It is a Technical Analysis library to financial time series datasets. You can use to do feature engineering. It is built on Python Pandas library.
Raw data
{
"_id": null,
"home_page": "https://github.com/bukosabino/ta",
"name": "ta",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "technical analysis",
"author": "Dario Lopez Padial (Bukosabino)",
"author_email": "Bukosabino@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/e0/9a/37d92a6b470dc9088612c2399a68f1a9ac22872d4e1eff416818e22ab11b/ta-0.11.0.tar.gz",
"platform": null,
"description": "It is a Technical Analysis library to financial time series datasets. You can use to do feature engineering. It is built on Python Pandas library.",
"bugtrack_url": null,
"license": "The MIT License (MIT)",
"summary": "Technical Analysis Library in Python",
"version": "0.11.0",
"project_urls": {
"Download": "https://github.com/bukosabino/ta/tarball/0.11.0",
"Homepage": "https://github.com/bukosabino/ta"
},
"split_keywords": [
"technical",
"analysis"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "e09a37d92a6b470dc9088612c2399a68f1a9ac22872d4e1eff416818e22ab11b",
"md5": "81a1492a18ecc5011d67ec7afd598bbe",
"sha256": "de86af43418420bd6b088a2ea9b95483071bf453c522a8441bc2f12bcf8493fd"
},
"downloads": -1,
"filename": "ta-0.11.0.tar.gz",
"has_sig": false,
"md5_digest": "81a1492a18ecc5011d67ec7afd598bbe",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 25308,
"upload_time": "2023-11-02T13:53:35",
"upload_time_iso_8601": "2023-11-02T13:53:35.434504Z",
"url": "https://files.pythonhosted.org/packages/e0/9a/37d92a6b470dc9088612c2399a68f1a9ac22872d4e1eff416818e22ab11b/ta-0.11.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-11-02 13:53:35",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "bukosabino",
"github_project": "ta",
"travis_ci": false,
"coveralls": true,
"github_actions": false,
"circle": true,
"requirements": [],
"lcname": "ta"
}