Bitwise Partners With Coinbase to Launch Self-Custodied Tokenized Stock Portfolios

Bitwise Asset Management has introduced automated investment portfolios built around Coinbase’s tokenized US stocks, aiming to give eligible non-US investors a way to follow model strategies while keeping the tokenized shares in their own non-custodial wallets. The product is designed to pair Bitwise’s portfolio construction with Glider’s automated execution and rebalancing.

In a Tuesday announcement, Bitwise said the portfolios will be deployed using Coinbase’s recently launched tokenized stocks. Glider will handle periodic trade adjustments to keep holdings aligned with Bitwise model portfolios, while users retain control of the underlying tokens.

Key takeaways

• Bitwise’s new automated portfolios rely on Coinbase tokenized US stocks and Glider’s rebalancing automation.
• Eligible investors outside the United States can participate while the tokenized assets remain in their non-custodial wallets.
• The initial lineup offers three strategies, including Mag7X (covering Apple, Nvidia, Microsoft, Tesla, and SpaceX) plus a robotics and AI leaders approach.
• Bitwise charges a 0.15% methodology access fee; trading and Glider platform fees are separate.
• Tokenized listed stocks have grown to $2.49 billion in aggregate value, with 2.25 million holders and $27.28 billion in monthly transfer volume, according to rwa.xyz.

How Bitwise’s automated stock portfolios work

Unlike traditional exchange-traded funds or managed funds where shares are held under a custodian, Bitwise says the tokenized stocks backing these portfolios stay in users’ non-custodial wallets. That custody model is central to the appeal for on-chain investors who want direct control over their assets.

The mechanics, as described in Bitwise’s announcement, split responsibilities between the portfolio designer and the automation layer. Bitwise sets the methodology for each model portfolio, while Glider manages the execution required to rebalance users’ holdings as the model’s target allocation changes. Users follow the preset strategies without having to manually trade each time allocations drift.

For investors, the fee structure is also explicit: Bitwise charges a 0.15% methodology access fee. The announcement clarifies that this cost does not include trading expenses or Glider’s platform fees, which means total carrying costs will depend on how frequently rebalancing occurs and on trading and execution pricing.

First set of strategies: from Mag7X to AI and robotics exposure

Bitwise’s launch begins with three strategies. One of them, Mag7X, focuses on large-cap technology and adjacent leaders. The initial model includes exposure to companies such as Apple, Nvidia, Microsoft, Tesla, and SpaceX.

Alongside Mag7X, the lineup is also described as covering “robotics and AI leaders,” reflecting Bitwise’s approach to selecting and weighting tokenized equities that fit those thematic criteria.

While the announcement confirms the initial holdings for Mag7X by listing the company examples above, it does not provide full allocation weights or portfolio construction rules in the excerpt provided. Investors considering these strategies should therefore review the specific portfolio methodology details associated with each model before subscribing.

Non-custodial equities and the DeFi pathway—plus its risks

Bitwise highlighted one key difference between tokenized stocks and conventional fund holdings: because users keep individual tokens in their own wallets, the assets may be usable in decentralized finance applications. The company said tokenized equities could, in principle, be used for lending or borrowing within DeFi—“subject to the risks of those protocols.”

This matters because tokenization can turn equities into programmable assets, potentially expanding use cases beyond buy-and-hold. However, it also introduces additional exposure points that don’t exist in traditional brokerage models, including smart contract risk, liquidation mechanics, and variability across lending markets.

For investors, the practical question is whether these portfolios are intended to be traded solely as automated stock baskets or whether the non-custodial model is also meant to integrate with DeFi strategies after rebalancing. Bitwise’s statement suggests the door is open, but it does not spell out a specific default DeFi workflow.

Momentum in tokenized equities and the timing with Coinbase’s Base launch

The Bitwise–Glider portfolios arrive shortly after Coinbase’s tokenized US stocks went live on Base. Earlier coverage from Cointelegraph noted that the Base rollout allows eligible non-US users to trade tokenized equities around the clock and to use them across DeFi applications.

That sequence is significant: tokenized equity availability is increasing on-chain, and now automated portfolio management is being layered on top. With Coinbase tokenized stocks acting as the underlying instrument, Bitwise’s approach can be read as part of a broader shift toward “traditional-style” portfolio strategies being implemented through blockchain-based infrastructure.

Separately, market activity indicators for the wider segment also point to growth. According to data compiled by rwa.xyz, tokenized listed stocks total $2.49 billion, up 5.18% over the past month. The same dataset reports 2.25 million holders and $27.28 billion in monthly transfer volume.

For readers tracking this sector, these figures provide context for why new portfolio products can gain traction: liquidity and participation appear to be expanding alongside the availability of tokenized assets. Still, the excerpt does not provide segment-level breakdowns for each issuer or venue, so investors should treat the aggregate numbers as directional context rather than a guarantee of execution quality for any specific portfolio.

As Bitwise and Glider roll out these automated strategies, the key variables to watch are the ongoing rebalancing cadence, total all-in costs (methodology plus trading and Glider fees), and whether the underlying non-custodial tokens will be integrated with more DeFi pathways over time. Equally important will be how reliably the model portfolios track their intended allocations as tokenized equity markets evolve.