Quadratic Interest Rate Etf Technical Analysis
| IVOL Etf | USD 18.96 0.11 0.58% |
As of the 31st of January, Quadratic Interest holds the Coefficient Of Variation of (1,515), variance of 0.1233, and Risk Adjusted Performance of (0.06). Quadratic Interest Rate technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the etf's future prices. Please check Quadratic Interest Rate market risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and skewness to decide if Quadratic Interest Rate is priced some-what accurately, providing market reflects its current price of 18.96 per share.
Quadratic Interest Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quadratic, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QuadraticQuadratic | Build AI portfolio with Quadratic Etf |
Investors evaluate Quadratic Interest Rate using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Quadratic Interest's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause Quadratic Interest's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Quadratic Interest's value and its price as these two are different measures arrived at by different means. Investors typically determine if Quadratic Interest is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Quadratic Interest's market price signifies the transaction level at which participants voluntarily complete trades.
Quadratic Interest '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 Quadratic Interest's etf 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 Quadratic Interest.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Quadratic Interest on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Quadratic Interest Rate or generate 0.0% return on investment in Quadratic Interest over 90 days. Quadratic Interest is related to or competes with VictoryShares 500, Vanguard Quality, PIMCO 1, EA Series, Principal Active, Goldman Sachs, and Fidelity High. The fund is actively managed and seeks to achieve its investment objective primarily by investing, directly or indirectl... More
Quadratic Interest 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 Quadratic Interest's etf 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 Quadratic Interest Rate upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 1.63 | |||
| Value At Risk | (0.63) | |||
| Potential Upside | 0.5836 |
Quadratic Interest Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quadratic Interest's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quadratic Interest's standard deviation. In reality, there are many statistical measures that can use Quadratic Interest historical prices to predict the future Quadratic Interest's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | 0.319 |
Quadratic Interest January 31, 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 | (0.06) | |||
| Market Risk Adjusted Performance | 0.329 | |||
| Mean Deviation | 0.278 | |||
| Coefficient Of Variation | (1,515) | |||
| Standard Deviation | 0.3511 | |||
| Variance | 0.1233 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | 0.319 | |||
| Maximum Drawdown | 1.63 | |||
| Value At Risk | (0.63) | |||
| Potential Upside | 0.5836 | |||
| Skewness | (0.07) | |||
| Kurtosis | (0.15) |
Quadratic Interest Rate Backtested Returns
Quadratic Interest Rate maintains Sharpe Ratio (i.e., Efficiency) of -0.0267, which implies the entity had a -0.0267 % return per unit of risk over the last 3 months. Quadratic Interest Rate exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quadratic Interest's Risk Adjusted Performance of (0.06), coefficient of variation of (1,515), and Variance of 0.1233 to confirm the risk estimate we provide. The etf holds a Beta of -0.1, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Quadratic Interest are expected to decrease at a much lower rate. During the bear market, Quadratic Interest is likely to outperform the market.
Auto-correlation | -0.19 |
Insignificant reverse predictability
Quadratic Interest Rate has insignificant reverse predictability. Overlapping area represents the amount of predictability between Quadratic Interest time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 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 Quadratic Interest Rate price movement. The serial correlation of -0.19 indicates that over 19.0% of current Quadratic Interest price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Quadratic Interest technical etf 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, etf market cycles, or different charting patterns.
Quadratic Interest Rate Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Quadratic Interest Rate volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Quadratic Interest 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 Quadratic Interest Rate 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 Quadratic Interest Rate based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Quadratic Interest Rate price pattern first instead of the macroeconomic environment surrounding Quadratic Interest Rate. By analyzing Quadratic Interest's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Quadratic Interest's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Quadratic Interest specific price patterns or momentum indicators. Please read more on our technical analysis page.
Quadratic Interest January 31, 2026 Technical Indicators
Most technical analysis of Quadratic 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 Quadratic from various momentum indicators to cycle indicators. When you analyze Quadratic 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 | (0.06) | |||
| Market Risk Adjusted Performance | 0.329 | |||
| Mean Deviation | 0.278 | |||
| Coefficient Of Variation | (1,515) | |||
| Standard Deviation | 0.3511 | |||
| Variance | 0.1233 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | 0.319 | |||
| Maximum Drawdown | 1.63 | |||
| Value At Risk | (0.63) | |||
| Potential Upside | 0.5836 | |||
| Skewness | (0.07) | |||
| Kurtosis | (0.15) |
Quadratic Interest Rate One Year Return
Based on the recorded statements, Quadratic Interest Rate has an One Year Return of 9.8%. This is 168.39% lower than that of the KraneShares family and significantly higher than that of the Inflation-Protected Bond category. The one year return for all United States etfs is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Quadratic Interest January 31, 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 Quadratic 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 | 0.01 | ||
| Daily Balance Of Power | 0.92 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 18.91 | ||
| Day Typical Price | 18.93 | ||
| Price Action Indicator | 0.11 | ||
| Market Facilitation Index | 0.12 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Quadratic Interest Rate. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Investors evaluate Quadratic Interest Rate using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Quadratic Interest's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause Quadratic Interest's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Quadratic Interest's value and its price as these two are different measures arrived at by different means. Investors typically determine if Quadratic Interest is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Quadratic Interest's market price signifies the transaction level at which participants voluntarily complete trades.