Dynamic Power American Fund Technical Analysis
| 0P000075R6 | 24.65 0.82 3.22% |
Dynamic Power Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dynamic, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DynamicDynamic |
Dynamic Power '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 Dynamic Power's 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 Dynamic Power.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Dynamic Power on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Dynamic Power American or generate 0.0% return on investment in Dynamic Power over 90 days.
Dynamic Power 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 Dynamic Power's 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 Dynamic Power American upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 8.35 | |||
| Value At Risk | (3.44) | |||
| Potential Upside | 2.12 |
Dynamic Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dynamic Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dynamic Power's standard deviation. In reality, there are many statistical measures that can use Dynamic Power historical prices to predict the future Dynamic Power's volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.36) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.56) |
Dynamic Power February 6, 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 | (0.14) | |||
| Market Risk Adjusted Performance | (0.55) | |||
| Mean Deviation | 1.25 | |||
| Coefficient Of Variation | (512.04) | |||
| Standard Deviation | 1.71 | |||
| Variance | 2.91 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.36) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.56) | |||
| Maximum Drawdown | 8.35 | |||
| Value At Risk | (3.44) | |||
| Potential Upside | 2.12 | |||
| Skewness | (0.16) | |||
| Kurtosis | 0.694 |
Dynamic Power American Backtested Returns
Dynamic Power American secures Sharpe Ratio (or Efficiency) of -0.22, which denotes the fund had a -0.22 % return per unit of risk over the last 3 months. Dynamic Power American exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dynamic Power's Standard Deviation of 1.71, variance of 2.91, and Mean Deviation of 1.25 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.62, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dynamic Power's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dynamic Power is expected to be smaller as well.
Auto-correlation | 0.23 |
Weak predictability
Dynamic Power American has weak predictability. Overlapping area represents the amount of predictability between Dynamic Power time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 Dynamic Power American price movement. The serial correlation of 0.23 indicates that over 23.0% of current Dynamic Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 1.51 |
Dynamic Power technical 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.
Dynamic Power American 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 Dynamic Power American volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Dynamic Power February 6, 2026 Technical Indicators
Most technical analysis of Dynamic 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 Dynamic from various momentum indicators to cycle indicators. When you analyze Dynamic 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 | (0.14) | |||
| Market Risk Adjusted Performance | (0.55) | |||
| Mean Deviation | 1.25 | |||
| Coefficient Of Variation | (512.04) | |||
| Standard Deviation | 1.71 | |||
| Variance | 2.91 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.36) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.56) | |||
| Maximum Drawdown | 8.35 | |||
| Value At Risk | (3.44) | |||
| Potential Upside | 2.12 | |||
| Skewness | (0.16) | |||
| Kurtosis | 0.694 |
Dynamic Power February 6, 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 Dynamic 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 | 0.97 | ||
| Day Median Price | 24.65 | ||
| Day Typical Price | 24.65 | ||
| Price Action Indicator | (0.41) |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas |