BASF SE (Germany) Overlap Studies Bollinger Bands

BAS -  Germany Stock  

EUR 67.08  0.38  0.56%

BASF SE overlap studies tool provides the execution environment for running the Bollinger Bands study and other technical functions against BASF SE. BASF SE 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 Bollinger Bands study function is designed to identify and follow existing trends. BASF SE overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify the following input to run this model: Time Period, Deviations up, Deviations down, and MA Type.
Symbol
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. BASF SE middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for BASF SE NA. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target. View also all equity analysis or get more info about bollinger bands overlap studies indicator.

BASF SE Technical Analysis Modules

Most technical analysis of BASF SE 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 BASF SE from various momentum indicators to cycle indicators. When you analyze BASF SE 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 BASF SE 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 BASF SE NA. We use our internally-developed statistical techniques to arrive at the intrinsic value of BASF SE NA based on widely used predictive technical indicators. In general, we focus on analyzing BASF SE Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build BASF SE'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 BASF SE's intrinsic value. In addition to deriving basic predictive indicators for BASF SE, we also check how macroeconomic factors affect BASF SE 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, frequently view the market will even out over time. This tendency of BASF SE'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. Please use the tools below to analyze the current value of BASF SE in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
65.8467.0868.32
Details
Intrinsic
Valuation
LowReal ValueHigh
55.3756.6173.79
Details
Naive
Forecast
LowNext ValueHigh
65.7266.9668.20
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
64.9866.9768.96
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as BASF SE. Your research has to be compared to or analyzed against BASF SE's peers to derive any actionable benefits. When done correctly, BASF SE's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in BASF SE NA.

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Continue to Trending Equities. Note that the BASF SE NA information on this page should be used as a complementary analysis to other BASF SE's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.

Other Tools for BASF SE Stock

When running BASF SE NA price analysis, check to measure BASF SE's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy BASF SE is operating at the current time. Most of BASF SE's value examination focuses on studying past and present price action to predict the probability of BASF SE's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move BASF SE's price. Additionally, you may evaluate how the addition of BASF SE to your portfolios can decrease your overall portfolio volatility.
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