{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"}],"enrichment":{"capability":"Computes technical analysis indicators (volume, volatility, trend) from financial time series data for feature engineering in trading and financial analysis workflows.","skillfed_tags":["financial-analysis","time-series","trading"],"use_cases":["Build feature sets for machine learning models trained on historical price data.","Calculate Bollinger Bands and other volatility indicators for algorithmic trading signals.","Compute moving averages and MACD for trend-following strategies.","Generate volume-weighted indicators like Money Flow Index for momentum analysis.","Backtest trading strategies that rely on technical indicator thresholds."],"what_it_does":"ta is a technical analysis library that computes financial indicators from time series data (open, close, high, low, volume). It implements 43 indicators across three categories: volume-based (Money Flow Index, On-Balance Volume, Chaikin Money Flow), volatility (Bollinger Bands, Keltner Channel, Average True Range), and trend (moving averages, MACD). The library is designed for feature engineering in quantitative trading and financial analysis pipelines.\n\nThe package is stable and moderately popular (top 5000 PyPI packages by downloads), with an active repository and no known security vulnerabilities. However, the source distribution format suggests potential friction at install time. It carries no license restrictions (MIT) but offers limited recent maintenance signals.","worth_installing":"Yes, with conditions. Install if you need a straightforward technical indicator library for financial feature engineering and can tolerate high install friction (source distribution, potential build requirements). The MIT license is permissive, the codebase is stable, and there are no known vulnerabilities. However, verify Python version compatibility and build requirements before committing to production use."},"id":"ta","links":{"html":"https://skillfed.io/packages/ta","md":"https://skillfed.io/packages/ta.md","pypi":"https://pypi.org/project/ta/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2023-11-02","license_spdx":null,"license_treatment":"permissive","name":"ta","python_support":"unspecified","summary":"Technical Analysis Library in Python"},"popularity":{"monthly_downloads":942654,"position":4674,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.11.0"}