HSBC MSCI (Switzerland) Statistic Functions Linear Regression

HIDR Etf  USD 60.17  1.59  2.71%   
HSBC MSCI statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against HSBC MSCI. HSBC MSCI 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. HSBC MSCI 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 fourty-nine with a total number of output elements of twelve. The Linear Regression model generates relationship between price series of HSBC MSCI Indonesia and its peer or benchmark and helps predict HSBC MSCI future price from its past values.
JavaScript chart by amCharts 3.21.15FebMarAprMar 17Mar 24Mar 31AprApr 14Apr 215354555657585960 5001K1.5K2K2.5K3K3.5K4K4.5K5K 55.355.455.555.655.755.855.956.056.156.256.356.456.5 38K38.5K39K39.5K40K40.5K41K41.5K42K42.5K Show all
JavaScript chart by amCharts 3.21.15HSBC MSCI Indonesia Volume HSBC MSCI Indonesia Closing Prices Dow Jones Industrial Closing Prices - Benchmark HSBC MSCI Indonesia Linear Regression

HSBC MSCI Technical Analysis Modules

Most technical analysis of HSBC MSCI 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 HSBC from various momentum indicators to cycle indicators. When you analyze HSBC 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 HSBC MSCI 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 HSBC MSCI Indonesia. We use our internally-developed statistical techniques to arrive at the intrinsic value of HSBC MSCI Indonesia based on widely used predictive technical indicators. In general, we focus on analyzing HSBC Etf price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build HSBC MSCI'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 HSBC MSCI's intrinsic value. In addition to deriving basic predictive indicators for HSBC MSCI, we also check how macroeconomic factors affect HSBC MSCI price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
58.0460.1762.30
Details
Intrinsic
Valuation
LowRealHigh
53.2155.3466.19
Details
Naive
Forecast
LowNextHigh
58.5360.6562.78
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
53.8459.2364.62
Details

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Other Information on Investing in HSBC Etf

HSBC MSCI financial ratios help investors to determine whether HSBC Etf 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 HSBC with respect to the benefits of owning HSBC MSCI security.