Portfolio Backtest
Backtest allocations with contributions, withdrawals, strategy sleeves, rebalancing rules, and tax-aware accounting in one workflow.
Portfolio Backtest is the main entry point when the question is how a portfolio configuration would have behaved over time, not just how one asset performed.
The workflow keeps allocations, strategy definitions, cash flows, and implementation details in one reproducible run instead of scattering assumptions across separate calculators.
A backtest is only as useful as its assumptions. ArthaPilot keeps price mode, date range, rebalance cadence, tax profile, and saved strategy references visible in the same run so results stay auditable.
Is this only for simple buy-and-hold portfolios?
No. The model supports reusable strategies, conditional logic, and separate rebalance layers, so it can represent much more than a static allocation.
Can I save and reopen an analysis later?
Yes. Saved analyses and workspace objects are a core part of the platform design because reproducibility matters as much as the first run.