John Hancock Variable Fund Technical Analysis
| JAFYX Fund | USD 11.75 0.01 0.09% |
As of the 27th of January, John Hancock retains the Risk Adjusted Performance of (0.03), market risk adjusted performance of (0.17), and Downside Deviation of 0.1155. Our technical analysis interface lets you check existing technical drivers of John Hancock Variable, as well as the relationship between them.
John Hancock Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as John, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to JohnJohn |
John Hancock '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 John Hancock'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 John Hancock.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in John Hancock on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding John Hancock Variable or generate 0.0% return on investment in John Hancock over 90 days. John Hancock is related to or competes with John Hancock, John Hancock, and John Hancock. John Hancock is entity of United States. It is traded as Fund on NMFQS exchange. More
John Hancock 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 John Hancock'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 John Hancock Variable upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1155 | |||
| Information Ratio | (0.87) | |||
| Maximum Drawdown | 0.3419 | |||
| Value At Risk | (0.09) | |||
| Potential Upside | 0.1704 |
John Hancock Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for John Hancock's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as John Hancock's standard deviation. In reality, there are many statistical measures that can use John Hancock historical prices to predict the future John Hancock's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.66) | |||
| Treynor Ratio | (0.18) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of John Hancock'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.
John Hancock 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.17) | |||
| Mean Deviation | 0.0662 | |||
| Semi Deviation | 0.0197 | |||
| Downside Deviation | 0.1155 | |||
| Coefficient Of Variation | 1673.31 | |||
| Standard Deviation | 0.0872 | |||
| Variance | 0.0076 | |||
| Information Ratio | (0.87) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.66) | |||
| Treynor Ratio | (0.18) | |||
| Maximum Drawdown | 0.3419 | |||
| Value At Risk | (0.09) | |||
| Potential Upside | 0.1704 | |||
| Downside Variance | 0.0133 | |||
| Semi Variance | 4.0E-4 | |||
| Expected Short fall | (0.10) | |||
| Skewness | (0.30) | |||
| Kurtosis | 0.2096 |
John Hancock Variable Backtested Returns
At this stage we consider John Mutual Fund to be very steady. John Hancock Variable holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for John Hancock Variable, which you can use to evaluate the volatility of the entity. Please check out John Hancock's Risk Adjusted Performance of (0.03), market risk adjusted performance of (0.17), and Downside Deviation of 0.1155 to validate if the risk estimate we provide is consistent with the expected return of 0.0112%. The fund retains a Market Volatility (i.e., Beta) of 0.0262, which attests to not very significant fluctuations relative to the market. As returns on the market increase, John Hancock's returns are expected to increase less than the market. However, during the bear market, the loss of holding John Hancock is expected to be smaller as well.
Auto-correlation | -0.06 |
Very weak reverse predictability
John Hancock Variable has very weak reverse predictability. Overlapping area represents the amount of predictability between John Hancock 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 John Hancock Variable price movement. The serial correlation of -0.06 indicates that barely 6.0% of current John Hancock price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
John Hancock 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.
John Hancock Variable 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 John Hancock Variable volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About John Hancock 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 John Hancock Variable 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 John Hancock Variable based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on John Hancock Variable price pattern first instead of the macroeconomic environment surrounding John Hancock Variable. By analyzing John Hancock'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 John Hancock'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 John Hancock specific price patterns or momentum indicators. Please read more on our technical analysis page.
John Hancock January 27, 2026 Technical Indicators
Most technical analysis of John 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 John from various momentum indicators to cycle indicators. When you analyze John 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.17) | |||
| Mean Deviation | 0.0662 | |||
| Semi Deviation | 0.0197 | |||
| Downside Deviation | 0.1155 | |||
| Coefficient Of Variation | 1673.31 | |||
| Standard Deviation | 0.0872 | |||
| Variance | 0.0076 | |||
| Information Ratio | (0.87) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.66) | |||
| Treynor Ratio | (0.18) | |||
| Maximum Drawdown | 0.3419 | |||
| Value At Risk | (0.09) | |||
| Potential Upside | 0.1704 | |||
| Downside Variance | 0.0133 | |||
| Semi Variance | 4.0E-4 | |||
| Expected Short fall | (0.10) | |||
| Skewness | (0.30) | |||
| Kurtosis | 0.2096 |
John Hancock 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 John 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 | 11.75 | ||
| Day Typical Price | 11.75 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in John Mutual Fund
John Hancock financial ratios help investors to determine whether John 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 John with respect to the benefits of owning John Hancock security.
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