Home / Market & alternative data
streaming_indicators
Technical indicators computed on streaming data in Python
What it is
A Python library for computing technical analysis indicators on streaming data. Each new data point updates the indicators without recalculating the full series, which suits live market feeds and event-driven trading code. Traders and developers building real-time strategies, such as bots reacting to every tick, are the intended users. For analysing complete historical datasets in one pass, a vectorized pandas-based library can be simpler and faster.
At a glance
Worth watchingOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Developers |
|---|---|
| Used for | Data analysis, Strategy research |
| Markets | Multi-market |
| Stack | Python |
| Learning curve | Easy to start |
| Practical value | Medium practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | Last commit 11 days ago |
GitHub stars, last 30 days
Daily snapshots since 2026-09-28 (up to 30 days): −1 over the period, now 152. Gaps mean no snapshot was taken that day.
A python library for computing technical analysis indicators on streaming data.
Similar tools
Cython-based Python wrapper for the TA-Lib technical analysis library
Portfolio analytics and performance tear sheets for quants
Technical analysis indicators built on Pandas
Technical analysis indicators implemented with pandas
GPT-based news sentiment and reports for financial assets
Financial function library for quantitative analysis in Python