SOLVE Market Value
| SOLVE Crypto | USD 0.02 0.0001 0.53% |
| Symbol | SOLVE |
SOLVE '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 SOLVE'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 SOLVE.
| 04/03/2024 |
| 05/03/2024 |
If you would invest 0.00 in SOLVE on April 3, 2024 and sell it all today you would earn a total of 0.00 from holding SOLVE or generate 0.0% return on investment in SOLVE over 30 days. SOLVE is related to or competes with Bitcoin, Solana, XRP, Open Network, Staked Ether, Dogecoin, and Avalanche. SOLVE is peer-to-peer digital currency powered by the Blockchain technology.
SOLVE 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 SOLVE'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 SOLVE upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 31.93 | |||
| Value At Risk | (6.58) | |||
| Potential Upside | 9.28 |
SOLVE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SOLVE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SOLVE's standard deviation. In reality, there are many statistical measures that can use SOLVE historical prices to predict the future SOLVE's volatility.| Risk Adjusted Performance | 0.0018 | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.40) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SOLVE'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.
SOLVE Backtested Returns
SOLVE owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0095, which indicates digital coin had a -0.0095% return per unit of volatility over the last 3 months. SOLVE exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SOLVE's risk adjusted performance of 0.0018, and Variance of 23.75 to confirm the risk estimate we provide. The entity has a beta of 0.69, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SOLVE's returns are expected to increase less than the market. However, during the bear market, the loss of holding SOLVE is expected to be smaller as well.
Auto-correlation | 0.91 |
Excellent predictability
SOLVE has excellent predictability. Overlapping area represents the amount of predictability between SOLVE time series from 3rd of April 2024 to 18th of April 2024 and 18th of April 2024 to 3rd of May 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 SOLVE price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current SOLVE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.91 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SOLVE lagged returns against current returns
Autocorrelation, which is SOLVE 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 SOLVE's crypto coin expected returns. We can calculate the autocorrelation of SOLVE returns to help us make a trade decision. For example, suppose you find that SOLVE 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 |
SOLVE 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 SOLVE crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SOLVE crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SOLVE crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SOLVE Lagged Returns
When evaluating SOLVE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SOLVE crypto coin have on its future price. SOLVE 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, SOLVE autocorrelation shows the relationship between SOLVE crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SOLVE.
Regressed Prices |
| Timeline |
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Check out SOLVE Correlation, SOLVE Volatility and Investing Opportunities module to complement your research on SOLVE. Note that the SOLVE information on this page should be used as a complementary analysis to other SOLVE's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
SOLVE 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.