Siemens Ag Class Stock Price on November 29, 2024
| SMAWF Stock | USD 199.76 2.83 1.44% |
If you're considering investing in Siemens Pink Sheet, it is important to understand the factors that can impact its price. As of today, the current price of Siemens AG stands at 199.76, as last reported on the 4th of December, with the highest price reaching 199.76 and the lowest price hitting 199.76 during the day. At this point, Siemens AG is very steady. Siemens AG Class owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.081, which indicates the firm had a 0.081% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Siemens AG Class, which you can use to evaluate the volatility of the company. Please validate Siemens AG's Risk Adjusted Performance of 0.0471, coefficient of variation of 1867.93, and Semi Deviation of 1.42 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%.
Siemens Pink Sheet price history is provided at the adjusted basis, taking into account all of the recent filings.
Siemens |
Sharpe Ratio = 0.081
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Estimated Market Risk
| 2.0 actual daily | 17 83% of assets are more volatile |
Expected Return
| 0.16 actual daily | 3 97% of assets have higher returns |
Risk-Adjusted Return
| 0.08 actual daily | 6 94% of assets perform better |
Based on monthly moving average Siemens AG is performing at about 6% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Siemens AG by adding it to a well-diversified portfolio.
Related Headline
JE Cleantech Headline on 29th of November 2024
JE Cleantech Holdings Limited Announces Declaration of Cash ... by gurufocus.com
SINGAPORE, Nov. 29, 2024 -- JE Cleantech Holdings Limited , a precision cleaning and cleantech equipment manufacturer, today announced
Siemens AG Valuation on November 29, 2024
It is possible to determine the worth of Siemens AG on a given historical date. On November 29, 2024 Siemens was worth 193.33 at the beginning of the trading date compared to the closed value of 193.33. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Siemens AG pink sheet. Still, in general, we apply an absolute valuation method to find Siemens AG's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Siemens AG where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Siemens AG's related companies.
| Open | High | Low | Close | Volume | |
| 189.46 | 190.05 | 188.85 | 188.85 | 142.00 | |
11/29/2024 | 193.33 | 193.33 | 193.33 | 193.33 | 1,750 |
| 191.30 | 197.85 | 191.30 | 196.93 | 979.00 |
| Backtest Siemens AG | | | Siemens AG History | | | Siemens AG Valuation | Previous | Next |
Siemens AG Trading Date Momentum on November 29, 2024
| On December 02 2024 Siemens AG Class was traded for 196.93 at the closing time. The highest daily price throughout the period was 197.85 and the lowest price was 191.30 . The daily volume was 979. The net trading volume on 12/02/2024 added to the next day price rise. The trading price change to closing price of the next trading day was 1.86% . The trading price change to current closing price is 3.33% . |
Siemens AG Class Fundamentals Correlations and Trends
By evaluating Siemens AG'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 Siemens AG's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Siemens financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Siemens AG Pink Sheet history
Siemens AG 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 Siemens is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Siemens AG Class 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 Siemens AG stock prices may prove useful in developing a viable investing in Siemens AG
Siemens Aktiengesellschaft, a technology company, focuses in the areas of automation and digitalization in Europe, Commonwealth of Independent States, Africa, the Middle East, the Americas, Asia, and Australia. Siemens Aktiengesellschaft was founded in 1847 and is headquartered in Munich, Germany. Siemens A operates under Specialty Industrial Machinery classification in the United States and is traded on OTC Exchange. It employs 311000 people.
Siemens AG Pink Sheet Technical Analysis
Siemens AG 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.
Price Boundaries
Siemens AG Period Price Range
Low | December 4, 2024
| High |
0.00 | 0.00 |
Siemens AG Class cannot be verified against its exchange. Please verify the symbol is currently traded on PINK Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Siemens AG December 4, 2024 Market Strength
Market strength indicators help investors to evaluate how Siemens AG 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 Siemens AG shares will generate the highest return on investment. By undertsting and applying Siemens AG pink sheet market strength indicators, traders can identify Siemens AG Class entry and exit signals to maximize returns
Siemens AG Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Siemens AG's price direction in advance. Along with the technical and fundamental analysis of Siemens Pink Sheet historical price patterns, it is also worthwhile for investors to track various predictive indicators of Siemens 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.
| Risk Adjusted Performance | 0.0471 | |||
| Jensen Alpha | 0.07 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.365 |
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Complementary Tools for Siemens Pink Sheet analysis
When running Siemens AG's price analysis, check to measure Siemens AG'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 Siemens AG is operating at the current time. Most of Siemens AG's value examination focuses on studying past and present price action to predict the probability of Siemens AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Siemens AG's price. Additionally, you may evaluate how the addition of Siemens AG to your portfolios can decrease your overall portfolio volatility.
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