KGHM Polska (Germany) Price on December 11, 2024

KGHM Polska Valuation on December 11, 2024

KGHM Polska Trading Date Momentum on December 11, 2024

On December 13 2024 KGHM Polska Miedz was traded for  30.61  at the closing time. The maximum traded price for the trading interval was 30.61  and the lowest daily price was  30.01 . There was no trading activity during the period 0.0. Lack of trading volume on 13th of December 2024 did not cause price change. The trading delta at closing time to the closing price today is 1.96% .

KGHM Polska Miedz Fundamentals Correlations and Trends

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

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

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

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