance Mid Total Asset and the relationship between Net Asset and Cash Position WeightTotal Asset, Minimum Initial Investment, Equity Positions Weight, as well as the relationship between Net Asset and Cash Position Weight to make buy, hold, or sell decision on Reliance Mid Small.

    Reliance Mid Returns Distribution Density

    Mean Return0.06Value At Risk0.74
    Potential Upside1.57Standard Deviation0.80
     Return Density 

    Reliance Mid Alerts

    Trading Alerts and Improvement Suggestions

    Reliance Mid Small is not yet fully synchronised with the market data
    The fund retains 97.4% of its assets under management (AUM) in equities
    Additionally see Investing Opportunities. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.