ENF Technology (Korea) Price on December 20, 2024

ENF Technology Valuation on December 20, 2024

ENF Technology Trading Date Momentum on December 20, 2024

On December 20 2024 ENF Technology Co was traded for  16,510  at the closing time. The highest price during the trading period was 17,520  and the lowest recorded bid was listed for  16,510 . The volume for the day was 102 K. This history from December 20, 2024 did not affect price variability. The overall trading delta to the current price is 6.12% .

ENF Technology Fundamentals Correlations and Trends

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

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

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

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