Applied Finance Core Fund Price History
AFAZX Fund | USD 12.00 0.09 0.76% |
Below is the normalized historical share price chart for Applied Finance Core extending back to September 01, 2009. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Applied Finance stands at 12.00, as last reported on the 1st of August, with the highest price reaching 12.00 and the lowest price hitting 12.00 during the day.
If you're considering investing in Applied Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Applied Mutual Fund to be very steady. Applied Finance Core secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the fund had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Applied Finance Core, which you can use to evaluate the volatility of the entity. Please confirm Applied Finance's Mean Deviation of 0.6091, downside deviation of 0.7807, and Risk Adjusted Performance of 0.1424 to double-check if the risk estimate we provide is consistent with the expected return of 0.13%.
Applied Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Applied |
Sharpe Ratio = 0.1615
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Estimated Market Risk
0.81 actual daily | 7 93% of assets are more volatile |
Expected Return
0.13 actual daily | 2 98% of assets have higher returns |
Risk-Adjusted Return
0.16 actual daily | 12 88% of assets perform better |
Based on monthly moving average Applied Finance is performing at about 12% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Applied Finance by adding it to a well-diversified portfolio.
Applied Finance Mutual Fund Price History Chart
There are several ways to analyze Applied Finance Core Fund price data. The simplest method is using a basic Applied candlestick price chart, which shows Applied Finance price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
Highest Price | July 23, 2025 | 12.22 |
Lowest Price | May 6, 2025 | 11.01 |
Applied Finance August 1, 2025 Mutual Fund Price Synopsis
Various analyses of Applied Finance's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Applied Mutual Fund. It can be used to describe the percentage change in the price of Applied Finance from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Applied Mutual Fund.Applied Finance Price Rate Of Daily Change | 1.01 | |
Applied Finance Price Action Indicator | 0.04 |
Applied Finance August 1, 2025 Mutual Fund Price Analysis
Applied Mutual Fund Price History Data
The price series of Applied Finance for the period between Sat, May 3, 2025 and Fri, Aug 1, 2025 has a statistical range of 1.31 with a coefficient of variation of 3.14. The prices are distributed with arithmetic mean of 11.61. The median price for the last 90 days is 11.56. The company issued dividends on December 31, 2019.Open | High | Low | Close | Volume | ||
08/01/2025 | 12.00 | 12.00 | 12.00 | 12.00 | ||
07/31/2025 | 11.91 | 11.91 | 11.91 | 11.91 | 1.00 | |
07/30/2025 | 12.00 | 12.00 | 12.00 | 12.00 | 1.00 | |
07/29/2025 | 12.08 | 12.08 | 12.08 | 12.08 | 1.00 | |
07/28/2025 | 12.11 | 12.11 | 12.11 | 12.11 | 1.00 | |
07/25/2025 | 12.19 | 12.19 | 12.19 | 12.19 | 1.00 | |
07/24/2025 | 12.12 | 12.12 | 12.12 | 12.12 | 1.00 | |
07/23/2025 | 12.22 | 12.22 | 12.22 | 12.22 | 1.00 | |
07/22/2025 | 12.11 | 12.11 | 12.11 | 12.11 | 1.00 | |
07/21/2025 | 11.95 | 11.95 | 11.95 | 11.95 | 1.00 | |
07/18/2025 | 11.97 | 11.97 | 11.97 | 11.97 | 1.00 | |
07/17/2025 | 11.95 | 11.95 | 11.95 | 11.95 | 1.00 | |
07/16/2025 | 11.88 | 11.88 | 11.88 | 11.88 | 1.00 | |
07/15/2025 | 11.83 | 11.83 | 11.83 | 11.83 | 1.00 | |
07/14/2025 | 12.02 | 12.02 | 12.02 | 12.02 | 1.00 | |
07/11/2025 | 12.04 | 12.04 | 12.04 | 12.04 | 1.00 | |
07/10/2025 | 12.11 | 12.11 | 12.11 | 12.11 | 1.00 | |
07/09/2025 | 12.05 | 12.05 | 12.05 | 12.05 | 1.00 | |
07/08/2025 | 12.03 | 12.03 | 12.03 | 12.03 | 1.00 | |
07/07/2025 | 11.99 | 11.99 | 11.99 | 11.99 | 1.00 | |
07/03/2025 | 12.10 | 12.10 | 12.10 | 12.10 | 1.00 | |
07/02/2025 | 12.06 | 12.06 | 12.06 | 12.06 | 1.00 | |
07/01/2025 | 12.00 | 12.00 | 12.00 | 12.00 | 1.00 | |
06/30/2025 | 11.85 | 11.85 | 11.85 | 11.85 | 1.00 | |
06/27/2025 | 11.77 | 11.77 | 11.77 | 11.77 | 1.00 | |
06/26/2025 | 11.75 | 11.75 | 11.75 | 11.75 | 1.00 | |
06/25/2025 | 11.67 | 11.67 | 11.67 | 11.67 | 1.00 | |
06/24/2025 | 11.73 | 11.73 | 11.73 | 11.73 | 1.00 | |
06/23/2025 | 11.65 | 11.65 | 11.65 | 11.65 | 1.00 | |
06/20/2025 | 11.55 | 11.55 | 11.55 | 11.55 | 1.00 | |
06/18/2025 | 11.53 | 11.53 | 11.53 | 11.53 | 1.00 | |
06/17/2025 | 11.53 | 11.53 | 11.53 | 11.53 | 1.00 | |
06/16/2025 | 11.63 | 11.63 | 11.63 | 11.63 | 1.00 | |
06/13/2025 | 11.54 | 11.54 | 11.54 | 11.54 | 1.00 | |
06/12/2025 | 11.67 | 11.67 | 11.67 | 11.67 | 1.00 | |
06/11/2025 | 11.62 | 11.62 | 11.62 | 11.62 | 1.00 | |
06/10/2025 | 11.65 | 11.65 | 11.65 | 11.65 | 1.00 | |
06/09/2025 | 11.56 | 11.56 | 11.56 | 11.56 | 1.00 | |
06/06/2025 | 11.56 | 11.56 | 11.56 | 11.56 | 1.00 | |
06/05/2025 | 11.42 | 11.42 | 11.42 | 11.42 | 1.00 | |
06/04/2025 | 11.43 | 11.43 | 11.43 | 11.43 | 1.00 | |
06/03/2025 | 11.49 | 11.49 | 11.49 | 11.49 | 1.00 | |
06/02/2025 | 11.42 | 11.42 | 11.42 | 11.42 | 1.00 | |
05/30/2025 | 11.42 | 11.42 | 11.42 | 11.42 | 1.00 | |
05/29/2025 | 11.40 | 11.40 | 11.40 | 11.40 | 1.00 | |
05/28/2025 | 11.36 | 11.36 | 11.36 | 11.36 | 1.00 | |
05/27/2025 | 11.49 | 11.49 | 11.49 | 11.49 | 1.00 | |
05/23/2025 | 11.30 | 11.30 | 11.30 | 11.30 | 1.00 | |
05/22/2025 | 11.32 | 11.32 | 11.32 | 11.32 | 1.00 | |
05/21/2025 | 11.33 | 11.33 | 11.33 | 11.33 | 1.00 | |
05/20/2025 | 11.55 | 11.55 | 11.55 | 11.55 | 1.00 | |
05/19/2025 | 11.58 | 11.58 | 11.58 | 11.58 | 1.00 | |
05/16/2025 | 11.56 | 11.56 | 11.56 | 11.56 | 1.00 | |
05/15/2025 | 11.48 | 11.48 | 11.48 | 11.48 | 1.00 | |
05/14/2025 | 11.31 | 11.31 | 11.31 | 11.31 | 1.00 | |
05/13/2025 | 11.40 | 11.40 | 11.40 | 11.40 | 1.00 | |
05/12/2025 | 11.40 | 11.40 | 11.40 | 11.40 | 1.00 | |
05/09/2025 | 11.10 | 11.10 | 11.10 | 11.10 | 1.00 | |
05/08/2025 | 11.13 | 11.13 | 11.13 | 11.13 | 1.00 | |
05/07/2025 | 11.01 | 11.01 | 11.01 | 11.01 | 1.00 | |
05/06/2025 | 11.01 | 11.01 | 11.01 | 11.01 | 1.00 |
About Applied Finance Mutual Fund history
Applied Finance investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Applied is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Applied Finance Core will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Applied Finance stock prices may prove useful in developing a viable investing in Applied Finance
The fund will under normal conditions invest at least 80 percent of its net assets in dividend-paying common and preferred stock of companies. It may also invest in small and mid-cap companies, convertible securities, preferred stocks, rights and warrants, and other investment companies including exchange-traded funds, .
Applied Finance Mutual Fund Technical Analysis
Applied Finance 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.
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Applied Finance Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Applied Finance's price direction in advance. Along with the technical and fundamental analysis of Applied Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Applied to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
Risk Adjusted Performance | 0.1424 | |||
Jensen Alpha | 0.1524 | |||
Total Risk Alpha | (0.001) | |||
Sortino Ratio | 0.0054 | |||
Treynor Ratio | (1.24) |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Other Information on Investing in Applied Mutual Fund
Applied Finance financial ratios help investors to determine whether Applied 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 Applied with respect to the benefits of owning Applied Finance security.
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators |