SAMS INTERNAT (Germany) Overlap Studies Double Exponential Moving Average

1SO Stock  EUR 2.25  0.06  2.74%   
SAMS INTERNAT overlap studies tool provides the execution environment for running the Double Exponential Moving Average study and other technical functions against SAMS INTERNAT. SAMS INTERNAT 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 overlap studies indicators. As with most other technical indicators, the Double Exponential Moving Average study function is designed to identify and follow existing trends. SAMS INTERNAT overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was four with a total number of output elements of fifty-seven. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to SAMS INTERNAT R changes than the simple moving average.

SAMS INTERNAT Technical Analysis Modules

Most technical analysis of SAMS INTERNAT 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 SAMS from various momentum indicators to cycle indicators. When you analyze SAMS 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 SAMS INTERNAT 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 SAMS INTERNAT R. We use our internally-developed statistical techniques to arrive at the intrinsic value of SAMS INTERNAT R based on widely used predictive technical indicators. In general, we focus on analyzing SAMS Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SAMS INTERNAT's daily price indicators and compare them against related drivers, such as overlap studies 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 SAMS INTERNAT's intrinsic value. In addition to deriving basic predictive indicators for SAMS INTERNAT, we also check how macroeconomic factors affect SAMS INTERNAT price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.112.254.75
Details
Intrinsic
Valuation
LowRealHigh
0.091.874.37
Details
Naive
Forecast
LowNextHigh
0.042.234.73
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
2.172.232.29
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 SAMS INTERNAT 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, SAMS INTERNAT's short interest history, or implied volatility extrapolated from SAMS INTERNAT options trading.

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Other Information on Investing in SAMS Stock

SAMS INTERNAT financial ratios help investors to determine whether SAMS Stock 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 SAMS with respect to the benefits of owning SAMS INTERNAT security.