Portfolio Backtest

Portfolio Backtesting With Taxes, Cash Flows, and Rebalancing

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.

What you can model

  • Multiple allocations and strategy sleeves in one portfolio.
  • Recurring or one-time contributions and withdrawals.
  • Portfolio-level and strategy-level rebalancing policies.

What makes the workflow credible

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.

When to move into tax-aware mode

  • The strategy has meaningful turnover.
  • The account is taxable and lot selection matters.
  • The pre-tax winner may reverse after taxes and settlement are modeled.

What to read next

  • Tax-Aware Backtesting for lot and wash-sale assumptions.
  • Strategies and Signals for reusable building blocks.
  • Verification Suite for edge-case coverage.

FAQ

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.

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