Hash Labs Correlations
| CGLO Stock | USD 0.0002 0.00 0.00% |
A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Hash Labs moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hash Labs moves in either direction, the perfectly negatively correlated security will move in the opposite direction.
Hash |
The ability to find closely correlated positions to Hash Labs could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hash Labs when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Hash Labs - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Hash Labs to buy it.
Related Correlations Analysis
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
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Risk-Adjusted Indicators
There is a big difference between Hash Pink Sheet performing well and Hash Labs Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Hash Labs' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| FRLI | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| NXTP | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| NTPY | 2.47 | 0.96 | 0.00 | (0.69) | 0.00 | 0.00 | 75.00 | |||
| ANVV | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| AGILQ | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| LIQDQ | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| EDTA | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| UNEQ | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| FCTI | 8.95 | 4.28 | 0.00 | 1.24 | 0.00 | 0.00 | 300.00 | |||
| KBNT | 4.47 | 1.32 | 0.00 | (1.24) | 0.00 | 0.00 | 166.67 |
Be your own money manager
Our tools can tell you how much better you can do entering a position in Hash Labs without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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Performance AnalysisCheck effects of mean-variance optimization against your current asset allocation |
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Hash Labs Corporate Management
| Anna Milaeva | Chief Officer | Profile | |
| Nancy Trick | Chief Officer | Profile | |
| David Dorr | President, CoFounder | Profile | |
| Pete Sedgwick | Chief Officer | Profile | |
| Lorenzo Delzoppo | Chief Officer | Profile | |
| Brian Dorr | COO CoFounder | Profile | |
| Lyle Hauser | CoFounder | Profile |