Fidelity Series 0 5 Fund Technical Analysis
| FSTZX Fund | USD 9.91 0.01 0.10% |
As of the 14th of February 2026, Fidelity Series shows the Standard Deviation of 0.0852, coefficient of variation of 614.38, and Mean Deviation of 0.0672. Fidelity Series 0 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 Series 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 Series '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 Series' 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 Series.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Fidelity Series on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Series 0 5 or generate 0.0% return on investment in Fidelity Series over 90 days. Fidelity Series is related to or competes with Fidelity Freedom, Fidelity Puritan, Fidelity Puritan, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, and Fidelity Salem. The fund normally invests at least 80 percent of its assets in inflation-protected debt securities included in the Bloom... More
Fidelity Series 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 Series' 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 Series 0 5 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.115 | |||
| Information Ratio | (0.66) | |||
| Maximum Drawdown | 0.4057 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.1018 |
Fidelity Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Series' standard deviation. In reality, there are many statistical measures that can use Fidelity Series historical prices to predict the future Fidelity Series' volatility.| Risk Adjusted Performance | 0.0466 | |||
| Jensen Alpha | 0.0035 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.49) | |||
| Treynor Ratio | 0.6225 |
Fidelity Series February 14, 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 | 0.0466 | |||
| Market Risk Adjusted Performance | 0.6325 | |||
| Mean Deviation | 0.0672 | |||
| Downside Deviation | 0.115 | |||
| Coefficient Of Variation | 614.38 | |||
| Standard Deviation | 0.0852 | |||
| Variance | 0.0073 | |||
| Information Ratio | (0.66) | |||
| Jensen Alpha | 0.0035 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.49) | |||
| Treynor Ratio | 0.6225 | |||
| Maximum Drawdown | 0.4057 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.1018 | |||
| Downside Variance | 0.0132 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.11) | |||
| Skewness | (0.1) | |||
| Kurtosis | (0.43) |
Fidelity Series 0 Backtested Returns
At this stage we consider Fidelity Mutual Fund to be very steady. Fidelity Series 0 secures Sharpe Ratio (or Efficiency) of 0.18, which denotes the fund had a 0.18 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Fidelity Series 0 5, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Series' Coefficient Of Variation of 614.38, standard deviation of 0.0852, and Mean Deviation of 0.0672 to check if the risk estimate we provide is consistent with the expected return of 0.0147%. The fund shows a Beta (market volatility) of 0.0062, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Series' returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Series is expected to be smaller as well.
Auto-correlation | 0.10 |
Insignificant predictability
Fidelity Series 0 5 has insignificant predictability. Overlapping area represents the amount of predictability between Fidelity Series time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 Series 0 price movement. The serial correlation of 0.1 indicates that less than 10.0% of current Fidelity Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.1 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Fidelity Series 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 Series 0 Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Fidelity Series 0 across different markets.
About Fidelity Series 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 Series 0 5 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 Series 0 5 based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Fidelity Series 0 price pattern first instead of the macroeconomic environment surrounding Fidelity Series 0. By analyzing Fidelity Series'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 Series'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 Series specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fidelity Series February 14, 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 | 0.0466 | |||
| Market Risk Adjusted Performance | 0.6325 | |||
| Mean Deviation | 0.0672 | |||
| Downside Deviation | 0.115 | |||
| Coefficient Of Variation | 614.38 | |||
| Standard Deviation | 0.0852 | |||
| Variance | 0.0073 | |||
| Information Ratio | (0.66) | |||
| Jensen Alpha | 0.0035 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.49) | |||
| Treynor Ratio | 0.6225 | |||
| Maximum Drawdown | 0.4057 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.1018 | |||
| Downside Variance | 0.0132 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.11) | |||
| Skewness | (0.1) | |||
| Kurtosis | (0.43) |
Fidelity Series February 14, 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 | 9.91 | ||
| Day Typical Price | 9.91 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Fidelity Mutual Fund
Fidelity Series 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 Series security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios |