{"categories":[{"label":"Investment","url":"https://skillfed.io/packages/category/office-business-financial-investment"}],"enrichment":{"capability":"Freqtrade is a Python-based cryptocurrency trading bot that automates trading across major exchanges, with backtesting, strategy optimization via machine learning, and control via Telegram or web UI.","skillfed_tags":["trading-automation","backtesting","machine-learning"],"use_cases":["Backtest a trading strategy against historical data before deploying it live on an exchange.","Optimize strategy parameters using machine learning to find better entry/exit signals.","Run a live trading bot on a schedule, receiving Telegram alerts and controlling it remotely.","Analyze trade performance and generate profit/loss reports in fiat currency.","Download and convert market data from multiple exchanges for research."],"what_it_does":"Freqtrade is an open-source trading automation framework for cryptocurrency markets. It connects to major spot and futures exchanges via ccxt, executes buy/sell strategies defined in Python, and provides backtesting and hyperparameter optimization to refine those strategies before risking real capital. The bot can be controlled remotely via Telegram or a built-in web UI, stores trade history in SQLite, and includes tools for data download, visualization, and performance analysis.\n\nThe package is designed for developers and traders with Python knowledge who want to automate trading logic without building exchange connectivity from scratch. It emphasizes dry-run testing and backtesting as prerequisites to live trading, and includes adaptive machine learning capabilities for strategies that self-train to market conditions. The large dependency footprint reflects its breadth: technical analysis (TA-Lib, ft-pandas-ta), numerical computing (numpy, scipy), web serving (fastapi), and data serialization (orjson, pyarrow).","worth_installing":"Yes, if you have Python knowledge and want to automate crypto trading with backtesting and optimization. Active maintenance, low install friction, and zero known vulnerabilities make it a solid choice. The GPLv3 copyleft license restricts commercial redistribution, and the project's own disclaimer emphasizes educational use\u2014do not deploy without understanding the strategy and starting in dry-run mode. The 45 dependencies add complexity; verify your use case doesn't require all of them."},"id":"freqtrade","links":{"html":"https://skillfed.io/packages/freqtrade","md":"https://skillfed.io/packages/freqtrade.md","pypi":"https://pypi.org/project/freqtrade/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-31","license_spdx":null,"license_treatment":"copyleft","name":"freqtrade","python_support":"supports_current","summary":"Freqtrade - Crypto Trading Bot"},"popularity":{"monthly_downloads":75170,"position":14746,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.7"}