Ipath Series B Etf Technical Analysis
| GRN Etf | USD 31.90 0.82 2.51% |
As of the 1st of February, IPath Series retains the Standard Deviation of 1.55, insignificant risk adjusted performance, and Market Risk Adjusted Performance of (0.23). IPath Series 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 Series 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 Series' 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 Series B requires distinguishing between market price and book value, where the latter reflects IPath's accounting equity. The concept of intrinsic value—what IPath Series' is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push IPath Series' price substantially above or below its fundamental value.
Please note, there is a significant difference between IPath Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if IPath Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, IPath Series' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
IPath Series '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 Series' 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 Series.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in IPath Series on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding iPath Series B or generate 0.0% return on investment in IPath Series over 90 days. IPath Series is related to or competes with Fidelity Real, Putnam ETF, Virtus Real, Advisors Inner, First Trust, First Trust, and Direxion Daily. The index has the objective of providing exposure to the price of carbon as measured by the return of futures contracts ... More
IPath Series 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 Series' 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 Series B upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 10.02 | |||
| Value At Risk | (2.51) | |||
| Potential Upside | 1.75 |
IPath Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IPath Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IPath Series' standard deviation. In reality, there are many statistical measures that can use IPath Series historical prices to predict the future IPath Series' volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | (0.24) |
IPath Series February 1, 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) | |||
| Market Risk Adjusted Performance | (0.23) | |||
| Mean Deviation | 1.04 | |||
| Coefficient Of Variation | (7,979) | |||
| Standard Deviation | 1.55 | |||
| Variance | 2.4 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | (0.24) | |||
| Maximum Drawdown | 10.02 | |||
| Value At Risk | (2.51) | |||
| Potential Upside | 1.75 | |||
| Skewness | (2.14) | |||
| Kurtosis | 10.41 |
iPath Series B Backtested Returns
iPath Series B holds Efficiency (Sharpe) Ratio of -0.0125, which attests that the entity had a -0.0125 % return per unit of risk over the last 3 months. iPath Series B exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IPath Series' Standard Deviation of 1.55, insignificant risk adjusted performance, and Market Risk Adjusted Performance of (0.23) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.12, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IPath Series' returns are expected to increase less than the market. However, during the bear market, the loss of holding IPath Series is expected to be smaller as well.
Auto-correlation | -0.4 |
Poor reverse predictability
iPath Series B has poor reverse predictability. Overlapping area represents the amount of predictability between IPath Series time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st 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 Series B price movement. The serial correlation of -0.4 indicates that just about 40.0% of current IPath Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.96 |
IPath Series 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 Series B 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 iPath Series B volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About IPath Series 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 Series B 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 Series B based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on iPath Series B price pattern first instead of the macroeconomic environment surrounding iPath Series B. By analyzing IPath Series'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 Series'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 Series specific price patterns or momentum indicators. Please read more on our technical analysis page.
IPath Series February 1, 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) | |||
| Market Risk Adjusted Performance | (0.23) | |||
| Mean Deviation | 1.04 | |||
| Coefficient Of Variation | (7,979) | |||
| Standard Deviation | 1.55 | |||
| Variance | 2.4 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | (0.24) | |||
| Maximum Drawdown | 10.02 | |||
| Value At Risk | (2.51) | |||
| Potential Upside | 1.75 | |||
| Skewness | (2.14) | |||
| Kurtosis | 10.41 |
IPath Series February 1, 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 | (3.57) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 31.80 | ||
| Day Typical Price | 31.83 | ||
| Price Action Indicator | (0.31) | ||
| Market Facilitation Index | 0.23 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in iPath Series B. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in producer price index. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Understanding iPath Series B requires distinguishing between market price and book value, where the latter reflects IPath's accounting equity. The concept of intrinsic value—what IPath Series' is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push IPath Series' price substantially above or below its fundamental value.
Please note, there is a significant difference between IPath Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if IPath Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, IPath Series' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.