Counos X - The roadmap of Counos X will be updated within six months. When this update takes place, the Counos Platform will add many practical and useful features to Counos X. When such features are added to the CCXX Blockchain, many applications will be added to this coin, making it even more valuable than before.
NeuronX (NXBT)
摘要
| 类型: | Pre-ITO | |
| 类别: | 人工智能 | |
| 驗證: | 否 | |
| 白名单: | 否 | |
| KYC: | 是 | |
| 筹资目标 (软上限): | 1 000 000 USD | |
| 筹资目标 (硬上限): | 20 000 000 USD | |
| 代币量: | 200 000 000 NXBT | |
| 代币价格: | 1 NXBT = 0.0005 ETH | |
| 空投计划: | 否 | |
| 赏金计划: | 否 | |
| 托管支付: | 否 | |
| 产品原型: | 是 | |
| 白皮书: | 打开 | |
| 货币: | ETH | |
| 平台: | Ethereum | |
| 代币类型 : | ERC20 | |
| 类型: | 实用代币 | |
| 地点: | 爱沙尼亚 | |
| 网站: | https://neuronx.io | |
| 链接: |
描述
NeuronX at the time of the start of ITO is an information and analytical platform that provides reliable information and trading recommendations on cryptocurrency pairs for the most popular cryptocurrency exchanges. In the future, we are not just a service with analytics, we are an ecosystem for combining completely different analytical algorithms with potential clients (traders). The ecosystem will be fully decentralized and regulated by the community.
资金信息
| ● | Equipment and service | 25.00% |
| ● | Marketing | 20.00% |
| ● | Research and implemantation of new tools | 20.00% |
| ● | MVP Costs | 15.00% |
| ● | Expansion of the development staff | 10.00% |
| ● | Legal expenses | 8.00% |
| ● | Overhead costs | 2.00% |
媒体
路线图
01.01.2018 Development of the concept and architecture of the platform.
01.07.2018 Alpha-version of the analytical platform, closed testing finalization.
01.08.2018 Launch a promo-version of the analytical platform.
01.10.2018 Implementation of 10 cryptocurrency pairs of the Binance exchange.
01.11.2018 Introduction of new Alfor canle prediction.
01.12.2018 Introduction of Alto filter false signals.
01.01.2019 Integration with exchanges
01.02.2019 Creating a public API for third-party AI developers.
01.03.2019 Public launch
01.04.2019 Launch of DSOF.
团队
统计
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