Old Point Financial Stock Technical Analysis
OPOF Stock | USD 29.50 2.50 9.26% |
As of the 16th of February 2025, Old Point holds the Coefficient Of Variation of 355.21, risk adjusted performance of 0.2061, and Semi Deviation of 1.2. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Old Point, as well as the relationship between them. Please check Old Point Financial treynor ratio, and the relationship between the standard deviation and downside variance to decide if Old Point Financial is priced some-what accurately, providing market reflects its current price of 29.5 per share. Given that Old Point has jensen alpha of 0.5937, we recommend you to check out Old Point Financial's recent market performance to make sure the company can sustain itself at a future point.
Old Point Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Old, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OldOld |
Old Point 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.
Old Point Financial 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 Old Point Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Old Point Financial Trend Analysis
Use this graph to draw trend lines for Old Point Financial. You can use it to identify possible trend reversals for Old Point 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 Old Point price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Old Point Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Old Point Financial applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Old Point Financial will continue generating value for investors. It has 122 observation points and a regression sum of squares at 239.25, which is the sum of squared deviations for the predicted Old Point price change compared to its average price change.About Old Point 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 Old Point Financial 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 Old Point Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Old Point Financial price pattern first instead of the macroeconomic environment surrounding Old Point Financial. By analyzing Old Point'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 Old Point'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 Old Point specific price patterns or momentum indicators. Please read more on our technical analysis page.
2022 | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.0193 | 0.0313 | 0.036 | 0.0238 | Price To Sales Ratio | 2.46 | 1.51 | 1.74 | 1.66 |
Old Point February 16, 2025 Technical Indicators
Most technical analysis of Old 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 Old from various momentum indicators to cycle indicators. When you analyze Old 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 | 0.2061 | |||
Market Risk Adjusted Performance | 7.25 | |||
Mean Deviation | 1.3 | |||
Semi Deviation | 1.2 | |||
Downside Deviation | 1.96 | |||
Coefficient Of Variation | 355.21 | |||
Standard Deviation | 2.14 | |||
Variance | 4.6 | |||
Information Ratio | 0.2763 | |||
Jensen Alpha | 0.5937 | |||
Total Risk Alpha | 0.5904 | |||
Sortino Ratio | 0.3021 | |||
Treynor Ratio | 7.24 | |||
Maximum Drawdown | 11.44 | |||
Value At Risk | (1.51) | |||
Potential Upside | 4.21 | |||
Downside Variance | 3.85 | |||
Semi Variance | 1.44 | |||
Expected Short fall | (1.51) | |||
Skewness | 0.9695 | |||
Kurtosis | 6.8 |
Complementary Tools for Old Stock analysis
When running Old Point's price analysis, check to measure Old Point'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 Old Point is operating at the current time. Most of Old Point's value examination focuses on studying past and present price action to predict the probability of Old Point's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Old Point's price. Additionally, you may evaluate how the addition of Old Point to your portfolios can decrease your overall portfolio volatility.
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