LT ST (India) Probability of Target Price Finishing Over Current Price

    LT ST probability of target price tool provides mechanism to make assumptions about upside and downside potential of LT ST Opp Dir Gr performance during a given time horizon utilizing its historical volatility. Please specify LT ST time horizon, a valid symbol (red box) and a target price (blue box) you would like LT ST odds to be computed. Check also Trending Equities.
    Horizon     30 Days    Login   to change
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    LT ST Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     0.00 30 days 0.00  UNDER 95%
    Based on normal probability distribution, the odds of LT ST to move above current price in 30 days from now is under 95% (This LT ST Opp Dir Gr probability density function shows the probability of LT ST Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, LT ST Opp Dir Gr has beta of -0.0081 . This suggests as returns on benchmark increase, returns on holding LT ST are expected to decrease at a much smaller rate. During bear market, however, LT ST Opp Dir Gr is likely to outperform the market. Additionally The company has an alpha of 0.1606 implying that it can potentially generate 0.1606% excess return over DOW after adjusting for the inherited market risk (beta).
     LT ST Price Density 
          Price 
    α
    Alpha over DOW
    =0.16
    β
    Beta against DOW=0.0081
    σ
    Overall volatility
    =8.01
    Ir
    Information ratio =0.20

    LT ST Alerts

    LT ST Alerts and Suggestions

    LT ST Opp is not yet fully synchronised with the market data
    LT ST Opp has some characteristics of a very speculative penny stock
    The fund holds about 35.88% of its total net assets in cash

    Price Density Drivers

    LT ST Health Indicators

    Check also Trending Equities. Please also try Instant Ratings module to determine any equity ratings based on digital recommendations. macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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