Brenntag Ag Adr Stock Price on November 13, 2024

Brenntag Valuation on November 13, 2024

Brenntag Trading Date Momentum on November 13, 2024

On November 14 2024 Brenntag AG ADR was traded for  12.10  at the closing time. The highest daily price throughout the period was 12.30  and the lowest price was  12.10 . The daily volume was 197.1 K. The net trading volume on 11/14/2024 added to the next day price reduction. The overall trading delta to closing price of the next trading day was 0.33% . The overall trading delta to current closing price is 5.52% .

Brenntag AG ADR Fundamentals Correlations and Trends

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

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

Brenntag technical pink sheet 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, pink sheet market cycles, or different charting patterns.

Market strength indicators help investors to evaluate how Brenntag pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Brenntag shares will generate the highest return on investment. By undertsting and applying Brenntag pink sheet market strength indicators, traders can identify Brenntag AG ADR entry and exit signals to maximize returns

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