Automated backtesting with TrainBard MCP
Use an AI agent to run Pine Script backtests, sweep parameter ranges, and retrieve results through your TrainBard account.
Product
TrainBard features and workflows, from parameter sweeps and research tools to MCP.
Study: Compare Evidence Across Parameter Sweeps
Use Study to compare related sweeps, inspect candidate neighborhoods across contexts, and return to individual results through Sweep details.
Trade-offs: Comparing Return, Drawdown, and Competing Goals
Use Analyze > Trade-offs to compare non-dominated strategy settings across chosen goals, read the knee score, and keep risk visible.
Regions: Finding the Shape of a Parameter Sweep
Use Regions inside Analyze to compare parameter neighborhoods, pass rates, and support within one backtest sweep.
Drivers: Which Parameters Move the Result?
Use Drivers inside Analyze to inspect parameter effects and pairwise heatmaps within one sweep, then plan the next test.