openseries
Tools for analyzing financial timeseries of a single asset or a group of assets. Designed for daily or less frequent data.
Documentation
Complete documentation is available at: https://openseries.readthedocs.io/
The documentation includes:
- Quick start guide
- API reference
- Tutorials and examples
- Installation instructions
Installation
pip install openseries
or:
conda install -c conda-forge openseries
Quick Start
from openseries import OpenTimeSeries
import yfinance as yf
move = yf.Ticker(ticker="^MOVE")
history = move.history(period="max")
series = OpenTimeSeries.from_df(dframe=history.loc[:, "Close"])
_ = series.set_new_label(lvl_zero="ICE BofAML MOVE Index")
_, _ = series.plot_series()
Sample output using the report_html() function
Metadata
Release files for openseries 2.1.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| openseries-2.1.11.tar.gz | 128.1 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| openseries-2.1.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 199.9 kB
Release files / openseries-2.1.11.tar.gz
| Download URL | openseries-2.1.11.tar.gz |
|---|---|
| Size | 128.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | openseries-2.1.11-py3-none-any.whl |
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| Size | 71.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Transparency logSecurity for openseries 2.1.11
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