Straits Times Index
3,292.93 -3.96 (-0.12%) Nikkei
38,236.07 -37.98 (-0.10%) Hang Seng
18,475.92 +268.79 (+1.48%) FTSE 100
8,213.49 +41.34 (+0.51%) Bitcoin USD
64,023.34 +1,207.63 (+1.92%) CMC Crypto 200
1,359.39 +82.41 (+6.45%)
MicroAlgo Inc. (MLGO)
After hours:
| Previous close | 2.4600 |
| Open | 2.5000 |
| Bid | 2.4000 x 100 |
| Ask | 2.4400 x 200 |
| Day's range | 2.3900 - 2.5000 |
| 52-week range | 2.1710 - 156.0000 |
| Volume | |
| Avg. volume | 1,246,608 |
| Market cap | 18.428M |
| Beta (5Y monthly) | 0.71 |
| PE ratio (TTM) | N/A |
| EPS (TTM) | -8.3000 |
| Earnings date | N/A |
| Forward dividend & yield | N/A (N/A) |
| Ex-dividend date | N/A |
| 1y target est | N/A |
PR NewswireMicroAlgo Inc. Announced a Deep Clustering Algorithm Based on Multi-level Feature Fusion
MicroAlgo Inc. (NASDAQ: MLGO) (the "Company" or "MicroAlgo"), today announced that it developed a deep clustering algorithm based on multi-level feature fusion. Multi-level feature fusion refers to the fusion of different levels of data features to obtain a richer representation of the features and improve the clustering algorithm's ability to understand the data, resulting in better clustering results. In deep clustering algorithms, multiple features are usually used to describe the data, such
PR NewswireMicroAlgo Inc. Developed QSDLT to Provide a More Secure Foundation for Bitcoin and Other Cryptocurrency Systems
MicroAlgo Inc. (NASDAQ: MLGO) (the "Company" or "MicroAlgo"), today announced the quantum shield distributed ledger technology (QSDLT), designed to provide a stronger, more secure foundation for Bitcoin and other cryptocurrency systems.
PR NewswireMicroAlgo Inc. Announced Bitcoin Trading Prediction Algorithm Based on Machine Learning and Technical Indicators
MicroAlgo Inc. (NASDAQ: MLGO) (the "Company" or "MicroAlgo"), today announced a Bitcoin trading prediction algorithm based on machine learning and technical indicators. The algorithm combines deep learning, technical analysis and quantitative trading strategies to provide investors with more accurate and intelligent decision support. By learning and analyzing a large amount of data from the Bitcoin market, the algorithm can better capture the characteristics and patterns of the market and provid
