Binance Plans USDP Trading Delisting And Withdrawal WindDown Amid Market Pressures

Starknet’s Rust-based sequencer upgrade increased capacity from about 30,000 to 220,000 transactions per second, while a planned update will include failed transactions in blocks to reduce wasted sequencer capacity and help address denial-of-service risks.
MicroStrategy’s Class A share count rose from 76 million at the end of the second quarter of 2020 to 314 million by February 2026; its software division also grew 12% in the first quarter of 2026, partly offsetting treasury-related operating costs through its Mosaic AI infrastructure layer.
Binance’s USDP delisting leaves holders with a September 24 deadline to use Binance Convert, after which withdrawals become the main exit route; only about $29 million of USDP remains in circulation.
Bitcoin fell below $78,000 after U.S. producer prices rose 5.4% year over year in August, with diesel prices up 24.1%; the market subsequently recorded roughly $409 million in liquidations.
Kaspa recently surpassed a $1 billion market capitalization after rebounding from roughly $0.025 to near $0.04, but its longer-term prospects depend on building independent demand rather than relying primarily on its historical price correlation with Bitcoin.
Binance is delisting Pax Dollar (USDP) and forcing holders to convert or withdraw their assets by September 24, 2026, Crypto News. The move reflects shrinking stablecoin liquidity and regulatory pressure reshaping the crypto market. With only about $29 million in USDP still circulating, the delisting underscores how exchange decisions can quickly obsolete digital assets.
Starting September 24, USDP holders can no longer trade on Binance. Crypto News reports users must convert their holdings using Binance Convert before that date. After the deadline, withdrawal becomes the primary exit route. This two-step process leaves little room for delays or missed deadlines.
The delisting mirrors broader regulatory tightening around stablecoins. With $29 million USDP remaining in circulation, liquidity is already thin. Holders face slippage risks if they wait too long to exit. Exchange delistings have become common as platforms reduce exposure to less-traded or regulated assets.
Bitcoin fell below $78,000 after U.S. producer prices jumped 5.4% year over year in August, with diesel costs up 24.1%, Crypto Insider Media. The market recorded roughly $409 million in liquidations as traders closed losing positions. Higher energy costs and rising Treasury yields both weigh on crypto valuations.
Upcoming Federal Reserve meetings add uncertainty. Market participants worry the Fed may shift policy or hold rates steady longer than expected. These macro headwinds have pushed Bitcoin into a consolidation phase, breaking the bullish momentum that defined earlier 2026.
Decrypt reports Starknet's Rust-based sequencer upgrade boosted capacity from 30,000 to 220,000 transactions per second. A planned follow-up will include failed transactions in blocks, reducing wasted capacity and addressing denial-of-service risks. zkSync Era currently leads in transaction affordability, but Starknet's gains are narrowing the gap.
Both networks pursue different scaling strategies. Starknet emphasizes throughput and security. zkSync focuses on cost and user experience. This competition drives innovation across Ethereum's layer-2 ecosystem, benefiting developers and traders through lower fees and faster settlement.
MicroStrategy's Class A share count ballooned from 76 million in Q2 2020 to 314 million by February 2026, Proactive Investors. The company funds Bitcoin purchases through equity and preferred-stock offerings. Its software division grew 12% in Q1 2026, but treasury costs eat into profitability.
Falling valuation premiums, substantial debt, and upcoming refinancing needs create mounting pressure. Dividend obligations further strain cash flow. MicroStrategy's strategy works only if Bitcoin appreciates. A prolonged downturn could force the company to liquidate holdings or cut dividends, reshaping its business model.
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