According to the announcement from Binance, the platform will launch the October Referral Tournament from 2026-10-01 00:00 (UTC) to 2026-10-31 23:59 (UTC), giving eligible users two ways to earn token vouchers through referrals and onboarding activity. Under Promotion A, users who invite new participants with a Referral Pro Link or ID can earn Referral Points when referred users complete specified onboarding milestones, including fiat top-ups, Convert or Spot trading, bStocks trading, and Futures trading. Referral Points will determine leaderboard rankings, with rewards of up to 1,000 USDC in token vouchers for top-ranked eligible referrers. The leaderboard rewards are structured across multiple tiers, including 1st Place at 1,000 USDC, 2nd Place at 800 USDC, 3rd Place at 600 USDC, and additional rewards for 4th through 20th places. Binance said the leaderboard will be updated daily, and the final ranking after risk checks will be confirmed by 2026-11-02. Milestone Rewards will also be available on a first-come, first-served basis for eligible referrers who reach the required point thresholds, with rewards of 80 USDC, 30 USDC, or 10 USDC depending on the quota and points accumulated.

Promotion B will offer new users who register through a participant’s Referral Pro Link or ID the chance to receive token vouchers after completing required onboarding tasks during the Promotion Period. Eligible new users must log in to the Binance App, complete a fiat top-up, and reach at least 100 USD equivalent in Convert and/or Spot trading volume. The first 5,000 eligible new users who complete the required tasks and claim the reward on the activity page will receive a reward valued between 2 USDC and 10 USDC, while the first 1,000 eligible new referrals who also complete at least 1,000 USD equivalent in bStocks trading volume will receive an additional 5 USDC token voucher. Binance said rewards for Promotion A and Promotion B will be distributed by 2026-11-20 after the promotions end, and token vouchers will be valid for 14 days from distribution.