Research before generation
Investigate market context and refine the premise before Scout turns it into a strategy.
Your research.
Your terminal.
Generate inspectable Python, validate strategies, and review backtest evidence in a local workspace.
Installation guidecurl www.polarline.io/cli/install | bashmacOS and Linux. Free to run locally. Bring your own model key.
Scout researching and building a strategy in a local terminal workspace.
Evidence follows the idea.
Thesis
Your market idea, stated in plain language
Code
Inspectable Python written into your workspace
Validation
Guardrails and contract checks before a run
Evidence
Backtest results attached to the strategy
Inspect the work.
Code you can inspect
The output is Python in your workspace, not a black-box recommendation hidden behind a chat response.
Validation in the loop
Scout checks the strategy contract and common failure modes before a backtest becomes evidence.
Versioned intent
Keep meaningful strategy changes legible while parameter tuning stays connected to the same idea.
Start locally.
Use the open-source CLI, then compare cloud and automation options as your workflow grows.
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