MicroSectors Solactive FANG ETF Key Technical Indicators
| BERZ ETF | USD 23.55 -3.23 -12.06% |
Momentum
OversoldOverbought
0 · Capitulated
As of the 10th of May, MicroSectors Solactive prints 23.55 per share on the tape. Available indicator data includes Mean Deviation of 4.51, standard deviation of 5.63, and Risk Adjusted Performance of -0.23. Market dynamics are evaluated through structured indicator analysis. Indicator dispersion is evaluated across similar market participants.
See Fund Screeners for additional filtering and comparison across funds. The framework supports screening across fund categories, regions, and strategy types.MicroSectors Solactive's One Year Return is the annualized return generated from holding a security for exactly 12 months. The measure is considered to be a good short-term indicator of fund performance. In other words, it represents the capital appreciation of fund investments over the last year. However when the market is volatile such as in recent years, One Year Return measure can be misleading.
One Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Current MicroSectors Solactive One Year Return | -88.00 % |
Reading One Year Return in context helps investors understand one aspect of MicroSectors Solactive FANG's reported structure. Because investors are buying portfolio exposure rather than an operating business, fund valuation relies more heavily on NAV-related measures and distribution characteristics.
| Competition |
MicroSectors Solactive Fund Metrics Relationships
Main Technical Indicators as of May 10, 2026
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.23 | |||
| Market Risk Adjusted Performance | 0.3661 | |||
| Mean Deviation | 4.51 | |||
| Coefficient Of Variation | -410.30 | |||
| Standard Deviation | 5.63 | |||
| Variance | 31.72 | |||
| Information Ratio | -0.25 | |||
| Jensen Alpha | -1.39 | |||
| Total Risk Alpha | -1.37 | |||
| Treynor Ratio | 0.3561 | |||
| Maximum Drawdown | 27.45 | |||
| Value At Risk | -9.76 | |||
| Potential Upside | 7.24 | |||
| Skewness | 0.0727 | |||
| Kurtosis | -0.25 |
Daily Market Strength Indicators
Rate of Change and Momentum readings for MicroSectors Solactive measure the velocity of recent price moves rather than direction alone. These indicators add context to how recent sessions in MicroSectors Solactive have behaved. These indicators are most informative when viewed alongside MicroSectors Solactive's volume profile and volatility measures. The Price Action Indicator distills each session's open-high-low-close into a single directional score for MicroSectors Solactive.
Basic Forecasting Models
Fibonacci retracement levels applied to MicroSectors ETF price swings identify potential support and resistance zones. Extreme price moves in MicroSectors occur more frequently than standard risk models assume. Support and resistance levels derived from MicroSectors Solactive's historical data identify zones where buying or selling pressure has stalled moves. A volume spike without a corresponding price move signals accumulation or distribution ahead of a directional breakout.MicroSectors Solactive Comparable Funds
The related funds below provide a category-based comparison set for MicroSectors Solactive's. Useful comparisons usually include net asset value behavior, total return, volatility, distribution profile, and leverage. Peer comparison adds context for MicroSectors Solactive without forcing a company-style competitive framework onto the fund. The resulting view is more helpful for fund analysis than a generic industry-company comparison.
| Risk & Return | Correlation |
One Year Return Peer Comparison
Analyzing MicroSectors Solactive's One Year Return relative to peer ETFs adds category context to the fund's reported metrics. For funds, the goal is usually to compare portfolio structure, cost profile, leverage, and distribution characteristics alongside the reported ratio. Outlier readings on One Year Return among peer funds often deserve review, but they rarely tell the whole story by themselves. Used properly, the peer view helps investors judge whether MicroSectors Solactive looks typical or unusual within its fund universe.MicroSectors Solactive is currently under evaluation in one year return compared to similar ETFs.
Fund Metrics Relationships
Fund Asset Allocation for MicroSectors Solactive
The fund invests 100.0% of asset under management in tradable equity instruments, with the rest of investments concentrated in .The asset allocation of MicroSectors Solactive's reflects how its portfolio is divided among different asset categories. The proportion invested in each asset class aligns MicroSectors Solactive's risk-return profile with investor goals. By diversifying across instruments, MicroSectors Solactive's can better manage exposure to adverse market conditions. A portfolio structure designed to weather different market environments improves long-term resilience.
The specific mix of assets in a mutual fund is guided by its investment strategy and market outlook. Fund managers continuously monitor and adjust this allocation in response to market conditions. Effective asset allocation is one of the primary drivers of long-term mutual fund performance. Evaluating fund allocation in the context of broader portfolio diversification highlights potential overlap or concentration.
Important Fund Metrics
| Equity Positions Weight | 100.00 % | |||
| Three Year Return | -83.90 % | |||
| Net Asset | 22.13 M | |||
| One Year Return | -88.00 % |
Financial Metrics, Fundamentals & Methodology
MicroSectors Solactive reflects both holdings concentration and implementation efficiency. Implementation details can create persistent tracking difference over time.
Reported values for MicroSectors Solactive FANG are derived from fund disclosures and market reference feeds and standardized for analysis. Accounting-line values follow GAAP or IFRS structures as published in issuer filings.
Editorial review and methodology oversight provided by: Gabriel Shpitalnik, Member of Macroaxis Editorial Board