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OpenProphet vs Freqtrade

OpenProphet and Freqtrade are both open source trading systems. Different approaches, different markets.

Feature              OpenProphet                     Freqtrade
──────────────────────────────────────────────────────────────────
Approach             LLM-native agent trading        Rule-based algorithmic trading
Decision engine      AI model (Claude, GPT, Gemini)  Python strategy classes
Reads news           Yes                             No
Adapts to context    Yes                             No — follows coded rules
Backtesting          No — forward-test on paper      Yes — full historical backtesting
Asset classes        Stocks and options (Alpaca)      Cryptocurrency (25+ exchanges)
Language             Go + Node.js                    Python
Web dashboard        Yes (SSE streaming)             Yes (FreqUI)
GitHub stars         New project                     39,900+
Strategy creation    Natural language                Python code
Running cost         LLM API ($3-25/MTok)            Free (no API costs)
License              CC BY-NC 4.0                    GPL-3.0

Use OpenProphet When

Use Freqtrade When

The Fundamental Difference

Freqtrade is for traders who know exactly what rules to execute. "Buy when RSI < 30 and MACD crosses up, sell when RSI > 70." Reliable, cheap, backtestable.

OpenProphet is for a different kind of trading. The agent doesn't follow hardcoded rules — it reasons like a human. Reads news, interprets context, weighs factors, makes judgment calls. More flexible, less predictable. Power vs. determinism.

Both have value. Many traders may use both — Freqtrade for quantitative strategies, OpenProphet for discretionary, news-driven, or complex multi-factor trading.

See Also


OpenProphet is experimental software. AI agents can hallucinate and result in total loss of an account. We never recommend connecting real money. This is not investment advice.
CC BY-NC 4.0 · Jake Nesler · Source on GitHub