edtechre / pybroker
Algorithmic Trading in Python with Machine Learning
Why this job: works in the areas we cover, but does not say which job it does
What it does
- A super-fast backtesting engine built in NumPy and accelerated with Numba.
- Easy creation of trading rules and models for executing across multiple instruments.
- Integration of trading signals across multiple time intervals, including daily, weekly, and monthly.
- Access to historical data from Alpaca, Yahoo Finance, AKShare, or from your own data provider.
- Model training and backtesting using Walkforward Analysis, which simulates how the strategy would perform during actual trading.
Get started
pip install -U lib-pybroker- Maintenance
- Active
- Last commit 23 days ago
- Stars
- 3,705
- +33 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.0.2
- Released 23 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 123 merged
- 0 waiting
- Releases
- 53
- 7 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- algotrading
- backtesting
- machine-learning
- python
- trading
- quantitative-finance
- stocks
- framework
- investment
- ai
- artificial-intelligence
- algorithmic-trading
Project record
- JobOther AI tools
- StatusListed
- Commits1,265
- Forks463
- Watching45
- Stars in 28 days+93
- CreatedJan 16, 2023
- First seen by usNov 7, 2026
- CheckedNov 10, 2026