Data extract and manipulation functions for Trend Visualizer library.
Project description
trendvisdata
Calculate trend strength across various markets.
The library provides methods to:
- Extract historical OHLC data for futures and cash commodities from Norgate Data and S&P 500 from Yahoo Finance (Norgate Data requires a subscription to the futures package: https://norgatedata.com/futurespackage.php).
- Calculate technical indicators over a range of time periods and aggregate to determine trend strength.
Used to serve data to Frontend applications & removes dependencies on Python graphing libraries present in the trendvisualizer library.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file trendvisdata-1.1.5-py3-none-any.whl.
File metadata
- Download URL: trendvisdata-1.1.5-py3-none-any.whl
- Upload date:
- Size: 37.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5fc533bbedb1e93f2d335fe1cef5ed0dbe7a4609e0f5d1b468172bf68f2cce2a
|
|
| MD5 |
7b71596c5b6b202393b6e229412a795b
|
|
| BLAKE2b-256 |
0777ff6471f6c807e1006145431c912a50c0e08621a0d2e68d95810cd540dc62
|
