peerchemist/finta
Common financial technical indicators implemented in Pandas.
Repository profile
Technical Analysis Library using Pandas and Numpy
Tracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-06-19 22:40
1 capture since 2026-06-19
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-06-19 22:40
requirements-core.txt
python ecosystem,
2 dependencies
requirements-coverage.txt
python ecosystem,
2 dependencies
requirements-doc.txt
python ecosystem,
4 dependencies
requirements-play.txt
python ecosystem,
2 dependencies
requirements-test.txt
python ecosystem,
2 dependencies
requirements.txt
python ecosystem,
0 dependencies
setup.cfg
python ecosystem,
0 dependencies
setup.py
python ecosystem,
2 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Common financial technical indicators implemented in Pandas.
A Python Pandas implementation of technical analysis indicators
Financial Data Extraction from Investing.com with Python
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Portfolio analytics for quants, written in Python
Time series and portfolio analytics for quantitative finance.