Purpose Solana Etf Market Value
| SOLL-U Etf | 13.82 0.09 0.66% |
| Symbol | Purpose |
Purpose Solana '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 Purpose Solana's etf 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 Purpose Solana.
| 04/20/2025 |
| 07/19/2025 |
If you would invest 0.00 in Purpose Solana on April 20, 2025 and sell it all today you would earn a total of 0.00 from holding Purpose Solana Etf or generate 0.0% return on investment in Purpose Solana over 90 days.
Purpose Solana 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 Purpose Solana's etf 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 Purpose Solana Etf upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.31 | |||
| Information Ratio | 0.0958 | |||
| Maximum Drawdown | 17.75 | |||
| Value At Risk | (4.86) | |||
| Potential Upside | 9.36 |
Purpose Solana Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Purpose Solana's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Purpose Solana's standard deviation. In reality, there are many statistical measures that can use Purpose Solana historical prices to predict the future Purpose Solana's volatility.| Risk Adjusted Performance | 0.1299 | |||
| Jensen Alpha | 0.4806 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.1159 | |||
| Treynor Ratio | 1.97 |
Purpose Solana Etf Backtested Returns
Purpose Solana appears to be somewhat reliable, given 3 months investment horizon. Purpose Solana Etf maintains Sharpe Ratio (i.e., Efficiency) of 0.13, which implies the entity had a 0.13 % return per unit of risk over the last 3 months. By analyzing Purpose Solana's technical indicators, you can evaluate if the expected return of 0.52% is justified by implied risk. Please evaluate Purpose Solana's Semi Deviation of 2.88, coefficient of variation of 764.14, and Risk Adjusted Performance of 0.1299 to confirm if our risk estimates are consistent with your expectations. The etf holds a Beta of 0.26, which implies not very significant fluctuations relative to the market. As returns on the market increase, Purpose Solana's returns are expected to increase less than the market. However, during the bear market, the loss of holding Purpose Solana is expected to be smaller as well.
Auto-correlation | -0.07 |
Very weak reverse predictability
Purpose Solana Etf has very weak reverse predictability. Overlapping area represents the amount of predictability between Purpose Solana time series from 20th of April 2025 to 4th of June 2025 and 4th of June 2025 to 19th of July 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 Purpose Solana Etf price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Purpose Solana price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.61 |
Purpose Solana Etf lagged returns against current returns
Autocorrelation, which is Purpose Solana etf'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 Purpose Solana's etf expected returns. We can calculate the autocorrelation of Purpose Solana returns to help us make a trade decision. For example, suppose you find that Purpose Solana has exhibited high autocorrelation historically, and you observe that the etf 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 |
Purpose Solana 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 Purpose Solana etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Purpose Solana etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Purpose Solana etf over time.
Current vs Lagged Prices |
| Timeline |
Purpose Solana Lagged Returns
When evaluating Purpose Solana's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Purpose Solana etf have on its future price. Purpose Solana 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, Purpose Solana autocorrelation shows the relationship between Purpose Solana etf current value and its past values and can show if there is a momentum factor associated with investing in Purpose Solana Etf.
Regressed Prices |
| Timeline |
Pair Trading with Purpose Solana
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Purpose Solana position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Purpose Solana will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Purpose Solana could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Purpose Solana 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 Purpose Solana - 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 Purpose Solana Etf to buy it.
The correlation of Purpose Solana 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 perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Purpose Solana moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Purpose Solana Etf moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Purpose Solana can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.