Access Flex High Fund Technical Analysis
| FYASX Fund | USD 31.32 0.03 0.1% |
As of the 30th of January, Access Flex shows the risk adjusted performance of 0.0748, and Mean Deviation of 0.1033. Access Flex High 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.
Access Flex Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Access, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AccessAccess |
Access Flex '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 Access Flex'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 Access Flex.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Access Flex on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding Access Flex High or generate 0.0% return on investment in Access Flex over 90 days. Access Flex is related to or competes with Ep Emerging, Locorr Market, Franklin Emerging, Calvert Developed, Rbc Emerging, Pace International, and Doubleline Low. The fund invests primarily in financial instruments that ProFund Advisors believes, in combination, should provide inves... More
Access Flex 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 Access Flex'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 Access Flex High upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1716 | |||
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 0.7431 | |||
| Value At Risk | (0.19) | |||
| Potential Upside | 0.3222 |
Access Flex Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Access Flex's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Access Flex's standard deviation. In reality, there are many statistical measures that can use Access Flex historical prices to predict the future Access Flex's volatility.| Risk Adjusted Performance | 0.0748 | |||
| Jensen Alpha | 0.0146 | |||
| Total Risk Alpha | 0.0028 | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | (0.54) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Access Flex'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.
Access Flex January 30, 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 | 0.0748 | |||
| Market Risk Adjusted Performance | (0.53) | |||
| Mean Deviation | 0.1033 | |||
| Downside Deviation | 0.1716 | |||
| Coefficient Of Variation | 640.16 | |||
| Standard Deviation | 0.1493 | |||
| Variance | 0.0223 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | 0.0146 | |||
| Total Risk Alpha | 0.0028 | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | (0.54) | |||
| Maximum Drawdown | 0.7431 | |||
| Value At Risk | (0.19) | |||
| Potential Upside | 0.3222 | |||
| Downside Variance | 0.0295 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.12) | |||
| Skewness | (0.05) | |||
| Kurtosis | 1.22 |
Access Flex High Backtested Returns
At this stage we consider Access Mutual Fund to be out of control. Access Flex High secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the fund had a 0.16 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Access Flex High, which you can use to evaluate the volatility of the entity. Please confirm Access Flex's risk adjusted performance of 0.0748, and Mean Deviation of 0.1033 to double-check if the risk estimate we provide is consistent with the expected return of 0.0233%. The fund shows a Beta (market volatility) of -0.0249, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Access Flex are expected to decrease at a much lower rate. During the bear market, Access Flex is likely to outperform the market.
Auto-correlation | 0.67 |
Good predictability
Access Flex High has good predictability. Overlapping area represents the amount of predictability between Access Flex time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th 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 Access Flex High price movement. The serial correlation of 0.67 indicates that around 67.0% of current Access Flex price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Access Flex 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.
Access Flex High 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 Access Flex High volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Access Flex 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 Access Flex High 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 Access Flex High based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Access Flex High price pattern first instead of the macroeconomic environment surrounding Access Flex High. By analyzing Access Flex'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 Access Flex'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 Access Flex specific price patterns or momentum indicators. Please read more on our technical analysis page.
Access Flex January 30, 2026 Technical Indicators
Most technical analysis of Access 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 Access from various momentum indicators to cycle indicators. When you analyze Access 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 | 0.0748 | |||
| Market Risk Adjusted Performance | (0.53) | |||
| Mean Deviation | 0.1033 | |||
| Downside Deviation | 0.1716 | |||
| Coefficient Of Variation | 640.16 | |||
| Standard Deviation | 0.1493 | |||
| Variance | 0.0223 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | 0.0146 | |||
| Total Risk Alpha | 0.0028 | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | (0.54) | |||
| Maximum Drawdown | 0.7431 | |||
| Value At Risk | (0.19) | |||
| Potential Upside | 0.3222 | |||
| Downside Variance | 0.0295 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.12) | |||
| Skewness | (0.05) | |||
| Kurtosis | 1.22 |
Access Flex High One Year Return
Based on the recorded statements, Access Flex High has an One Year Return of 4.6448%. This is 91.1% lower than that of the ProFunds family and significantly higher than that of the High Yield Bond category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Access Flex January 30, 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 Access 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 | 31.32 | ||
| Day Typical Price | 31.32 | ||
| Price Action Indicator | 0.02 |
Other Information on Investing in Access Mutual Fund
Access Flex financial ratios help investors to determine whether Access 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 Access with respect to the benefits of owning Access Flex security.
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
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