Applied Finance Explorer Fund Technical Analysis
| AFDVX Fund | USD 23.99 0.04 0.17% |
As of the 27th of January, Applied Finance shows the Mean Deviation of 0.6978, downside deviation of 0.8686, and Risk Adjusted Performance of 0.0612. Applied Finance Explorer technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Applied Finance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Applied, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AppliedApplied |
Applied Finance 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Applied Finance's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Applied Finance.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Applied Finance on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Applied Finance Explorer or generate 0.0% return on investment in Applied Finance over 90 days. Applied Finance is related to or competes with Transamerica Small/mid, Clarkston Partners, Artisan Mid, T Rowe, One Choice, One Choice, and Transamerica International. The fund invests primarily in the equity securities of small and middle capitalization companies More
Applied Finance Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Applied Finance's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Applied Finance Explorer upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8686 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 4.3 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.92 |
Applied Finance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Applied Finance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Applied Finance's standard deviation. In reality, there are many statistical measures that can use Applied Finance historical prices to predict the future Applied Finance's volatility.| Risk Adjusted Performance | 0.0612 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0648 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Applied Finance's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Applied Finance January 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0612 | |||
| Market Risk Adjusted Performance | 0.0748 | |||
| Mean Deviation | 0.6978 | |||
| Semi Deviation | 0.7656 | |||
| Downside Deviation | 0.8686 | |||
| Coefficient Of Variation | 1242.18 | |||
| Standard Deviation | 0.928 | |||
| Variance | 0.8612 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0648 | |||
| Maximum Drawdown | 4.3 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.92 | |||
| Downside Variance | 0.7545 | |||
| Semi Variance | 0.5862 | |||
| Expected Short fall | (0.77) | |||
| Skewness | 0.3848 | |||
| Kurtosis | 0.8092 |
Applied Finance Explorer Backtested Returns
At this stage we consider Applied Mutual Fund to be very steady. Applied Finance Explorer secures Sharpe Ratio (or Efficiency) of 0.0943, which signifies that the fund had a 0.0943 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Applied Finance Explorer, which you can use to evaluate the volatility of the entity. Please confirm Applied Finance's Risk Adjusted Performance of 0.0612, downside deviation of 0.8686, and Mean Deviation of 0.6978 to double-check if the risk estimate we provide is consistent with the expected return of 0.0884%. The fund shows a Beta (market volatility) of 1.0, which signifies possible diversification benefits within a given portfolio. Applied Finance returns are very sensitive to returns on the market. As the market goes up or down, Applied Finance is expected to follow.
Auto-correlation | 0.43 |
Average predictability
Applied Finance Explorer has average predictability. Overlapping area represents the amount of predictability between Applied Finance time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Applied Finance Explorer price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Applied Finance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
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.
Applied Finance Explorer Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-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 Applied Finance Explorer volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Applied Finance 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 Applied Finance Explorer 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 Applied Finance Explorer based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Applied Finance Explorer price pattern first instead of the macroeconomic environment surrounding Applied Finance Explorer. By analyzing Applied Finance'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 Applied Finance'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 Applied Finance specific price patterns or momentum indicators. Please read more on our technical analysis page.
Applied Finance January 27, 2026 Technical Indicators
Most technical analysis of Applied 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 Applied from various momentum indicators to cycle indicators. When you analyze Applied 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 | 0.0612 | |||
| Market Risk Adjusted Performance | 0.0748 | |||
| Mean Deviation | 0.6978 | |||
| Semi Deviation | 0.7656 | |||
| Downside Deviation | 0.8686 | |||
| Coefficient Of Variation | 1242.18 | |||
| Standard Deviation | 0.928 | |||
| Variance | 0.8612 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0648 | |||
| Maximum Drawdown | 4.3 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.92 | |||
| Downside Variance | 0.7545 | |||
| Semi Variance | 0.5862 | |||
| Expected Short fall | (0.77) | |||
| Skewness | 0.3848 | |||
| Kurtosis | 0.8092 |
Applied Finance January 27, 2026 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 Applied 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 | 1.00 | ||
| Day Median Price | 23.99 | ||
| Day Typical Price | 23.99 | ||
| Price Action Indicator | 0.02 |
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.
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