Fidelity Series Large Fund Market Value
| FHOFX Fund | USD 28.96 0.11 0.38% |
| Symbol | Fidelity |
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.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Fidelity Series on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Series Large or generate 0.0% return on investment in Fidelity Series over 90 days. Fidelity Series is related to or competes with Short-term Government, Us Government, Us Government, Morgan Stanley, Morgan Stanley, Aig Government, and Prudential Government. The fund normally invests at least 80 percent of assets in securities of companies with large market capitalizations inc... 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 Large upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 4.8 | |||
| Value At Risk | (1.82) | |||
| Potential Upside | 1.36 |
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 | (0.06) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.93) |
Fidelity Series February 10, 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 | (0.06) | |||
| Market Risk Adjusted Performance | (0.92) | |||
| Mean Deviation | 0.7566 | |||
| Coefficient Of Variation | (1,214) | |||
| Standard Deviation | 1.02 | |||
| Variance | 1.03 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.93) | |||
| Maximum Drawdown | 4.8 | |||
| Value At Risk | (1.82) | |||
| Potential Upside | 1.36 | |||
| Skewness | (0.14) | |||
| Kurtosis | 0.4494 |
Fidelity Series Large Backtested Returns
Fidelity Series Large secures Sharpe Ratio (or Efficiency) of -0.0581, which denotes the fund had a -0.0581 % return per unit of risk over the last 3 months. Fidelity Series Large exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity Series' Standard Deviation of 1.02, mean deviation of 0.7566, and Variance of 1.03 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.1, 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 | -0.3 |
Weak reverse predictability
Fidelity Series Large has weak reverse predictability. Overlapping area represents the amount of predictability between Fidelity Series time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th 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 Large price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current Fidelity Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.
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