Plasma Market Value
| XPL Crypto | USD 0.18 0.03 14.29% |
| Symbol | Plasma |
Plasma '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 Plasma'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 Plasma.
| 11/09/2025 |
| 01/08/2026 |
If you would invest 0.00 in Plasma on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Plasma or generate 0.0% return on investment in Plasma over 60 days. Plasma is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Plasma is peer-to-peer digital currency powered by the Blockchain technology.
Plasma 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 Plasma'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 Plasma upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 50.75 | |||
| Value At Risk | (15.00) | |||
| Potential Upside | 8.7 |
Plasma Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Plasma's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Plasma's standard deviation. In reality, there are many statistical measures that can use Plasma historical prices to predict the future Plasma's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.81) | |||
| Total Risk Alpha | (1.59) | |||
| Treynor Ratio | 2.35 |
Plasma Backtested Returns
Plasma is abnormally risky given 3 months investment horizon. Plasma maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies digital coin had a 0.12 % return per unit of risk over the last 3 months. We were able to break down and interpolate twenty-one different technical indicators, which can help you to evaluate if expected returns of 15.01% are justified by taking the suggested risk. Use Plasma Coefficient Of Variation of (1,081), risk adjusted performance of (0.06), and Variance of 78.9 to evaluate coin specific risk that cannot be diversified away. The crypto holds a Beta of -0.35, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Plasma are expected to decrease at a much lower rate. During the bear market, Plasma is likely to outperform the market.
Auto-correlation | -0.54 |
Good reverse predictability
Plasma has good reverse predictability. Overlapping area represents the amount of predictability between Plasma time series from 9th of November 2025 to 9th of December 2025 and 9th of December 2025 to 8th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Plasma price movement. The serial correlation of -0.54 indicates that about 54.0% of current Plasma price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | -0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Plasma lagged returns against current returns
Autocorrelation, which is Plasma 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 Plasma's crypto coin expected returns. We can calculate the autocorrelation of Plasma returns to help us make a trade decision. For example, suppose you find that Plasma 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 |
Plasma 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 Plasma crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Plasma crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Plasma crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Plasma Lagged Returns
When evaluating Plasma's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Plasma crypto coin have on its future price. Plasma 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, Plasma autocorrelation shows the relationship between Plasma crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Plasma.
Regressed Prices |
| Timeline |
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Check out Plasma Correlation, Plasma Volatility and Investing Opportunities module to complement your research on Plasma. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Plasma 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.