Skip to main content

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.

Project details


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

If you're not sure about the file name format, learn more about wheel file names.

trendvisdata-1.1.4-py3-none-any.whl (33.5 kB view details)

Uploaded Python 3

File details

Details for the file trendvisdata-1.1.4-py3-none-any.whl.

File metadata

  • Download URL: trendvisdata-1.1.4-py3-none-any.whl
  • Upload date:
  • Size: 33.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.1

File hashes

Hashes for trendvisdata-1.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 a595e290501e023b2a0ad2acd702a85853c677840ce189ff9e596b424900cae8
MD5 528932d9cb8a3a6888fa8ec5707fa483
BLAKE2b-256 97917cd002f59630eaa0bd156dc42374ec29791693ea0a42f8bbd1d5c659d926

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page