Bright Scholar Education Stock Overlap Studies Kaufman Adaptive Moving Average

BEDU Stock  USD 1.76  0.02  1.15%   
Bright Scholar overlap studies tool provides the execution environment for running the Kaufman Adaptive Moving Average study and other technical functions against Bright Scholar. Bright Scholar 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 Kaufman Adaptive Moving Average study function is designed to identify and follow existing trends. Bright Scholar 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.

Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Kaufman Adaptive Moving Average allows the user to define Bright Scholar Education range across which they want the smoothing.

Bright Scholar Technical Analysis Modules

Most technical analysis of Bright Scholar 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 Bright from various momentum indicators to cycle indicators. When you analyze Bright 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 Bright Scholar 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 Bright Scholar Education. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bright Scholar Education based on widely used predictive technical indicators. In general, we focus on analyzing Bright Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bright Scholar'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 Bright Scholar's intrinsic value. In addition to deriving basic predictive indicators for Bright Scholar, we also check how macroeconomic factors affect Bright Scholar price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 (projected)
Dividend Yield0.03220.0258
Price To Sales Ratio0.230.22
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bright Scholar'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
0.091.776.19
Details
Intrinsic
Valuation
LowRealHigh
0.153.037.45
Details
2 Analysts
Consensus
LowTargetHigh
6.477.117.89
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 Bright Scholar 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, Bright Scholar's short interest history, or implied volatility extrapolated from Bright Scholar options trading.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Investor Favorites Idea
Investor Favorites
Invested over 40 shares
Automobiles and Trucks Idea
Automobiles and Trucks
Invested over 50 shares
Power Assets Idea
Power Assets
Invested over 200 shares
Momentum Idea
Momentum
Invested over 50 shares
Business Services Idea
Business Services
Invested few shares
Baby Boomer Prospects Idea
Baby Boomer Prospects
Invested over 40 shares
Social Domain Idea
Social Domain
Invested few shares
Impulse Idea
Impulse
Invested few shares
Macroaxis Index Idea
Macroaxis Index
Invested few shares
Blockchain Idea
Blockchain
Invested few shares
Trump Equities Idea
Trump Equities
Invested few shares
Investing Idea
Investing
Invested few shares

Additional Tools for Bright Stock Analysis

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