TAMURA P (Germany) Price on September 9, 2024
| 5IA Stock | EUR 3.00 0.02 0.66% |
If you're considering investing in TAMURA Stock, it is important to understand the factors that can impact its price. As of today, the current price of TAMURA P stands at 3.00, as last reported on the 2nd of December, with the highest price reaching 3.00 and the lowest price hitting 3.00 during the day. TAMURA P owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.17, which indicates the company had a -0.17% return per unit of standard deviation over the last 3 months. TAMURA P exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TAMURA P's Standard Deviation of 1.78, risk adjusted performance of (0.15), and Market Risk Adjusted Performance of 1.87 to confirm the risk estimate we provide.
TAMURA Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
TAMURA |
Sharpe Ratio = -0.175
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | 5IA |
Estimated Market Risk
| 1.75 actual daily | 15 85% of assets are more volatile |
Expected Return
| -0.31 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.17 actual daily | 0 Most of other assets perform better |
Based on monthly moving average TAMURA P is not performing at its full potential. However, 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 TAMURA P by adding TAMURA P to a well-diversified portfolio.
TAMURA P Valuation on September 9, 2024
It is possible to determine the worth of TAMURA P on a given historical date. On September 9, 2024 TAMURA was worth 3.66 at the beginning of the trading date compared to the closed value of 3.66. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of TAMURA P stock. Still, in general, we apply an absolute valuation method to find TAMURA P'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 TAMURA P where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against TAMURA P's related companies.
| Open | High | Low | Close | Volume | |
| 3.68 | 3.68 | 3.58 | 3.58 | 360.00 | |
09/09/2024 | 3.66 | 3.66 | 3.66 | 3.66 | 360.00 |
| 3.64 | 3.64 | 3.62 | 3.62 | 360.00 |
| Backtest TAMURA P | | | TAMURA P History | | | TAMURA P Valuation | Previous | Next |
TAMURA P Trading Date Momentum on September 9, 2024
| On September 10 2024 TAMURA P was traded for 3.62 at the closing time. The highest daily price throughout the period was 3.64 and the lowest price was 3.62 . The daily volume was 360. The net trading volume on 09/10/2024 added to the next day price reduction. The daily price change to closing price of the next trading day was 1.09% . The trading price change to current closing price is 1.09% . |
TAMURA P Fundamentals Correlations and Trends
By evaluating TAMURA P'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 TAMURA P's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. TAMURA financial account trend analysis is a perfect complement when working with valuation or volatility modules.About TAMURA P Stock history
TAMURA P 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 TAMURA is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in TAMURA P 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 TAMURA P stock prices may prove useful in developing a viable investing in TAMURA P
Tamura Corporation manufactures and sells electronic components, electronic chemicalsFA systems, and information equipment in Japan, Asia, Europe, and the Americas. Tamura Corporation was founded in 1924 and is headquartered in Tokyo, Japan. TAMURA CORP operates under Electronic Components classification in Germany and is traded on Frankfurt Stock Exchange.
TAMURA P Stock Technical Analysis
TAMURA P 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.
Price Boundaries
TAMURA P Period Price Range
Low | December 2, 2024
| High |
0.00 | 0.00 |
TAMURA P cannot be verified against its exchange. Please verify the symbol is currently traded on Frankfurt 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.
TAMURA P December 2, 2024 Market Strength
Market strength indicators help investors to evaluate how TAMURA P stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading TAMURA P shares will generate the highest return on investment. By undertsting and applying TAMURA P stock market strength indicators, traders can identify TAMURA P entry and exit signals to maximize returns
TAMURA P Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for TAMURA P's price direction in advance. Along with the technical and fundamental analysis of TAMURA Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of TAMURA 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 | (0.15) | |||
| Jensen Alpha | (0.35) | |||
| Total Risk Alpha | (0.67) | |||
| Treynor Ratio | 1.86 |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Complementary Tools for TAMURA Stock analysis
When running TAMURA P's price analysis, check to measure TAMURA P'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 TAMURA P is operating at the current time. Most of TAMURA P's value examination focuses on studying past and present price action to predict the probability of TAMURA P's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move TAMURA P's price. Additionally, you may evaluate how the addition of TAMURA P to your portfolios can decrease your overall portfolio volatility.
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |