Computer (Germany) Price on August 23, 2023

Computer Valuation on August 23, 2023

Computer Trading Date Momentum on August 23, 2023

On August 24 2023 Computer And Technologies was traded for  0.12  at the closing time. The highest daily price throughout the period was 0.12  and the lowest price was  0.11 . The daily volume was 4 K. The net trading volume on 08/24/2023 added to the next day price rise. The overall trading delta to closing price of the next trading day was 9.09% . The overall trading delta to current closing price is 27.27% .

Computer And Technologies Fundamentals Correlations and Trends

By evaluating Computer's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Computer's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Computer financial account trend analysis is a perfect complement when working with valuation or volatility modules.

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

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.

Market strength indicators help investors to evaluate how Computer stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Computer shares will generate the highest return on investment. By undertsting and applying Computer stock market strength indicators, traders can identify Computer And Technologies entry and exit signals to maximize returns

Predictive indicators are helping investors to find signals for Computer's price direction in advance. Along with the technical and fundamental analysis of Computer Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Computer 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 Computer's price analysis, check to measure 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 Computer is operating at the current time. Most of Computer's value examination focuses on studying past and present price action to predict the probability of 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 Computer's price. Additionally, you may evaluate how the addition of Computer to your portfolios can decrease your overall portfolio volatility.