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ta-lib

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

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# 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
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