ta-lib
Time Series Analyzer
A C library providing functions to analyze and manipulate financial time series data
TA-Lib (Core C Library)
644 stars
20 watching
153 forks
Language: C
last commit: about 1 month ago
Linked from 1 awesome list
financialseries-analysista-libtechnical-analysis
Related projects:
Repository | Description | Stars |
---|---|---|
femtotrader/talib.jl | A Julia wrapper for Technical Analysis Library, providing access to various technical analysis functions. | 52 |
mementum/bta-lib | A pandas-based technical analysis library for backtesting and quantitative analysis. | 458 |
ta4j/ta4j | A Java library for technical analysis of financial markets | 2,094 |
tulipcharts/tulipindicators | A C library providing a collection of technical analysis functions for financial data analysis. | 867 |
sdcoffey/techan | A Go library for analyzing financial data and building trading strategies using technical indicators | 843 |
greyblake/ta-rs | A Rust library providing technical analysis indicators for financial data | 706 |
amv-dev/yata | A Rust-based technical analysis library providing indicators and methods for trading and financial analysis | 334 |
nardew/talipp | An incremental technical analysis library for Python that enables efficient real-time calculations of financial indicators. | 405 |
taw/imba-calculator | A basic calculator built in the Imba programming language. | 1 |
femtotrader/pandas_talib | A Python implementation of technical analysis indicators | 750 |
iamjinlei/go-tart | Provides efficient streaming updates of technical indicators for financial analysis | 60 |
chetant/libclang | A Haskell FFI binding to the C++ libclang library for working with source code analysis and manipulation. | 58 |
juliaquant/markettechnicals.jl | Tools and algorithms for analyzing financial market data | 127 |
thaiane/thaiane | A collection of technical skills and interests focused on frontend development with React and TypeScript. | 218 |
joshuaulrich/ttr | A package providing R-based functions for constructing technical trading rules and analyzing financial data. | 333 |