Celebrate the Lunar New Year with OpenOcean
We’ve entered the new year on the solar calendar, and now it’s time to celebrate once more! This year’s Lunar New Year falls on February 1 and will be the year of the tiger. To celebrate, we’re giving out red envelopes of our own to our loyal traders.
Each time you make a qualified trade on Avalanche, Fantom, or Terra via OpenOcean, you will have the chance to up to $100.
📆Campaign period: 1pm, January 28th, 2022– 1pm, February 11th (UTC)
- Only Fantom, Avalanche, and Terra networks are supported.
- Every swap worth over $200 will be entered into a lucky draw and have a 20% chance to win USDT rewards.
- Every swap worth over $5,000, you will have 100% chance to win USDT rewards.
- To increase your chances of winning, fill out this Google form.
🧧Users will have a chance to win in EACH TRADE:
- $1, $3, $6, $9 USDT and a jackpot of $100 USDT!!!😍
- For those who trade over $5,000, you might not be able to see the rewards earned immediately due to transaction speed and other network related issues. No worries! If you have made a verified and successful trade over $5,000 via OpenOcean, we will run a draw for you and distribute rewards;
- Rewards will be shown on the top right of the trading interface;
- Rewards in USDT.e, fUSDT or UST (for the Terra network) will be distributed to lucky users’ wallet addresses within two to three weeks after the campaign ends;
- OpenOcean reserves the right to cancel or amend any activity or activity rules at our sole discretion.
OpenOcean — the most intelligent CeDeFi aggregator — integrates major DEXes across 14 public chains and a CEX (Binance). OpenOcean’s intelligent routing algorithm optimizes trading for the maximum returns and is free to use! As a CeDeFi aggregator OpenOcean also provides automatic arbitrage trading tools and supports grid trading functions. OpenOcean will soon support cross-chain swaps, aggregate derivatives and launch advanced intelligent wealth management services.
Website | Twitter | Telegram | Telegram Ann | Discord | Github