Proshares Short Dow30 Etf Market Value
| DOG Etf | USD 23.03 0.10 0.44% |
| Symbol | ProShares |
Investors evaluate ProShares Short Dow30 using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating ProShares Short's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause ProShares Short's market price to deviate significantly from intrinsic value.
It's important to distinguish between ProShares Short's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding ProShares Short should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, ProShares Short's market price signifies the transaction level at which participants voluntarily complete trades.
ProShares Short '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 ProShares Short'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 ProShares Short.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in ProShares Short on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding ProShares Short Dow30 or generate 0.0% return on investment in ProShares Short over 90 days. ProShares Short is related to or competes with ProShares Short, Direxion Daily, Direxion Daily, Direxion Daily, ClearShares Ultra, VictoryShares Multi, and ProShares UltraShort. The fund invests in financial instruments that ProShare Advisors believes, in combination, should produce daily returns ... More
ProShares Short 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 ProShares Short'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 ProShares Short Dow30 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 3.04 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.16 |
ProShares Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares Short's standard deviation. In reality, there are many statistical measures that can use ProShares Short historical prices to predict the future ProShares Short's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | 0.0026 | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | 0.0404 |
ProShares Short February 4, 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 | (0.03) | |||
| Market Risk Adjusted Performance | 0.0504 | |||
| Mean Deviation | 0.5976 | |||
| Coefficient Of Variation | (2,431) | |||
| Standard Deviation | 0.7276 | |||
| Variance | 0.5294 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | 0.0026 | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | 0.0404 | |||
| Maximum Drawdown | 3.04 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.16 | |||
| Skewness | 0.1641 | |||
| Kurtosis | (0.58) |
ProShares Short Dow30 Backtested Returns
ProShares Short Dow30 maintains Sharpe Ratio (i.e., Efficiency) of -0.0811, which implies the entity had a -0.0811 % return per unit of risk over the last 3 months. ProShares Short Dow30 exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check ProShares Short's Coefficient Of Variation of (2,431), risk adjusted performance of (0.03), and Variance of 0.5294 to confirm the risk estimate we provide. The etf holds a Beta of -0.99, which implies possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning ProShares Short are expected to decrease slowly. On the other hand, during market turmoil, ProShares Short is expected to outperform it slightly.
Auto-correlation | -0.16 |
Insignificant reverse predictability
ProShares Short Dow30 has insignificant reverse predictability. Overlapping area represents the amount of predictability between ProShares Short time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 ProShares Short Dow30 price movement. The serial correlation of -0.16 indicates that over 16.0% of current ProShares Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
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Check out ProShares Short Correlation, ProShares Short Volatility and ProShares Short Performance module to complement your research on ProShares Short. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
ProShares Short 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.