Strategies

How AI parsing works

What happens when you submit a strategy description — language detection, model selection, code generation, and test generation.

Strategy input formats

The three formats you can use to describe a strategy — natural language, Python pseudocode, and Pine Script.

Strategy language reference

How to write strategy descriptions that the AI parser handles well — syntax, timeframes, operators, and tips.

Indicators reference

All indicators available to AI-generated strategies in the coinrule_x_indicators library.

Reviewing a parsed strategy

What to check on the interpret screen before launching — logic, conditions, risk, and the generated Python.

Editing strategy fields

How to edit a running or paused strategy — which fields can change and how.

Generated Python and tests

How AI-generated strategy code is structured, what the test file does, and how to read it.

Supported vs unsupported strategies

What the engine can and cannot execute, and how to rephrase edge cases.

Scan and multi-market strategies

How scan strategies work, market universe selection, and concurrent position limits.

Strategy types

Overview of the different strategy execution modes — standard, scan, DCA, basket, and TradingView.

Template library

Pre-built strategy templates — how to browse, launch, and customise them.

Timeframes and schedules

Supported candle intervals, evaluation timing, and how timer-based strategies work.