Zhongfu Information (China) Price History

Zhongfu Information Stock Price History Chart

Zhongfu Information January 10, 2025 Stock Price Synopsis

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

Zhongfu Stock Price History Data

The price series of Zhongfu Information for the period between Sat, Oct 12, 2024 and Fri, Jan 10, 2025 has a statistical range of 9.9 with a coefficient of variation of 12.31. The prices are distributed with arithmetic mean of 18.3. The median price for the last 90 days is 18.05. The company had 1.6:1 stock split on 15th of May 2020. Zhongfu Information issued dividends on 2022-05-17.

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

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