Dongfeng Automobile (China) Price History

Dongfeng Automobile Stock Price History Chart

Dongfeng Automobile December 1, 2024 Stock Price Synopsis

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

Dongfeng Stock Price History Data

The price series of Dongfeng Automobile for the period between Mon, Sep 2, 2024 and Sun, Dec 1, 2024 has a statistical range of 2.69 with a coefficient of variation of 9.5. The prices are distributed with arithmetic mean of 6.57. The median price for the last 90 days is 6.51. The company had 13.3:10 stock split on 10th of November 2006. Dongfeng Automobile issued dividends on 2024-07-15.

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

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