Quack AI Technical Analysis
| Q Crypto | USD 0.02 0.0007 3.70% |
As of the 8th of February, Quack AI holds the Semi Deviation of 10.57, risk adjusted performance of 0.0385, and Coefficient Of Variation of 2779.79. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quack AI, as well as the relationship between them.
Quack AI Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quack, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QuackQuack |
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.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Quack AI on November 10, 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 90 days. Quack AI is related to or competes with Staked Ether, EigenLayer, Morpho, 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.
| Downside Deviation | 11.05 | |||
| Information Ratio | 0.0302 | |||
| Maximum Drawdown | 124.62 | |||
| Value At Risk | (17.33) | |||
| Potential Upside | 17.09 |
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 | 0.0385 | |||
| Jensen Alpha | 0.7142 | |||
| Total Risk Alpha | (0.99) | |||
| Sortino Ratio | 0.0426 | |||
| Treynor Ratio | (0.27) |
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 February 8, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0385 | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 9.1 | |||
| Semi Deviation | 10.57 | |||
| Downside Deviation | 11.05 | |||
| Coefficient Of Variation | 2779.79 | |||
| Standard Deviation | 15.59 | |||
| Variance | 243.18 | |||
| Information Ratio | 0.0302 | |||
| Jensen Alpha | 0.7142 | |||
| Total Risk Alpha | (0.99) | |||
| Sortino Ratio | 0.0426 | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 124.62 | |||
| Value At Risk | (17.33) | |||
| Potential Upside | 17.09 | |||
| Downside Variance | 122.14 | |||
| Semi Variance | 111.66 | |||
| Expected Short fall | (11.29) | |||
| Skewness | 2.9 | |||
| Kurtosis | 16.09 |
Quack AI Backtested Returns
Quack AI is abnormally risky given 3 months investment horizon. Quack AI maintains Sharpe Ratio (i.e., Efficiency) of 0.0727, which implies digital coin had a 0.0727 % return per unit of risk over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.12% are justified by taking the suggested risk. Use Quack AI Coefficient Of Variation of 2779.79, semi deviation of 10.57, and Risk Adjusted Performance of 0.0385 to evaluate coin specific risk that cannot be diversified away. The crypto holds a Beta of -2.05, 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 | -0.17 |
Insignificant reverse predictability
Quack AI has insignificant reverse predictability. Overlapping area represents the amount of predictability between Quack AI time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th of February 2026. 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 -0.17 indicates that over 17.0% of current Quack AI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.17 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.
Quack AI Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Quack AI volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Quack AI Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Quack AI on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Quack AI based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Quack AI price pattern first instead of the macroeconomic environment surrounding Quack AI. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Quack AI's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to Quack AI specific price patterns or momentum indicators.
Quack AI February 8, 2026 Technical Indicators
Most technical analysis of Quack help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Quack from various momentum indicators to cycle indicators. When you analyze Quack charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0385 | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 9.1 | |||
| Semi Deviation | 10.57 | |||
| Downside Deviation | 11.05 | |||
| Coefficient Of Variation | 2779.79 | |||
| Standard Deviation | 15.59 | |||
| Variance | 243.18 | |||
| Information Ratio | 0.0302 | |||
| Jensen Alpha | 0.7142 | |||
| Total Risk Alpha | (0.99) | |||
| Sortino Ratio | 0.0426 | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 124.62 | |||
| Value At Risk | (17.33) | |||
| Potential Upside | 17.09 | |||
| Downside Variance | 122.14 | |||
| Semi Variance | 111.66 | |||
| Expected Short fall | (11.29) | |||
| Skewness | 2.9 | |||
| Kurtosis | 16.09 |
Quack AI February 8, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Quack stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.20 | ||
| Daily Balance Of Power | (0.19) | ||
| Rate Of Daily Change | 0.96 | ||
| Day Median Price | 0.02 | ||
| Day Typical Price | 0.02 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0 |
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Quack AI. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in private. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..