Proshares Big Data Etf Technical Analysis
| DAT Etf | USD 43.21 1.88 4.55% |
As of the 25th of March, ProShares Big holds the Coefficient Of Variation of (1,334), variance of 4.19, and Risk Adjusted Performance of (0.06). 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 |
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 one with a total number of output elements of sixty. 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.
ProShares Big Data Trend Analysis
Use this graph to draw trend lines for ProShares Big Data. You can use it to identify possible trend reversals for ProShares Big as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual ProShares Big price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.ProShares Big Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ProShares Big Data applied against its price change over selected period. The best fit line has a slop of 0.07 , which may imply that the returns on investment in ProShares Big Data will continue to fail. It has 122 observation points and a regression sum of squares at 208.5, which is the sum of squared deviations for the predicted ProShares Big price change compared to its average price change.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 March 25, 2025 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 | (0.06) | |||
| Market Risk Adjusted Performance | (1.82) | |||
| Mean Deviation | 1.54 | |||
| Coefficient Of Variation | (1,334) | |||
| Standard Deviation | 2.05 | |||
| Variance | 4.19 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (1.83) | |||
| Maximum Drawdown | 9.52 | |||
| Value At Risk | (3.47) | |||
| Potential Upside | 2.61 | |||
| Skewness | (0.32) | |||
| Kurtosis | 0.9261 |
ProShares Big Data One Year Return
Based on the recorded statements, ProShares Big Data has an One Year Return of 16.2%. This is 195.41% lower than that of the ProShares family and significantly higher than that of the Technology category. The one year return for all United States etfs is notably lower than that of the firm.
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 March 25, 2025 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 | 27.66 | ||
| Daily Balance Of Power | 5.53 | ||
| Rate Of Daily Change | 1.05 | ||
| Day Median Price | 43.33 | ||
| Day Typical Price | 43.29 | ||
| Price Action Indicator | 0.82 |
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 signals in nation. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. 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.
Please note, there is a significant difference between ProShares Big's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Big is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Big's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.