Proshares Big Data Etf Technical Analysis
| DAT Etf | USD 41.51 0.33 0.79% |
As of the 28th of January, ProShares Big holds the Coefficient Of Variation of (696.43), variance of 2.19, and Risk Adjusted Performance of (0.10). ProShares Big Data 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.
ProShares Big Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ProShares, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ProSharesProShares | Build AI portfolio with ProShares Etf |
The market value of ProShares Big Data is measured differently than its book value, which is the value of ProShares that is recorded on the company's balance sheet. Investors also form their own opinion of ProShares Big's value that differs from its market value or its book value, called intrinsic value, which is ProShares Big's true underlying value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Because ProShares Big's market value can be influenced by many factors that don't directly affect ProShares Big's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between ProShares Big's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding ProShares Big should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, ProShares Big's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
ProShares Big '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 Big'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 Big.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in ProShares Big on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding ProShares Big Data or generate 0.0% return on investment in ProShares Big over 90 days. ProShares Big is related to or competes with ProShares Ultra, PGIM Nasdaq, ProShares, ProShares Ultra, JPMorgan Fundamental, IShares ESG, and JPMorgan Fundamental. The fund invests in financial instruments that ProShare Advisors believes, in combination, should track the performance ... More
ProShares Big 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 Big'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 Big Data upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 5.92 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 2.0 |
ProShares Big Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares Big's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares Big's standard deviation. In reality, there are many statistical measures that can use ProShares Big historical prices to predict the future ProShares Big's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.35) | |||
| Treynor Ratio | (0.26) |
ProShares Big January 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 | (0.10) | |||
| Market Risk Adjusted Performance | (0.25) | |||
| Mean Deviation | 1.19 | |||
| Coefficient Of Variation | (696.43) | |||
| Standard Deviation | 1.48 | |||
| Variance | 2.19 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.35) | |||
| Treynor Ratio | (0.26) | |||
| Maximum Drawdown | 5.92 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 2.0 | |||
| Skewness | 0.0528 | |||
| Kurtosis | (0.45) |
ProShares Big Data Backtested Returns
ProShares Big Data maintains Sharpe Ratio (i.e., Efficiency) of -0.14, which implies the entity had a -0.14 % return per unit of risk over the last 3 months. ProShares Big Data exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check ProShares Big's Variance of 2.19, risk adjusted performance of (0.10), and Coefficient Of Variation of (696.43) to confirm the risk estimate we provide. The etf holds a Beta of 0.86, which implies possible diversification benefits within a given portfolio. ProShares Big returns are very sensitive to returns on the market. As the market goes up or down, ProShares Big is expected to follow.
Auto-correlation | 0.06 |
Virtually no predictability
ProShares Big Data has virtually no predictability. Overlapping area represents the amount of predictability between ProShares Big time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th of January 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 Big Data price movement. The serial correlation of 0.06 indicates that barely 6.0% of current ProShares Big price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 2.6 |
ProShares Big 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.
ProShares Big Data Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 ProShares Big Data volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About ProShares Big 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 ProShares Big Data 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 ProShares Big Data based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on ProShares Big Data price pattern first instead of the macroeconomic environment surrounding ProShares Big Data. By analyzing ProShares Big'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 ProShares Big'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 ProShares Big specific price patterns or momentum indicators. Please read more on our technical analysis page.
ProShares Big January 28, 2026 Technical Indicators
Most technical analysis of ProShares 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 ProShares from various momentum indicators to cycle indicators. When you analyze ProShares 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 | (0.10) | |||
| Market Risk Adjusted Performance | (0.25) | |||
| Mean Deviation | 1.19 | |||
| Coefficient Of Variation | (696.43) | |||
| Standard Deviation | 1.48 | |||
| Variance | 2.19 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.35) | |||
| Treynor Ratio | (0.26) | |||
| Maximum Drawdown | 5.92 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 2.0 | |||
| Skewness | 0.0528 | |||
| Kurtosis | (0.45) |
ProShares Big Data One Year Return
Based on the recorded statements, ProShares Big Data has an One Year Return of -6.6%. This is 61.13% lower than that of the ProShares family and significantly lower than that of the Technology category. The one year return for all United States etfs is notably higher than that of the company.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.ProShares Big January 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 ProShares 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 | 5.70 | ||
| Daily Balance Of Power | (1.00) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 41.68 | ||
| Day Typical Price | 41.62 | ||
| Price Action Indicator | (0.33) | ||
| Market Facilitation Index | 0.0005 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in ProShares Big Data. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
The market value of ProShares Big Data is measured differently than its book value, which is the value of ProShares that is recorded on the company's balance sheet. Investors also form their own opinion of ProShares Big's value that differs from its market value or its book value, called intrinsic value, which is ProShares Big's true underlying value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Because ProShares Big's market value can be influenced by many factors that don't directly affect ProShares Big's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between ProShares Big's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding ProShares Big should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, ProShares Big's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.