Guosheng Financial (China) Price History

Guosheng Financial Stock Price History Chart

Guosheng Financial November 27, 2024 Stock Price Synopsis

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

Guosheng Stock Price History Data

The price series of Guosheng Financial for the period between Thu, Aug 29, 2024 and Wed, Nov 27, 2024 has a statistical range of 5.1 with a coefficient of variation of 12.42. The prices are distributed with arithmetic mean of 10.54. The median price for the last 90 days is 11.04. The company had 1.300893:1 stock split on 29th of June 2018. Guosheng Financial issued dividends on 2018-06-29.

Guosheng Financial 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 Guosheng is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Guosheng Financial 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 Guosheng Financial stock prices may prove useful in developing a viable investing in Guosheng Financial

Guosheng Financial 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 Guosheng Financial's price direction in advance. Along with the technical and fundamental analysis of Guosheng Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Guosheng 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 Guosheng Financial's price analysis, check to measure Guosheng Financial'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 Guosheng Financial is operating at the current time. Most of Guosheng Financial's value examination focuses on studying past and present price action to predict the probability of Guosheng Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Guosheng Financial's price. Additionally, you may evaluate how the addition of Guosheng Financial to your portfolios can decrease your overall portfolio volatility.