Author: TechFlow
Over the past two weeks, the US stock market has entered its busiest period of the year.
Apple, Microsoft, Meta, Amazon…幾乎 every morning, major earnings reports are released.
For global traders, this means the densest window of opportunity of the year.
For traders who are not satisfied with "being right but not making money," compared to traditional brokers, trading US stocks via crypto platforms—which offer freer trading hours, higher execution efficiency, and lower barriers to entry—is increasingly becoming the preferred choice.
As major crypto platforms roll out US stock trading services one after another, all vying for a slice of this pie, a more pertinent question arises:
Everyone is doing it—so what is the core advantage that wins users over?
To explore this question, we had in-depth conversations with three veteran trading KOLs: @BroBean88, @xiadadhaida, and @Rocky_Bitcoin.
Trading US Stocks on CEXs: From "Novelty" to "Routine"
If you are active in the crypto US stock trading community, you have likely already heard these three names.
Rocky (X: @Rocky_Bitcoin), a crypto native who entered the space in 2017, focuses on long-term, multi-asset allocation as a fundamentals-driven player, paying close attention to on-chain asset forms, composability, and global asset allocation within next-generation financial infrastructure.
Bean (X: @BroBean88), a tech-focused trader with a long-term interest in AI. His quant trader background means his trading decisions start with dissecting earnings reports and scanning indicators—every result he gets is another validation of his data analysis model.
In contrast, with 20 years of experience in traditional financial markets and one of the earliest market makers in crypto, Xiadie Haida (X: @xiadadhaida) offers a more cross-disciplinary perspective, frequently sharing market sentiment and trading opportunities driven by macro variables and unexpected events.
All three veteran traders observed similar trends in the US stock market:
First, the rising weight of US stocks in portfolios. Rocky mentioned that his asset allocation follows a "4321" logic: 40% stocks, 30% crypto assets, 20% fixed income, 10% cash. Compared to a year ago, while the stock allocation remains steady at around 40%, the capital deployed into stocks has continued to grow alongside his total investment size. Within that 40%, US stocks have become the absolute dominant component.
Second, trading US stocks on CEXs is transitioning from a "novelty" to a "routine." Xiadie Haida stated that before May 2026, his US stock trading was primarily conducted on traditional platforms, but he has now fully shifted to crypto platforms, particularly Binance, Bitget, and Hyperliquid.
As more and more US stock trading activity takes place on crypto platforms, the most critical question in this migration from old to new systems is: which platform's US stock trading service best understands traders?
As for the answer, three traders with three different trading logics offered varying starting points and priorities—but with notable overlaps.
From Old Logic to New Systems: An Upgrade in "Time, Capital, and Information" Efficiency
As someone obsessed with dissecting data logic, Bean has extended this methodology to evaluating US stock trading platforms.
In his view, a superior US stock trading platform must pass three core benchmarks:
- Execution speed: when a stock moves sharply up or down, faster execution directly translates to better fill prices;
- Liquidity: order book depth determines the degree to which your actual fill price is eroded;
- Trading costs: explicit commissions plus implicit currency conversion spreads together constitute the true fee burden.
Applying this evaluation framework to current CEX US stock trading:
On the execution side, leading platforms including Binance, OKX, Bitget, Bybit, and Kraken all have matching engines designed for high-concurrency trading, with core matching latency ranging from tens of milliseconds to single-digit milliseconds, or even lower.
In terms of liquidity, a recent DeFiLlama report conducted a horizontal assessment of liquidity performance across mainstream platforms including Binance, Bitget, Kraken, Bybit, Gate, Hyperliquid, and Ondo Finance. In the liquidity benchmark tests across five stock spot markets—MSTR, SPY, QQQ, CRCL, and NVDA—Bitget achieved the tightest spreads on rNVDA, rSPY, and rMSTR, and also demonstrated the deepest order book liquidity across all sampled markets. For the other two tickers, Gate's xStock had the tightest spread on QQQ, while Binance's bStock had the tightest spread on CRCL.
Beyond the metrics, Bean, a self-proclaimed "data-sensitive" trader who believes "details determine success," has also paid extra attention to the information tools offered by each platform. Bean explains:
Some AI-related market moves are often triggered by specific news catalysts—for example, if Gemini releases a breakthrough model, Google's stock price could see an unexpected short-term surge. This type of information is extremely important for investors.
Therefore, among the US stock trading services offered by crypto platforms, many product designs aimed at breaking down information barriers have led Bean to believe: the people building these products are not just following the market—they have likely traded US stocks themselves, because they truly understand the decision-making logic of AI-focused traders.
Taking Bitget's millisecond-level real-time quotes and extensive news feed as an example, Bean also shared that in addition to using his own information-scraping and analysis tools, he frequently uses Bitget to assist with information aggregation and strategy formulation.
On July 22, 2026, Tesla released its earnings after market close, with Q2 operating profit coming in below market expectations. Tesla's stock fell nearly 30% in two days. Well-prepared, Xiadie Haida executed a short position on Bitget immediately when the report was released (in the early morning of July 23, Beijing time), perfectly avoiding the losses.
During the past two weeks of earnings season, scenarios like this played out in his account almost daily.
In Xiadie Haida's view, US stocks are easier to trade than A-shares because the market reacts more sensitively to news. The key lies in how quickly you can react when market data transmits a signal.
Xiadie Haida admits that he was initially drawn to trading US stocks on crypto platforms for the convenience—using USDT directly without the friction of cumbersome registration and fiat conversion processes required in traditional finance—but the freer trading hours are the core reason he made a complete switch to crypto platforms:
Escalating tensions in the Middle East, earnings releases, Trump tweeting in the middle of the night… when signals occur during market closure, he knows he cannot afford to wait a single second.
Most platforms, including Binance, Bybit, and Bitget, offer 24/7 trading for tokenized US stocks, while real US stocks cover regular hours + pre-market/post-market + overnight sessions across the full timeline, better enabling traders to respond to unexpected signals without waiting for the next opening bell.
This is not just Xiadie Haida's personal observation: according to official Binance data, in July, over 62% of bStocks trading volume occurred outside traditional trading hours. Bitget's rToken shows a similar trend, with more than one-third of trades executed during traditional US market closure hours, reflecting strong demand for US stock trading beyond regular session hours.
Building on this, another of Xiadie Haida's priorities is the breadth of asset coverage: everyone is watching the popular US stocks, but opportunities don't always occur in just a handful of tickers.
