Brokerage Giant Charles Schwab Rolls Out Spot Crypto Trading To Retail Investors

bitcoinistОпубліковано о 2026-05-14Востаннє оновлено о 2026-05-14

Анотація

Charles Schwab has officially launched its spot crypto trading platform, Schwab Crypto, to a select group of retail investors in the US, excluding New York and Louisiana. The service allows direct trading of Bitcoin (BTC) and Ethereum (ETH) with a 75-basis-point fee, linked to clients' brokerage accounts. Schwab Premier Bank will serve as custodian, with Paxos handling trade execution. The firm plans to add more assets and transfer capabilities. This move expands Schwab's offerings beyond indirect crypto investment products. It follows a trend of major institutions entering the space, as Morgan Stanley also recently launched a crypto trading pilot on its E*Trade platform with a 50-basis-point fee, aiming for wider rollout later this year.

Brokerage and banking firm Charles Schwab officially began rolling out its crypto trading platform to retail clients in the US, joining the list of traditional financial institutions expanding their digital asset offering.

Schwab Launches Spot Trading For BTC, ETH

On Tuesday, the $11.7 trillion brokerage giant Charles Schwab revealed that it officially launched its spot digital asset trading platform, Schwab Crypto, to a select group of retail customers.

According to the X announcement, the first group of clients can trade Bitcoin (BTC) and Ethereum (ETH) directly on its platform alongside their other digital asset-related investment products.

The crypto trading platform is available in all US states, excluding New York and Louisiana, and will charge a 75-basis-point fee on the dollar value of each trade, which is among the lowest in the industry.

Last month, the firm revealed the platform would be introduced in phases, starting with an internal employee pilot, moving to a client waitlist, and then opening to eligible customers throughout the rest of 2026.

As reported by Bitcoinist, the company explained that Schwab clients will maintain separate accounts under the new platform, which will be linked directly to their brokerage accounts.

Notably, Charles Schwab Premier Bank (CSPB) will serve as the custodian for customers’ assets, handling safekeeping and record-keeping. Meanwhile, blockchain infrastructure provider Paxos will handle trade execution and sub-custody, using a federally overseen trust model and enterprise-grade technology

The brokerage giant also revealed plans to add additional digital assets to the platform and introduce transfer capabilities for both deposits and withdrawals, allowing clients with existing digital asset investments to bring them to Schwab alongside their other accounts.

Jonathan Craig, Head of Retail Investing at Charles Schwab, previously noted that with Schwab Crypto, the firm seeks to allow clients who want direct access to the asset class to benefit from the service, educational resources, and research tools they expect from the company.

Traditional Institutions Expand Crypto Offerings

This move marks a major expansion from Schwab’s previous digital asset-related offerings, which included indirect exposure to investments through spot crypto Exchange-traded products (ETPs), futures, options on spot crypto ETPs, crypto-related ETFs, and mutual funds that invest in the broader digital asset ecosystem. Schwab clients hold approximately 20% of spot crypto ETPs, the firm noted.

Moreover, the launch comes as major banks and brokerages race to add digital‐asset products and integrate crypto into mainstream investing, with several firms expanding retail digital asset offerings in recent years.

Last week, Wall Street behemoth Morgan Stanley also launched a crypto trading pilot on its E*Trade platform to a limited number of users, seeking to challenge major players, including Schwab, with competitive pricing.

The banking giant is charging E*Trade users a 50-basis-point fee on the transaction value, placing its prices below Robinhood’s 95 basis points, Coinbase’s 60 basis points, and Schwab’s 75 basis points.

While the pilot is currently available only to a limited group, Morgan Stanley expects to expand access to all of E*Trade’s 8.6 million clients later this year. The bank’s executives are reportedly preparing an offering to directly convert digital assets into shares of ETPs without selling the assets, and planning to add the ability to trade tokenized equities in the second half of 2026.

Jed Finn, Morgan Stanley’s head of wealth management, affirmed that the launch is “much bigger than trading crypto at a cheaper rate,” explaining that their strategy is “disintermediating the disintermediators.”

The total crypto market capitalization is at $2.63 trillion in the one-week chart. Source: TOTAL on TradingView

Пов'язані питання

QWhat is the name of the new crypto trading platform launched by Charles Schwab and which two major cryptocurrencies can users trade on it?

AThe new platform is called Schwab Crypto. Users can trade Bitcoin (BTC) and Ethereum (ETH) directly on the platform.

QWhat is the trading fee charged by Charles Schwab on its Schwab Crypto platform, and how does it compare to competitors like Coinbase and Morgan Stanley?

ACharles Schwab charges a 75-basis-point (0.75%) fee on the dollar value of each trade on Schwab Crypto. This is higher than Morgan Stanley's 50 basis points but lower than Coinbase's 60 basis points for its users.

QWhat two US states are currently excluded from accessing the Schwab Crypto platform?

AThe Schwab Crypto platform is available in all US states, excluding New York and Louisiana.

QWhat are the roles of Charles Schwab Premier Bank (CSPB) and Paxos in the operation of the Schwab Crypto platform?

ACharles Schwab Premier Bank (CSPB) serves as the custodian for customers' assets, handling safekeeping and record-keeping. Blockchain infrastructure provider Paxos handles trade execution and sub-custody.

QWhat is the stated strategic goal of Morgan Stanley's crypto launch on E*Trade, according to Jed Finn, its head of wealth management?

AJed Finn stated that the launch is 'much bigger than trading crypto at a cheaper rate,' explaining that their strategy is 'disintermediating the disintermediators.'

Пов'язані матеріали

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit8 хв тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit8 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit12 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit12 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit12 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit12 хв тому

Торгівля

Спот
活动图片