Fidelity Total Market Fund Technical Analysis
| FSKAX Fund | USD 189.75 1.07 0.56% |
As of the 1st of February, Fidelity Total shows the Mean Deviation of 0.5547, coefficient of variation of 2609.44, and Downside Deviation of 0.8456. Fidelity Total Market 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 Total 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 Total '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 Total'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 Total.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Fidelity Total on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Total Market or generate 0.0% return on investment in Fidelity Total over 90 days. Fidelity Total is related to or competes with Vanguard Small, Vanguard Wellington, Jpmorgan Large, Vanguard Target, T Rowe, Fidelity Extended, and Vanguard Target. The fund normally invests at least 80 percent of assets in common stocks included in the Dow Jones U.S More
Fidelity Total 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 Total'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 Total Market upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8456 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.57 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.11 |
Fidelity Total Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Total's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Total's standard deviation. In reality, there are many statistical measures that can use Fidelity Total historical prices to predict the future Fidelity Total's volatility.| Risk Adjusted Performance | 0.028 | |||
| Jensen Alpha | 0.0152 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.198 |
Fidelity Total February 1, 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 | 0.028 | |||
| Market Risk Adjusted Performance | 0.208 | |||
| Mean Deviation | 0.5547 | |||
| Semi Deviation | 0.7821 | |||
| Downside Deviation | 0.8456 | |||
| Coefficient Of Variation | 2609.44 | |||
| Standard Deviation | 0.7419 | |||
| Variance | 0.5504 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0152 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.198 | |||
| Maximum Drawdown | 3.57 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.11 | |||
| Downside Variance | 0.715 | |||
| Semi Variance | 0.6116 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.57) | |||
| Kurtosis | 0.5674 |
Fidelity Total Market Backtested Returns
At this stage we consider Fidelity Mutual Fund to be very steady. Fidelity Total Market secures Sharpe Ratio (or Efficiency) of 0.0383, which denotes the fund had a 0.0383 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Total Market, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Total's Mean Deviation of 0.5547, downside deviation of 0.8456, and Coefficient Of Variation of 2609.44 to check if the risk estimate we provide is consistent with the expected return of 0.0284%. The fund shows a Beta (market volatility) of 0.0931, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Total's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Total is expected to be smaller as well.
Auto-correlation | 0.03 |
Virtually no predictability
Fidelity Total Market has virtually no predictability. Overlapping area represents the amount of predictability between Fidelity Total time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st 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 Total Market price movement. The serial correlation of 0.03 indicates that only 3.0% of current Fidelity Total price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.03 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 2.24 |
Fidelity Total 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 Total Market 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 Fidelity Total Market volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Fidelity Total 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 Total Market 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 Total Market based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Fidelity Total Market price pattern first instead of the macroeconomic environment surrounding Fidelity Total Market. By analyzing Fidelity Total'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 Total'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 Total specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fidelity Total February 1, 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 | 0.028 | |||
| Market Risk Adjusted Performance | 0.208 | |||
| Mean Deviation | 0.5547 | |||
| Semi Deviation | 0.7821 | |||
| Downside Deviation | 0.8456 | |||
| Coefficient Of Variation | 2609.44 | |||
| Standard Deviation | 0.7419 | |||
| Variance | 0.5504 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0152 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.198 | |||
| Maximum Drawdown | 3.57 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.11 | |||
| Downside Variance | 0.715 | |||
| Semi Variance | 0.6116 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.57) | |||
| Kurtosis | 0.5674 |
Fidelity Total Market One Year Return
Based on the recorded statements, Fidelity Total Market has an One Year Return of 14.7227%. This is 296.84% higher than that of the Fidelity Investments family and significantly higher than that of the Large Blend 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 Total February 1, 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 | 189.75 | ||
| Day Typical Price | 189.75 | ||
| Price Action Indicator | (0.53) |
Other Information on Investing in Fidelity Mutual Fund
Fidelity Total 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 Total security.
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