Freqtrade

Overview

Freqtrade is a free, open-source crypto trading bot written in Python. Its documented workflow combines Python strategy customization, backtesting, Hyperopt parameter optimization, dry-run operation, and the optional FreqAI machine-learning module.

Freqtrade users write strategy logic in Python, backtest against historical OHLCV data, optimize parameters, and connect to exchanges that the project explicitly supports through CCXT. The supported exchange list is narrower than CCXT's full catalog and should be checked in Freqtrade's current documentation.

The tradeoff is setup complexity. Freqtrade requires Python 3.11+, Docker or a virtual environment, command-line comfort, and a VPS or local machine to run continuously. It is built for quant-curious developers and systematic traders, not for non-coders looking for a no-setup GUI.

Key Features

• Python strategy development — Write fully custom trading logic using pandas and technical indicator libraries. Every buy/sell signal, entry filter, and exit condition is defined in code, with no locked-in templates or vendor constraints.
• Backtesting engine — Test strategies against years of historical OHLCV data with detailed P&L reports, trade lists, and drawdown analysis before committing real capital.
• Hyperopt parameter optimization — Machine-learning–driven search over strategy parameters (buy/sell thresholds, ROI targets, stop-loss levels) to find optimal settings automatically, rather than manually grid-searching.
• FreqAI — adaptive ML module — Configure feature engineering, model training, and periodic retraining for supported machine-learning workflows. Available models and compute requirements depend on the current FreqAI documentation and user configuration.
• Multi-exchange live trading — Connect Freqtrade to supported spot and futures exchanges including Binance, Bybit, OKX, Kraken, Gate.io, and Hyperliquid via CCXT; use separate bot instances/configs for multi-exchange setups. Supports spot and futures markets.
• Telegram + Web UI monitoring — Manage, pause, and inspect all open trades remotely via Telegram commands or the built-in web UI without logging into the server directly.

Pricing & Plans

Freqtrade is completely free and open-source under the GPL-3.0 license. There are no subscription tiers, no hosted service fees, and no premium features behind a paywall.

The indirect costs are infrastructure and the fees charged by the user's selected exchange. Both vary by provider, region, strategy workload, market, and account tier, so this review does not publish a representative dollar amount or fee rate.

All features — including FreqAI, Hyperopt, backtesting, and multi-exchange support — are available to every user at no cost.

Best For

• Python developers and quantitative traders who want full control over their strategy logic
• Traders who want to backtest and ML-optimize a systematic strategy before going live
• Self-directed investors who want zero monthly fees and complete data ownership
• Open-source contributors and algo-trading enthusiasts building custom automation
• Users comfortable running and maintaining a VPS or local server continuously

Avoid If

• You want a hosted, no-code service or customer support that operates the bot for you; Freqtrade is self-hosted software.
• You cannot review Python strategy logic, exchange configuration, and infrastructure maintenance.
• You expect backtests, Hyperopt, or FreqAI to establish future profitability; the project explicitly recommends dry-run use and warns that trading is at your own risk.

Sources & Verification

• Last verified: 2026-08-20
• Evaluation scope: Open-source license, supported workflow, dry-run/backtesting/optimization features, FreqAI availability, and operating requirements; no trading returns were tested.
• Method: Source-based research from the official product materials below. No hands-on testing was performed for this update.
• Official sources:
  • Freqtrade documentation
  • Freqtrade repository

FAQ