DICKER DATA (Germany) Price on December 17, 2024

DICKER DATA Valuation on December 17, 2024

DICKER DATA Trading Date Momentum on December 17, 2024

On December 18 2024 DICKER DATA LTD was traded for  4.88  at the closing time. The highest daily price throughout the period was 4.88  and the lowest price was  4.88 . The daily volume was 250. The net trading volume on 12/18/2024 added to the next day price reduction. The overall trading delta to closing price of the next trading day was 1.21% . The overall trading delta to current closing price is 1.21% .

DICKER DATA LTD Fundamentals Correlations and Trends

By evaluating DICKER DATA'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 DICKER DATA's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. DICKER financial account trend analysis is a perfect complement when working with valuation or volatility modules.

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

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

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