GuoChuang Software (China) Price History

GuoChuang Software Stock Price History Chart

GuoChuang Software December 1, 2024 Stock Price Synopsis

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

GuoChuang Stock Price History Data

The price series of GuoChuang Software for the period between Mon, Sep 2, 2024 and Sun, Dec 1, 2024 has a statistical range of 13.27 with a coefficient of variation of 24.12. The prices are distributed with arithmetic mean of 19.31. The median price for the last 90 days is 19.08. The company had 22:10 stock split on 18th of July 2017. GuoChuang Software issued dividends on 2022-06-08.

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

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