Oklahoma College Savings Fund Technical Analysis
FODLX Fund | USD 16.60 0.63 3.66% |
As of the 19th of December, Oklahoma College holds the Coefficient Of Variation of 445.03, risk adjusted performance of 0.1808, and Semi Deviation of 0.758. Our technical analysis interface allows you to check existing technical drivers of Oklahoma College Savings, as well as the relationship between them.
Oklahoma College Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Oklahoma, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OklahomaOklahoma |
Oklahoma College technical mutual fund 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, fund market cycles, or different charting patterns.
Oklahoma College Savings Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Oklahoma College Savings volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Oklahoma College Savings Trend Analysis
Use this graph to draw trend lines for Oklahoma College Savings. You can use it to identify possible trend reversals for Oklahoma College 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 Oklahoma College price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Oklahoma College Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Oklahoma College Savings applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Oklahoma College Savings will continue generating value for investors. It has 122 observation points and a regression sum of squares at 35.08, which is the sum of squared deviations for the predicted Oklahoma College price change compared to its average price change.About Oklahoma College 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 Oklahoma College Savings 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 Oklahoma College Savings based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Oklahoma College Savings price pattern first instead of the macroeconomic environment surrounding Oklahoma College Savings. By analyzing Oklahoma College'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 Oklahoma College'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 Oklahoma College specific price patterns or momentum indicators. Please read more on our technical analysis page.
Oklahoma College December 19, 2024 Technical Indicators
Most technical analysis of Oklahoma 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 Oklahoma from various momentum indicators to cycle indicators. When you analyze Oklahoma 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 | 0.1808 | |||
Market Risk Adjusted Performance | 5.14 | |||
Mean Deviation | 0.7298 | |||
Semi Deviation | 0.758 | |||
Downside Deviation | 1.16 | |||
Coefficient Of Variation | 445.03 | |||
Standard Deviation | 1.01 | |||
Variance | 1.02 | |||
Information Ratio | 0.1959 | |||
Jensen Alpha | 0.2167 | |||
Total Risk Alpha | 0.1931 | |||
Sortino Ratio | 0.1706 | |||
Treynor Ratio | 5.13 | |||
Maximum Drawdown | 5.67 | |||
Value At Risk | (1.33) | |||
Potential Upside | 1.96 | |||
Downside Variance | 1.35 | |||
Semi Variance | 0.5746 | |||
Expected Short fall | (0.78) | |||
Skewness | (0.25) | |||
Kurtosis | 1.54 |
Oklahoma College December 19, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Oklahoma stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution | 0.00 | ||
Daily Balance Of Power | (Huge) | ||
Rate Of Daily Change | 0.96 | ||
Day Median Price | 16.60 | ||
Day Typical Price | 16.60 | ||
Price Action Indicator | (0.31) |
Other Information on Investing in Oklahoma Mutual Fund
Oklahoma College financial ratios help investors to determine whether Oklahoma Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Oklahoma with respect to the benefits of owning Oklahoma College security.
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |