Fidelity Emerging Markets Fund Technical Analysis
| FEDDX Fund | USD 20.77 0.10 0.48% |
As of the 3rd of February, Fidelity Emerging shows the Downside Deviation of 0.6842, mean deviation of 0.4435, and Coefficient Of Variation of 318.09. Fidelity Emerging Markets 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.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Fidelity Emerging on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Emerging Markets or generate 0.0% return on investment in Fidelity Emerging over 90 days. Fidelity Emerging is related to or competes with Dimensional Global, Computers Portfolio, Goldman Sachs, Harbor Long, Financial Services, Consumer Staples, and It Services. The fund invests at least 80 percent of assets in securities of issuers in emerging markets and other investments that a... 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 Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6842 | |||
| Information Ratio | 0.2199 | |||
| Maximum Drawdown | 2.42 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 1.1 |
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 | 0.228 | |||
| Jensen Alpha | 0.1628 | |||
| Total Risk Alpha | 0.1386 | |||
| Sortino Ratio | 0.1896 | |||
| Treynor Ratio | 0.6327 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Emerging'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.
Fidelity Emerging February 3, 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 | 0.228 | |||
| Market Risk Adjusted Performance | 0.6427 | |||
| Mean Deviation | 0.4435 | |||
| Semi Deviation | 0.2326 | |||
| Downside Deviation | 0.6842 | |||
| Coefficient Of Variation | 318.09 | |||
| Standard Deviation | 0.5899 | |||
| Variance | 0.348 | |||
| Information Ratio | 0.2199 | |||
| Jensen Alpha | 0.1628 | |||
| Total Risk Alpha | 0.1386 | |||
| Sortino Ratio | 0.1896 | |||
| Treynor Ratio | 0.6327 | |||
| Maximum Drawdown | 2.42 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 1.1 | |||
| Downside Variance | 0.4681 | |||
| Semi Variance | 0.0541 | |||
| Expected Short fall | (0.52) | |||
| Skewness | (0.42) | |||
| Kurtosis | 0.3739 |
Fidelity Emerging Markets Backtested Returns
Fidelity Emerging appears to be very steady, given 3 months investment horizon. Fidelity Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.36, which denotes the fund had a 0.36 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Emerging Markets, which you can use to evaluate the volatility of the entity. Please utilize Fidelity Emerging's Downside Deviation of 0.6842, mean deviation of 0.4435, and Coefficient Of Variation of 318.09 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.28, which means not very significant fluctuations relative to the market. 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 | 0.39 |
Below average predictability
Fidelity Emerging Markets has below average predictability. Overlapping area represents the amount of predictability between Fidelity Emerging time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd 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 Markets price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Fidelity Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.4 |
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 Markets Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Fidelity Emerging Markets across different markets.
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 Markets 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 Markets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Fidelity Emerging Markets price pattern first instead of the macroeconomic environment surrounding Fidelity Emerging Markets. 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 3, 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 | 0.228 | |||
| Market Risk Adjusted Performance | 0.6427 | |||
| Mean Deviation | 0.4435 | |||
| Semi Deviation | 0.2326 | |||
| Downside Deviation | 0.6842 | |||
| Coefficient Of Variation | 318.09 | |||
| Standard Deviation | 0.5899 | |||
| Variance | 0.348 | |||
| Information Ratio | 0.2199 | |||
| Jensen Alpha | 0.1628 | |||
| Total Risk Alpha | 0.1386 | |||
| Sortino Ratio | 0.1896 | |||
| Treynor Ratio | 0.6327 | |||
| Maximum Drawdown | 2.42 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 1.1 | |||
| Downside Variance | 0.4681 | |||
| Semi Variance | 0.0541 | |||
| Expected Short fall | (0.52) | |||
| Skewness | (0.42) | |||
| Kurtosis | 0.3739 |
Fidelity Emerging Markets One Year Return
Based on the recorded statements, Fidelity Emerging Markets has an One Year Return of 40.1841%. This is much higher than that of the Fidelity Investments family and significantly higher than that of the Diversified Emerging Mkts 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 3, 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 | 1.00 | ||
| Day Median Price | 20.77 | ||
| Day Typical Price | 20.77 | ||
| Price Action Indicator | (0.05) |
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.
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Bonds Directory Find actively traded corporate debentures issued by US companies | |
| Stocks Directory Find actively traded stocks across global markets |