openprophet.io | learn | github
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.
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