Bitget August Transparency Report: Institutional Business Completes Multiple Product and Infrastructure Upgrades
Odaily News, Bitget has released its August 2026 transparency report, disclosing the latest progress in building its multi-asset trading ecosystem. In terms of US stock tokens, taking rNVDA as an example, its single-day trading volume reached $38.5 million, with over 4,200 users completing approximately 112,800 trades. Around 36% of this trading volume occurred outside regular US market hours, reflecting that rToken is becoming a core tool for investors to break through traditional trading time constraints and achieve 7×24-hour global asset allocation.
On the institutional business front, Bitget has launched an institutional-grade CFD liquidity solution targeting quantitative teams, proprietary trading firms, funds, brokers, and high-net-worth professional traders, supporting high-frequency quantitative trading, spot-futures arbitrage, and automated trading scenarios such as EAs. Meanwhile, the platform has listed FCNs (Fixed Coupon Notes), bringing traditional financial structured products into the tokenized US stock market, making it the first crypto exchange to combine the FCN structure with USDT settlement and US stock rToken delivery. As related products and trading infrastructure continue to improve, Bitget is further strengthening its capabilities in institutional-grade services, multi-asset coverage, and liquidity.
Additionally, third-party data shows that Bitget stands out in terms of liquidity and execution efficiency for tokenized stocks and stock perpetual contracts. In DeFiLlama's liquidity benchmark tests covering five stock spot markets — MSTR, SPY, QQQ, CRCL, and NVDA — Bitget recorded the lowest median bid-ask spread of 0.83 basis points and maintained the deepest order book liquidity across all sampled markets. In execution benchmark tests covering 36 stock perpetual contracts and 8 metal and commodity perpetual contracts, Bitget maintained a deep lead on approximately 90% of trading pairs.
