SXP Market Value
| SXP Crypto | USD 0.42 0.02 5.00% |
| Symbol | SXP |
SXP '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 SXP'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 SXP.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in SXP on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding SXP or generate 0.0% return on investment in SXP over 180 days. SXP is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. SXP is peer-to-peer digital currency powered by the Blockchain technology.
SXP 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 SXP'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 SXP upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.6 | |||
| Information Ratio | 0.1407 | |||
| Maximum Drawdown | 67.2 | |||
| Value At Risk | (9.38) | |||
| Potential Upside | 18.18 |
SXP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SXP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SXP's standard deviation. In reality, there are many statistical measures that can use SXP historical prices to predict the future SXP's volatility.| Risk Adjusted Performance | 0.1277 | |||
| Jensen Alpha | 1.43 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.2041 | |||
| Treynor Ratio | 4.18 |
SXP Backtested Returns
SXP is abnormally risky given 3 months investment horizon. SXP owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates digital coin had a 0.17% return per unit of standard deviation over the last 3 months. We were able to interpolate data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.62% are justified by taking the suggested risk. Use SXP coefficient of variation of 644.96, and Risk Adjusted Performance of 0.1277 to evaluate coin specific risk that cannot be diversified away. The entity has a beta of 0.35, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SXP's returns are expected to increase less than the market. However, during the bear market, the loss of holding SXP is expected to be smaller as well.
Auto-correlation | -0.7 |
Very good reverse predictability
SXP has very good reverse predictability. Overlapping area represents the amount of predictability between SXP time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 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 SXP price movement. The serial correlation of -0.7 indicates that around 70.0% of current SXP price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SXP lagged returns against current returns
Autocorrelation, which is SXP 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 SXP's crypto coin expected returns. We can calculate the autocorrelation of SXP returns to help us make a trade decision. For example, suppose you find that SXP 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 |
SXP 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 SXP crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SXP crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SXP crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SXP Lagged Returns
When evaluating SXP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SXP crypto coin have on its future price. SXP 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, SXP autocorrelation shows the relationship between SXP crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SXP.
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 SXP offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SXP'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 Sxp Crypto.Check out SXP Correlation, SXP Volatility and Investing Opportunities module to complement your research on SXP. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
SXP 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.