Fidelity Emerging Asia Fund Technical Analysis
| FSEAX Fund | USD 71.67 0.37 0.51% |
As of the 5th of February, Fidelity Emerging shows the Mean Deviation of 0.6791, downside deviation of 0.8147, and Coefficient Of Variation of 911.58. Fidelity Emerging Asia technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Fidelity Emerging Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fidelity, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FidelityFidelity |
Fidelity Emerging '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 Fidelity Emerging'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 Fidelity Emerging.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Fidelity Emerging on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Emerging Asia or generate 0.0% return on investment in Fidelity Emerging over 90 days. Fidelity Emerging is related to or competes with Fidelity Telecom, Fidelity Advisor, Goldman Sachs, Fidelity International, Harbor Large, Calvert Emerging, and T Rowe. The fund normally invests at least 80 percent of assets in securities of Asian emerging markets issuers and other invest... More
Fidelity Emerging 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 Fidelity Emerging'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 Fidelity Emerging Asia upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8147 | |||
| Information Ratio | 0.035 | |||
| Maximum Drawdown | 3.9 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.36 |
Fidelity Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Emerging's standard deviation. In reality, there are many statistical measures that can use Fidelity Emerging historical prices to predict the future Fidelity Emerging's volatility.| Risk Adjusted Performance | 0.0822 | |||
| Jensen Alpha | 0.0573 | |||
| Total Risk Alpha | 0.0207 | |||
| Sortino Ratio | 0.0371 | |||
| Treynor Ratio | 0.1683 |
Fidelity Emerging February 5, 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 | 0.0822 | |||
| Market Risk Adjusted Performance | 0.1783 | |||
| Mean Deviation | 0.6791 | |||
| Semi Deviation | 0.7112 | |||
| Downside Deviation | 0.8147 | |||
| Coefficient Of Variation | 911.58 | |||
| Standard Deviation | 0.8638 | |||
| Variance | 0.7462 | |||
| Information Ratio | 0.035 | |||
| Jensen Alpha | 0.0573 | |||
| Total Risk Alpha | 0.0207 | |||
| Sortino Ratio | 0.0371 | |||
| Treynor Ratio | 0.1683 | |||
| Maximum Drawdown | 3.9 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.36 | |||
| Downside Variance | 0.6638 | |||
| Semi Variance | 0.5058 | |||
| Expected Short fall | (0.77) | |||
| Skewness | 0.0294 | |||
| Kurtosis | 0.2557 |
Fidelity Emerging Asia Backtested Returns
At this stage we consider Fidelity Mutual Fund to be very steady. Fidelity Emerging Asia secures Sharpe Ratio (or Efficiency) of 0.16, which denotes the fund had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Fidelity Emerging Asia, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Emerging's Coefficient Of Variation of 911.58, mean deviation of 0.6791, and Downside Deviation of 0.8147 to check if the risk estimate we provide is consistent with the expected return of 0.13%. The fund shows a Beta (market volatility) of 0.5, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Emerging is expected to be smaller as well.
Auto-correlation | -0.73 |
Almost perfect reverse predictability
Fidelity Emerging Asia has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Fidelity Emerging time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th of February 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 Fidelity Emerging Asia price movement. The serial correlation of -0.73 indicates that around 73.0% of current Fidelity Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.73 | |
| Spearman Rank Test | -0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 5.7 |
Fidelity Emerging 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.
Fidelity Emerging Asia Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Fidelity Emerging Asia volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Fidelity Emerging 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 Fidelity Emerging Asia 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 Fidelity Emerging Asia based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Fidelity Emerging Asia price pattern first instead of the macroeconomic environment surrounding Fidelity Emerging Asia. By analyzing Fidelity Emerging'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 Fidelity Emerging'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 Fidelity Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fidelity Emerging February 5, 2026 Technical Indicators
Most technical analysis of Fidelity 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 Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity 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 | 0.0822 | |||
| Market Risk Adjusted Performance | 0.1783 | |||
| Mean Deviation | 0.6791 | |||
| Semi Deviation | 0.7112 | |||
| Downside Deviation | 0.8147 | |||
| Coefficient Of Variation | 911.58 | |||
| Standard Deviation | 0.8638 | |||
| Variance | 0.7462 | |||
| Information Ratio | 0.035 | |||
| Jensen Alpha | 0.0573 | |||
| Total Risk Alpha | 0.0207 | |||
| Sortino Ratio | 0.0371 | |||
| Treynor Ratio | 0.1683 | |||
| Maximum Drawdown | 3.9 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.36 | |||
| Downside Variance | 0.6638 | |||
| Semi Variance | 0.5058 | |||
| Expected Short fall | (0.77) | |||
| Skewness | 0.0294 | |||
| Kurtosis | 0.2557 |
Fidelity Emerging Asia One Year Return
Based on the recorded statements, Fidelity Emerging Asia has an One Year Return of 46.3086%. This is much higher than that of the Fidelity Investments family and significantly higher than that of the Pacific/Asia ex-Japan Stk 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.Fidelity Emerging February 5, 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 Fidelity 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 | 0.99 | ||
| Day Median Price | 71.67 | ||
| Day Typical Price | 71.67 | ||
| Price Action Indicator | (0.19) |
Other Information on Investing in Fidelity Mutual Fund
Fidelity Emerging financial ratios help investors to determine whether Fidelity 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 Fidelity with respect to the benefits of owning Fidelity Emerging security.
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio |