SCG PACKAGING (Germany) Price on December 4, 2024

SCG PACKAGING Valuation on July 25, 2023

SCG PACKAGING Trading Date Momentum on July 25, 2023

On July 26 2023 SCG PACKAGING FGN was traded for  0.29  at the closing time. The maximum traded price for the trading interval was 0.29  and the lowest daily price was  0.29 . There was no trading activity during the period 1.0. Lack of trading volume on 26th of July 2023 did not result in any price rise and fall. The trading price change to the closing price today is 0.00% .

SCG PACKAGING FGN Fundamentals Correlations and Trends

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

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

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

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