SKM Market Value
| SKM Crypto | USD 0.000068 0.000006 9.68% |
| Symbol | SKM |
SKM '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 SKM'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 SKM.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in SKM on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding SKM or generate 0.0% return on investment in SKM over 30 days. SKM is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. SKM is peer-to-peer digital currency powered by the Blockchain technology.
SKM 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 SKM'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 SKM upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 11.0 | |||
| Information Ratio | 0.0566 | |||
| Maximum Drawdown | 68.84 | |||
| Value At Risk | (17.50) | |||
| Potential Upside | 15.25 |
SKM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SKM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SKM's standard deviation. In reality, there are many statistical measures that can use SKM historical prices to predict the future SKM's volatility.| Risk Adjusted Performance | 0.0623 | |||
| Jensen Alpha | 0.5423 | |||
| Total Risk Alpha | (1.06) | |||
| Sortino Ratio | 0.0555 | |||
| Treynor Ratio | 0.48 |
SKM Backtested Returns
SKM appears to be abnormally risky, given 3 months investment horizon. SKM owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0396, which indicates digital coin had a 0.0396% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for SKM, which you can use to evaluate the volatility of coin. Please review SKM's risk adjusted performance of 0.0623, and Coefficient Of Variation of 1442.48 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 1.54, which indicates 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, SKM will likely underperform.
Auto-correlation | 0.49 |
Average predictability
SKM has average predictability. Overlapping area represents the amount of predictability between SKM time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SKM price movement. The serial correlation of 0.49 indicates that about 49.0% of current SKM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SKM lagged returns against current returns
Autocorrelation, which is SKM 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 SKM's crypto coin expected returns. We can calculate the autocorrelation of SKM returns to help us make a trade decision. For example, suppose you find that SKM 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 |
SKM 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 SKM crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SKM crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SKM crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SKM Lagged Returns
When evaluating SKM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SKM crypto coin have on its future price. SKM 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, SKM autocorrelation shows the relationship between SKM crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SKM.
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 SKM offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SKM'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 Skm Crypto.Check out SKM Correlation, SKM Volatility and Investing Opportunities module to complement your research on SKM. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
SKM 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.