Putnam Dynamic Asset Fund Technical Analysis
| PACAX Fund | USD 10.99 0.03 0.27% |
As of the 26th of November, Putnam Dynamic holds the Coefficient Of Variation of 1906.65, semi deviation of 0.259, and Risk Adjusted Performance of 0.0246. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Putnam Dynamic, as well as the relationship between them.
Putnam Dynamic Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Putnam, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PutnamPutnam |
Putnam Dynamic 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.
Putnam Dynamic Asset 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 Putnam Dynamic Asset volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Putnam Dynamic Asset Trend Analysis
Use this graph to draw trend lines for Putnam Dynamic Asset. You can use it to identify possible trend reversals for Putnam Dynamic 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 Putnam Dynamic price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Putnam Dynamic Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Putnam Dynamic Asset applied against its price change over selected period. The best fit line has a slop of 0.0009 , which may suggest that Putnam Dynamic Asset market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.03, which is the sum of squared deviations for the predicted Putnam Dynamic price change compared to its average price change.About Putnam Dynamic 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 Putnam Dynamic Asset 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 Putnam Dynamic Asset based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Putnam Dynamic Asset price pattern first instead of the macroeconomic environment surrounding Putnam Dynamic Asset. By analyzing Putnam Dynamic'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 Putnam Dynamic'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 Putnam Dynamic specific price patterns or momentum indicators. Please read more on our technical analysis page.
Putnam Dynamic November 26, 2024 Technical Indicators
Most technical analysis of Putnam 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 Putnam from various momentum indicators to cycle indicators. When you analyze Putnam 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 | 0.0246 | |||
| Market Risk Adjusted Performance | 0.034 | |||
| Mean Deviation | 0.2315 | |||
| Semi Deviation | 0.259 | |||
| Downside Deviation | 0.3434 | |||
| Coefficient Of Variation | 1906.65 | |||
| Standard Deviation | 0.299 | |||
| Variance | 0.0894 | |||
| Information Ratio | (0.38) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.34) | |||
| Treynor Ratio | 0.024 | |||
| Maximum Drawdown | 1.38 | |||
| Value At Risk | (0.55) | |||
| Potential Upside | 0.5435 | |||
| Downside Variance | 0.1179 | |||
| Semi Variance | 0.0671 | |||
| Expected Short fall | (0.26) | |||
| Skewness | (0.11) | |||
| Kurtosis | 0.1045 |
Putnam Dynamic Asset One Year Return
Based on the recorded statements, Putnam Dynamic Asset has an One Year Return of 15.9264%. This indicator is about the same for the Putnam average (which is currently at 16.11) family and significantly higher than that of the Allocation--15% to 30% Equity category. The one year return for all United States funds 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.Other Information on Investing in Putnam Mutual Fund
Putnam Dynamic financial ratios help investors to determine whether Putnam 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 Putnam with respect to the benefits of owning Putnam Dynamic security.
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