Power Income Fund Technical Analysis
| PWRIX Fund | USD 9.08 0.03 0.33% |
As of the 7th of February, Power Income holds the Standard Deviation of 0.1429, downside deviation of 0.1503, and Risk Adjusted Performance of 0.0463. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Power Income, as well as the relationship between them.
Power Income Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Power, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PowerPower |
Power Income '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 Power Income's mutual fund 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 Power Income.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Power Income on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Power Income Fund or generate 0.0% return on investment in Power Income over 90 days. Power Income is related to or competes with T Rowe, The Hartford, Copeland Smid, Chase Growth, Crafword Dividend, Vanguard Lifestrategy, and Tfa Alphagen. The investment seeks total return from income and capital appreciation with capital preservation as a secondary objectiv... More
Power Income 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 Power Income's mutual fund 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 Power Income Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1503 | |||
| Information Ratio | (0.51) | |||
| Maximum Drawdown | 0.5554 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.2227 |
Power Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Power Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Power Income's standard deviation. In reality, there are many statistical measures that can use Power Income historical prices to predict the future Power Income's volatility.| Risk Adjusted Performance | 0.0463 | |||
| Jensen Alpha | (0.0002) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.49) | |||
| Treynor Ratio | 0.0773 |
Power Income February 7, 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 | 0.0463 | |||
| Market Risk Adjusted Performance | 0.0873 | |||
| Mean Deviation | 0.1123 | |||
| Downside Deviation | 0.1503 | |||
| Coefficient Of Variation | 869.64 | |||
| Standard Deviation | 0.1429 | |||
| Variance | 0.0204 | |||
| Information Ratio | (0.51) | |||
| Jensen Alpha | (0.0002) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.49) | |||
| Treynor Ratio | 0.0773 | |||
| Maximum Drawdown | 0.5554 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.2227 | |||
| Downside Variance | 0.0226 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.18) | |||
| Skewness | 0.3937 | |||
| Kurtosis | (0.36) |
Power Income Backtested Returns
At this stage we consider Power Mutual Fund to be very steady. Power Income maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the entity had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Power Income, which you can use to evaluate the volatility of the fund. Please check Power Income's Risk Adjusted Performance of 0.0463, standard deviation of 0.1429, and Downside Deviation of 0.1503 to confirm if the risk estimate we provide is consistent with the expected return of 0.0164%. The fund holds a Beta of 0.0832, which implies not very significant fluctuations relative to the market. As returns on the market increase, Power Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Power Income is expected to be smaller as well.
Auto-correlation | 0.21 |
Weak predictability
Power Income Fund has weak predictability. Overlapping area represents the amount of predictability between Power Income time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 Power Income price movement. The serial correlation of 0.21 indicates that over 21.0% of current Power Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Power Income technical mutual fund 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, fund market cycles, or different charting patterns.
Power Income Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Power Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Power Income 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 Power Income Fund 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 Power Income Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Power Income price pattern first instead of the macroeconomic environment surrounding Power Income. By analyzing Power Income'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 Power Income'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 Power Income specific price patterns or momentum indicators. Please read more on our technical analysis page.
Power Income February 7, 2026 Technical Indicators
Most technical analysis of Power 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 Power from various momentum indicators to cycle indicators. When you analyze Power 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 | 0.0463 | |||
| Market Risk Adjusted Performance | 0.0873 | |||
| Mean Deviation | 0.1123 | |||
| Downside Deviation | 0.1503 | |||
| Coefficient Of Variation | 869.64 | |||
| Standard Deviation | 0.1429 | |||
| Variance | 0.0204 | |||
| Information Ratio | (0.51) | |||
| Jensen Alpha | (0.0002) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.49) | |||
| Treynor Ratio | 0.0773 | |||
| Maximum Drawdown | 0.5554 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.2227 | |||
| Downside Variance | 0.0226 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.18) | |||
| Skewness | 0.3937 | |||
| Kurtosis | (0.36) |
Power Income February 7, 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 Power 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 9.08 | ||
| Day Typical Price | 9.08 | ||
| Price Action Indicator | 0.01 |
Other Information on Investing in Power Mutual Fund
Power Income financial ratios help investors to determine whether Power Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Power with respect to the benefits of owning Power Income security.
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