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Fidelity Advisor Technology Fund Class A (FFONX) Sharpe Ratio

Mutual Fund · Currency in USD · Last updated Jul 3, 2026

Fidelity Advisor Technology Fund Class A seeks capital appreciation by investing primarily in common stocks. It normally invests at least 80% of assets in companies that offer, use, or develop products, processes, or services benefiting from technological advances, including both U.S. and foreign issuers. The fund is actively managed and non-diversified.

Sharpe ratio is not yet available for FFONX. This metric requires at least 12 months of historical daily returns to calculate. Check back once this data is available.

How it compares to other similar mutual funds

The table compares Fidelity Advisor Technology Fund Class A's Sharpe Ratio with other mutual funds in the Technology Equities, Actively Managed category across multiple time periods, showing how FFONX's risk-adjusted performance compares to similar funds.

Data shows 1-, 5-, and 10-year periods, plus each fund's all-time average, as of Jul 3, 2026.

SymbolName1Y Sharpe Ratio5Y Sharpe Ratio10Y Sharpe RatioAll Time Sharpe Ratio
ARKVXARK Venture Fund4.50
FDCPXFidelity Select Tech Hardware Portfolio4.37
CCOYXColumbia Seligman Technology and Information Fund Institutional 3 Class3.89
SCMIXColumbia Seligman Technology and Information Fund Institutional 2 Class3.89
SLMCXColumbia Seligman Technology and Information Fund3.87
SHGTXColumbia Seligman Global Technology Fund3.68
RYSIXRydex Electronics Fund3.61
FIKGXFidelity Advisor Semiconductors Fund Class Z3.40
FELIXFidelity Advisor Semiconductors Fund Class I3.39
FELAXFidelity Advisor Semiconductors Fund Class A3.37
FFONXFidelity Advisor Technology Fund Class A—

S&P 500 Index

How to choose period

Historical Sharpe Ratio

The chart shows FFONX's rolling Sharpe ratio over time compared to your chosen benchmark. Rising trends indicate improving returns relative to total volatility, while declining trends may signal deteriorating risk-adjusted performance or increased volatility. Use multiple timeframes to distinguish short-term fluctuations from long-term patterns.

Identify market cycles by observing when FFONX consistently outperforms (line above benchmark), underperforms (below benchmark), or aligns with the benchmark.

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