แปลง Buff Doge Coin DOGECOIN เป็น Augur REP

"Buff Doge Coin is the Buff version of Dogecoin. Buff Doge Coin was established because of the popularity of Dogecoin with a purpose to be The King of Memes. Buff Doge Coin has several unique characteristics. One of which is hyper deflationary, where each burn will be double its quantity from the previous burn. The coin burning will be very frequent, so it will burn 100% of the remaining supply of the available Buff Doge Coin. Burning Scheme of Buff Doge Coin: #1st Burn : 1,000,000 #2nd Burn : 2,000,000 #3rd Burn : 4,000,000 #4th Burn : 8,000,000 #5th Burn : 16,000,000 #6th Till the end (Continuing doubling its burn, we will burn trillions of Buff Doge Coin until all the remaining supply is burned). *more details about Burn are in the whitepaper and website. The Buff Doge Coin protocol, according to the white paper, works in the following way: in each trade, the transaction is taxed with a fee of 10%, which is cut in half. • 5% fee = redistributed to all existing holders. • 5% fee is split 50/50 half of which is sold by the contract into BNB, while the other half of the Buff Doge Coin are automatically paired with the previously mentioned BNB and added as a liquidity pair on Pancake Swap. Progress on September 18, 2021, is 4.563 Holders with a market cap of $706.930 and liquidity of $107.838. We have liquidity locked on DXsale to ensure the safety of holders. Some percentage of the developer Buff Doge Coin profit will be donated to the animal shelter and environmental issues, such as forest reconstruction to prevent global warming. It is due to the Interconnection of Everything. When we destroy nature, it will also destroy humans and animals as “We Are One”. If we destroy one part, the other part will also get affected. Thus, some of the developer’s profit will be donated to rescue animal shelters and the environment."

Augur’s Reputation token (REP) คือโทเค็นอีเธอร์เรียมที่ออกแบบมาเพื่อการรายงานและโต้แย้งผลลัพธ์ของเหตุการณ์ในตลาดเพื่อการพยากรณ์ ผู้รายงานจะได้รับผลตอบแทนสำหรับการรายงานผลลัพธ์ของเหตุการณ์ที่ถูกต้อง