Fidelity Dynamic Buffered Etf Profile
| FBUF Etf | 31.34 0.35 1.13% |
PerformanceMild
| Odds Of DistressLow
|
Fidelity Dynamic is trading at 31.34 as of the 8th of February 2026. This is a 1.13 percent increase since the beginning of the trading day. The etf's lowest day price was 31.16. Fidelity Dynamic has less than a 9 % chance of experiencing financial distress in the next few years but had a somewhat mild performance during the last 90 days. The performance scores are derived for the period starting the 10th of November 2025 and ending today, the 8th of February 2026. Click here to learn more.
Fidelity Dynamic is entity of United States. It is traded as Etf on BATS exchange. More on Fidelity Dynamic Buffered
Moving together with Fidelity Etf
| 0.68 | ACIO | Aptus Collared Income | PairCorr |
| 0.7 | CCOR | Core Alternative ETF | PairCorr |
| 0.87 | ADME | Aptus Drawdown Managed | PairCorr |
| 0.72 | SWAN | Amplify BlackSwan Growth | PairCorr |
| 0.79 | SIXH | ETC 6 Meridian | PairCorr |
Moving against Fidelity Etf
Fidelity Etf Highlights
| Thematic Ideas | (View all Themes) |
| Business Concentration | Large Cap ETFs, Size And Style ETFs, Equity Hedged (View all Sectors) |
| Issuer | Fidelity |
| Inception Date | 2024-04-09 |
| Entity Type | Regulated Investment Company |
| Asset Under Management | 18.85 Million |
| Asset Type | Equity |
| Category | Size and Style |
| Focus | Large Cap |
| Market Concentration | Developed Markets |
| Region | North America |
| Administrator | Fidelity Diversifying Solutions, LLC |
| Advisor | Fidelity Diversifying Solutions, LLC |
| Custodian | State Street Bank and Trust Company |
| Distributor | Fidelity Distributors Company LLC |
| Portfolio Manager | Eric Granat, Anna Lester, George Liu, Mitch Livstone, Shashi Naik |
| Transfer Agent | State Street Bank and Trust Company |
| Fiscal Year End | 31-Jan |
| Exchange | Cboe BZX Exchange, Inc. |
| Number of Constituents | 160 |
| Market Maker | RBC Capital Markets |
| Total Expense | 0.52 |
| Management Fee | 0.48 |
| 200 Day M A | 29.2037 |
| Country Name | USA |
| 50 Day M A | 30.9402 |
| Code | FBUF |
| Updated At | 8th of February 2026 |
| Returns Y T D | 1.46 |
| Name | Fidelity Dynamic Buffered Equity ETF |
| Currency Name | US Dollar |
| Currency Code | USD |
| Open Figi | BBG01M5HJKR3 |
| Type | ETF |
| 1y Volatility | 7.1 |
Fidelity Dynamic Buffered [FBUF] is traded in USA and was established null. The fund is listed under Equity Hedged. The entity is thematically classified as Large Cap ETFs. Fidelity Dynamic Buffered currently have in assets under management (AUM). , while the total return for the last year was 13.5%.
Check Fidelity Dynamic Probability Of Bankruptcy
Geographic Allocation (%)
Fidelity Dynamic Buffered Risk Profiles
The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Fidelity Dynamic. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures.
| Mean Deviation | 0.4034 | |||
| Semi Deviation | 0.5177 | |||
| Standard Deviation | 0.5546 | |||
| Variance | 0.3075 |
Fidelity Dynamic Buffered Technical Analysis
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Fidelity Dynamic Buffered Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Fidelity Dynamic price patterns.
Fidelity Dynamic Against Markets
Fidelity Etf Analysis Notes
Fidelity Dynamic is is formed as Regulated Investment Company in the United States. ETF is managed and operated by Fidelity Diversifying Solutions, LLC. The fund has 160 constituents across multiple sectors and instustries. The fund charges 0.48 percent management fee with a total expences of 0.52 percent of total asset. It is possible that Fidelity Dynamic Buffered etf was renamed or delisted.Fidelity Dynamic Thematic Classifications
In addition to having Fidelity Dynamic etf in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | Large Cap ETFsUSA ETFs from Large Cap clasification | |
| Size And Style ETFsUSA ETFs from Size And Style clasification |
Management Efficiency
Fidelity Dynamic's management efficiency ratios could be used to measure how well Fidelity Dynamic manages its routine affairs as well as how well it operates its assets and liabilities.Fidelity Dynamic Buffered benefits from a management team that prioritizes both innovation and efficiency. We analyze these priorities to gauge the stock's future performance.
Returns 1 Y 13.57 | Total Assets 18.8 M | Yield 0.64 | Returns YTD 1.46 |
Top Fidelity Dynamic Buffered Etf Constituents
Fidelity Dynamic Predictive Daily Indicators
Fidelity Dynamic intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Fidelity Dynamic etf daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Fidelity Dynamic Forecast Models
Fidelity Dynamic's time-series forecasting models are one of many Fidelity Dynamic's etf analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Fidelity Dynamic's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Fidelity Dynamic Buffered. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Fidelity Dynamic Buffered's market price often diverges from its book value, the accounting figure shown on Fidelity's balance sheet. Smart investors calculate Fidelity Dynamic's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Since Fidelity Dynamic's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Please note, there is a significant difference between Fidelity Dynamic's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Dynamic is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Dynamic's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.