Fidelity Advantage Bitcoin Etf Statistic Functions Beta

FBTC Etf   31.38  -0.59  -1.85%   
The statistic functions framework organizes Beta function across Fidelity Advantage. The analysis emphasizes statistical functions describing dispersion and variability while framing volatility and risk context. Select Time Period to start the analysis.

This analysis covers thirty-seven data points across the selected time horizon. The Beta measures systematic risk based on how returns on Fidelity Advantage correlated with the market. If Beta is less than 0 Fidelity Advantage generally moves in the opposite direction as compared to the market. If Fidelity Advantage Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Fidelity Advantage is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Fidelity Advantage is generally in the same direction as the market. If Beta > 1 Fidelity Advantage moves generally in the same direction as, but more than the movement of the benchmark.

Fidelity Advantage Technical Analysis Modules

Fidelity Advantage technical signals are derived from historical patterns that have statistical relevance for anticipating short-to-medium term price behavior. Volatility-adjusted signals tend to be more reliable than raw price-level triggers during regime transitions.

Methodology, Assumptions & Data Sources

Fidelity Advantage's Statistic Functions history is laid out in the chart below. The direction of the trend often matters more than any single number.

Inputs for Fidelity Advantage Bitcoin come from fund disclosures and market reference feeds and are mapped into a consistent reporting framework. Some fields can appear with publication lag.

This content is curated and reviewed by:

Rifka Kats - Member of Macroaxis Editorial Board
Last reviewed on March 14th, 2026