Qs Global Equity Fund Statistic Functions Linear Regression Intercept

SMYIX Fund  USD 25.69  0.03  0.12%   
Qs Global statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Qs Global. Qs Global 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. Qs Global 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 six with a total number of output elements of fifty-five. The Linear Regression Intercept is the expected mean value of Qs Global Equity price seriese where values of its benchmark or peer price series are zero.

Qs Global Technical Analysis Modules

Most technical analysis of Qs Global 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 SMYIX from various momentum indicators to cycle indicators. When you analyze SMYIX 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 Qs Global 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 Qs Global Equity. We use our internally-developed statistical techniques to arrive at the intrinsic value of Qs Global Equity based on widely used predictive technical indicators. In general, we focus on analyzing SMYIX Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Qs Global'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 Qs Global's intrinsic value. In addition to deriving basic predictive indicators for Qs Global, we also check how macroeconomic factors affect Qs Global price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
23.9725.7327.49
Details
Intrinsic
Valuation
LowRealHigh
23.4425.2026.96
Details
Naive
Forecast
LowNextHigh
24.1025.8527.61
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
25.6225.8726.12
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 Qs Global 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, Qs Global's short interest history, or implied volatility extrapolated from Qs Global options trading.

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Other Information on Investing in SMYIX Mutual Fund

Qs Global financial ratios help investors to determine whether SMYIX 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 SMYIX with respect to the benefits of owning Qs Global security.
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