The Hairbrush

While trying to think of products that are designed well and are useful, I tried to think of everyday objects that I couldn’t live without. Knowing well enough that finger-combing your hair doesn’t…

Smartphone

独家优惠奖金 100% 高达 1 BTC + 180 免费旋转




CLEARDAO BUYBACK AND BURN SALES PROGRAM

CLH BUYBACK AND BURN SALES PROGRAM IS LIVE NOW

PLEDGE BNB TO BURN CLH AND EARN BURNT-OUT YIELDS AND BONUSES

We are pleased to say that we have initiated the first $CLH burn to Earn (buyback) sales program, In total we have generated approximately $91,401,649.3 in quarterly profits from asset management strategies, and a portion of this profit is dedicated to the buyback.

THE IDEA BEHIND THE BUYBACK PROMO PROGRAM
When CLH token is purchased from the buyback promo program through the secondary market, CLH is automatically burnt which permanently reduces the number of CLH tokens in circulation which achieves a deflationary tokenomics model through the buyback promo program in order to boost liquidity, reduce volatility, and contribute to price appreciation. participants get $CLH burnt-out yields token bonus reward incentive for participating.

Please note that to avoid causing sudden price volatility in the buyback promo program, we set up a mechanism to checkmate such issue.

Participation can only be initiated using the Binance Smart Chain (bep20) contract address.

THIS OFFER IS VALID FOR 9425 BNB

BUY/BURN CLH TO EARN ACCRUED BONUSES

MINIMUM VALUE PER TRANSACTION 10 BNB

MAXIMUM VALUE PER TRANSACTION
9425 BNB

MINIMUM: BONUS PER TRANSACTION: 11%

MAXIMUM BONUS PER TRANSACTION: 49%

PARTICIPATION CAN ONLY BE DONE TWICE PER NODE-WALLET

CLH PURCHASE WITH THE SALES CONTRACT ADDRESS IS AUTOMATED

AFTER PARTICIPATION $CLH AND ALL ACCRUED BONUSES ARE RECEIVED IMMEDIATELY

Regards,

Team CLEARDAO!

Add a comment

Related posts:

My Cards Told Me To Write

And if you really want me to lay it all out there for you — I’m scared, insecure, and have no idea what I’m doing as a human being. I wish I could say this was rare, but it’s more common than…

Enhancing the balcony experience with Design Thinking Process.

Welcome to my first design thinking case study where I focused on improving the balcony experience for my users using the design thinking process. The task was to choose a part of the house and…

How to Overcome Overfitting with Bagged Decision Trees

Sometimes supervised learning algorithms don’t perform well on the data. There could be many causes and reasons for it. The model might be too complex. If a model is too complicated, the model could…