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MicroAlgo Inc. (MLGO)

NasdaqCM - NasdaqCM Real-time price. Currency in USD
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2.5900+0.2700 (+11.64%)
At close: 04:00PM EDT
2.5900 0.00 (0.00%)
After hours: 07:59PM EDT
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Trade prices are not sourced from all markets
Previous close2.3200
Open2.3300
Bid2.5500 x 400
Ask2.6100 x 400
Day's range2.3200 - 2.7599
52-week range2.1710 - 156.0000
Volume658,661
Avg. volume1,228,712
Market cap19.722M
Beta (5Y monthly)0.71
PE ratio (TTM)N/A
EPS (TTM)-8.3000
Earnings dateN/A
Forward dividend & yieldN/A (N/A)
Ex-dividend dateN/A
1y target estN/A
  • PR Newswire

    MicroAlgo 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 Newswire

    MicroAlgo 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 Newswire

    MicroAlgo 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