Dimension Computer (Taiwan) Price History

Dimension Computer Stock Price History Chart

Dimension Computer March 5, 2025 Stock Price Synopsis

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

Dimension Stock Price History Data

The price series of Dimension Computer for the period between Thu, Dec 5, 2024 and Wed, Mar 5, 2025 has a statistical range of 14.75 with a coefficient of variation of 16.54. The prices are distributed with arithmetic mean of 28.64. The median price for the last 90 days is 26.5. The company had 1000:1075 stock split on 1st of September 2024. Dimension Computer issued dividends on 2012-08-08.

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

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