RootData Research: 2026 Crypto Stock Market Q4 Outlook Report

Original Author: RootData Research

Summary

From August to October 2026, stock derivatives trading volume on major platforms first declined and then rebounded, while open interest and order book depth continued to expand. Average daily trading volume fell from $23.360 billion in August to $17.041 billion in September, then recovered to $19.809 billion in October, still below the August level.

Binance dominates trading volume and open interest, but has not established an absolute advantage across multiple dimensions such as trading quality, and other major trading platforms also differ in their strengths: OKX ranks second in both trading scale and spread, while Bitget leads in ±2% depth. Market competition is diverging around scale, product coverage, and liquidity.

Tokenized stock spot products show clear product differentiation in trading channels, dividend handling, and information disclosure. The five issuers each have different focuses: Ondo, bStocks, and xStocks lead in asset scale, while Reality has the broadest product coverage and the most diverse execution methods. Industry competition is shifting from expanding coverage to sustained conversion into holdings and trading.

Research scope and methodology: The exchange sample includes Binance, OKX, Bitget, Bybit, Gate, MEXC, KuCoin, and HTX. The research objects are stock and ETF perpetual contracts priced or settled in stablecoins such as USDT and USDC. The tokenized issuer sample includes Ondo, xStocks, bStocks, Reality, and Robinhood Stock Tokens.

1. Market Overview and Demand Structure

In Q3 2026, global stock markets repeatedly adjusted between earnings growth and macro tightening. The Federal Reserve raised rates by 25 basis points to 3.75%–4.00% in September and kept rates unchanged in October, but expectations of another hike in December remain; the rate path is the core variable for Q4. At the sector level, AI storage demand and product price increases supported the performance of storage names such as SNDK and MU; after October, concerns about returns on AI capital expenditure intensified, and volatility in tech stocks increased.

Looking ahead to Q4, the U.S. midterm elections, the Anthropic IPO, and expectations that OpenAI's listing will be delayed until 2027 may continue to affect tech stock valuations and trading hotspots.

Against this backdrop, it is necessary to review the trading scale, competitive landscape, and liquidity of stock derivatives and tokenized stock spot products on crypto trading platforms, and to assess each platform's ability to absorb new listings and event-driven trading demand.

1. Stock Derivatives Market

1.1 Trading Volume Scale and Peaks

From August to October 2026, stock derivatives trading volume across eight major platforms totaled approximately $1.79 trillion, with a daily average of $20.113 billion. Trading was concentrated on leading platforms, with Binance, OKX, and Bitget together accounting for 83.99% of volume.

On a monthly trend, market trading scale contracted in September and recovered in October; average daily volume in October grew 16.24% month-over-month but remained below the August level. In terms of concentration, the combined market share of the top three platforms by volume rose from 81.59% to 87.22%, with trading further concentrating among the leaders.

1.2 Open Interest, ±2% Depth, and Peaks

From August to October, average daily OI across the eight major platforms was approximately $7.843 billion, and combined average daily ±2% order book depth was $1.749 billion. Compared with the volume pattern of first declining and then rising, open interest and order book depth grew continuously, showing more sustained expansion.

In October, average daily OI reached $9.215 billion, up 38.66% from August; average daily ±2% depth reached $2.090 billion, up 45.99%. During the September volume pullback, open interest and order book orders continued to increase, indicating that funds did not exit on a large scale; traders shifted more from short-term turnover to holding positions, and market-making and order supply also continued to expand. The platforms' liquidity base was not affected by the volume contraction, which may have provided support for the October volume recovery.

1.3 Popular Stock and ETF Contracts

In September-October, individual stock trading was concentrated in semiconductors, storage, and leveraged ETFs. SOXL and SNDK ranked at the top among the eight sample platforms with average daily volumes of approximately $2.618 billion and $2.442 billion, respectively, making them the most popular stock assets.

2. Tokenized Stock Spot Market

From August to October, the five major tokenized stock issuance platforms recorded average daily spot volume of approximately $324 million, while stock derivatives on the same platforms averaged approximately $19.947 billion per day, about 61.5 times the spot figure. Stock derivatives remain the primary trading market.

In addition, contract trading is more concentrated. The top three contract platforms by volume—Binance, OKX, and Bitget—together accounted for 83.99%; the top three spot platforms by volume—Binance, OKX, and Gate—together accounted for 78.25%, indicating a relatively more dispersed trading distribution.

However, average daily spot volume reached $364 million in October, up 22.72% month-over-month, recovering faster than the contract market, and the gap in trading scale between contracts and spot narrowed somewhat.

2. Exchange Competitive Landscape

1. Stock Derivatives

From August to October, major platforms led on different dimensions. Binance ranked first in both average daily volume and average OI; Bitget ranked first in average ±2% depth; OKX remained second in both trading scale and weighted spread. MEXC ranked second in OI scale and had the largest number of stock derivatives.

Trading volume, open interest, product coverage, and trading quality each present different competitive dynamics. The following sections analyze each platform's scale, growth, and liquidity performance based on full-period rankings and monthly changes.

1.1 Trading Scale

Trading Volume and Market Share

Trading scale shows clear concentration at the top. From August to October, Binance's average daily volume was $13.128 billion, a 65.27% share; OKX and Bitget ranked second and third with $2.377 billion and $1.388 billion, respectively. MEXC, Gate, and Bybit ranked fourth through sixth, while KuCoin and HTX together accounted for less than 1%.

The recovery pace differed across platforms in October. Bitget ranked first in month-over-month volume growth at 54.85%, while MEXC and Bybit also rebounded. Binance maintained the largest trading scale while its share rose further.

Open Interest Scale and Share

Open interest in stock derivatives is dominated by Binance, whose average OI from August to October was $4.157 billion, accounting for more than half. Bitget, Gate, and MEXC had relatively similar OI shares, all in the 11%–12% range; OKX was at 7.61%, in the middle; Bybit, KuCoin, and HTX had relatively low OI shares in the 0.1%–3% range.

1.2 Trading Quality

Order Book Depth

From August to October, despite lower trading volume and OI scale than Binance, Bitget's average ±2% depth reached $418 million, higher than Binance's $407 million, ranking first among the eight platforms. In addition, Bitget's depth share was 23.90%, with a larger scale of visible orders within the ±2% range, indicating strong competitiveness in order book liquidity provision.

Weighted Spread

Binance and OKX maintained a lead in spreads. From August to October, both had an average daily weighted spread of 0.0115%; Bitget ranked third at 0.018%, and Bybit ranked fourth.

In October, Bitget's and Bybit's spreads narrowed by 16.59% and 18.58%, respectively, improving platform trading costs. Although Binance and OKX saw wider spreads than in September, they still maintained the smallest spreads. HTX had the largest narrowing, but its absolute spread remained significantly higher than other platforms.

2. Tokenized Stock Spot

Among tokenized stock products, AUM (assets under management) reflects the scale of issued assets, while product count reflects coverage. This section compares the coverage, asset scale, trading mechanisms, and corporate action handling of the five product lines based on product information from Ondo, bStocks, xStocks, Reality, and Robinhood Stocks.

The five products have different focuses in asset scale and coverage. Based on the data listed in the table, Ondo, bStocks, and xStocks had AUM of $1.3 billion, $1.2 billion, and $1.0 billion, respectively, leading in capital scale; Reality and Robinhood had AUM of $161 million and $157 million, respectively, following closely. Among them, Reality is characterized by broader coverage, with more than 3,200 assets covered, significantly higher than the other four; Robinhood mainly relies on its own platform's user base for distribution.

Trading channels are also an important differentiator. Reality offers three execution methods: DMA (direct market access, where orders are routed directly to traditional financial trading venues for matching), RFQ (request for quote, where traders obtain quotes from market makers before execution), and on-chain liquidity pools, with liquidity sources covering traditional financial trading venues, Bitget CEX, and on-chain; Ondo and xStocks distribute through multiple CEXs and on-chain channels, while bStocks and Robinhood rely on Binance, the Robinhood platform, and on-chain channels, respectively. The five range from "traditional venues + CEX + on-chain" to a single platform in terms of liquidity sources, and the channel structure directly affects the scope of accessible capital.

In terms of dividend handling, the five form two holding experiences: "cash dividends" and "automatic reinvestment." Reality pays dividends directly to holders in stablecoins, allowing investors to freely use the cash flow; the other four automatically reinvest after-tax dividends, saving manual operations but not providing direct cash distributions. The former is more friendly to investors who need cash distributions.

In terms of information disclosure, Reality has listed reserve attestations issued by an independent third-party CPA, and its reserve transparency has been externally verified; Ondo, xStocks, and bStocks mainly rely on self-disclosure, while Robinhood does not list any reserve attestation arrangements.

In terms of trading hours, all assets of xStocks, bStocks, and Robinhood support round-the-clock trading; the main assets of Reality and Ondo support 7×24 trading, while the remaining assets trade 24 hours a day, 5 days a week, with trading sessions varying by specific asset.

Overall, none of the five products leads comprehensively across all dimensions; the differences are essentially different product approaches: Ondo, bStocks, and xStocks focus on asset scale, deepening their existing base through multiple CEXs or channels such as Binance; Reality has chosen another path, differentiating itself from peers in coverage breadth and mechanism design, with more than 3,200 assets covered, DMA and RFQ in parallel, dividends paid in stablecoin cash, and independent third-party CPA attestations listed. For Reality, it has initially accumulated share through the Bitget exchange channel and offers a trading experience closer to real U.S. stocks, creating its own identity; however, whether product breadth can ultimately translate into sustained trading and open interest still needs to be verified by subsequent data.

3. Q4 Outlook and Competitive Evolution

The U.S. midterm elections are an important observation point for subsequent policy expectations. More worth tracking is how post-election tax, trade, and tech regulatory arrangements advance, and whether companies adjust investment and earnings guidance accordingly. For crypto stock platforms, the ability to continue quoting and maintain reasonable spreads during events will be more differentiating than liquidity rankings during calm periods.

The stock derivatives market has formed different competitive advantages. Binance dominates trading volume and open interest scale, and OKX ranks second in both volume and spread. Bitget ranks first in order book depth and is in the top three on most of the metrics compared here, showing relatively balanced performance.

Platforms expanding products faster also face different trading quality tests. MEXC has the largest number of contracts and ranks second in OI, but sixth in