Phala Network Market Value
| PHA Crypto | USD 0.34 0.02 5.56% |
| Symbol | Phala |
Phala Network 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Phala Network's crypto coin what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Phala Network.
| 03/15/2023 |
| 01/03/2025 |
If you would invest 0.00 in Phala Network on March 15, 2023 and sell it all today you would earn a total of 0.00 from holding Phala Network or generate 0.0% return on investment in Phala Network over 660 days. Phala Network is related to or competes with Staked Ether, EigenLayer, and Tokocrypto. Phala Network is peer-to-peer digital currency powered by the Blockchain technology.
Phala Network Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Phala Network's crypto coin current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Phala Network upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.04 | |||
| Information Ratio | 0.1578 | |||
| Maximum Drawdown | 120.33 | |||
| Value At Risk | (11.36) | |||
| Potential Upside | 15.38 |
Phala Network Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Phala Network's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Phala Network's standard deviation. In reality, there are many statistical measures that can use Phala Network historical prices to predict the future Phala Network's volatility.| Risk Adjusted Performance | 0.1372 | |||
| Jensen Alpha | 2.76 | |||
| Total Risk Alpha | 2.73 | |||
| Sortino Ratio | 0.306 | |||
| Treynor Ratio | 0.8493 |
Phala Network Backtested Returns
Phala Network is abnormally risky given 3 months investment horizon. Phala Network maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies digital coin had a 0.16% return per unit of risk over the last 3 months. We were able to analyze twenty-eight different technical indicators, which can help you to evaluate if expected returns of 2.91% are justified by taking the suggested risk. Use Phala Network Semi Deviation of 5.27, coefficient of variation of 630.91, and Risk Adjusted Performance of 0.1372 to evaluate coin specific risk that cannot be diversified away. The crypto holds a Beta of 3.26, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Phala Network will likely underperform.
Auto-correlation | 0.65 |
Good predictability
Phala Network has good predictability. Overlapping area represents the amount of predictability between Phala Network time series from 15th of March 2023 to 8th of February 2024 and 8th of February 2024 to 3rd of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Phala Network price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Phala Network price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Phala Network lagged returns against current returns
Autocorrelation, which is Phala Network crypto coin's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Phala Network's crypto coin expected returns. We can calculate the autocorrelation of Phala Network returns to help us make a trade decision. For example, suppose you find that Phala Network has exhibited high autocorrelation historically, and you observe that the crypto coin is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Phala Network regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Phala Network crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Phala Network crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Phala Network crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Phala Network Lagged Returns
When evaluating Phala Network's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Phala Network crypto coin have on its future price. Phala Network autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Phala Network autocorrelation shows the relationship between Phala Network crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Phala Network.
Regressed Prices |
| Timeline |
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Check out Phala Network Correlation, Phala Network Volatility and Investing Opportunities module to complement your research on Phala Network. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Phala Network technical crypto coin analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, crypto market cycles, or different charting patterns.