Pimco Total Return Fund Statistic Functions Linear Regression

PRAPX Fund  USD 7.60  0.01  0.13%   
Pimco Total statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Pimco Total. Pimco Total 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. Pimco Total 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 thirty-five with a total number of output elements of twenty-six. The Linear Regression model generates relationship between price series of Pimco Total Return and its peer or benchmark and helps predict Pimco Total future price from its past values.

Pimco Total Technical Analysis Modules

Most technical analysis of Pimco Total 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 Pimco from various momentum indicators to cycle indicators. When you analyze Pimco 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 Pimco Total 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 Pimco Total Return. We use our internally-developed statistical techniques to arrive at the intrinsic value of Pimco Total Return based on widely used predictive technical indicators. In general, we focus on analyzing Pimco Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Pimco Total'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 Pimco Total's intrinsic value. In addition to deriving basic predictive indicators for Pimco Total, we also check how macroeconomic factors affect Pimco Total price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
7.257.607.95
Details
Intrinsic
Valuation
LowRealHigh
7.257.607.95
Details
Naive
Forecast
LowNextHigh
7.257.597.94
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
7.457.567.66
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Pimco Total in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Pimco Total's short interest history, or implied volatility extrapolated from Pimco Total options trading.

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Other Information on Investing in Pimco Mutual Fund

Pimco Total financial ratios help investors to determine whether Pimco 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 Pimco with respect to the benefits of owning Pimco Total security.
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