SNM Market Value
| SNM Crypto | USD 0 0.000069 6.21% |
| Symbol | SNM |
SNM '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 SNM'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 SNM.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in SNM on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding SNM or generate 0.0% return on investment in SNM over 90 days. SNM is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. SNM is peer-to-peer digital currency powered by the Blockchain technology.
SNM 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 SNM'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 SNM upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 30.28 | |||
| Value At Risk | (9.58) | |||
| Potential Upside | 11.5 |
SNM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SNM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SNM's standard deviation. In reality, there are many statistical measures that can use SNM historical prices to predict the future SNM's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.38) | |||
| Total Risk Alpha | 0.4639 | |||
| Treynor Ratio | 225.09 |
SNM Backtested Returns
SNM owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0551, which indicates digital coin had a -0.0551 % return per unit of standard deviation over the last 3 months. SNM exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SNM's variance of 45.68, and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity has a beta of -0.0017, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SNM are expected to decrease at a much lower rate. During the bear market, SNM is likely to outperform the market.
Auto-correlation | -0.1 |
Very weak reverse predictability
SNM has very weak reverse predictability. Overlapping area represents the amount of predictability between SNM time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 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 SNM price movement. The serial correlation of -0.1 indicates that less than 10.0% of current SNM price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.1 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SNM lagged returns against current returns
Autocorrelation, which is SNM 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 SNM's crypto coin expected returns. We can calculate the autocorrelation of SNM returns to help us make a trade decision. For example, suppose you find that SNM 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 |
SNM 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 SNM crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SNM crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SNM crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SNM Lagged Returns
When evaluating SNM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SNM crypto coin have on its future price. SNM 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, SNM autocorrelation shows the relationship between SNM crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SNM.
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 SNM offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SNM'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 Snm Crypto.Check out SNM Correlation, SNM Volatility and Investing Opportunities module to complement your research on SNM. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
SNM 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.