UQC Market Value
| UQC Crypto | USD 3.06 0.32 9.47% |
| Symbol | UQC |
UQC '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 UQC'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 UQC.
| 11/10/2023 |
| 10/30/2025 |
If you would invest 0.00 in UQC on November 10, 2023 and sell it all today you would earn a total of 0.00 from holding UQC or generate 0.0% return on investment in UQC over 720 days. UQC is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. UQC is peer-to-peer digital currency powered by the Blockchain technology.
UQC 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 UQC'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 UQC upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 15.37 | |||
| Value At Risk | (7.87) | |||
| Potential Upside | 4.59 |
UQC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UQC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UQC's standard deviation. In reality, there are many statistical measures that can use UQC historical prices to predict the future UQC's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.68) | |||
| Total Risk Alpha | (1.14) | |||
| Treynor Ratio | (0.88) |
UQC Backtested Returns
UQC retains Efficiency (Sharpe Ratio) of -0.13, which indicates digital coin had a -0.13 % return per unit of volatility over the last 3 months. UQC exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate UQC's standard deviation of 3.71, and Risk Adjusted Performance of (0.1) to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.7, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, UQC's returns are expected to increase less than the market. However, during the bear market, the loss of holding UQC is expected to be smaller as well.
Auto-correlation | 0.24 |
Weak predictability
UQC has weak predictability. Overlapping area represents the amount of predictability between UQC time series from 10th of November 2023 to 4th of November 2024 and 4th of November 2024 to 30th of October 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 UQC price movement. The serial correlation of 0.24 indicates that over 24.0% of current UQC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 7.91 |
UQC lagged returns against current returns
Autocorrelation, which is UQC 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 UQC's crypto coin expected returns. We can calculate the autocorrelation of UQC returns to help us make a trade decision. For example, suppose you find that UQC 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 |
UQC 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 UQC crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UQC crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UQC crypto coin over time.
Current vs Lagged Prices |
| Timeline |
UQC Lagged Returns
When evaluating UQC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UQC crypto coin have on its future price. UQC 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, UQC autocorrelation shows the relationship between UQC crypto coin current value and its past values and can show if there is a momentum factor associated with investing in UQC.
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 UQC offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of UQC'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 Uqc Crypto.Check out UQC Correlation, UQC Volatility and Investing Opportunities module to complement your research on UQC. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
UQC 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.