Find big moving stocks before they move using machine learning and anomaly detection
Identify stocks that are likely to change significantly by analyzing unusual trading patterns using machine learning.
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surpriver has 1.9k stars on GitHub. It has been forked 337 times. surpriver is written mainly in Python. It has been in active development since 2020. surpriver is available under the GPL-3.0 license. Its main topics are ai, algotrading, anomaly-detection, finance-application.
Find big moving stocks before they move using machine learning and anomaly detection
surpriver is an open-source project. It is released under the GPL-3.0 license.
Yes. surpriver is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
surpriver is available under the GPL-3.0 license.
surpriver is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.