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Toshi Tools Launches AI-Driven Crypto Market Data App

Toshi Tools, a DeFi-focused blockchain data gathering platform, has released a market data app targeting the cryptocurrency trading community. The team behind the platform says they are releasing it to supply crypto traders with simplified yet useful crypto trading resources. Its goal is to simplify investing for everyone by giving users the tools they need to deal with the complexities of the cryptocurrency markets. A question-and-answer session hosted by Binance on March 25 will provide an introduction to the platform for those unfamiliar with it.

Using AI to simplify complex market data

Toshi Tools promises to help users in making sense of data, giving them vital insight into cryptocurrency markets at a time when information overload is prevalent in the crypto sector. In order to let users track their own trades and keep tabs on the smart money, the app provides a real-time wallet-tracking solution. Each day, the app ranks the best-performing cryptocurrency wallets by ID.

By employing the AI-driven GPT-3 machine learning technology, Toshi Tools helps crypto enthusiasts cope with the vast amount of available data. The app can now do on-chain analysis without any human intervention at all, thanks to the incorporation of GPT-3 into the system.

Toshi Tool’s utility token ($TOSHI) is an integral part of its ecosystem. By requiring users to burn $TOSHI tokens to proceed to the next tier on the platform, a deflationary framework is established. When more people join Toshi Tool’s utility ecosystem, the tokens already in circulation will be burned to increase their value.

Tier 1 wallet holders, those who control at least 0.4% of the $TOSHI token supply, will be the first to receive the Toshi Tools app. To access the first tier of wallets, individuals must hold 0.4% of the total $TOSHI supply.

The incorporation of Open AI’s GPT-3 machine learning into the platform will further improve the application through the use of artificial intelligence (AI). With GPT-3’s help, users can analyse massive amounts of data and develop a model tailored to their unique trading/investment needs.