QSPMX Fund | | | USD 12.62 0.02 0.16% |
Quantified Pattern total-risk-alpha technical analysis lookup allows you to check this and other technical indicators for Quantified Pattern Recognition or any other equities. You can select from a set of available technical indicators by clicking on the link to the right. Please note, not all equities are covered by this module due to inconsistencies in global equity categorizations and data normalization technicques. Please check also
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Quantified Pattern Recognition has current Total Risk Alpha of 0.0816. The total risk alpha measures the performance of an asset by comparing its returns with those of a selected benchmark portfolio.
Total Risk Alpha | = | RFR + (ER[b] - ER[a]) | x | STD[a] / STD[b] |
| = | 0.0816 | |
ER[a] | = | Expected return on investing in Quantified Pattern |
ER[b] | = | Expected return on market index or selected benchmark |
STD[a] | = | Standard Deviation of returns on Quantified Pattern |
STD[b] | = | Standard Deviation of selected market or benchmark |
RFR | = | Risk Free Rate of return. Typically T-Bill Rate |
Quantified Pattern Total Risk Alpha Peers Comparison
Quantified Total Risk Alpha Relative To Other Indicators
Quantified Pattern Recognition is rated
second largest fund in total risk alpha among similar funds. It is currently under evaluation in maximum drawdown among similar funds reporting about
29.10 of Maximum Drawdown per Total Risk Alpha. The ratio of Maximum Drawdown to Total Risk Alpha for Quantified Pattern Recognition is roughly
29.10 The benchmark portfolio represents the market risk matched to the total risk of the stock ETF or fund.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.