Rayliant Quantitative Developed Etf Technical Analysis
| RAYDDelisted Etf | USD 31.79 -0.50 -1.55% |
As of the 24th of March, Rayliant Quantitative trades at 31.79 per share. Key technical indicators include Risk Adjusted Performance of -0.06, variance of 0.7013, and Coefficient Of Variation of -1,417. The technical model evaluates historical price movement, trading volume, and volatility patterns to quantify trend strength. Current values are evaluated relative to sector peers and historical ranges.
Rayliant Quantitative Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Rayliant, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RayliantRayliant |
What if' Analysis
What-if analysis for Rayliant Quantitative Developed is essentially a historical sensitivity test that shows how changes in the investment horizon could have altered realized return, drawdown, and timing outcomes. This becomes more informative when investors use the backtest to challenge timing assumptions rather than to search for a perfect historical entry point.
| 12/24/2025 |
| 03/24/2026 |
A 0.00 position in Rayliant Quantitative initiated on December 24, 2025 and held to today would produce 0.00 in net return. In total, that is a 0.0% return on investment in Rayliant Quantitative for the period across 90 days. Values are drawn from observed market activity across periods. Comparable ETF peers for Rayliant Quantitative include Rayliant Quantamental, Future Fund, Goldman Sachs, Simplify Equity, American Customer, 6 Meridian, and Return Stacked. The fund invests, under normal circumstances, at least 80 percent of its net assets plus any borrowings for investment p... More
Rayliant Quantitative Upside and Downside Indicators Snapshot
Directional momentum for Rayliant Quantitative is captured through indicators that track upside and downside price ranges. All values are computed from publicly available trading activity and price records.
| Information Ratio | -0.0014 | |||
| Maximum Drawdown | 4.18 | |||
| Value At Risk | -1.49 | |||
| Potential Upside | 1.13 |
Volatility and Risk Indicators for Rayliant Quantitative Overview
Market risk indicators summarize volatility and return dispersion for Rayliant Quantitative. All data reflects available market observations.| Risk Adjusted Performance | -0.06 | |||
| Jensen Alpha | -0.09 | |||
| Total Risk Alpha | 3.0E-4 | |||
| Treynor Ratio | 0.2678 |
Experienced market participants anticipate that Rayliant Quantitative's price will even out over time. Periods when Rayliant Quantitative's deviates significantly from its historical mean may warrant further fundamental analysis.
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 | 0.2778 | |||
| Mean Deviation | 0.6758 | |||
| Coefficient Of Variation | -1,417 | |||
| Standard Deviation | 0.8375 | |||
| Variance | 0.7013 | |||
| Information Ratio | -0.0014 | |||
| Jensen Alpha | -0.09 | |||
| Total Risk Alpha | 3.0E-4 | |||
| Treynor Ratio | 0.2678 | |||
| Maximum Drawdown | 4.18 | |||
| Value At Risk | -1.49 | |||
| Potential Upside | 1.13 | |||
| Skewness | -0.03 | |||
| Kurtosis | -0.19 |
Rayliant Quantitative Backtested Returns
Rayliant Quantitative appears to exhibit a very low volatility profile over the selected 3 months investment horizon. It has a Sharpe Ratio (Efficiency) of -0.0986, summarizing negative risk-adjusted behavior across 3 months. We identified twenty-four technical indicators influencing the company's volatility profile. Please review metrics such as risk-adjusted performance of -0.06, variance of 0.7013, and Coefficient Of Variation of -1,417 to confirm whether our risk estimates align with your expectations. The etf retains a Beta (Market Risk) of -0.26, which conveys very low measured sensitivity to broad market movements. As returns on the market increase, returns on Rayliant Quantitative tend to move in the opposite direction, though by a smaller magnitude. During a bear market, however, Rayliant Quantitative is likely to outperform the market.
Auto-correlation | -0.26 |
Weak reverse predictability
The autocorrelation profile for Rayliant Quantitative Developed registers weak reverse predictability between the two measured intervals. When lagged price patterns show consistency, they can serve as a partial input for modeling Rayliant Quantitative's near-term price behavior. A serial correlation of -0.26 indicates that nearly 26.0% of current Rayliant Quantitative price fluctuations can be explained by its historical price movements. Given that Rayliant Quantitative Developed has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.25 |
This technical analysis module for Rayliant Quantitative is structured around price and volume data. This information reflects recorded price and volume activity over time.
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 Rayliant Quantitative volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Rayliant Quantitative evaluates traded price structure, volume, and spread stability relative to NAV behavior. Trend persistence provides context for directional stability. Certain defensive traits may reduce sensitivity to broader macroeconomic fluctuations.
Unless otherwise specified, data for Rayliant Quantitative Developed is compiled from fund disclosures and market reference feeds and standardized for comparability. Updates may occur throughout the day.
This content is curated and reviewed by:
Ellen Johnson - Member of Macroaxis Editorial BoardRayliant Quantitative Technical Indicators
A technical review of Rayliant Quantitative Developed can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| 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 | 0.2778 | |||
| Mean Deviation | 0.6758 | |||
| Coefficient Of Variation | -1,417 | |||
| Standard Deviation | 0.8375 | |||
| Variance | 0.7013 | |||
| Information Ratio | -0.0014 | |||
| Jensen Alpha | -0.09 | |||
| Total Risk Alpha | 3.0E-4 | |||
| Treynor Ratio | 0.2678 | |||
| Maximum Drawdown | 4.18 | |||
| Value At Risk | -1.49 | |||
| Potential Upside | 1.13 | |||
| Skewness | -0.03 | |||
| Kurtosis | -0.19 |
March 24, 2026 Daily Trend Indicators
A technical review of Rayliant Quantitative Developed can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | -1.22 | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 32.00 | ||
| Day Typical Price | 31.93 | ||
| Price Action Indicator | -0.46 | ||
| Market Facilitation Index | 0.41 |
For portfolio construction context, review Your Equity Center. Allocation decisions are shaped by the composition and weighting of holdings. Rayliant Quantitative Developed can be tracked within a custom portfolio for ongoing monitoring. Portfolio construction methods define how positions are sized relative to each other. Broader economic conditions can influence Rayliant Quantitative Developed's etf valuation — related indicators include signals in small area income & poverty estimates.This analysis of Rayliant Quantitative works best as a complementary layer when evaluating how the security fits in a broader portfolio. Rayliant Quantitative analysis across multiple dimensions - risk, valuation, diversification - produces a more informed position-sizing decision. You can also try the Pattern Recognition module to use different Pattern Recognition models to identify potential trend changes across multiple global exchanges.
Other Consideration for investing in Rayliant Etf
Rayliant Quantitative is no longer listed on a major exchange and may trade through OTC venues. Delisted securities typically carry elevated liquidity and reporting risk.
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