IQC Market Value
IQC Crypto | USD 0.0007 0.000003 0.45% |
Symbol | IQC |
IQC '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 IQC'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 IQC.
12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in IQC on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding IQC or generate 0.0% return on investment in IQC over 90 days. IQC is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. IQC is peer-to-peer digital currency powered by the Blockchain technology.
IQC 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 IQC'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 IQC upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.06) | |||
Maximum Drawdown | 12.42 | |||
Value At Risk | (3.77) | |||
Potential Upside | 3.87 |
IQC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IQC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IQC's standard deviation. In reality, there are many statistical measures that can use IQC historical prices to predict the future IQC's volatility.Risk Adjusted Performance | (0.08) | |||
Jensen Alpha | (0.24) | |||
Total Risk Alpha | 0.0388 | |||
Treynor Ratio | (3.64) |
IQC Backtested Returns
IQC retains Efficiency (Sharpe Ratio) of -0.1, which attests that digital coin had a -0.1 % return per unit of return volatility over the last 3 months. IQC exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IQC's Standard Deviation of 2.31, coefficient of variation of (960.45), and Market Risk Adjusted Performance of (3.63) to validate the risk estimate we provide. The crypto owns a Beta (Systematic Risk) of 0.0688, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IQC's returns are expected to increase less than the market. However, during the bear market, the loss of holding IQC is expected to be smaller as well.
Auto-correlation | -0.61 |
Very good reverse predictability
IQC has very good reverse predictability. Overlapping area represents the amount of predictability between IQC time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 IQC price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current IQC price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.61 | |
Spearman Rank Test | -0.5 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
IQC lagged returns against current returns
Autocorrelation, which is IQC 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 IQC's crypto coin expected returns. We can calculate the autocorrelation of IQC returns to help us make a trade decision. For example, suppose you find that IQC 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 |
IQC 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 IQC crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IQC crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IQC crypto coin over time.
Current vs Lagged Prices |
Timeline |
IQC Lagged Returns
When evaluating IQC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IQC crypto coin have on its future price. IQC 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, IQC autocorrelation shows the relationship between IQC crypto coin current value and its past values and can show if there is a momentum factor associated with investing in IQC.
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 IQC offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IQC'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 Iqc Crypto.Check out IQC Correlation, IQC Volatility and Investing Opportunities module to complement your research on IQC. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
IQC 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.