Macroaxis considers Box to be somewhat reliable. Box
secures Sharpe Ratio (or Efficiency) of -0.0187 which signifies that the organization had -0.0187% of return per unit of risk over the last 3 months. Macroaxis philosophy towards foreseeing risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. Box exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Box Mean Deviation
of 1.33, Risk Adjusted Performance
of 0.0252 and Downside Deviation
of 2.09 to double-check risk estimate we provide. The firm shows Beta (market volatility) of 1.2334 which signifies that as market goes up, the company is expected to significantly outperform it. However, if the market returns are negative, Box will likely underperform. Even though it is essential to pay attention to Box
historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis philosophy towards foreseeing future performance of any stock is to check both, its past performance charts as well as the business as a whole, including all available technical indicators
. Box exposes twenty-one different technical indicators which can help you to evaluate its performance. Box
has expected return of -0.0429%. Please be advised to confirm Box Information Ratio
and Downside Variance
to decide if Box
past performance will be repeated at some point in the near future.
Very good reverse predictability
Box has very good reverse predictability. Overlapping area represents the amount of predictability between Box time series from June 20, 2019 to August 4, 2019 and August 4, 2019 to September 18, 2019. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Box price movement. The serial correlation of -0.7 indicates that around 70.0% of current Box price fluctuation can be explain by its past prices. Given that Box has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of Box for similar time interval.