CRMG: Salesforce (CRM) AI Momentum Delivers +58% Gains Over 30 Days

Key Takeaways

• CRMG, a 2x daily leveraged single-stock ETF tied to Salesforce (CRM), climbed roughly 58% over the past 30 days.
• The advance was concentrated around a single catalyst: Salesforce's fiscal Q2 2027 results and its new "Claudeforce" AI partnership with Anthropic, which pushed CRM up about 22.6% in one session.
• Because the fund resets its 2x exposure daily, that underlying surge translated into a one-day gain of roughly 44% for CRMG.
• Over the trailing three months, CRMG rose approximately 67%, recovering sharply from a mid-year trough as Salesforce staged a powerful rally.
• With a 0.78% net expense ratio and exposure achieved almost entirely through total-return swaps, CRMG is highly volatile and built for short-term trading, not buy-and-hold positioning.

CRMG Structure and How It Tracks Salesforce

CRMG is an actively managed, non-diversified leveraged ETF that seeks to deliver 200% (2x) of the daily price performance of Salesforce (CRM) common stock, before fees and expenses. Rather than holding shares directly, the fund obtains its exposure through total-return swaps on Salesforce, with the remaining portfolio held as cash and U.S. Treasury money-market collateral. In practice, its roughly six reported positions consist of several Salesforce swap agreements plus cash offsets, producing net long equity exposure near 196%.

The fund carries a net expense ratio of 0.78% and is a comparatively small product, with assets under management (AUM) in the tens of millions of dollars. Its daily reset feature is central to understanding its behavior: the 2x multiple applies to a single day's move and is rebalanced each session. Over multi-day holding periods, compounding and volatility can cause returns to diverge meaningfully from two times the underlying stock's cumulative performance. This structure explains why a one-day, roughly 22.6% rally in Salesforce translated into an outsized single-day move in CRMG, and why the fund's longer-term path is highly sensitive to the timing and magnitude of each day's fluctuations. I also checked this using Tickeron’s AI Screener to see how the fund compares to other leveraged products in the space.

CRMG Price Performance Over the Past 30 Days and Quarter

Measured on adjusted closing prices, CRMG rose from about $5.94 to roughly $9.39 over the trailing 30 days, a gain of approximately 58%. The move was not gradual. The fund traded in a relatively contained range through much of the period before gapping sharply higher in late August, when Salesforce reported earnings. Most of the 30-day gain was captured in a single session, underscoring how event-driven and trend-dependent this leveraged product can be.

Over the trailing quarter, the picture is similarly strong but even more volatile. From a closing level near $5.61 in early June, CRMG advanced roughly 67% to its most recent close. That three-month path included a pronounced drawdown into the mid-June lows, a partial recovery through July, and then a decisive breakout following the late-August earnings catalyst. The fund's quarterly performance therefore reflects a sharp rebound rather than a steady uptrend.

The Catalyst Behind the Recent Move in CRMG

The dominant driver was Salesforce's fiscal Q2 2027 report and accompanying AI announcement. Salesforce delivered revenue of $11.35 billion, up about 11% year over year, and adjusted earnings per share (EPS) of $5.90, far above the consensus estimate of roughly $3.27. Free cash flow rose 81% to about $1.1 billion, and current remaining performance obligations (cRPO) climbed 14% in constant currency. Management also raised full-year guidance, lifting its adjusted EPS outlook materially.

Equally important was the strategic news. Salesforce unveiled "Claudeforce," a deepening of its partnership with AI developer Anthropic that integrates Claude's reasoning capabilities into Salesforce's customer data and workflows. The company also reported that Agentforce and Data 360 annual recurring revenue (ARR) approached $3.9 billion, up more than 210% year over year, with Agentforce ARR exceeding $1.5 billion. The combination of a beat-and-raise quarter and a clearer AI monetization story drove CRM up roughly 22.6% in a single session — its largest one-day gain in years — and, through CRMG's 2x daily leverage, produced a correspondingly amplified move in the fund.

Quarterly Trends and the Broader AI Rotation

The three-month trend reflects a broader rotation in the software and AI theme. Salesforce entered the period under pressure, weighed down by concerns that generative AI could disrupt traditional software vendors. Those fears drove CRM and, in turn, CRMG to multi-month lows in June. Sentiment began to stabilize in July as evidence of AI-related demand accelerated, and Salesforce's earnings report ultimately reframed the narrative from "AI disruption risk" to "AI monetization opportunity."

Underlying fundamentals supported the turnaround: expanding gross and net margins, stronger free cash flow, disciplined share buybacks, and accelerating cRPO growth. For a leveraged single-stock vehicle such as CRMG, these longer-term shifts matter only insofar as they shape the daily price moves of the underlying equity — but the quarter's net gain is a direct reflection of Salesforce's recovery and the market's re-rating of enterprise-software leaders with visible AI traction. From what I see, this kind of narrative shift often shows up clearly when screening for momentum in the sector.

Key Factors to Watch for CRMG Going Forward

Several factors will likely shape CRMG's path in the coming months. The most direct is Salesforce's fundamental execution: continued growth in Agentforce and Data 360 ARR, the progression of cRPO, margin expansion, and the early adoption of Claudeforce following its broader rollout. Salesforce's forward guidance and any commentary on enterprise AI spending will be closely watched at future earnings reports.

On the macro side, interest-rate expectations and equity-market risk appetite remain relevant, because valuations for high-multiple software names and the daily volatility that drives a leveraged ETF are both sensitive to shifts in rates and sentiment. Investors should also account for the structural risks unique to CRMG, including volatility decay from daily resetting, the costs embedded in swap financing, concentration in a single underlying stock, and the fund's relatively modest AUM and liquidity. These characteristics make the product most suitable for experienced traders with short holding periods and a high tolerance for loss, rather than long-term investors seeking diversified equity exposure. I'm watching this closely because the daily reset can create significant divergence over longer periods.

Integrating Tickeron’s AI Screener Into My Workflow

When analyzing leveraged products like CRMG, I often turn to Tickeron’s AI Screener to quickly surface comparable ETFs and single-stock vehicles based on volatility, momentum, and sector filters. It helps me cross-check technical patterns and performance metrics without manually sorting through dozens of names. In this case, it confirmed how CRMG’s daily reset and swap-based structure set it apart from broader leveraged equity products. The platform’s AI signals and industry breakdowns give a clearer view of where these instruments sit relative to peers, which is useful when volatility is this elevated.

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.

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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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