Every Freqtrade strategy is a Python class with pandas DataFrame manipulation. cryptorobot.ai replaces that with a visual builder and AI agents that generate strategies from natural language.
Each strategy is a Python file inheriting IStrategy. You must implement populate_indicators, populate_entry_trend, and populate_exit_trend.
All indicator logic uses pandas. Understanding vectorized operations, rolling windows, and column assignment is essential.
You write code, run a backtest, check results, edit code, repeat. No real-time preview of signal logic.
| Capability | Freqtrade | cryptorobot.ai |
|---|---|---|
| Strategy creation | Write Python class | Visual builder or plain English |
| Indicator setup | pandas code (ta-lib) | Drag-and-drop or AI-generated |
| Testing feedback loop | Edit → run → wait → check | Real-time preview |
| Sharing strategies | Copy Python files | One-click marketplace |
Create a Python file extending IStrategy. Implement indicator population, entry/exit signal logic using pandas DataFrames and technical indicators.
Not with Freqtrade. cryptorobot.ai offers a visual strategy builder and AI agents that create strategies from plain English descriptions.
Visual builder + AI agents. Describe your idea, we build the strategy.