Fidelity Advisor Sustainable Fund Market Value
| FSYKX Fund | USD 12.76 0.13 1.03% |
| Symbol | Fidelity |
Fidelity Advisor '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 Advisor'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 Advisor.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in Fidelity Advisor on October 27, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Advisor Sustainable or generate 0.0% return on investment in Fidelity Advisor over 90 days. Fidelity Advisor is related to or competes with Fidelity New, Fidelity New, Fidelity Advisor, Fidelity Advisor, Fidelity Advisor, Fidelity Advisor, and Fidelity Advisor. The fund normally invests at least 80 percent of assets in equity securities of companies in emerging markets, including... More
Fidelity Advisor 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 Advisor'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 Advisor Sustainable upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8119 | |||
| Information Ratio | 0.0826 | |||
| Maximum Drawdown | 3.36 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.39 |
Fidelity Advisor Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Advisor's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Advisor's standard deviation. In reality, there are many statistical measures that can use Fidelity Advisor historical prices to predict the future Fidelity Advisor's volatility.| Risk Adjusted Performance | 0.1311 | |||
| Jensen Alpha | 0.0899 | |||
| Total Risk Alpha | 0.0595 | |||
| Sortino Ratio | 0.084 | |||
| Treynor Ratio | 0.2001 |
Fidelity Advisor January 25, 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 | 0.1311 | |||
| Market Risk Adjusted Performance | 0.2101 | |||
| Mean Deviation | 0.6606 | |||
| Semi Deviation | 0.591 | |||
| Downside Deviation | 0.8119 | |||
| Coefficient Of Variation | 563.26 | |||
| Standard Deviation | 0.8255 | |||
| Variance | 0.6814 | |||
| Information Ratio | 0.0826 | |||
| Jensen Alpha | 0.0899 | |||
| Total Risk Alpha | 0.0595 | |||
| Sortino Ratio | 0.084 | |||
| Treynor Ratio | 0.2001 | |||
| Maximum Drawdown | 3.36 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.39 | |||
| Downside Variance | 0.6592 | |||
| Semi Variance | 0.3493 | |||
| Expected Short fall | (0.75) | |||
| Skewness | 0.0374 | |||
| Kurtosis | 0.0723 |
Fidelity Advisor Sus Backtested Returns
At this stage we consider Fidelity Mutual Fund to be very steady. Fidelity Advisor Sus 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-eight technical indicators for Fidelity Advisor Sustainable, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Advisor's Mean Deviation of 0.6606, coefficient of variation of 563.26, and Downside Deviation of 0.8119 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 0.68, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Advisor's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Advisor is expected to be smaller as well.
Auto-correlation | -0.66 |
Very good reverse predictability
Fidelity Advisor Sustainable has very good reverse predictability. Overlapping area represents the amount of predictability between Fidelity Advisor time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th of January 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 Advisor Sus price movement. The serial correlation of -0.66 indicates that around 66.0% of current Fidelity Advisor price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
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 Advisor 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 Advisor security.
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |