Holmen AB (Germany) Price on April 26, 2024

Holmen AB Valuation on April 26, 2024

Holmen AB Trading Date Momentum on April 26, 2024

On April 29 2024 Holmen AB was traded for  35.84  at the closing time. The maximum traded price for the trading interval was 35.84  and the lowest daily price was  35.84 . The daily volume was recorded at 50.0. The volume of trading on 29th of April 2024 played a part in the next trading day price drop. The trading delta at closing time to the next closing price was 1.54% . The trading delta at closing time to the closing price today is 1.70% .

Holmen AB Fundamentals Correlations and Trends

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

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

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

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