PyPI Stats
hal9000cc

live-trading-indicators

A package for obtaining quotation data from various sources and saving them to a database. Quotes can be quickly extracted and used for calculations and forecasts. It is possible to receive and process data in real time. There are a significant number of ready-to-use indicators. The integrity of the data stored in the database is carefully monitored.
PyPI GitHub
Downloads
Day
18
Week
101
Month
1.1K
Stars
36
Forks
7
Issues
0
Version
1.0.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
80
Popularity
30
Adoption
30
Community
10
How the maintenance status was determined
Last commit
54 days ago
Monthly downloads
1,120
Active
Activity within 30 days
• Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
1,120
Stars
36
Stars per 1k downloads
32.14
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
• Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
14
Month daily avg
37
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
>=3.9
Cutting Edge
Minimum supported version is 3.12 or newer
• Modern
Minimum supported version is 3.9, 3.10, or 3.11
Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
MIT
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
54 days ago
Total releases
29
Releases/year
8.3
Rapid
Last release within 365 days and > 12 releases/year
• Regular
Last release within 365 days
Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
2
Monthly downloads
1,120
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
30
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
28.6%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

No OS data available

Python Versions

No Python version data available

Top Countries

1. CA CA
1

Dependencies

3
6 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
MIT
First Release
November 4, 2022
Last Release
1 month ago
Last Commit
1 month ago
Latest Version
1.0.1
Total Releases
29
Contributors
2
Open PRs
0
Archived
No
Python Versions
3 3.9 3.10 3.11 3.12 3.13 3.14
Wheels
py3
Keywords
trading indicators technical-analysis crypto binance ccxt
Topics
cryptocurrency live-trading trading trading-indicator binance python-library algoritmic-trading finance historical-qoutes stock-indicators technical-analysis bitcoin ccxt etherium indicator python stock-market machine-learning-trading market-data market-data-download
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links