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Renga NFT Pump – How high can it go?

Renga makes its move.

Renga has seen an explosion in price, with some pundits drawing similarities between it and the early stages of the Bored Ape Yacht Club.

If you’re not in the loop, Renga is a handcrafted collection of 10,000 characters developed by artist Dirty Robot. The NFTs have wider compatibility within the Renga universe. In short, RENGA is the art of storytelling.

Within the last week, the floor price has seen a 3x increase from 0.77 ETH to 2.9 ETH.

Dirty Robot?

Some people may have never heard of Dirty Robot. The team is very strong, with one of the core team members being on Crypto Kitties.

Artist Dirty Robot initially created a collection called ‘Art of Seasons’ and used mystery to ‘tease out’ the project (NFT people eat this up!).

This also means that there’s currently a limited amount of information about what the project is or could be (something that we’ve noticed drives up prices).

While Renga currently has a floor price of around 3 ETH, the art of seasons has a much lower entry price of only 0.38 eth as of the time of writing.

NFT Signal identified the opportunity


The popular NFT signals trading platform NFT Signals identified the signal early on, netting investors a healthy profit.

They use a special technique that involves watching whale wallets to see what whales collectively buy.

The theory is that whales must know how to make money – otherwise, they wouldn’t be whales! The signal was successfully identified on their weekly Twitterspace (You can re-listen to the recording)

For more info on NFT signals, check out:

Website: https://www.nftcrypto.io

Free telegram signals: https://t.me/NFTCrypto_IO

Twitter: https://twitter.com/NFTCrypto_io

 

Saqib Iqbal

Saqib Iqbal

Saqib Iqbal is a market analyst, prop fund trader and mentor, serving the industry with his analysis and educational content since 2011. The author has great exposure to different financial markets and institutions. He's well-known for his day trading reviews and multiple timeframe analysis.