Ipath Bloomberg Commodity Etf Technical Analysis
| DJP Etf | USD 41.00 0.31 0.76% |
As of the 8th of February, IPath Bloomberg retains the Risk Adjusted Performance of 0.1036, market risk adjusted performance of 0.652, and Downside Deviation of 1.63. IPath Bloomberg technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
IPath Bloomberg Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as IPath, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to IPathIPath Bloomberg'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.Understanding iPath Bloomberg Commodity requires distinguishing between market price and book value, where the latter reflects IPath's accounting equity. The concept of intrinsic value - what IPath Bloomberg's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push IPath Bloomberg's price substantially above or below its fundamental value.
It's important to distinguish between IPath Bloomberg's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding IPath Bloomberg should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, IPath Bloomberg's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
IPath Bloomberg '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 IPath Bloomberg'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 IPath Bloomberg.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in IPath Bloomberg on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding iPath Bloomberg Commodity or generate 0.0% return on investment in IPath Bloomberg over 90 days. IPath Bloomberg is related to or competes with IShares GSCI, Innovator, Harbor All, FlexShares Quality, IShares North, John Hancock, and Direxion Daily. The Dow Jones-UBS Commodity Index Total ReturnService Mark reflects the returns that are potentially available through a... More
IPath Bloomberg 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 IPath Bloomberg'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 iPath Bloomberg Commodity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.63 | |||
| Information Ratio | 0.0583 | |||
| Maximum Drawdown | 7.84 | |||
| Value At Risk | (1.83) | |||
| Potential Upside | 2.03 |
IPath Bloomberg Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IPath Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IPath Bloomberg's standard deviation. In reality, there are many statistical measures that can use IPath Bloomberg historical prices to predict the future IPath Bloomberg's volatility.| Risk Adjusted Performance | 0.1036 | |||
| Jensen Alpha | 0.1402 | |||
| Total Risk Alpha | 0.0238 | |||
| Sortino Ratio | 0.0492 | |||
| Treynor Ratio | 0.642 |
IPath Bloomberg February 8, 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 | 0.1036 | |||
| Market Risk Adjusted Performance | 0.652 | |||
| Mean Deviation | 1.01 | |||
| Semi Deviation | 1.43 | |||
| Downside Deviation | 1.63 | |||
| Coefficient Of Variation | 810.62 | |||
| Standard Deviation | 1.38 | |||
| Variance | 1.9 | |||
| Information Ratio | 0.0583 | |||
| Jensen Alpha | 0.1402 | |||
| Total Risk Alpha | 0.0238 | |||
| Sortino Ratio | 0.0492 | |||
| Treynor Ratio | 0.642 | |||
| Maximum Drawdown | 7.84 | |||
| Value At Risk | (1.83) | |||
| Potential Upside | 2.03 | |||
| Downside Variance | 2.67 | |||
| Semi Variance | 2.05 | |||
| Expected Short fall | (1.04) | |||
| Skewness | (1.29) | |||
| Kurtosis | 4.06 |
iPath Bloomberg Commodity Backtested Returns
Currently, iPath Bloomberg Commodity is very steady. iPath Bloomberg Commodity holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iPath Bloomberg Commodity, which you can use to evaluate the volatility of the entity. Please check out IPath Bloomberg's Downside Deviation of 1.63, market risk adjusted performance of 0.652, and Risk Adjusted Performance of 0.1036 to validate if the risk estimate we provide is consistent with the expected return of 0.17%. The etf retains a Market Volatility (i.e., Beta) of 0.25, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IPath Bloomberg's returns are expected to increase less than the market. However, during the bear market, the loss of holding IPath Bloomberg is expected to be smaller as well.
Auto-correlation | 0.37 |
Below average predictability
iPath Bloomberg Commodity has below average predictability. Overlapping area represents the amount of predictability between IPath Bloomberg time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th 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 iPath Bloomberg Commodity price movement. The serial correlation of 0.37 indicates that just about 37.0% of current IPath Bloomberg price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 2.78 |
IPath Bloomberg 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.
iPath Bloomberg Commodity 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 iPath Bloomberg Commodity volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About IPath Bloomberg 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 iPath Bloomberg Commodity 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 iPath Bloomberg Commodity based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on iPath Bloomberg Commodity price pattern first instead of the macroeconomic environment surrounding iPath Bloomberg Commodity. By analyzing IPath Bloomberg'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 IPath Bloomberg'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 IPath Bloomberg specific price patterns or momentum indicators. Please read more on our technical analysis page.
IPath Bloomberg February 8, 2026 Technical Indicators
Most technical analysis of IPath 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 IPath from various momentum indicators to cycle indicators. When you analyze IPath 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 | 0.1036 | |||
| Market Risk Adjusted Performance | 0.652 | |||
| Mean Deviation | 1.01 | |||
| Semi Deviation | 1.43 | |||
| Downside Deviation | 1.63 | |||
| Coefficient Of Variation | 810.62 | |||
| Standard Deviation | 1.38 | |||
| Variance | 1.9 | |||
| Information Ratio | 0.0583 | |||
| Jensen Alpha | 0.1402 | |||
| Total Risk Alpha | 0.0238 | |||
| Sortino Ratio | 0.0492 | |||
| Treynor Ratio | 0.642 | |||
| Maximum Drawdown | 7.84 | |||
| Value At Risk | (1.83) | |||
| Potential Upside | 2.03 | |||
| Downside Variance | 2.67 | |||
| Semi Variance | 2.05 | |||
| Expected Short fall | (1.04) | |||
| Skewness | (1.29) | |||
| Kurtosis | 4.06 |
IPath Bloomberg February 8, 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 IPath 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 | 0.01 | ||
| Daily Balance Of Power | 0.62 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 41.13 | ||
| Day Typical Price | 41.09 | ||
| Price Action Indicator | 0.02 | ||
| Market Facilitation Index | 0.50 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in iPath Bloomberg Commodity. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Understanding iPath Bloomberg Commodity requires distinguishing between market price and book value, where the latter reflects IPath's accounting equity. The concept of intrinsic value - what IPath Bloomberg's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push IPath Bloomberg's price substantially above or below its fundamental value.
It's important to distinguish between IPath Bloomberg's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding IPath Bloomberg should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, IPath Bloomberg's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.