Bright Scholar Education Stock Math Transform Price Natural Logarithm
| BEDU Stock | USD 1.76 0.02 1.15% |
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The output start index for this execution was zero with a total number of output elements of sixty-one. Bright Scholar Price Natural Logarithm is logarithm with base 'e' where e is equal to 2.718281828. It is applied on the entire Bright Scholar Education pricing series.
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.| Cycle Indicators | ||
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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 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 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 Yield | 0.0322 | 0.0258 | Price To Sales Ratio | 0.23 | 0.22 |
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.
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Bollinger BandsUse Bollinger Bands indicator to analyze target price for a given investing horizon |
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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. | FinTech Invested over 40 shares | |
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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.