has Sharpe Ratio of -0.1371 which conveys that NQPH
had -0.1371% of return per unit of volatility over the last 1 month. Macroaxis approach towards estimating risk of any index is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. NQPH exposes twenty-eight different technical indicators
which can help you to evaluate volatility that cannot be diversified away. The index secures Beta (Market Risk) of 0.0 which conveys that the returns on MARKET and NQPH are completely uncorrelated. Even though it is essential to pay attention to NQPH price patterns
, it is always good to be careful when utilizing equity historical price patterns
. Macroaxis approach towards estimating future performance of any index is to check both, its past performance charts as well as the business as a whole, including all available technical indicators
. NQPH exposes twenty-eight different technical indicators which can help you to evaluate its performance.
|15 days auto-correlation|| 0.29 |
NQPH has poor predictability. Overlapping area represents the amount of predictability between NQPH time series from May 19, 2018 to June 3, 2018 and June 3, 2018 to June 18, 2018. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of NQPH price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current NQPH price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.29|
|Spearman Rank Test|| 0.21|
|Price Variance|| 498.26|
|Lagged Price Variance|| 60.22|