# Ta Lib

C-optimized technical analysis with 150+ functions and 61 candlestick pattern...

- Repository: https://github.com/agiprolabs/claude-trading-skills (507 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-09-03
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add agiprolabs/claude-trading-skills --skill ta-lib -g -a claude-code -y`
Codex: `npx skills add agiprolabs/claude-trading-skills --skill ta-lib -g -a codex -y`
Cursor: `npx skills add agiprolabs/claude-trading-skills --skill ta-lib -g -a cursor -y`
Gemini CLI: `npx skills add agiprolabs/claude-trading-skills --skill ta-lib -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add agiprolabs/claude-trading-skills`

## Description

C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# ta-lib, C-Optimized Technical Analysis

TA-Lib (Technical Analysis Library) is a C library with a Python wrapper providing 150+ technical analysis functions and 61 candlestick pattern recognition functions. It is the industry standard for performance-critical indicator computation, used in production trading systems where pandas-ta or pure-Python alternatives are too slow.

## What TA-Lib Is

TA-Lib was originally written in C for financial market data analysis. The Python wrapper (`TA-Lib` on PyPI, imported as `talib`) provides:

- **150+ indicator functions** across overlap, momentum, volume, volatility, cycle, and math categories
- **61 candlestick pattern recognition functions**, the most comprehensive pattern library available
- **C-speed computation**, 10-100x faster than pure-Python equivalents on large datasets
- **Two APIs**: a function API (pass arrays directly) and an abstract API (pass dict of arrays)
- **NumPy native**, all inputs and outputs are NumPy arrays

## Installation

TA-Lib requires the underlying C library to be installed first:

```bash
# macOS
brew install ta-lib
uv pip install TA-Lib numpy pandas

# Ubuntu/Debian
sudo apt-get install -y ta-lib
uv pip install TA-Lib numpy pandas

# From source (any platform)
wget https://github.com/ta-lib/ta-lib/releases/download/v0.6.4/ta-lib-0.6.4-src.tar.gz
tar -xzf ta-lib-0.6.4-src.tar.gz
cd ta-lib-0.6.4
./configure --prefix=/usr/local
make && sudo make install
uv pip install TA-Lib numpy pandas
```

If the C library is not installed, `import talib` will fail with an `ImportError`. The scripts in this skill include fallback logic for environments without TA-Lib installed.

## When to Use TA-Lib vs pandas-ta

The rest: https://github.com/agiprolabs/claude-trading-skills/blob/HEAD/skills/ta-lib/SKILL.md