Mfs Growth Allocation Fund Technical Analysis
| MAGEX Fund | USD 25.62 0.02 0.08% |
As of the 26th of January, Mfs Growth secures the Mean Deviation of 0.5021, risk adjusted performance of 0.1181, and Downside Deviation of 0.5721. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Mfs Growth Allocation, as well as the relationship between them.
Mfs Growth Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Mfs, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MfsMfs |
Mfs Growth '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 Mfs Growth'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 Mfs Growth.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Mfs Growth on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Mfs Growth Allocation or generate 0.0% return on investment in Mfs Growth over 90 days. Mfs Growth is related to or competes with Omni Small-cap, Guidemark Large, Federated Government, Alternative Asset, L Abbett, Ab Global, and Eic Value. The fund is designed to provide diversification among different asset classes by investing its assets in other mutual fu... More
Mfs Growth 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 Mfs Growth'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 Mfs Growth Allocation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5721 | |||
| Information Ratio | 0.0727 | |||
| Maximum Drawdown | 7.35 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 0.9126 |
Mfs Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Growth's standard deviation. In reality, there are many statistical measures that can use Mfs Growth historical prices to predict the future Mfs Growth's volatility.| Risk Adjusted Performance | 0.1181 | |||
| Jensen Alpha | 0.093 | |||
| Total Risk Alpha | 0.0495 | |||
| Sortino Ratio | 0.1159 | |||
| Treynor Ratio | 0.2211 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs Growth'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.
Mfs Growth January 26, 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 | 0.1181 | |||
| Market Risk Adjusted Performance | 0.2311 | |||
| Mean Deviation | 0.5021 | |||
| Semi Deviation | 0.2667 | |||
| Downside Deviation | 0.5721 | |||
| Coefficient Of Variation | 630.55 | |||
| Standard Deviation | 0.9121 | |||
| Variance | 0.832 | |||
| Information Ratio | 0.0727 | |||
| Jensen Alpha | 0.093 | |||
| Total Risk Alpha | 0.0495 | |||
| Sortino Ratio | 0.1159 | |||
| Treynor Ratio | 0.2211 | |||
| Maximum Drawdown | 7.35 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 0.9126 | |||
| Downside Variance | 0.3273 | |||
| Semi Variance | 0.0711 | |||
| Expected Short fall | (0.61) | |||
| Skewness | 4.53 | |||
| Kurtosis | 30.33 |
Mfs Growth Allocation Backtested Returns
At this stage we consider Mfs Mutual Fund to be very steady. Mfs Growth Allocation has Sharpe Ratio of 0.15, which conveys that the entity had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Mfs Growth, which you can use to evaluate the volatility of the fund. Please verify Mfs Growth's Mean Deviation of 0.5021, risk adjusted performance of 0.1181, and Downside Deviation of 0.5721 to check out if the risk estimate we provide is consistent with the expected return of 0.15%. The fund secures a Beta (Market Risk) of 0.61, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Mfs Growth's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mfs Growth is expected to be smaller as well.
Auto-correlation | -0.12 |
Insignificant reverse predictability
Mfs Growth Allocation has insignificant reverse predictability. Overlapping area represents the amount of predictability between Mfs Growth time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th 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 Mfs Growth Allocation price movement. The serial correlation of -0.12 indicates that less than 12.0% of current Mfs Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.12 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.7 |
Mfs Growth 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.
Mfs Growth Allocation 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 Mfs Growth Allocation volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Mfs Growth 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 Mfs Growth Allocation 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 Mfs Growth Allocation based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Mfs Growth Allocation price pattern first instead of the macroeconomic environment surrounding Mfs Growth Allocation. By analyzing Mfs Growth'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 Mfs Growth'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 Mfs Growth specific price patterns or momentum indicators. Please read more on our technical analysis page.
Mfs Growth January 26, 2026 Technical Indicators
Most technical analysis of Mfs 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 Mfs from various momentum indicators to cycle indicators. When you analyze Mfs 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 | 0.1181 | |||
| Market Risk Adjusted Performance | 0.2311 | |||
| Mean Deviation | 0.5021 | |||
| Semi Deviation | 0.2667 | |||
| Downside Deviation | 0.5721 | |||
| Coefficient Of Variation | 630.55 | |||
| Standard Deviation | 0.9121 | |||
| Variance | 0.832 | |||
| Information Ratio | 0.0727 | |||
| Jensen Alpha | 0.093 | |||
| Total Risk Alpha | 0.0495 | |||
| Sortino Ratio | 0.1159 | |||
| Treynor Ratio | 0.2211 | |||
| Maximum Drawdown | 7.35 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 0.9126 | |||
| Downside Variance | 0.3273 | |||
| Semi Variance | 0.0711 | |||
| Expected Short fall | (0.61) | |||
| Skewness | 4.53 | |||
| Kurtosis | 30.33 |
Mfs Growth January 26, 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 Mfs 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 | 25.62 | ||
| Day Typical Price | 25.62 | ||
| Price Action Indicator | 0.01 |
Other Information on Investing in Mfs Mutual Fund
Mfs Growth financial ratios help investors to determine whether Mfs 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 Mfs with respect to the benefits of owning Mfs Growth security.
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine |