Quadratic Deflation ETF Technical Analysis
| BNDD Etf | USD 98.75 0.00 0.00% |
As of the 16th of March 2026, the last recorded price for Quadratic Deflation is 98.75 per share. Primary technical drivers reflect Risk Adjusted Performance of 0.0318, coefficient of variation of 2577.98, and Semi Deviation of 0.855. Quantitative analysis incorporates volatility metrics and price behavior to assess directional bias. Metrics are compared to industry averages to assess relative positioning.
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 |
Market capitalization and book value offer complementary views of Quadratic Deflation ETF - the first driven by investor sentiment, the second by accounting standards. Value and price for Quadratic Deflation are related but not identical, and they can diverge across cycles. Trading price represents the transaction level agreed by market participants.
Value and price for Quadratic Deflation are related but not identical, and they can diverge across cycles. Analysis often considers earnings, revenue quality, fundamentals, technical signals, competition, and analyst coverage. Quadratic Deflation's trading price represents the transaction level agreed by market participants.
What if' Analysis
Historical what-if analysis for Quadratic Deflation ETF is useful because it converts abstract timing questions into a structured review of past performance under changing entry and holding periods. The stronger interpretation comes from comparing realized return, risk, and path dependency instead of focusing only on the best historical outcome.
| 12/16/2025 |
| 03/16/2026 |
If you invested 0.00 in Quadratic Deflation on December 16, 2025 and closed the position today, you would produce 0.00 in net gains. The change equals a 0.0% cumulative return in Quadratic Deflation in aggregate over a 90 day window. Quadratic Deflation is related to or competes with Invesco Electric, SPDR SSGA, Macquarie ETF, IShares Lithium, Global X, ProShares Ultra, and ETF Series. The list provides context for relative analysis. It invests in Treasuries of various maturities directly or through other ETFs that invest in Treasuries More
Quadratic Deflation Momentum Range Indicators Overview
This section highlights upside and downside signals that contextualize Quadratic Deflation price behavior. They provide a structured view of short-term momentum and range behavior.
| Downside Deviation | 0.9154 | |||
| Information Ratio | 0.0783 | |||
| Maximum Drawdown | 5.7 | |||
| Value At Risk | -1.08 | |||
| Potential Upside | 1.48 |
Quadratic Deflation Market Risk Indicators Summary
Risk measures here provide context on Quadratic Deflation's return distribution and drawdown behavior. The indicators highlight how volatility has behaved across recent periods.| Risk Adjusted Performance | 0.0318 | |||
| Jensen Alpha | 0.0343 | |||
| Total Risk Alpha | 0.074 | |||
| Sortino Ratio | 0.0754 | |||
| Treynor Ratio | 0.108 |
The concept of mean reversion suggests that Quadratic Deflation's price will eventually return toward its long-run average. High prices may deter value investors, while unusually low prices often attract buyers who anticipate a recovery.
Technical Indicators
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| Momentum Indicators | ||
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| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0318 | |||
| Market Risk Adjusted Performance | 0.118 | |||
| Mean Deviation | 0.6383 | |||
| Semi Deviation | 0.855 | |||
| Downside Deviation | 0.9154 | |||
| Coefficient Of Variation | 2577.98 | |||
| Standard Deviation | 0.8826 | |||
| Variance | 0.7789 | |||
| Information Ratio | 0.0783 | |||
| Jensen Alpha | 0.0343 | |||
| Total Risk Alpha | 0.074 | |||
| Sortino Ratio | 0.0754 | |||
| Treynor Ratio | 0.108 | |||
| Maximum Drawdown | 5.7 | |||
| Value At Risk | -1.08 | |||
| Potential Upside | 1.48 | |||
| Downside Variance | 0.838 | |||
| Semi Variance | 0.7309 | |||
| Expected Short fall | -0.69 | |||
| Skewness | -0.90 | |||
| Kurtosis | 4.37 |
Quadratic Deflation ETF Backtested Returns
Over the selected 3 months, Quadratic Deflation demonstrates a very low volatility profile. It records an Efficiency (Sharpe) Ratio of 0.0604, indicating risk-adjusted returns over the last 3 months. Volatility modeling revealed twenty-eight technical measures impacting risk exposure. Please analyze metrics such as risk-adjusted performance of 0.0318, coefficient of variation of 2577.98, and Semi Deviation of 0.855 to assess dispersion and downside exposure. The etf owns a Beta (Systematic Risk) of 0.22, which conveys relatively modest fluctuations relative to the market. With a sub-1 beta, Quadratic Deflation participates in market rallies at a reduced pace while also limiting downside exposure.
Auto-correlation | 0.09 |
Virtually no predictability
Quadratic Deflation ETF exhibits virtually no predictability. Autocorrelation measures the degree of predictability between Quadratic Deflation time series from 16th of December 2025 to 30th of January 2026 and from 30th of January 2026 to 16th of March 2026. Persistent correlation between intervals suggests underlying momentum patterns in Quadratic Deflation that may carry forward. The measured coefficient of 0.09 means less than 9.0% of Quadratic Deflation's recent price variance traces back to prior period behavior.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 1.65 |
Technical analysis for Quadratic Deflation examines price and volume behavior across market regimes. The view references moving averages, RSI, regressions, and chart pattern signals.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. 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 Deflation ETF volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Quadratic Deflation evaluates traded price structure, volume, and spread stability relative to NAV behavior. Volume and liquidity conditions influence signal reliability. Reduced trading volume may increase short-term pricing variability.
For Quadratic Deflation ETF, this section uses fund disclosures and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist.
This content is curated and reviewed by:
Gabriel Shpitalnik - Member of Macroaxis Editorial BoardQuadratic Deflation Technical Indicators
Technical analysis of Quadratic Deflation ETF is useful because it helps investors judge whether the current trend still looks durable or is beginning to weaken. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0318 | |||
| Market Risk Adjusted Performance | 0.118 | |||
| Mean Deviation | 0.6383 | |||
| Semi Deviation | 0.855 | |||
| Downside Deviation | 0.9154 | |||
| Coefficient Of Variation | 2577.98 | |||
| Standard Deviation | 0.8826 | |||
| Variance | 0.7789 | |||
| Information Ratio | 0.0783 | |||
| Jensen Alpha | 0.0343 | |||
| Total Risk Alpha | 0.074 | |||
| Sortino Ratio | 0.0754 | |||
| Treynor Ratio | 0.108 | |||
| Maximum Drawdown | 5.7 | |||
| Value At Risk | -1.08 | |||
| Potential Upside | 1.48 | |||
| Downside Variance | 0.838 | |||
| Semi Variance | 0.7309 | |||
| Expected Short fall | -0.69 | |||
| Skewness | -0.90 | |||
| Kurtosis | 4.37 |
March 16, 2026 Daily Trend Indicators
Technical analysis of Quadratic Deflation ETF is useful because it helps investors judge whether the current trend still looks durable or is beginning to weaken. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 98.43 | ||
| Day Typical Price | 98.54 | ||
| Price Action Indicator | 0.32 | ||
| Market Facilitation Index | 0.64 |
More Resources for Quadratic Etf Analysis
A structured review of Quadratic Deflation ETF often starts with core financial statements and trend context. Quadratic Deflation's financial ratios translate raw accounting data into comparable profitability and efficiency signals. Selected reports below provide context for Quadratic Etf:Use Trending Equities to better understand diversified portfolio construction. Clearer exposure analysis supports long-term portfolio balance. This includes a position in Quadratic Deflation ETF within the allocation view. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in median. Investors get more value from Quadratic Deflation analysis when it is combined with other construction and diversification tools. Quadratic Deflation analysis across multiple dimensions - risk, valuation, diversification - produces a more informed position-sizing decision. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Market capitalization and book value offer complementary views of Quadratic Deflation ETF - the first driven by investor sentiment, the second by accounting standards. Value and price for Quadratic Deflation are related but not identical, and they can diverge across cycles. Trading price represents the transaction level agreed by market participants.
Value and price for Quadratic Deflation are related but not identical, and they can diverge across cycles. Analysis often considers earnings, revenue quality, fundamentals, technical signals, competition, and analyst coverage. Quadratic Deflation's trading price represents the transaction level agreed by market participants.