Calvert Balanced Portfolio Fund Statistic Functions Linear Regression

CSGCX Fund  USD 45.05  0.09  0.20%   
Calvert Balanced statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Calvert Balanced. Calvert Balanced 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 function function is designed to identify and follow existing trends. Calvert Balanced 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.

Execute Function
The output start index for this execution was fifty-nine with a total number of output elements of two. The Linear Regression model generates relationship between price series of Calvert Balanced Por and its peer or benchmark and helps predict Calvert Balanced future price from its past values.

Calvert Balanced Technical Analysis Modules

Most technical analysis of Calvert Balanced 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 Calvert from various momentum indicators to cycle indicators. When you analyze Calvert 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 Calvert Balanced 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 Calvert Balanced Portfolio. We use our internally-developed statistical techniques to arrive at the intrinsic value of Calvert Balanced Portfolio based on widely used predictive technical indicators. In general, we focus on analyzing Calvert Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Calvert Balanced'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 Calvert Balanced's intrinsic value. In addition to deriving basic predictive indicators for Calvert Balanced, we also check how macroeconomic factors affect Calvert Balanced 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 Calvert Balanced'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
44.5745.0545.53
Details
Intrinsic
Valuation
LowRealHigh
44.4144.8945.37
Details
Naive
Forecast
LowNextHigh
44.6545.1345.62
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
43.3844.5045.63
Details

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Other Information on Investing in Calvert Mutual Fund

Calvert Balanced financial ratios help investors to determine whether Calvert 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 Calvert with respect to the benefits of owning Calvert Balanced security.
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