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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
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.
Also from Jake Nesler: AnyRentCloud (property management software) · Cartogopher (code context tool) · Unbelievable Site (web design consultancy) · LinkedIn
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