Daily AI and Big Data Bear 2X ETF (AIBD.US)

Daily AI and Big Data Bear 2X ETF (AIBD.US) has delivered exceptional annualized growth of 58.3% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $990,284, representing a total return of 9803%. Over this period, AIBD.US generated positive annual returns in 5 out of 10 calendar years (50%).

The best single calendar year for AIBD.US was 2026, with a return of +725.8%. The worst year was 2025, when the asset declined 49.2%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 5.77 is considered excellent on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

AIBD.US's annualized volatility of 736.9% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in AIBD.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 79.7% — a catastrophic peak-to-trough decline. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 80% drawdown, for example, requires a 393% gain just to break even.

When evaluating AIBD.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

The macroeconomic factor model attributes 33.0% of AIBD.US's return variance to US Growth / Technology. This means that when US Growth / Technology rises or falls sharply, AIBD.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their AIBD.US allocation.

The second-largest macro driver is US Equity (broad market), contributing 19.4% of variance. 3.8% of AIBD.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding AIBD.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding AIBD.US alongside assets with low correlation to US Growth / Technology — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.