Oxford Metrics (UK) Price on November 25, 2024
OMG Stock | 62.40 0.20 0.32% |
Below is the normalized historical share price chart for Oxford Metrics plc extending back to April 10, 2001. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Oxford Metrics stands at 62.40, as last reported on the 2nd of December, with the highest price reaching 65.00 and the lowest price hitting 62.40 during the day.
If you're considering investing in Oxford Stock, it is important to understand the factors that can impact its price. Oxford Metrics plc maintains Sharpe Ratio (i.e., Efficiency) of -0.0937, which implies the firm had a -0.0937% return per unit of risk over the last 3 months. Oxford Metrics plc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oxford Metrics' Coefficient Of Variation of (992.13), variance of 12.45, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide.
At present, Oxford Metrics' Common Stock Total Equity is projected to increase significantly based on the last few years of reporting. The current year's Liabilities And Stockholders Equity is expected to grow to about 119.7 M, whereas Other Stockholder Equity is forecasted to decline to about 14.2 M. . Oxford Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 89.777 | 50 Day MA 60.62 | Beta 0.924 |
Oxford |
Sharpe Ratio = -0.0937
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Estimated Market Risk
3.55 actual daily | 31 69% of assets are more volatile |
Expected Return
-0.33 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.09 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Oxford Metrics 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 Oxford Metrics by adding Oxford Metrics to a well-diversified portfolio.
Price Book 1.0131 | Enterprise Value Ebitda 3.3092 | Price Sales 1.7425 | Shares Float 128.9 M | Dividend Share 0.028 |
Oxford Metrics Valuation on November 25, 2024
It is possible to determine the worth of Oxford Metrics on a given historical date. On November 25, 2024 Oxford was worth 65.0 at the beginning of the trading date compared to the closed value of 63.0. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Oxford Metrics stock. Still, in general, we apply an absolute valuation method to find Oxford Metrics' 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 Oxford Metrics where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Oxford Metrics' related companies.
Open | High | Low | Close | Volume | |
65.00 | 65.00 | 63.80 | 63.80 | 134,875 | |
11/25/2024 | 65.00 | 65.00 | 63.00 | 63.00 | 212,683 |
63.00 | 64.00 | 62.00 | 62.00 | 193,110 |
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Oxford Metrics Trading Date Momentum on November 25, 2024
On November 26 2024 Oxford Metrics plc was traded for 62.00 at the closing time. The highest price during the trading period was 64.00 and the lowest recorded bid was listed for 62.00 . The volume for the day was 193.1 K. This history from November 26, 2024 contributed to the next trading day price decline. The trading delta at closing time to the next closing price was 1.59% . The trading delta at closing time to the current price is 0.95% . |
Oxford Metrics plc Fundamentals Correlations and Trends
By evaluating Oxford Metrics' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Oxford Metrics' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Oxford financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Oxford Metrics Stock history
Oxford Metrics 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 Oxford is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Oxford Metrics plc 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 Oxford Metrics stock prices may prove useful in developing a viable investing in Oxford Metrics
Last Reported | Projected for Next Year | ||
Common Stock Shares Outstanding | 150.7 M | 98.2 M | |
Net Income Applicable To Common Shares | 54 M | 56.7 M |
Oxford Metrics Quarterly Net Working Capital |
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Oxford Metrics Stock Technical Analysis
Oxford Metrics 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
Oxford Metrics Period Price Range
Low | December 2, 2024
| High |
0.00 | 0.00 |
Oxford Metrics plc cannot be verified against its exchange. Please verify the symbol is currently traded on London 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.
Oxford Metrics December 2, 2024 Market Strength
Market strength indicators help investors to evaluate how Oxford Metrics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Oxford Metrics shares will generate the highest return on investment. By undertsting and applying Oxford Metrics stock market strength indicators, traders can identify Oxford Metrics plc entry and exit signals to maximize returns
Oxford Metrics Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Oxford Metrics' price direction in advance. Along with the technical and fundamental analysis of Oxford Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Oxford 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 | (0.07) | |||
Jensen Alpha | (0.45) | |||
Total Risk Alpha | (0.95) | |||
Treynor Ratio | (0.59) |
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When running Oxford Metrics' price analysis, check to measure Oxford Metrics' 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 Oxford Metrics is operating at the current time. Most of Oxford Metrics' value examination focuses on studying past and present price action to predict the probability of Oxford Metrics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oxford Metrics' price. Additionally, you may evaluate how the addition of Oxford Metrics to your portfolios can decrease your overall portfolio volatility.
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