SAN Market Value
| SAN Crypto | USD 0.04 0 3.01% |
| Symbol | SAN |
SAN '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 SAN'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 SAN.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in SAN on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding SAN or generate 0.0% return on investment in SAN over 180 days. SAN is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. SAN is peer-to-peer digital currency powered by the Blockchain technology.
SAN 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 SAN'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 SAN upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.33 | |||
| Information Ratio | 0.1332 | |||
| Maximum Drawdown | 16.55 | |||
| Value At Risk | (4.18) | |||
| Potential Upside | 6.42 |
SAN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SAN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SAN's standard deviation. In reality, there are many statistical measures that can use SAN historical prices to predict the future SAN's volatility.| Risk Adjusted Performance | 0.1384 | |||
| Jensen Alpha | 0.5551 | |||
| Total Risk Alpha | 0.0037 | |||
| Sortino Ratio | 0.1468 | |||
| Treynor Ratio | 1.28 |
SAN Backtested Returns
SAN appears to be very volatile, given 3 months investment horizon. SAN owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.19, which indicates digital coin had a 0.19% return per unit of standard deviation over the last 3 months. By examining SAN's technical indicators, you can evaluate if the expected return of 0.69% is justified by implied risk. Please review SAN's Risk Adjusted Performance of 0.1384, market risk adjusted performance of 1.29, and Downside Deviation of 3.33 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.48, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SAN's returns are expected to increase less than the market. However, during the bear market, the loss of holding SAN is expected to be smaller as well.
Auto-correlation | -0.81 |
Excellent reverse predictability
SAN has excellent reverse predictability. Overlapping area represents the amount of predictability between SAN 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 SAN price movement. The serial correlation of -0.81 indicates that around 81.0% of current SAN price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.81 | |
| Spearman Rank Test | -0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SAN lagged returns against current returns
Autocorrelation, which is SAN 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 SAN's crypto coin expected returns. We can calculate the autocorrelation of SAN returns to help us make a trade decision. For example, suppose you find that SAN 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 |
SAN 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 SAN crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SAN crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SAN crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SAN Lagged Returns
When evaluating SAN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SAN crypto coin have on its future price. SAN 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, SAN autocorrelation shows the relationship between SAN crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SAN.
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 SAN offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SAN'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 San Crypto.Check out SAN Correlation, SAN Volatility and Investing Opportunities module to complement your research on SAN. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
SAN 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.