Trading Strategies is one of QuantPilot’s two core workflows. It is designed for building, reviewing, and iterating on strategy logic with the help of AI agents.
Trading Strategies workspace with the agent conversation and QuantScript editor visible.
What this workflow is for
Use Trading Strategies when you want to:
turn an idea into strategy logic
refine strategy behavior through conversation with the agent
validate and save strategy changes
work with versions instead of editing strategy logic blindly
Main parts of the workspace
The exact tab arrangement can vary, but the core experience centers on a few repeatable pieces:
Agent chat for discussing goals, requesting edits, and reviewing changes
QuantScript editor for the actual strategy logic
Version controls for switching and reviewing saved strategy states
Validation and saving
Validation and saving are central to this workflow.
Validate changes before treating them as ready.
Save working progress as the strategy evolves.
Use version selection to revisit earlier states when needed.
Version review and diff-based work
When the agent proposes changes, strategy work is not just about accepting text output. The workflow supports review-oriented iteration.
Compare changes before accepting them.
Keep a clear working version.
Use version history to revert your thinking process, not just the latest line edit.
Diff review view showing the current working version alongside the agent-updated version.