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Ninepoint Crypto and AI Leaders ETF

Ninepoint Crypto and AI Leaders ETF - October 2025
Key Takeaways
  • Crypto and AI both sold off in November, pulling TKN lower for the month.
  • Active shifts helped manage volatility, including trimming crypto and adding to core AI and compute themes.
  • Multiple macro pressures drove the downturn, from the U.S. shutdown to AI leverage concerns and rate-cut repricing.
  • Crypto is still digesting October’s crash, with extreme fear and softer ETP/DAT demand weighing on prices.

Year-to-date to November 28, the Ninepoint Crypto and AI Leaders ETF generated a total return of 17.05%. For the month, the Fund generated a total return of -12.92%.

Ninepoint Crypto And AI Leaders ETF - Compounded Returns¹ As of November 28, 2025 (Series ETF USD- TKN.U) | Inception Date: January 27, 2021

1M

YTD

3M

6M

1YR

3YR

Inception

Fund

-12.92%

17.05%

-2.53%

21.91%

9.36%

57.13%

15.04%

November proved challenging across both crypto and AI markets, as evidenced by the performance of the two sectoral bellwethers: Bitcoin (-17.0%) and Nvidia (-12.6%). Crypto registering a second consecutive month of relative weakness. Sector attribution reflected the breadth and intensity of the turbulence: Communication was the Fund’s only positive contributor (+86 bps), while Information Technology (-591 bps) and Crypto ETFs (-458 bps) were the primary detractors. Months like this reinforce the value of an actively managed, diversified portfolio spanning crypto and AI. By maintaining multi-theme exposure to what we view as the two most transformational emerging technologies, we believe it enables us to better absorb shocks, moderate drawdowns, and remain well positioned to meaningfully participate in the long-term structural upside.

Source: Ninepoint Partners

Throughout November, we were highly active in managing the Fund to remain defensive during the broad-based technology selloff, which was felt most acutely in the crypto and AI sectors, while also taking advantage of attractive entry points within our investment universe created by the heightened volatility. Recall that in October we materially reduced crypto-related equity exposure, rotated more heavily into AI-focused names, and elevated our cash position. In early November, we further trimmed exposure to crypto exchanges and crypto assets, a decision that proved prudent as the asset class subsequently experienced a meaningful correction. From there, we implemented three core allocation shifts throughout the month. First, we exited select AI companies that we view as structurally disadvantaged, increasingly relying on debt to finance ambitious buildout and investment plans, and increased allocations to our existing high-conviction AI leaders that continue to demonstrate category leadership, strong fundamentals, and championship-level execution. Second, we increased our exchange exposure, not through crypto exchanges, but via leading traditional exchange operators at the forefront of tokenization, prediction markets, and perpetual futures, and that typically benefit from elevated market volatility regardless of direction. Third, we refined and expanded our allocation to high-performance compute and crypto mining equities that provide both Bitcoin and AI compute capacity, given the rapidly growing demand for scalable data-center infrastructure and power. 

Source: Ninepoint Partners

The “K-shaped rally” of October, where traditional markets surged to new highs while crypto materially diverged, proved not to be a one-off anomaly. Investors who view Bitcoin as an early signal for broader markets were vindicated by what unfolded in November: a decisive correction led by high-momentum names across the crypto and AI sectors, with the Nasdaq down 8.5% and Bitcoin down 24.8% at the month’s lows.

Many pundits tried to explain the market downturn by pointing to a single driver, but as each theory was tested and disproven, the market quickly shifted to the next. Ultimately, it became clear to us that the weakness was the result of a confluence of forces rather than a single event. The stage was set by the 43-day U.S. government shutdown, the longest in history, which elevated fiscal uncertainty, delayed key economic data releases, and strained liquidity until it was resolved on November 10. At the same time, sentiment around the AI trade quickly deteriorated. Concerns mounted over accelerating balance sheet leverage, aggressive capex without clear monetization pathways, and a perceived circular revenue environment across leading AI names. Even Nvidia’s earnings print, another beat paired with raised guidance, failed to calm markets. AI names spiked on the release before sharply reversing to the downside, reinforcing that sentiment rather than fundamentals seemed to be dictating price behavior. However, one variable ultimately emerged and appeared to be the decisive driver: rate cut expectations. It was only after dovish Fed communication that markets sharply reversed course, repricing heavily toward a 25-basis point cut in December after previously pricing the cut out. That looked like the catalyst investors had been waiting for. Assets rebounded meaningfully into month end, still closing November in negative territory, but well above the month’s lows.

Having addressed the forces that rattled markets at large, we turn to crypto, which has significantly lagged and raised understandable concerns about what is driving this ongoing disconnect. Again, it’s our view that several distinct factors are contributing to this recent weakness. First, the main contributor is likely the October 10 deleveraging event: the largest flash crash in crypto history, which forced the liquidations of roughly $20 billion in positions. While clearing excess leverage is ultimately healthy and lays a stronger foundation for a next leg higher, the short to medium-term damage is still being absorbed. The market seems to be still working through a post-shock recovery phase, which is effectively a structural hangover. Second, it appears that onchain investors have shifted into risk-off mode and are waiting for the dust to settle. A key indicator is stablecoin dominance, which rose from 8.6% to 10.9% in November despite a net decline in overall stablecoin supply. Capital has not exited the ecosystem; it has simply moved to the sidelines. Sentiment data tells the same story. The Crypto Fear and Greed Index printed a 10 out of 100, signaling excessive fear. For context, sentiment was higher during Liberation Day in April 2025 and even during the FTX collapse in November 2022. Historically, readings at this level have often coincided with market bottoms. Third, demand from the two largest public incremental buyers of crypto over the past two years, ETPs and DATs, has meaningfully cooled. Global crypto ETPs saw $3.2 billion in net outflows in November, the worst redemption stretch since February 2025 during the DeepSeek-driven tech selloff. DATs purchased just $1.8 billion of crypto over the month, down from $3.6 billion in October and a peak of $13.6 billion in July. Not only were DATs buying less crypto, but some became sellers. More importantly, a few DATs started to convert from net buyers to opportunistic sellers, as many now trade at discounts to their underlying crypto NAV. The dynamic is now drawing intense scrutiny toward Strategy, the pioneer of the DAT model and holder of approximately 650,000 BTC (~$60 billion). Its long-standing premium has compressed to near NAV, constraining the historical playbook of issuing equity to finance additional Bitcoin acquisitions. Should the stock trade below NAV, the risk that Strategy follows peers in selling Bitcoin to defend its share price becomes materially more concerning given its substantial holdings. It is worth noting, however, that Strategy has navigated similar stress before. During the last bear market, its premium compressed to NAV following the FTX collapse, and it ultimately recovered, an outcome the bulls now highlight as a potential analog.

To close, this past month has reminded us that sectoral leadership is never linear. Crypto is moving through a reset and consolidation phase, while AI remains firmly in an expansionary cycle, each advancing on its own timeline. Our mandate is not to forecast a single winner, but to participate intelligently and across the full breadth of both innovation arcs, managing risk where appropriate and leaning into areas of durable strength. We remain confident in the long-term trajectory of these technologies and will continue to refine the portfolio in service of that conviction.

Until next month,

Ninepoint Digital Asset Group
A division of Ninepoint Partners LP

Historical Commentary

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  • Ninepoint Crypto and AI Leaders ETF
    Year-to-date to October 31, the Ninepoint Crypto and AI Leaders ETF generated a total return of 34.42%. For the month, the Fund generated a total return of 3.25%.
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  • Ninepoint Crypto and AI Leaders ETF
    Year-to-date to September 30, the Ninepoint Crypto and AI Leaders ETF generated a total return of 30.19%. For the month, the Fund generated a total return of 8.41%.
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  • Ninepoint Crypto and AI Leaders ETF
    Following three straight months of double-digit percentage gains, sectoral momentum across crypto and AI cooled in August, leading to the Fund’s first monthly decline since March
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  • Ninepoint Crypto and AI Leaders ETF
    Building on the momentum established in May and June, sectoral tailwinds across crypto and AI carried forcefully into July, delivering meaningful risk-adjusted returns across the portfolio and reinforcing our high-conviction positioning.
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  • Focused on: Crypto and A.I.
    Alex Tapscott shares his mid-year 2025 commentary, highlighting the explosive convergence of crypto and artificial intelligence. In this update, he explores why the intersection of these two technologies is shaping up to be the most powerful narrative of the year—and what it means for investors, developers, and the broader digital asset ecosystem.
    Cryptocurrencies
  • Ninepoint Crypto and AI Leaders ETF
    After hitting an inflection point in May, the crypto and AI sectors extended their rally in June, driving continued strength across the portfolio. The fund returned 10.71% in June, marking its second-best monthly performance of 2025, behind only May’s 17.33% gain.
    Cryptocurrencies
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  • Ninepoint Crypto and AI Leaders ETF
    Year-to-date to May 30, the Ninepoint Crypto and AI Leaders ETF generated a total return of -8.33%. For the month, the Fund generated a total return of 17.33%.
    Cryptocurrencies
    Web3
  • Ninepoint Crypto and AI Leaders ETF
    Well, that was a fun month. Despite wild gyrations in markets and mounting concerns about tariffs, de-dollarization, Fed independence, and recession risks, stock markets closed out April…flat. In fact, the tech heavy NASDAQ was up modestly, while Bitcoin climbed 10%.
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  • Ninepoint Crypto and AI Leaders ETF
    Year-to-date to March 31, the Ninepoint Crypto and AI Leaders ETF generated a total return of -25.74%. For the month, the Fund generated a total return of -12.16%.
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Effective January 6, 2025 the name of Ninepoint Web3 Innovators Fund was changed to Ninepoint Crypto and AI Leaders ETF. The Fund's investment objective remains unchanged. Effective May 31, 2023 the investment objective and name of Ninepoint Bitcoin ETF was changed to Ninepoint Web3 Innovators Fund. The reported performance is for the Ninepoint Bitcoin ETF to May 31, 2023 and that of Crypto and AI Leaders ETF (formerly Ninepoint Web3 Innovators Fund) after that date.

All returns and fund details are a) based on Series ETF USD shares; b) net of fees; c) annualized if period is greater than one year; d) as at 11/28/2025. 

The rate of return is used only to illustrate the effects of the compound growth rate and is not intended to reflect future values of the investment fund or returns on investment in the investment fund.

The Fund is generally exposed to the following risks: Active Management Risk; Blockchain Risk; Communication Services Companies Risk; Concentration Risk; Cryptocurrency Risk; Currency Risk; Cybersecurity Risk; Derivatives Risk; Disruptive Innovation Risk; Emerging Technologies Risk; Exchange Traded Funds Risk; Foreign Currency NAV Risk; Foreign Investment Risk; Inflation Risk; Information Technology Risk; Liquidity Risk; Market Risk; Regulatory Risk; Securities Lending; Repurchase and Reverse Repurchase Transactions Risk; Series Risk; Small Company Risk; Specific Issuer Risk; and Tax Risk. Additional risks specific to the ETF Series securities include the Absence of an Active Market for ETF Series Risk; Halted Trading of ETF Series Risk; and Trading Price of ETF Series Risk.

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