Coca Cola (Germany) Price on October 15, 2024

Coca Cola Valuation on October 15, 2024

Coca Cola Trading Date Momentum on October 15, 2024

On October 16 2024 The Coca Cola was traded for  64.40  at the closing time. The maximum traded price for the trading interval was 64.48  and the lowest daily price was  63.85 . The daily volume was recorded at 10.5 K. The volume of trading on 16th of October 2024 played a part in the next trading day price rise. The overall trading delta to the next closing price was 0.11% . The trading price change to the closing price today is 4.20% .

Coca Cola Fundamentals Correlations and Trends

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

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

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

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