Federated Short Intermediate Duration Fund Momentum Indicators Williams R percentage
| FSHIX Fund | USD 10.03 0.01 0.1% |
| Symbol |
The output start index for this execution was nine with a total number of output elements of fifty-two. The Williams %R value was developed by Larry Williams and ranges from zero to 100. The values are charted on an inverted scale. Values below 20 indicate an overbought condition for Federated Short-intermedia and a sell signal is generated when it crosses the 20 line. Values over 80 indicate an oversold condition for Federated Short-intermedia and a buy signal is generated when it crosses the 80 line.
Federated Short-intermedia Technical Analysis Modules
Most technical analysis of Federated Short-intermedia 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 Federated from various momentum indicators to cycle indicators. When you analyze Federated charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
About Federated Short-intermedia Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Federated Short Intermediate Duration. We use our internally-developed statistical techniques to arrive at the intrinsic value of Federated Short Intermediate Duration based on widely used predictive technical indicators. In general, we focus on analyzing Federated Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Federated Short-intermedia's daily price indicators and compare them against related drivers, such as momentum indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Federated Short-intermedia's intrinsic value. In addition to deriving basic predictive indicators for Federated Short-intermedia, we also check how macroeconomic factors affect Federated Short-intermedia price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Generate Optimal Portfolios
Align your risk and return expectations
Other Information on Investing in Federated Mutual Fund
Federated Short-intermedia financial ratios help investors to determine whether Federated 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 Federated with respect to the benefits of owning Federated Short-intermedia security.
| Global Correlations Find global opportunities by holding instruments from different markets | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |