{"categories":[{"label":"Investment","url":"https://skillfed.io/packages/category/office-business-financial-investment"}],"enrichment":{"capability":"Technical provides a collection of technical indicators and utilities for financial analysis, designed to work with Freqtrade trading strategies and pandas dataframes.","skillfed_tags":["trading-indicators","freqtrade","financial-analysis"],"use_cases":["Build multi-timeframe trading strategies by resampling OHLCV data and merging signals from 4h or daily indicators into 1h candles.","Backtest Freqtrade strategies using a unified API for technical indicators without writing custom wrappers.","Combine consensus-based indicators (e.g., moving average consensus) to filter entry/exit signals across multiple indicators.","Calculate volume-weighted indicators and trend-following metrics (Supertrend, Ichimoku) on historical price data.","Access custom indicators like VFI, ALMA, and SSL Channel that are not in standard TA-lib."],"what_it_does":"Technical is a companion library for Freqtrade that bundles technical indicators and utilities for building trading strategies. It wraps TA-lib and provides custom indicators (consensus models, Ichimoku cloud, Supertrend, etc.) alongside standard ones (SMA, EMA, Bollinger Bands, RSI) all designed to work directly on pandas dataframes with OHLCV columns. The library also includes utilities for resampling dataframes to different timeframes and merging them back, allowing strategies to incorporate signals from multiple intervals.\n\nThe package is actively maintained, supports Python 3.11 through 3.14, and has no known vulnerabilities. It depends on TA-lib and pandas at runtime. Most indicators are wrapped to accept a dataframe and period parameters, making them straightforward to integrate into backtesting or live trading workflows.","worth_installing":"Yes, if you are building Freqtrade strategies or need a curated collection of technical indicators for pandas-based financial analysis. The active maintenance, low install friction, and lack of known vulnerabilities make it reliable. GPLv3 licensing requires that any derivative work also be open-source; if that is incompatible with your use case, do not install. TA-lib dependency can be a blocker on some platforms."},"id":"technical","links":{"html":"https://skillfed.io/packages/technical","md":"https://skillfed.io/packages/technical.md","pypi":"https://pypi.org/project/technical/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-21","license_spdx":null,"license_treatment":"copyleft","name":"technical","python_support":"supports_current","summary":"Technical Indicators for Financial Analysis"},"popularity":{"monthly_downloads":264907,"position":8332,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.0"}