Quack AI Market Value
| Q Crypto | USD 0.02 0.0003 1.89% |
| Symbol | Quack |
Quack AI '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 Quack AI'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 Quack AI.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in Quack AI on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding Quack AI or generate 0.0% return on investment in Quack AI over 30 days. Quack AI is related to or competes with Staked Ether, EigenLayer, Morpho, Allora, and DIA. Quack AI is peer-to-peer digital currency powered by the Blockchain technology.
Quack AI 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 Quack AI'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 Quack AI upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 50.34 | |||
| Value At Risk | (17.33) | |||
| Potential Upside | 14.29 |
Quack AI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quack AI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quack AI's standard deviation. In reality, there are many statistical measures that can use Quack AI historical prices to predict the future Quack AI's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (1.36) | |||
| Treynor Ratio | 0.1586 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quack AI'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.
Quack AI Backtested Returns
Quack AI is abnormally risky given 3 months investment horizon. Quack AI maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies digital coin had a 0.12 % return per unit of risk over the last 3 months. We were able to break down twenty-two different technical indicators, which can help you to evaluate if expected returns of 15.03% are justified by taking the suggested risk. Use Quack AI Variance of 82.08, coefficient of variation of (2,051), and Risk Adjusted Performance of (0.03) to evaluate coin specific risk that cannot be diversified away. The crypto holds a Beta of -2.85, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Quack AI are expected to decrease by larger amounts. On the other hand, during market turmoil, Quack AI is expected to outperform it.
Auto-correlation | 0.65 |
Good predictability
Quack AI has good predictability. Overlapping area represents the amount of predictability between Quack AI time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 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 Quack AI price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Quack AI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Quack AI lagged returns against current returns
Autocorrelation, which is Quack AI 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 Quack AI's crypto coin expected returns. We can calculate the autocorrelation of Quack AI returns to help us make a trade decision. For example, suppose you find that Quack AI 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 |
Quack AI 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 Quack AI crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quack AI crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quack AI crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Quack AI Lagged Returns
When evaluating Quack AI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quack AI crypto coin have on its future price. Quack AI 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, Quack AI autocorrelation shows the relationship between Quack AI crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Quack AI.
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 Quack AI offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Quack AI'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 Quack Ai Crypto.Check out Quack AI Correlation, Quack AI Volatility and Investing Opportunities module to complement your research on Quack AI. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Quack AI 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.