แปลง B-cube.ai BCUBE เป็น Data Network DATA

B-cube.ai is the All-in-one AI-driven Platform for Crypto Traders The quantitative and machine learning- based models generate signals that are then executed on the clients’ connected exchange account. The platform aims to be a global community, marketplace, and educational center for cryptocurrency traders, whether experienced or newcomers. Traders will have all the necessary tools and information on a single platform to trade and maximize their profits while minimizing their risks successfully. It already built a marketplace of crypto trading bots driven by AI, Sentiment Analysis, and Mathematical models, leveraging the latest advances in scientific research thanks to the company's partnership with Université Paris-Saclay, ranked first institution in the world for mathematics (Shanghai ranking 2020). Third-party authors will be allowed to post their bots on the platform, and soon traders will be enabled to build their bots based on existing models. This feature is called ""Build your own AI/ML bot."" It will be possible to build profitable bots accessible to anyone without programming or quant skills through an easy-to-use visual interface. BCUBE also developed a unique profit-sharing Smart Contract, audited by MixBytes(). The BCUBE DEX bot is without any subscription fees: clients pay only when they make profits. Another feature called ""DeFI Stake & Trade"" where profits can be made with staking when there is no opportunity to trade or through trading when there are opportunities on the market. The BCUBE token is the fuel of the BCUBE ecosystem. Staking the required number of BCUBE tokens gives access to free trading signals, bots, education courses, and various. The BCUBE mission is to bring efficient and innovative financial tools to the common man, which were so far reserved to the super-rich people. All this being possible thanks to the combined technology leap of Blockchain, Cryptocurrencies, and AI.

Data Network is a blockchain-based audit and licensing layer for human-contributed AI training data. It aims to let data buyers verify where a record came from, whether its contributor consented to its use, and what licensing and payment terms apply—without making the underlying data public. It is the renamed Story Network.