Oxford Square Capital Stock Technical Analysis
OXSQLDelisted Stock | USD 25.00 0.00 0.00% |
As of the 30th of November, Oxford Square holds the Semi Deviation of 0.2296, coefficient of variation of 813.75, and Risk Adjusted Performance of 0.0852. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Oxford Square, as well as the relationship between them. Please check Oxford Square Capital information ratio, as well as the relationship between the potential upside and kurtosis to decide if Oxford Square Capital is priced some-what accurately, providing market reflects its current price of 25.0 per share. Given that Oxford Square has jensen alpha of 0.0553, we recommend you to check out Oxford Square Capital's recent market performance to make sure the company can sustain itself at a future point.
Oxford Square 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 Square 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, delisted stock market cycles, or different charting patterns.
Oxford Square Capital Technical Analysis
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Oxford Square Capital Trend Analysis
Use this graph to draw trend lines for Oxford Square Capital. You can use it to identify possible trend reversals for Oxford Square 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 Square price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Oxford Square Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Oxford Square Capital applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Oxford Square Capital will continue generating value for investors. It has 122 observation points and a regression sum of squares at 9.17, which is the sum of squared deviations for the predicted Oxford Square price change compared to its average price change.About Oxford Square 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 Square Capital 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 Square Capital based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Oxford Square Capital price pattern first instead of the macroeconomic environment surrounding Oxford Square Capital. By analyzing Oxford Square'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 Square'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 Square specific price patterns or momentum indicators. Please read more on our technical analysis page.
Oxford Square November 30, 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 | 0.0852 | |||
Market Risk Adjusted Performance | (0.33) | |||
Mean Deviation | 0.2818 | |||
Semi Deviation | 0.2296 | |||
Downside Deviation | 0.3797 | |||
Coefficient Of Variation | 813.75 | |||
Standard Deviation | 0.4077 | |||
Variance | 0.1663 | |||
Information Ratio | (0.21) | |||
Jensen Alpha | 0.0553 | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.23) | |||
Treynor Ratio | (0.34) | |||
Maximum Drawdown | 2.94 | |||
Value At Risk | (0.44) | |||
Potential Upside | 0.7736 | |||
Downside Variance | 0.1442 | |||
Semi Variance | 0.0527 | |||
Expected Short fall | (0.35) | |||
Skewness | 0.6319 | |||
Kurtosis | 4.12 |
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in producer price index. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Other Consideration for investing in Oxford Stock
If you are still planning to invest in Oxford Square Capital check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Oxford Square's history and understand the potential risks before investing.
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