Phala Network Correlations
PHA Crypto | USD 0.35 0.01 2.78% |
The current 90-days correlation between Phala Network and EigenLayer is 0.15 (i.e., Average diversification). The correlation of Phala Network is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Phala Network Correlation With Market
Average diversification
The correlation between Phala Network and DJI is 0.15 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Phala Network and DJI in the same portfolio, assuming nothing else is changed. Please note that Phala Network is a digital instrument and cryptocurrency exchanges were notoriously volatile since the beginning of their establishment.
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The ability to find closely correlated positions to Phala Network could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Phala Network 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 Phala Network - 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 Phala Network to buy it.
Moving together with Phala Crypto Coin
0.61 | XRP | XRP | PairCorr |
0.65 | HBAR | Hedera Hashgraph | PairCorr |
0.68 | MANTLE | Mantle | PairCorr |
0.87 | BGB | Bitget token | PairCorr |
0.66 | AAVE | Aave | PairCorr |
0.87 | GT | Gatechain Token | PairCorr |
Related Correlations Analysis
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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 Phala Crypto Coin performing well and Phala Network Cryptocurrency 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 Phala Network's 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 | ||
---|---|---|---|---|---|---|---|---|---|---|
FWOG | 11.58 | 2.95 | 0.25 | 0.62 | 8.89 | 44.44 | 75.00 | |||
STETH | 2.87 | 0.68 | 0.20 | 0.65 | 2.79 | 7.58 | 21.77 | |||
EIGEN | 6.91 | 0.53 | 0.08 | 0.32 | 6.79 | 19.01 | 38.80 | |||
EOSDAC | 4.21 | 0.16 | 0.03 | 0.13 | 5.84 | 9.97 | 35.63 | |||
BLZ | 5.67 | (0.96) | 0.00 | (0.37) | 0.00 | 9.09 | 41.96 | |||
MORPHO | 1.92 | 0.38 | 0.00 | 1.55 | 0.00 | 9.71 | 32.05 | |||
TKO | 4.92 | 0.66 | 0.10 | 0.84 | 5.19 | 12.24 | 36.14 |
Be your own crypto manager
Our tools can tell you how much better you can do entering a position in Phala Network without increasing your portfolio risk or giving up the expected return. As an individual cryptocurrency investor, you need to find a reliable way to track the performance of all your tokens in a consistent way. 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 cryptocurrency portfolio.Did you try this?
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