Oxford Biodynamics Plc Stock Technical Analysis

OXBOF Stock  USD 0.01  0.01  52.38%   
As of the 11th of December 2024, Oxford BioDynamics holds the Coefficient Of Variation of (476.75), risk adjusted performance of (0.14), and Variance of 158.94. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Oxford BioDynamics, as well as the relationship between them. Please check Oxford BioDynamics Plc coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and kurtosis to decide if Oxford BioDynamics Plc is priced some-what accurately, providing market reflects its current price of 0.01 per share. As Oxford BioDynamics Plc appears to be a penny stock we also advise to check out its jensen alpha numbers.

Oxford BioDynamics 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 Oxford
  
Oxford BioDynamics' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
Oxford BioDynamics 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.
A focus of Oxford BioDynamics technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Oxford BioDynamics trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Oxford BioDynamics Plc Technical Analysis

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The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 BioDynamics Plc volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Oxford BioDynamics Plc Trend Analysis

Use this graph to draw trend lines for Oxford BioDynamics Plc. You can use it to identify possible trend reversals for Oxford BioDynamics 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 BioDynamics price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Oxford BioDynamics Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Oxford BioDynamics Plc applied against its price change over selected period. The best fit line has a slop of   0.0027  , which may suggest that Oxford BioDynamics Plc market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.28, which is the sum of squared deviations for the predicted Oxford BioDynamics price change compared to its average price change.

About Oxford BioDynamics 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 BioDynamics Plc 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 BioDynamics Plc based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Oxford BioDynamics Plc price pattern first instead of the macroeconomic environment surrounding Oxford BioDynamics Plc. By analyzing Oxford BioDynamics'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 BioDynamics'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 BioDynamics specific price patterns or momentum indicators. Please read more on our technical analysis page.

Oxford BioDynamics December 11, 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.

Complementary Tools for Oxford Pink Sheet analysis

When running Oxford BioDynamics' price analysis, check to measure Oxford BioDynamics' 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 BioDynamics is operating at the current time. Most of Oxford BioDynamics' value examination focuses on studying past and present price action to predict the probability of Oxford BioDynamics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oxford BioDynamics' price. Additionally, you may evaluate how the addition of Oxford BioDynamics to your portfolios can decrease your overall portfolio volatility.
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