Uniglo (GLO) Presale Round Two Starts With Both Fantom (FTM) And Solana (SOL) Whales Considering Allocation

The Uniglo (GLO) pre-sale round two is now officially underway, and according to WhaleStats, Fantom (FTM), and Solana (SOL), whales are massively considering the allocation and switching to the new token GLO. Why?

Uniglo (GLO)

Uniglo (GLO) presents itself as a DAO protocol for cryptocurrency investments. GLO token holders possess a portion of a broad portfolio of digital assets, including cryptocurrencies, NFTs, and tokenized real-world goods such as art and collectibles. As DAO, GLO investors are eligible to vote on all decisions on which assets to invest in and when to sell them. Each holder’s effect is proportional to their portion of the circulating supply.

Besides the unique asset-backed vault, Uniglo implements a one-of-a-kind ultra-burn mechanism. A buy-back-and-burn tool utilizes a portion of investment gains to burn GLO tokens. This method encourages early uptake and long-term holding while reducing volatility. The ultra-burn mechanism consists of an automotive burning method that applies to each GLO purchase or sale. More precisely, with the usage of smart contracts, 2% of all sales are immediately sent to the dead wallet and permanently removed from circulation.

Regardless of the market’s direction, these burns consistently decrease the GLO supply and increase its price.

Uniglo is now in presale mode, offering GLO tokens for $0.013 in a private coin offering before the token is listed on exchanges later this year. The whales appear to recognize the potential of GLO, donating their finances to the Uniglo before it ascends into the atmosphere.

Fantom (FTM)

Fantom (FTM) is a quite popular investment option among investors and whales. It is a decentralized smart contract framework using acyclic graphs. DAG networks are specialized structuring tools that record cryptocurrency transactions in a vertices-and-edges format rather than in a blockchain manner. This improves the network’s overall efficiency by making transactions easier to manage and optimize.

Fantom (FTM) is a network that allows users to build NFTs and decentralized applications and provides smart contract solutions, focusing on delivering businesses with high-speed transaction services by slashing the time it takes to conduct a blockchain transaction to only 2 seconds.

The project’s long-term goal is to use rapid DAG technology, which can be more extensively incorporated into the real world, to provide interoperability within larger transaction bodies around the globe. In addition, a brand-new, environmentally friendly infrastructure with real-time authorizations for transactions and data transfer is being developed.

However, considering the FTM’s performance over the months, it is seen as a highly volatile token that fluctuates sharply. Thus, it’s no surprise whales tend to direct their capital toward safer and more reliable investment options like Uniglo.

Solana (SOL)

With a distinctive Proof of Stake consensus mechanism, Anatoly Yakovenko established the blockchain Solana in 2017. The Solana network is focused on delivering rapid processing and high transaction throughput. By using its Proof of History technology, it does this. One of the fastest in the sector, Solana promises to be able to process about 50,000 transactions per second.

The native coin of Solana, SOL, has a limitless supply and is primarily used for transaction fees and staking. The blockchain also uses burning methods. It destroys 50% of the SOL used in each transaction fee to maintain a certain amount of inflation yearly.

However, as a result of Fed concerns, recent hacks, and market-risking trends, Solana has started acting in a pessimistic manner. This might be regarded as the main driver for whales’ consideration of alternate investment strategies.

For More About Uniglo:

Join Presale: https://presale.uniglo.io/register
Website: https://uniglo.io
Telegram: https://t.me/GloFoundation
Discord: https://discord.gg/a38KRnjQvW
Twitter: https://twitter.com/GloFoundation1

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