WiMi Hologram Cloud Inc. (WIMI)
After hours:
| Previous Close | 1.0400 |
| Open | 0.9077 |
| Bid | 0.6548 x 200 |
| Ask | 1.0700 x 200 |
| Day's Range | 0.8300 - 0.9100 |
| 52 Week Range | 0.5600 - 1.8700 |
| Volume | |
| Avg. Volume | 1,448,127 |
| Market Cap | 82.642M |
| Beta (5Y Monthly) | 1.23 |
| PE Ratio (TTM) | N/A |
| EPS (TTM) | -0.6800 |
| Earnings Date | Sep 22, 2021 |
| Forward Dividend & Yield | N/A (N/A) |
| Ex-Dividend Date | N/A |
| 1y Target Est | N/A |
PR NewswireWiMi Hologram Cloud Announced an Identity Management Model Based on Blockchain
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that its R&D team delved into the application potential of blockchain in the field of identity management. The decentralized nature of blockchain as an open distributed ledger offers the possibility of constructing a secure, transparent, and tamper-proof trust management system. Using graph theory and blockchain frameworks, the team proposed a
PR NewswireWiMi Developed a Payment Channel Rebalancing Model for Layer-2 Blockchain
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it developed a layer-2 blockchain payment channel rebalancing model technology. By building an additional protocol layer on top of the main chain, the layer-2 network aims to increase transaction speed and reduce costs without sacrificing the security of the main chain. The payment channel technology, as an implementation of the layer-2 n
PR NewswireWiMi Announced a Secure and Trusted Collaborative Learning Based on Blockchain for IoT
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced a blockchain-based trusted collaborative learning (TrusCL) framework for IoT which is a solution for the privacy-preserving and computational requirements of collaborative learning in AIoT environments. The TrusCL framework is combined with Homomorphic Encryption (HE) and Differential Privacy (DP) techniques, both of which are significant in t
