Mendes Jnior (Brazil) Buy Hold or Sell Recommendation

    MEND5 -- Brazil Stock  

    BRL 4.40  0.00  0.00%

    Assuming 30 trading days horizon, and your above average risk tolerance our recommendation regarding Mendes Jnior Engenharia S A is 'Not Rated'. Macroaxis provides Mendes Jnior buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding MEND5 positions. The advice algorithm takes into account all of Mendes Jnior Engenharia available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from MEND5 buy-and-hold prospective. Please see also Stocks Correlation.

    Time Horizon

    Risk Tolerance

    Symbol
    Execute Advice
    Sell Mendes JniorBuy Mendes Jnior
    Not Rated
    For the selected time horizon Mendes Jnior Engenharia S A has a risk adjusted performance of 0.0, jensen alpha of 0.0, total risk alpha of 0.0, sortino ratio of 0.0 and treynor ratio of 0.0
    We provide buy, hold, or sell recommendation to complement the last-minute expert consensus on Mendes Jnior Engenharia S A. 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. To make sure Mendes Jnior Engenharia is not overpriced, please verify all Mendes Jnior Engenharia S A fundamentals including its Price to Sales, Gross Profit, Net Income, as well as the relationship between Revenue and EBITDA .

    Mendes Jnior Alerts

    Trading Alerts and Improvement Suggestions

    Mendes Jnior generates negative expected return over the last 30 days
    Mendes Jnior has high likelihood to experience some financial distress in the next 2 years
    The company reported revenue of 3.75 M. Net Loss for the year was (1.55 B) with profit before overhead, payroll, taxes, and interest of 3.45 M.
    Please see also Stocks Correlation. 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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