Oxford Technology (UK) Technical Analysis
| OXH Stock | 7.00 0.00 0.00% |
As of the 21st of December, Oxford Technology holds the Variance of 6.21, risk adjusted performance of (0.18), and Coefficient Of Variation of (430.29). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Oxford Technology, as well as the relationship between them. Please check Oxford Technology treynor ratio, and the relationship between the variance and value at risk to decide if Oxford Technology is priced some-what accurately, providing market reflects its current price of 7.0 per share.
Oxford Technology Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Oxford, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OxfordOxford |
Oxford Technology 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.
Oxford Technology Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Oxford Technology volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Oxford Technology Trend Analysis
Use this graph to draw trend lines for Oxford Technology 2. You can use it to identify possible trend reversals for Oxford Technology as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Oxford Technology price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Oxford Technology Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Oxford Technology 2 applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Oxford Technology 2 market price will keep on failing further. It has 122 observation points and a regression sum of squares at 4.4, which is the sum of squared deviations for the predicted Oxford Technology price change compared to its average price change.About Oxford Technology Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Oxford Technology 2 on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Oxford Technology 2 based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Oxford Technology price pattern first instead of the macroeconomic environment surrounding Oxford Technology. By analyzing Oxford Technology's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Oxford Technology's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Oxford Technology specific price patterns or momentum indicators. Please read more on our technical analysis page.
Oxford Technology December 21, 2024 Technical Indicators
Most technical analysis of Oxford help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Oxford from various momentum indicators to cycle indicators. When you analyze Oxford charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.18) | |||
| Market Risk Adjusted Performance | (4.48) | |||
| Mean Deviation | 1.09 | |||
| Coefficient Of Variation | (430.29) | |||
| Standard Deviation | 2.49 | |||
| Variance | 6.21 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | (0.59) | |||
| Total Risk Alpha | (0.66) | |||
| Treynor Ratio | (4.49) | |||
| Maximum Drawdown | 14.29 | |||
| Value At Risk | (5.56) | |||
| Skewness | (4.64) | |||
| Kurtosis | 21.75 |
Complementary Tools for Oxford Stock analysis
When running Oxford Technology's price analysis, check to measure Oxford Technology'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 Oxford Technology is operating at the current time. Most of Oxford Technology's value examination focuses on studying past and present price action to predict the probability of Oxford Technology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oxford Technology's price. Additionally, you may evaluate how the addition of Oxford Technology to your portfolios can decrease your overall portfolio volatility.
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