Guangdong Ellington (China) Price History

Guangdong Ellington Stock Price History Chart

Guangdong Ellington January 22, 2025 Stock Price Synopsis

Various analyses of Guangdong Ellington's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Guangdong Stock. It can be used to describe the percentage change in the price of Guangdong Ellington from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Guangdong Stock. When benchmark price declines in a down market, there may be an uptick in Guangdong Stock price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Guangdong Ellington intraday prices and daily technical indicators to check the level of noise trading in Guangdong Stock and then apply it to test your longer-term investment strategies against Guangdong.

Guangdong Stock Price History Data

The price series of Guangdong Ellington for the period between Thu, Oct 24, 2024 and Wed, Jan 22, 2025 has a statistical range of 1.98 with a coefficient of variation of 4.86. The prices are distributed with arithmetic mean of 9.61. The median price for the last 90 days is 9.59. The company had 20:10 stock split on 19th of June 2017. Guangdong Ellington issued dividends on 2024-06-27.

Guangdong Ellington investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Guangdong is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Guangdong Ellington will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Guangdong Ellington stock prices may prove useful in developing a viable investing in Guangdong Ellington

Guangdong Ellington technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.

Predictive indicators are helping investors to find signals for Guangdong Ellington's price direction in advance. Along with the technical and fundamental analysis of Guangdong Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Guangdong to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

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