Tradr 2X Long BE Daily ETF (BEX) Gains +51% Over 30 Days on Bloom Energy Rebound

Key Takeaways

• The Tradr 2X Long BE Daily ETF (BEX) seeks daily investment results equal to 200% of the daily performance of Bloom Energy (BE), a fuel-cell and clean-power company.
• BEX rose approximately +51% over the last 30 days, recovering from a closing low near $15.00 to roughly $22.62.
• The rebound follows a steep July drawdown and remains well below the fund's late-June peak, leaving it down roughly 65% over the trailing quarter.
• Primary catalysts include Bloom Energy's record second-quarter results, rising AI data-center power demand, and new customer and financing agreements.
• The fund is a non-diversified, single-stock leveraged product with a 1.30% expense ratio, designed for short-term trading rather than long-term holding.

Tradr 2X Long BE Daily ETF (BEX) Structure and Exposure

The Tradr 2X Long BE Daily ETF (BEX) is a leveraged exchange-traded fund that seeks daily investment results, before fees and expenses, corresponding to two times (200%) the daily performance of Bloom Energy Corporation common stock. Launched in November 2025 and managed by AXS Investments under the Tradr brand, the fund does not seek to achieve its objective over any period longer than a single trading day.

Rather than holding a diversified basket of securities, BEX is a concentrated, single-name product. It maintains leveraged exposure primarily through swap agreements and other derivatives on Bloom Energy, with the remainder of its portfolio held in cash and short-term Treasury collateral. This structure means the fund's entire return profile is driven by one company's share-price moves, magnified daily by leverage. The fund carries a 1.30% expense ratio and is non-diversified, with no meaningful sector diversification beyond the underlying stock. I also checked this using Tickeron’s AI Screener to see how the fund compares to other single-stock leveraged products.

Tradr 2X Long BE Daily ETF (BEX) Price Performance: Last 30 Days vs. Quarter

Over the last 30 days, BEX advanced approximately +51%, climbing from a closing price near $15.00 to roughly $22.62. The move was volatile and uneven rather than a steady trend: the fund whipsawed between sharp single-day gains and losses as investors digested the underlying stock's recovery from a late-July trough.

The broader quarterly picture is materially different. Measured over the trailing three months, BEX is down roughly 65%, having tumbled from a level near $64 in late May to its recent low and only partially retracing. This wide gap between the 30-day and quarterly figures reflects the compounding effect of daily-reset leverage on an extremely volatile underlying security, which can cause a leveraged fund's multi-day returns to diverge sharply from two times the stock's simple move.

What Drove BEX Price in the Last 30 Days

The 30-day advance largely mirrors Bloom Energy's August rebound after a July selloff. In early July, short-seller reports alleging that Bloom understated its reliance on Chinese-sourced scandium oxide pressured the stock, compounding broader volatility across AI-related equities. Bloom disputed the claims as "false and misleading," and the shares subsequently recovered.

Fundamental results reinforced the turnaround. Bloom Energy reported record second-quarter revenue of approximately $1.07 billion, up about 165% year over year, along with non-GAAP earnings per share (EPS) of $0.78 and adjusted EBITDA of roughly $253 million. Management raised full-year revenue guidance to between $3.9 billion and $4.2 billion.

The AI data-center power theme also provided a tailwind. Bloom expanded its agreement with Oracle (ORCL), which allows procurement of up to 2.8 gigawatts of fuel-cell capacity, and added a 300-megawatt deal with cloud-infrastructure provider Nebius. Comments from Nvidia (NVDA) executives on multi-year power bottlenecks underscored demand for Bloom's rapid, on-site "time-to-power" deployment model. A benign inflation print, with July headline CPI near 3.4% and core near 2.5%, also supported risk appetite in growth-linked names. From what I see, these developments align closely with the patterns flagged in Tickeron’s AI Trend Prediction Engine.

What Drove BEX Performance Over the Last Quarter

The trailing-quarter decline reflects a sharp regime change in sentiment toward Bloom Energy and the AI power trade. After rallying through May and June, BEX reached an intraday peak near $84 in late June before collapsing through July as the short-seller allegations, elevated valuations, and profit-taking converged. The fund bottomed near $15 in late July before the August recovery.

Because BEX applies two-times leverage on a daily reset basis, the same volatility that drove the stock's drawdown was amplified in the fund. Over the full quarter, the compounded effect of alternating large up and down days produced a net loss that significantly underperformed a simple two-times multiple of the underlying stock's quarterly return. This behavior is characteristic of leveraged single-stock products during high-volatility periods and explains why the 30-day rebound and the quarterly decline can coexist.

BEX ETF Outlook: What Investors Should Watch Next

The outlook for BEX is inseparable from Bloom Energy's operating trajectory and the durability of the AI data-center power buildout. Key factors to monitor include hyperscaler order flow and backlog conversion, the pace of manufacturing capacity expansion, and whether Bloom can sustain profitability while scaling deliveries. Supply-chain considerations, particularly scandium sourcing, and regulatory developments around individual project permits also carry risk.

On the macro side, interest-rate expectations, inflation trends, and electricity-demand forecasts for data centers will influence sentiment across the AI infrastructure complex. Because BEX resets its leverage daily, investors should also account for volatility decay, the fund's 1.30% expense ratio, and embedded financing costs, all of which can erode returns over multi-day holding periods. The fund is best understood as a short-term tactical vehicle, not a long-term core holding, and its future performance will likely remain highly volatile. I'm watching this closely for any shifts in order momentum.

Research Tools I Rely On

When evaluating leveraged ETFs like BEX alongside the underlying names, I often turn to Tickeron’s AI Screener as part of my routine. It helps scan for technical signals, volatility metrics, and industry patterns that complement fundamental analysis. The platform has become a useful addition to my workflow for spotting how single-stock products fit into broader themes without replacing my own judgment.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

Contributor

Jimmy Landsman|Expert

My name is Jimmy, and I’m a financial analyst focused on identifying compelling opportunities across the ETF market. Each day, I analyze hundreds of ETFs to uncover potential trading and investment opportunities using a broad range of market factors. For short-term trading, I rely heavily on technical analysis, including price channels, momentum indicators, support and resistance levels, trend patterns, and other market signals. At the same time, I dedicate significant attention to evaluating ETFs from a long-term investment perspective. My objective is to build a well-balanced ETF portfolio that combines core investment holdings with more tactical and speculative positions. The goal is to create a portfolio that can participate effectively in market rallies while also remaining resilient during periods of volatility and market corrections.

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