DigiToads, a DeFi , NFT and P2E project, has announced that it will soon be trading on the BitMart platform. DigiToads is a memecoin that features a staking platform, a play-to-earn game, and NFTs incorporated into its ecosystem, and its pre-sale has already brought in over $1.35 million. Leveraging on the successful presale raise that provided significant discounts for early investors, the project aspires to be a top ICO. In addition, since there is no vesting requirement, holders can trade their TOADS whenever they see fit.
DigiToads combines NFT technology with a Play-2-Earn gaming concept, and its ecosystem and TOADS sale cycle reflect this. In the Toad-Cade, users can compete in Toad battles and Toad breeding contests, with the end-of-season prize pool funded by 50% of revenue generated from in-game item sales. Individuals can own toads, and also profit from their NFTs, making DigiToads one of the meme projects worth investing in this year.
DigiToads also has two ground-breaking new ideas that will propel rapid expansion of your treasury. The first is the Toad School, which offers a training for TOAD holders on how to trade. TOADS holders will be able to put their skills to the test and contribute to the development of the DigiToads protocol once the decentralised exchange, The Trading Post, is live.
The second feature is the Platinum Toad. Platinum toad holders will have access to 10% of trading earnings and 1/12th of the TOADS treasury. Twelve of the best traders in the Toad ecosystem will be awarded Platinum Toads in a series of on-chain trading competitions.
As soon as DigiToads goes live, presale investors will have immediate access to their funds and will no longer be subject to any vesting requirements. With this listing, BitMart Exchange hopes to provide DigiToads to a larger audience and increase its liquidity. In addition, potential investors could track the presale’s development as the TOADS token’s price rose with each subsequent stage, eventually topping out at $0.055 per token. The top 25% of players will earn an allocation, so your dedication and skill will be recognised.
This post was last modified on %s = human-readable time difference 18:08