KB HOME (Germany) Pattern Recognition Tristar Pattern

KBH Stock   78.00  0.50  0.64%   
KB HOME pattern recognition tool provides the execution environment for running the Tristar Pattern recognition and other technical functions against KB HOME. KB HOME 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 pattern recognition indicators. As with most other technical indicators, the Tristar Pattern recognition function is designed to identify and follow existing trends. KB HOME momentum indicators are usually used to generate trading rules based on assumptions that KB HOME trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was twelve with a total number of output elements of fourty-nine. The function generated a total of one valid pattern recognition events for the selected time horizon. The Tristar Pattern is relatively rare and usually implies KB HOME reversal in the current trend.

KB HOME Technical Analysis Modules

Most technical analysis of KB HOME 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 KBH from various momentum indicators to cycle indicators. When you analyze KBH 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 KB HOME 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 KB HOME. We use our internally-developed statistical techniques to arrive at the intrinsic value of KB HOME based on widely used predictive technical indicators. In general, we focus on analyzing KBH Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build KB HOME's daily price indicators and compare them against related drivers, such as pattern recognition 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 KB HOME's intrinsic value. In addition to deriving basic predictive indicators for KB HOME, we also check how macroeconomic factors affect KB HOME 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 KB HOME'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
75.7678.0080.24
Details
Intrinsic
Valuation
LowRealHigh
62.1264.3685.80
Details
Naive
Forecast
LowNextHigh
78.5480.7883.02
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
71.9376.2580.57
Details

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Additional Tools for KBH Stock Analysis

When running KB HOME's price analysis, check to measure KB HOME'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 KB HOME is operating at the current time. Most of KB HOME's value examination focuses on studying past and present price action to predict the probability of KB HOME's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move KB HOME's price. Additionally, you may evaluate how the addition of KB HOME to your portfolios can decrease your overall portfolio volatility.