WICKES GROUP (Germany) Price on September 10, 2024

WICKES GROUP Valuation on September 10, 2024

WICKES GROUP Trading Date Momentum on September 10, 2024

On September 11 2024 WICKES GROUP PLC was traded for  1.85  at the closing time. The highest daily price throughout the period was 1.85  and the lowest price was  1.85 . There was no trading activity during the period 1.0. Lack of trading volume on 09/11/2024 had no short-term effect on price fluctuation. The trading price change to current closing price is 5.95% .

WICKES GROUP PLC Fundamentals Correlations and Trends

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

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

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

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