Freqtrade
Open-source crypto trading bot written in Python, with backtesting, parameter optimization, a simulated mode and Telegram control.
The reference open-source crypto bot: complete, well documented and backed by a huge community.
Who it is for
Retail traders who know some Python and want a self-hosted crypto bot, tested in simulated mode first.
Strengths
- Dry-run mode with fake money before risking anything.
- Backtesting on downloaded historical data and parameter optimization (hyperopt).
- Control and monitoring via Telegram or a web UI.
- Spot on Binance, Bitget, Bybit, Gate, HTX, Hyperliquid, Kraken, OKX and others; futures on Binance, Bitget, Bybit, Gate, Hyperliquid, Kraken and OKX.
- Very active project (over 55,000 GitHub stars, daily commits in October 2026).
Good to know
- Its own documentation says it is "for educational purposes only" and warns not to risk money you are afraid to lose.
- Needs an always-on server: at least 2 GB RAM and 2 vCPUs according to the docs.
- Optimizing with hyperopt makes overfitting easy: what wins on past data may not win afterwards.
Want a bot built on Freqtrade, or something similar?
We set it up, connect it to your accounts and keep it running.
Real-life uses
Grid and DCA automation with guard rails
🔥 High demandGrid or DCA bots with a hard stop: the bot pauses itself when the trend breaks or your loss limit is hit.
Sources
Every fact on this page comes from these sources, checked on 2026-10-24. If something has changed, the source wins; tell us at contact@tradebotcheck.com.
- https://www.freqtrade.io/en/stable/: supported exchanges, features, requirements and risk disclaimer
- https://github.com/freqtrade/freqtrade: GPL-3.0 license and project activity
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