BASF SE (Germany) Math Transform Price Ceiling Movement

BAS Stock   42.58  0.47  1.12%   
BASF SE math transform tool provides the execution environment for running the Price Ceiling Movement transformation 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 math transform indicators. As with most other technical indicators, the Price Ceiling Movement transformation function is designed to identify and follow existing trends. Analysts that use price transformation techniques rely on the belief that biggest profits from investing in BASF SE can be made when BASF SE shifts in price trends from positive to negative or vice versa.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. BASF SE Price Ceiling Movement function is a real number to the largest previous price integer.

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 from various momentum indicators to cycle indicators. When you analyze BASF 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. We use our internally-developed statistical techniques to arrive at the intrinsic value of BASF SE based on widely used predictive technical indicators. In general, we focus on analyzing BASF 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 math transform 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, anticipate that 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.
Hype
Prediction
LowEstimatedHigh
40.7642.5844.40
Details
Intrinsic
Valuation
LowRealHigh
42.0843.9045.72
Details
Naive
Forecast
LowNextHigh
39.8941.7243.54
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
41.9842.4242.87
Details

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Additional Tools for BASF Stock Analysis

When running BASF SE's 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 the 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.