SMART Market Value
| SMART Crypto | USD 0.000019 0.000014 42.42% |
| Symbol | SMART |
SMART '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 SMART'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 SMART.
| 12/13/2024 |
| 03/13/2025 |
If you would invest 0.00 in SMART on December 13, 2024 and sell it all today you would earn a total of 0.00 from holding SMART or generate 0.0% return on investment in SMART over 90 days. SMART is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. SMART is peer-to-peer digital currency powered by the Blockchain technology.
SMART 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 SMART'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 SMART upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 47.42 | |||
| Value At Risk | (4.76) | |||
| Potential Upside | 2.7 |
SMART Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SMART's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SMART's standard deviation. In reality, there are many statistical measures that can use SMART historical prices to predict the future SMART's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.85) | |||
| Total Risk Alpha | (0.1) | |||
| Treynor Ratio | (0.92) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SMART's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SMART Backtested Returns
SMART retains Efficiency (Sharpe Ratio) of -0.17, which indicates digital coin had a -0.17 % return per unit of risk over the last 3 months. SMART exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SMART's standard deviation of 5.8, and Risk Adjusted Performance of (0.13) to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 1.07, which indicates a somewhat significant risk relative to the market. SMART returns are very sensitive to returns on the market. As the market goes up or down, SMART is expected to follow.
Auto-correlation | -0.48 |
Modest reverse predictability
SMART has modest reverse predictability. Overlapping area represents the amount of predictability between SMART time series from 13th of December 2024 to 27th of January 2025 and 27th of January 2025 to 13th 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 SMART price movement. The serial correlation of -0.48 indicates that about 48.0% of current SMART price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.48 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SMART lagged returns against current returns
Autocorrelation, which is SMART 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 SMART's crypto coin expected returns. We can calculate the autocorrelation of SMART returns to help us make a trade decision. For example, suppose you find that SMART 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 |
SMART 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 SMART crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SMART crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SMART crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SMART Lagged Returns
When evaluating SMART's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SMART crypto coin have on its future price. SMART 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, SMART autocorrelation shows the relationship between SMART crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SMART.
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 SMART offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SMART'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 Smart Crypto.Check out SMART Correlation, SMART Volatility and Investing Opportunities module to complement your research on SMART. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
SMART 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.