Quadratic Deflation Etf Technical Analysis
| BNDD Etf | USD 98.02 0.35 0.36% |
As of the 28th of February, Quadratic Deflation holds the Coefficient Of Variation of 10312.79, semi deviation of 0.8308, and Risk Adjusted Performance of 0.0081. Quadratic Deflation ETF 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 Deflation ETF jensen alpha, semi variance, and the relationship between the standard deviation and value at risk to decide if Quadratic Deflation ETF is priced some-what accurately, providing market reflects its current price of 98.02 per share.
Quadratic Deflation 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 |
Understanding Quadratic Deflation ETF requires distinguishing between market price and book value, where the latter reflects Quadratic's accounting equity. The concept of intrinsic value - what Quadratic Deflation's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Quadratic Deflation's price substantially above or below its fundamental value.
It's important to distinguish between Quadratic Deflation's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Quadratic Deflation should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Quadratic Deflation's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Quadratic Deflation '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 Deflation'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 Deflation.
| 11/30/2025 |
| 02/28/2026 |
If you would invest 0.00 in Quadratic Deflation on November 30, 2025 and sell it all today you would earn a total of 0.00 from holding Quadratic Deflation ETF or generate 0.0% return on investment in Quadratic Deflation over 90 days. Quadratic Deflation is related to or competes with Invesco Electric, SPDR SSGA, Macquarie ETF, IShares Lithium, Global X, ProShares Ultra, and ETF Series. It invests in Treasuries of various maturities directly or through other ETFs that invest in Treasuries More
Quadratic Deflation 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 Deflation'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 Deflation ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8606 | |||
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 5.7 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 1.49 |
Quadratic Deflation Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quadratic Deflation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quadratic Deflation's standard deviation. In reality, there are many statistical measures that can use Quadratic Deflation historical prices to predict the future Quadratic Deflation's volatility.| Risk Adjusted Performance | 0.0081 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | 0.8719 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quadratic Deflation'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.
Quadratic Deflation February 28, 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 | 0.0081 | |||
| Market Risk Adjusted Performance | 0.8819 | |||
| Mean Deviation | 0.5693 | |||
| Semi Deviation | 0.8308 | |||
| Downside Deviation | 0.8606 | |||
| Coefficient Of Variation | 10312.79 | |||
| Standard Deviation | 0.8245 | |||
| Variance | 0.6798 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | 0.8719 | |||
| Maximum Drawdown | 5.7 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 1.49 | |||
| Downside Variance | 0.7407 | |||
| Semi Variance | 0.6902 | |||
| Expected Short fall | (0.63) | |||
| Skewness | (1.05) | |||
| Kurtosis | 6.18 |
Quadratic Deflation ETF Backtested Returns
At this point, Quadratic Deflation is very steady. Quadratic Deflation ETF maintains Sharpe Ratio (i.e., Efficiency) of close to zero, which implies the entity had a close to zero % return per unit of risk over the last 3 months. We have found thirty technical indicators for Quadratic Deflation ETF, which you can use to evaluate the volatility of the etf. Please check Quadratic Deflation's Semi Deviation of 0.8308, risk adjusted performance of 0.0081, and Coefficient Of Variation of 10312.79 to confirm if the risk estimate we provide is consistent with the expected return of 0.0075%. The etf holds a Beta of -0.0023, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Quadratic Deflation are expected to decrease at a much lower rate. During the bear market, Quadratic Deflation is likely to outperform the market.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Quadratic Deflation ETF has insignificant reverse predictability. Overlapping area represents the amount of predictability between Quadratic Deflation time series from 30th of November 2025 to 14th of January 2026 and 14th of January 2026 to 28th 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 Quadratic Deflation ETF price movement. The serial correlation of -0.18 indicates that over 18.0% of current Quadratic Deflation price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 1.43 |
Quadratic Deflation 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 Deflation ETF Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Quadratic Deflation ETF across different markets.
About Quadratic Deflation 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 Deflation ETF 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 Deflation ETF based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Quadratic Deflation ETF price pattern first instead of the macroeconomic environment surrounding Quadratic Deflation ETF. By analyzing Quadratic Deflation'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 Deflation'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 Deflation specific price patterns or momentum indicators. Please read more on our technical analysis page.
Quadratic Deflation February 28, 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 | 0.0081 | |||
| Market Risk Adjusted Performance | 0.8819 | |||
| Mean Deviation | 0.5693 | |||
| Semi Deviation | 0.8308 | |||
| Downside Deviation | 0.8606 | |||
| Coefficient Of Variation | 10312.79 | |||
| Standard Deviation | 0.8245 | |||
| Variance | 0.6798 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | 0.8719 | |||
| Maximum Drawdown | 5.7 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 1.49 | |||
| Downside Variance | 0.7407 | |||
| Semi Variance | 0.6902 | |||
| Expected Short fall | (0.63) | |||
| Skewness | (1.05) | |||
| Kurtosis | 6.18 |
Quadratic Deflation February 28, 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 | 9.21 | ||
| Daily Balance Of Power | (0.34) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 97.51 | ||
| Day Typical Price | 97.68 | ||
| Price Action Indicator | 0.33 | ||
| Market Facilitation Index | 0 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Quadratic Deflation ETF. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in discontinued. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Understanding Quadratic Deflation ETF requires distinguishing between market price and book value, where the latter reflects Quadratic's accounting equity. The concept of intrinsic value - what Quadratic Deflation's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Quadratic Deflation's price substantially above or below its fundamental value.
It's important to distinguish between Quadratic Deflation's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Quadratic Deflation should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Quadratic Deflation's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.