Sumitomo (Germany) Price on November 14, 2024

Sumitomo Valuation on November 14, 2024

Sumitomo Trading Date Momentum on November 14, 2024

On November 15 2024 Sumitomo was traded for  19.62  at the closing time. The maximum traded price for the trading interval was 19.62  and the lowest daily price was  19.62 . There was no trading activity during the period 1.0. Lack of trading volume on 15th of November 2024 played a part in the next trading day price drop. The trading price change to the next closing price was 0.41% . The trading price change to the closing price today is 1.17% .

Sumitomo Fundamentals Correlations and Trends

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

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

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

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