Modern-Portfolio-Theory-and-LSTMs abieth · COMPLETED
A project using deep learning to forecast stock prices and covariance. Uses multiple threads to gather data and optimize portfolio using numerous APIs.
github.com/abieth/Modern-Portfolio-Theory-and-LSTMs · ★ 1 · Forks 0 · Size 1023 KB
SUMMARY
Technologies 6
Scored 6
Observed 6
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 13 files · 52 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
NumPy LIBRARY Depth 58
2 files · PRODUCTION
Requests LIBRARY Depth 54
1 files · PRODUCTION
pandas LIBRARY Depth 58
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2021-01-02
Last commit 2021-01-05
Active months 1
Commits 52