Macroaxis considers Miller Opportunity to be not too risky. Miller Opportunity
has Sharpe Ratio of -7.0E-4 which conveys that Miller Opportunity
had -7.0E-4% of return per unit of risk over the last 1 month. Macroaxis philosophy towards estimating risk of any fund is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. Miller Opportunity exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to verify Miller Opportunity A Downside Deviation
of 1.49, Mean Deviation
of 0.579 and Risk Adjusted Performance
of 0.0252 to check out risk estimate we provide. The fund secures Beta (Market Risk) of 0.1682 which conveys that as returns on market increase, Miller Opportunity returns are expected to increase less than the market. However during bear market, the loss on holding Miller Opportunity will be expected to be smaller as well.. Even though it is essential to pay attention to Miller Opportunity price patterns
, it is always good to be careful when utilizing equity historical price patterns
. Macroaxis philosophy towards estimating future performance of any fund is to check both, its past performance charts as well as the business as a whole, including all available technical indicators
. Miller Opportunity exposes twenty-one different technical indicators which can help you to evaluate its performance.
|15 days auto-correlation|| 0.52 |
Miller Opportunity A has modest predictability. Overlapping area represents the amount of predictability between Miller Opportunity time series from August 21, 2018 to September 5, 2018 and September 5, 2018 to September 20, 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 Miller Opportunity price movement. The serial correlation of 0.52 indicates that about 52.0% of current Miller Opportunity price fluctuation can be explain by its past prices.
|Spearman Rank Test||0.2|