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Investors Shift Focus to Presale Coins Avorak AI (AVRK) and TMS Network (TMSN) as Litecoin (LTC) is Sold Off

The cryptocurrency market has seen a lot of volatility in the past few weeks, with the price of Litecoin (LTC) dropping significantly. Investors have been looking for alternative investments to make up for the losses incurred from the sell-off of LTC, and many have shifted their focus to presale coins Avorak AI (AVRK) and TMS Network (TMSN).

Avorak AI is a blockchain-based artificial intelligence platform that is designed to enable users to create, deploy, and manage AI applications. It is powered by a native token called AVRK, which is used to pay for services and resources on the platform. The AVRK token is currently available for presale, and investors can purchase it at a discounted rate.

TMS Network is a blockchain-based platform that enables users to securely store, transfer, and trade digital assets. The platform is powered by a native token called TMSN, which is used to pay for services and resources on the platform. The TMSN token is also available for presale, and investors can purchase it at a discounted rate.

Both AVRK and TMSN are promising investments for those looking to diversify their portfolios and make up for losses incurred from the sell-off of LTC. Both tokens are backed by strong teams and have the potential to increase in value as the platforms gain traction. Furthermore, both tokens are available for presale at discounted rates, allowing investors to get in early and benefit from potential price appreciation.

In conclusion, investors who are looking to diversify their portfolios and make up for losses incurred from the sell-off of LTC should consider investing in presale coins Avorak AI (AVRK) and TMS Network (TMSN). Both tokens are backed by strong teams and have the potential to increase in value as the platforms gain traction. Furthermore, both tokens are available for presale at discounted rates, allowing investors to get in early and benefit from potential price appreciation.

Source: Plato Data Intelligence: PlatoAiStream

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