Shin Kong (Taiwan) Price on November 11, 2024

Shin Kong Valuation on November 11, 2024

Shin Kong Trading Date Momentum on November 11, 2024

On November 12 2024 Shin Kong Financial was traded for  11.30  at the closing time. The highest price during the trading period was 11.40  and the lowest recorded bid was listed for  11.25 . The volume for the day was 66.1 M. This history from November 12, 2024 contributed to the next trading day price decline. The daily price change to the next closing price was 0.88% . The trading price change to the current price is 1.75% .

Shin Kong Financial Fundamentals Correlations and Trends

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

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

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

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