About ArthaPilot

The story behind the project, why it exists, and how you can help keep it running.

Walkthrough

Video walkthrough

TUTORIAL / 4:36

Chapters

Learning focus

Connect household records, a worked comparison, saved analyses, and monitoring.

Transcript

  1. ArthaPilot connects your household records, financial models, and saved results.
  2. This household brings three accounts into one view. The different tax treatments, holdings, and lots stay attached. The overview shows combined value and target drift at the displayed pricing date.
  3. Your work lives under Household, Workspace, and Monitors. The tools below are grouped by the job they do.
  4. This tax profile supplies filing status, work state, and income. Its bracket assumptions carry into tax-aware tools.
  5. Each account keeps its type, owner, and tax lots. Household members belong in the same setup. Tools reuse these saved records.
  6. Findings highlights which household records or questions need attention.
  7. This example flags a stale snapshot, tax opportunities, and target drift.
  8. Each finding links to the tool that can investigate it.
  9. These tools open with the saved household, so the same accounts and tax context carry into the analysis.
  10. Portfolio Backtest replays an investment mix through market history. A prepared example compares two portfolios through the financial crisis. The workflow is inputs, run, results, and save.
  11. Both portfolios share the same dates and rules. Only their allocations differ. One holds sixty percent stocks and forty percent bonds. The other holds forty five percent stocks, twenty five percent bonds, and thirty percent gold.
  12. Run the comparison across the trading days from 2007 through 2012.
  13. Both start from ten thousand dollars. The gold mix ends near sixteen thousand three hundred dollars. The stock-and-bond mix ends near twelve thousand nine hundred dollars. Compare the loss along the way before reading that gap.
  14. Drawdown measures the drop from a previous high. The stock-and-bond mix was down thirty five and a half percent at its worst. The gold mix fell twenty eight point three percent. Its higher ending balance came with a shallower decline in this window.
  15. Total return includes distributions, with monthly rebalancing and no inflation adjustment. These pretax results use the full historical window, with no holdout.
  16. Transaction costs and market impact are excluded. Those omissions matter when comparing portfolios that trade differently. The historical window also determines which market events they experience.
  17. Save this comparison with a descriptive name. Workspace stores the inputs beside the results.
  18. Share or export from the result bar. A shared analysis replays the saved calculation. Export downloads the series and result metrics.
  19. The tool's tutorial walks through a complete worked example.
  20. Take a tour highlights the main controls in the tool.
  21. Chapters and the transcript let you return to a specific explanation.
  22. Workspace brings saved results from all your tools together.
  23. This comparison now sits beside three planning runs in the example Workspace. Each can reopen in its tool, and related results can be compared.
  24. Workspace also keeps reusable portfolios, strategies, tickers, and households. Their earlier versions remain available. Each saved analysis retains the version it used.
  25. Monitors follow the household between your visits.
  26. This household has three: allocation drift, tax-loss opportunities, and wash-sale windows. Each monitor shows what it watches and its notification settings.
  27. The Strategy Leaderboard provides public research examples. Curated strategies run through the same historical engine. A shared window makes their return and risk figures comparable.
  28. A strategy row opens its rules and current signal, with an option to copy it into your Library. The signals page collects current states from published strategies.
  29. Docs collects each tool's reference, methodology, and tutorial for later use.
  30. Start with a prepared example in Portfolio Backtest. Save the result, change one allocation, and compare the new result.

The story

I first built ArthaPilot as a personal research tool to backtest a blend of strategies with a tax aware engine.

Friends and family wanted to use it, so I began sending packaged versions of the code for them to run locally. This became a bit of a hassle, and so I decided to invest the time to make this a proper platform that people could use. It's built with a rigorous backtesting core, abstracted strategy primitives, and strong testing and validation.

This is an educational tool, not a trading platform. Nothing here is investment, tax, or legal advice. The goal of me making this available is to enable people to have more clarity about portfolio construction, risk, and long-term compounding using real data and rigorous models.

I've been a programmer for 13+ years, and this is my passion project that I hope will help people. There's a lot of things I hope to build out for this tool.

My costs

Running ArthaPilot requires real resources: cloud infrastructure costs, compute for simulations and backtests (compute is expensive!), market data subscriptions, and the ongoing time required to design, maintain, and improve the system. I am transparent about this because I want users to understand exactly what they are supporting.

All revenue goes toward covering operational expenses and sustaining development. If it is useful to you, your support helps keep me focused on quality and value.

Contact

Please feel free to reach out to me at any time at . I'd love to hear about feedback, features and tools you're hoping for, or how this tool has helped you.