SGC Energy (Korea) Price on November 27, 2024

SGC Energy Valuation on November 27, 2024

SGC Energy Trading Date Momentum on November 27, 2024

On November 28 2024 SGC Energy Co was traded for  26,100  at the closing time. The highest price during the trading period was 26,200  and the lowest recorded bid was listed for  25,750 . The volume for the day was 17.4 K. This history from November 28, 2024 contributed to the next trading day price decline. The daily price change to the next closing price was 0.38% . The trading price change to the current price is 2.67% .

SGC Energy Fundamentals Correlations and Trends

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

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

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

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