From 5121f9c0b89178dbb6964f4356a83f36c3ff4bf6 Mon Sep 17 00:00:00 2001 From: Franky1 Date: Tue, 26 Aug 2025 22:18:45 +0200 Subject: [PATCH] changed emojis from shortcodes to real ones --- README.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 6fea079bc..16ade8deb 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# TA-Lib :chart_with_upwards_trend: +# TA-Lib 📈 ![Tests](https://github.com/ta-lib/ta-lib-python/actions/workflows/tests.yml/badge.svg) @@ -30,7 +30,7 @@ In addition, this project also supports the use of the [Polars](https://www.pola.rs) and [Pandas](https://pandas.pydata.org) libraries. -## Versions :card_index_dividers: +## Versions 🗂️ The upstream TA-Lib C library released version 0.6.1 and changed the library name to `-lta-lib` from `-lta_lib`. After trying to support both via @@ -41,7 +41,7 @@ feature branches: * `ta-lib-python` 0.5.x (supports `ta-lib` 0.4.x and `numpy` 2) * `ta-lib-python` 0.6.x (supports `ta-lib` 0.6.x and `numpy` 2) -## Installation :floppy_disk: +## Installation 💾 You can install from PyPI: @@ -65,7 +65,7 @@ conda install -c conda-forge ta-lib conda install -c conda-forge ta-lib ``` -### Dependencies :jigsaw: +### Dependencies 🧩 To use TA-Lib for python, you need to have the [TA-Lib](http://ta-lib.org) already installed. You should probably follow their [installation @@ -140,7 +140,7 @@ sudo make install Note: if your directory path includes spaces, the installation will probably fail with ``No such file or directory`` errors. -### Wheels :gear: +### Wheels ⚙️ For convenience, and starting with version 0.6.5, we now build binary wheels for different operating systems, architectures, and Python versions using @@ -172,7 +172,7 @@ In the event that your operating system, architecture, or Python version are not available as a binary wheel, it is fairly easy to install from source using the instructions above. -### Troubleshooting :hammer_and_wrench: +### Troubleshooting 🛠️ If you get a warning that looks like this: @@ -547,7 +547,7 @@ latest = stream.SMA(close) assert (output[-1] - latest) < 0.00001 ``` -## Supported Indicators and Functions :clipboard: +## Supported Indicators and Functions 📋 We can show all the TA functions supported by TA-Lib, either as a `list` or as a `dict` sorted by group (e.g. "Overlap Studies", "Momentum Indicators", @@ -567,7 +567,7 @@ for group, names in talib.get_function_groups().items(): print(f" {name}") ``` -### Indicator Groups :label: +### Indicator Groups 🏷️ * Overlap Studies * Momentum Indicators