Bright Scholar Education Stock Momentum Indicators Moving Average Convergence Divergence Fix

BEDU Stock  USD 1.85  0.07  3.65%   
Bright Scholar momentum indicators tool provides the execution environment for running the Moving Average Convergence Divergence Fix indicator 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 momentum indicators indicators. As with most other technical indicators, the Moving Average Convergence Divergence Fix indicator function is designed to identify and follow existing trends. Momentum indicators of Bright Scholar are pattern recognition functions that provide distinct formation on Bright Scholar potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Signal Period to run this model.

The output start index for this execution was thirty-three with a total number of output elements of twenty-eight. Moving Average Convergence/Divergence Fix 12/26 is a momentum indicator with predefined input that shows the relationship between Bright Scholar Education price series and benchmark.

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 momentum indicators 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.
 2021 2022 2023 2024 (projected)
Payables Turnover12.3416.1613.6312.03
Days Of Inventory On Hand2.031.310.340.32
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
0.101.934.98
Details
Intrinsic
Valuation
LowRealHigh
0.093.146.19
Details
Naive
Forecast
LowNextHigh
0.042.045.10
Details
2 Analysts
Consensus
LowTargetHigh
6.477.117.89
Details

Learn to be your own money manager

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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Bright Scholar Education pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bright Scholar position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bright Scholar will appreciate offsetting losses from the drop in the long position's value.

Bright Scholar Pair Trading

Bright Scholar Education Pair Trading Analysis

The ability to find closely correlated positions to Bright Scholar could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bright Scholar when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bright Scholar - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bright Scholar Education to buy it.
The correlation of Bright Scholar is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bright Scholar moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bright Scholar Education moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bright Scholar can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

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.