Federated Short Term Income Fund Statistic Functions Linear Regression Intercept

FSTYX Fund  USD 8.50  0.01  0.12%   
Federated Short statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Federated Short. Federated Short 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 statistic functions indicators. As with most other technical indicators, the Linear Regression Intercept function function is designed to identify and follow existing trends. Federated Short statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Function
Time Period
Execute Function
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Linear Regression Intercept is the expected mean value of Federated Short Term price seriese where values of its benchmark or peer price series are zero.

Federated Short Technical Analysis Modules

Most technical analysis of Federated Short 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 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's daily price indicators and compare them against related drivers, such as statistic functions 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's intrinsic value. In addition to deriving basic predictive indicators for Federated Short, we also check how macroeconomic factors affect Federated Short price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Federated Short's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
8.388.508.62
Details
Intrinsic
Valuation
LowRealHigh
8.218.339.35
Details
Naive
Forecast
LowNextHigh
8.398.518.63
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
8.478.498.52
Details

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Other Information on Investing in Federated Mutual Fund

Federated Short 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 security.
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