Fresenius Se Co Stock Price on November 2, 2023

Fresenius Valuation on November 2, 2023

Fresenius Trading Date Momentum on November 2, 2023

On November 24 2023 Fresenius SE Co was traded for  30.47  at the closing time. The highest daily price throughout the period was 30.47  and the lowest price was  30.47 . The daily volume was 162. The net trading volume on 11/24/2023 added to the next day price rise. The overall trading delta to closing price of the next trading day was 18.24% . The overall trading delta to current closing price is 18.24% .

Fresenius SE Fundamentals Correlations and Trends

By evaluating Fresenius' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Fresenius' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Fresenius financial account trend analysis is a perfect complement when working with valuation or volatility modules.

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

Fresenius 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 Fresenius 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 Fresenius shares will generate the highest return on investment. By undertsting and applying Fresenius pink sheet market strength indicators, traders can identify Fresenius SE Co entry and exit signals to maximize returns

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