SRM Market Value
| SRM Crypto | USD 0.01 0.0007 4.76% |
| Symbol | SRM |
SRM '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 SRM'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 SRM.
| 04/20/2025 |
| 07/19/2025 |
If you would invest 0.00 in SRM on April 20, 2025 and sell it all today you would earn a total of 0.00 from holding SRM or generate 0.0% return on investment in SRM over 90 days. SRM is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. SRM is peer-to-peer digital currency powered by the Blockchain technology.
SRM 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 SRM'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 SRM upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 27.14 | |||
| Value At Risk | (6.52) | |||
| Potential Upside | 9.7 |
SRM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SRM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SRM's standard deviation. In reality, there are many statistical measures that can use SRM historical prices to predict the future SRM's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.86) | |||
| Treynor Ratio | 0.437 |
SRM Backtested Returns
SRM owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0229, which indicates digital coin had a -0.0229 % return per unit of standard deviation over the last 3 months. SRM exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SRM's risk adjusted performance of (0.01), and Variance of 27.24 to confirm the risk estimate we provide. The entity has a beta of -0.3, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SRM are expected to decrease at a much lower rate. During the bear market, SRM is likely to outperform the market.
Auto-correlation | 0.43 |
Average predictability
SRM has average predictability. Overlapping area represents the amount of predictability between SRM 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 SRM price movement. The serial correlation of 0.43 indicates that just about 43.0% of current SRM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SRM lagged returns against current returns
Autocorrelation, which is SRM 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 SRM's crypto coin expected returns. We can calculate the autocorrelation of SRM returns to help us make a trade decision. For example, suppose you find that SRM 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 |
SRM 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 SRM crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SRM crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SRM crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SRM Lagged Returns
When evaluating SRM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SRM crypto coin have on its future price. SRM 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, SRM autocorrelation shows the relationship between SRM crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SRM.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether SRM offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SRM's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Srm Crypto.Check out SRM Correlation, SRM Volatility and Investing Opportunities module to complement your research on SRM. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
SRM 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.