Pacer Benchmark Data Etf Technical Analysis
| SRVR Etf | USD 31.08 -1.01 -3.15% |
As of the 22nd of March, Pacer Benchmark reports 31.08 per share in the latest quote. Technical drivers report Semi Deviation of 1.1, risk adjusted performance of 0.0926, and Coefficient Of Variation of 894.2. Price momentum and volatility relationships form the basis of the analysis. Cross-sectional analysis places indicator values in market context.
Pacer Benchmark Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Pacer, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PacerPacer Benchmark's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Pacer Benchmark Data can be assessed through both market valuation and accounting book value, which often tell different stories. Estimated intrinsic value for Pacer Benchmark draws on fundamentals that market price alone does not fully capture. Each measure contributes a different layer to the overall valuation framework. The data shown is informational and should not be interpreted as guidance.
Value and price for Pacer Benchmark are related but not identical, and they can diverge across cycles. Context can include financial performance, operating efficiency, market trends, and peer comparisons. The quoted Pacer Benchmark price is the exchange level where supply meets demand.
What if' Analysis
Running a what-if backtest on Pacer Benchmark Data gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. The real value is perspective: it shows whether the thesis would have remained investable across different historical windows or depended too heavily on one favorable stretch.
| 12/22/2025 |
| 03/22/2026 |
Starting with 0.00 in Pacer Benchmark on December 22, 2025 and exiting today would earn 0.00 in cumulative return. This reflects a 0.0% cumulative return in Pacer Benchmark on balance across 90 days. Comparable ETF peers for Pacer Benchmark include JPMorgan Realty, Nuveen ESG, EA Series, Goldman Sachs, First Trust, InfraCap MLP, and Dimensional ETF. The comparison helps frame competitive context. Peer classification reflects similarities in sector, size, or operational focus. This information is provided for contextual purposes. The index is generally composed of equity securities of developed markets companies that derive at least 85 percent of t... More
Pacer Benchmark Momentum Range Indicators Snapshot
Directional momentum for Pacer Benchmark is captured through indicators that track upside and downside price ranges. The data frames how the price has moved within recent directional ranges. The dataset reflects price and volume inputs from market records. All metrics are derived from available inputs and shown for reference.
| Downside Deviation | 1.33 | |||
| Information Ratio | 0.1899 | |||
| Maximum Drawdown | 5.74 | |||
| Value At Risk | -1.80 | |||
| Potential Upside | 1.46 |
Pacer Benchmark Market Risk Indicators Overview
These indicators track Pacer Benchmark's volatility and return range dynamics. This view provides neutral context for risk and variability. All metrics are computed from historical trading data across available periods.| Risk Adjusted Performance | 0.0926 | |||
| Jensen Alpha | 0.1884 | |||
| Total Risk Alpha | 0.2553 | |||
| Sortino Ratio | 0.162 | |||
| Treynor Ratio | 0.1595 |
Valuation-driven investors use mean reversion to time Pacer Benchmark's investments: buying when it trades materially below its historical average valuation multiples and selling when it reaches premium territory.
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 | 0.0926 | |||
| Market Risk Adjusted Performance | 0.1695 | |||
| Mean Deviation | 0.8323 | |||
| Semi Deviation | 1.1 | |||
| Downside Deviation | 1.33 | |||
| Coefficient Of Variation | 894.2 | |||
| Standard Deviation | 1.13 | |||
| Variance | 1.28 | |||
| Information Ratio | 0.1899 | |||
| Jensen Alpha | 0.1884 | |||
| Total Risk Alpha | 0.2553 | |||
| Sortino Ratio | 0.162 | |||
| Treynor Ratio | 0.1595 | |||
| Maximum Drawdown | 5.74 | |||
| Value At Risk | -1.80 | |||
| Potential Upside | 1.46 | |||
| Downside Variance | 1.76 | |||
| Semi Variance | 1.2 | |||
| Expected Short fall | -0.81 | |||
| Skewness | -0.12 | |||
| Kurtosis | 1.43 |
Pacer Benchmark Data Backtested Returns
Pacer Benchmark suggests a very low volatility profile over the observed timeframe. It exhibits a Sharpe Ratio (Efficiency) of 0.14, highlighting adjusted efficiency metrics. We identified thirty technical indicators influencing the company's volatility profile. Please assess metrics such as Semi Deviation of 1.1, risk-adjusted performance of 0.0926, and Coefficient Of Variation of 894.2 to evaluate statistical risk alignment. The etf holds a Beta (Market Risk) of 0.73, which means generally lower market sensitivity than the broad market. With a sub-1 beta, Pacer Benchmark typically participates in market rallies at a reduced pace while often limiting downside exposure.
Auto-correlation | 0.30 |
Below average predictability
Comparing Pacer Benchmark's price behavior from 22nd of December 2025 to 5th of February 2026 with the period from 5th of February 2026 to 22nd of March 2026 produces below average predictability. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Pacer Benchmark Data may be projected. The coefficient of 0.3 links nearly 30.0% of Pacer Benchmark's present price action to its own historical movements.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.61 |
This section evaluates Pacer Benchmark through observed price and volume patterns. Key inputs include moving averages and strength indicators. The dataset summarizes historical market behavior.
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 Pacer Benchmark Data volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Pacer Benchmark evaluates traded price structure, volume, and spread stability relative to NAV behavior. Signal reliability can vary across market regimes and liquidity conditions.
For Pacer Benchmark Data, 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:
Ellen Johnson - Member of Macroaxis Editorial BoardPacer Benchmark Technical Indicators
Technical indicators tied to Pacer Benchmark Data help investors translate chart behavior into a more structured framework for entry, exit, and risk control. 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 | 0.0926 | |||
| Market Risk Adjusted Performance | 0.1695 | |||
| Mean Deviation | 0.8323 | |||
| Semi Deviation | 1.1 | |||
| Downside Deviation | 1.33 | |||
| Coefficient Of Variation | 894.2 | |||
| Standard Deviation | 1.13 | |||
| Variance | 1.28 | |||
| Information Ratio | 0.1899 | |||
| Jensen Alpha | 0.1884 | |||
| Total Risk Alpha | 0.2553 | |||
| Sortino Ratio | 0.162 | |||
| Treynor Ratio | 0.1595 | |||
| Maximum Drawdown | 5.74 | |||
| Value At Risk | -1.80 | |||
| Potential Upside | 1.46 | |||
| Downside Variance | 1.76 | |||
| Semi Variance | 1.2 | |||
| Expected Short fall | -0.81 | |||
| Skewness | -0.12 | |||
| Kurtosis | 1.43 |
March 22, 2026 Daily Trend Indicators
Technical indicators tied to Pacer Benchmark Data help investors translate chart behavior into a more structured framework for entry, exit, and risk control. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| Accumulation Distribution | 0.03 | ||
| Daily Balance Of Power | -0.98 | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 31.49 | ||
| Day Typical Price | 31.36 | ||
| Price Action Indicator | -0.92 | ||
| Market Facilitation Index | 1.03 |
More Resources for Pacer Etf Analysis
A structured review of Pacer Benchmark Data begins with its financial statements and overall trends. Financial ratios summarize performance across earnings and efficiency. The dataset reflects Pacer Benchmark's reporting across available periods.Use World Market Map to explore diversified allocation structure. Allocation context can improve visibility into portfolio balance. The construction of a diversified portfolio involves managing position exposure. The content reflects structured data inputs rather than subjective analysis. This captures an allocation to Pacer Benchmark Data. It is represented within the portfolio holdings. The allocation framework shapes how individual positions are weighted. All values are presented as reference data. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in manufacturing. Pacer Benchmark analysis should be read alongside other portfolio and risk tools before reallocating capital. Pacer Benchmark peer comparison and risk tools below help frame relative strengths and weaknesses. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Pacer Benchmark Data can be assessed through both market valuation and accounting book value, which often tell different stories. Estimated intrinsic value for Pacer Benchmark draws on fundamentals that market price alone does not fully capture. Each measure contributes a different layer to the overall valuation framework. The data shown is informational and should not be interpreted as guidance.
Value and price for Pacer Benchmark are related but not identical, and they can diverge across cycles. Context can include financial performance, operating efficiency, market trends, and peer comparisons. The quoted Pacer Benchmark price is the exchange level where supply meets demand.