jo-cho/Technical_Analysis_and_Feature_Engineering
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Appears on
Quick read
Latest capture 2026-10-06 03:12
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
9 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture 0
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
A python library for user-friendly forecasting and anomaly detection on time series.
Machine Learning in Asset Management (by @firmai)
Financial market technical analysis & indicators in Julia
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Feature engineering and selection open-source Python library compatible with sklearn.