added streaming_indicators

wilsonfreitas · Apr 4, 2024 · 0218664 · 0218664
1 parent 4b80bd1
commit 0218664
Show file tree

Hide file tree

Showing 2 changed files with 2 additions and 0 deletions.
diff --git a/README.md b/README.md
@@ -73,6 +73,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [Tulipy](https://github.com/cirla/tulipy) - Financial Technical Analysis Indicator Library (Python bindings for [tulipindicators](https://github.com/TulipCharts/tulipindicators))
 - [lppls](https://github.com/Boulder-Investment-Technologies/lppls) - A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model.
 - [talipp](https://github.com/nardew/talipp) - Incremental technical analysis library for Python.
+- [streaming_indicators](https://github.com/mr-easy/streaming_indicators) - A python library for computing technical analysis indicators on streaming data.
 
 ### Trading & Backtesting
 - [skfolio](https://github.com/skfolio/skfolio) - Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.

diff --git a/site/index.qmd b/site/index.qmd
@@ -64,6 +64,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [Tulipy](https://github.com/cirla/tulipy) - Financial Technical Analysis Indicator Library (Python bindings for [tulipindicators](https://github.com/TulipCharts/tulipindicators))
 - [lppls](https://github.com/Boulder-Investment-Technologies/lppls) - A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model.
 - [talipp](https://github.com/nardew/talipp) - Incremental technical analysis library for Python.
+- [streaming_indicators](https://github.com/mr-easy/streaming_indicators) - A python library for computing technical analysis indicators on streaming data.
 
 ### Trading & Backtesting
 - [skfolio](https://github.com/skfolio/skfolio) - Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.