Binance has announced updates to its Spot Altcoin LiquidityBoost Program, which involves the addition of new altcoin pairs, the removal of others, and revisions to maker rebate tiers and timelines. These changes aim to improve liquidity.
According to Binance’s support announcement, the Altcoin LiquidityBoost Program is a specialized initiative designed to enhance trading depth and execution for altcoin/USDT spot pairs. The program periodically refreshes eligible pairs to target areas of strong market activity, directing liquidity incentives where they are most effective. The exchange describes this ongoing adjustment as part of a broader strategy to ensure tighter spreads, higher volume efficiency, and sustained liquidity performance in volatile markets.
In the latest update, Binance has added several trading pairs including TONUSDT, HAEDALUSDT, HOMEUSDT, INJUSDT, AVAUSDT, PARTIUSDT, LQTYUSDT while removing ONDOUSDT, SYRUPUSDT, SPKUSDT, STOUSDT, SXTUSDT, WCTUSDT, BABYUSDT from eligibility. The qualification window for these new trading pairs begins on October 13th, 2025 at 00:00 UTC. Updated maker rebate rates will take effect on October 21st, 2025 at 00:00 UTC. Binance confirms that all maker rebates are settled in USDT and issued hourly.
Participants in the program are evaluated weekly based on their maker volume contribution across eligible altcoin pairs. To qualify for Tier 1 rebates users must achieve at least 0.5% of the total eligible maker volume for a –0.005% maker fee rebate; Tier 2 requires a 1.0% volume share for a –0.010% rebate. Accounts failing to qualify for rebates over three consecutive weeks will be removed from the program.
Wikipedia provides context on Binance as a global cryptocurrency exchange founded in 2017 by Changpeng Zhao. It offers a wide range of products including spot trading and derivatives services to millions worldwide. Binance ranks among the largest cryptocurrency exchanges by daily trading volume and continues diversifying through initiatives like liquidity programs and blockchain networks.
