Federated Short Term Income Fund Momentum Indicators Commodity Channel Index

FTIAX Fund  USD 8.47  0.01  0.12%   
Federated Short-term momentum indicators tool provides the execution environment for running the Commodity Channel Index indicator and other technical functions against Federated Short-term. Federated Short-term value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of momentum indicators indicators. As with most other technical indicators, the Commodity Channel Index indicator function is designed to identify and follow existing trends. Momentum indicators of Federated Short-term are pattern recognition functions that provide distinct formation on Federated Short-term potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Time Period to run this model.

The output start index for this execution was two with a total number of output elements of fifty-nine. The Commodity Channel Index (CCI) is designed to detect Federated Short-term beginning and ending market trends using 100 to -100 scale. CCI values outside of this range indicate overbought or oversold conditions. If the price of Federated Short Term is making new highs, and the CCI is not, then a price correction is likely to happen soon.

Federated Short-term Technical Analysis Modules

Most technical analysis of Federated Short-term 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.

About Federated Short-term 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 Term Income. We use our internally-developed statistical techniques to arrive at the intrinsic value of Federated Short Term Income 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-term'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-term's intrinsic value. In addition to deriving basic predictive indicators for Federated Short-term, we also check how macroeconomic factors affect Federated Short-term price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
8.348.478.60
Details
Intrinsic
Valuation
LowRealHigh
7.677.809.32
Details
Naive
Forecast
LowNextHigh
8.338.468.59
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
8.478.478.47
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Federated Short-term. Your research has to be compared to or analyzed against Federated Short-term's peers to derive any actionable benefits. When done correctly, Federated Short-term's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Federated Short Term.

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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.

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Fundamental Analysis

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Federated Short Term pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Federated Short-term position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Federated Short-term will appreciate offsetting losses from the drop in the long position's value.

Federated Short-term Pair Trading

Federated Short Term Income Pair Trading Analysis

The ability to find closely correlated positions to Federated Short-term could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Federated Short-term when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Federated Short-term - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Federated Short Term Income to buy it.
The correlation of Federated Short-term is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Federated Short-term moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Federated Short Term moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Federated Short-term can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Federated Mutual Fund

Federated Short-term 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-term security.
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