Changelog

Added dividend and income tracking in portfolio backtesting.

Portfolio Backtesting Feature

• Added dividend and income tracking in portfolio backtesting with detailed reporting.

Added verification-suite coverage, improved leveraged ETF analysis tool.

Tooling & Validation

• Added canonical verification-suite cases with more high-value portfolio and tax edge cases.
• Improved detail of leveraged ETF analysis tool.

Bugs and Pricing

• Fixed a user-reported bug with tax lot accounting for Decemberwash sales that could cause incorrect loss carryforward and tax drag results in some cases. I apologize for this - all users on paid plans get a free additional month.
• Thank you for all the support! I've simplified the user plans to just the free and pro tier, given that infrastrucutre costs are (for the most part) covered. This moves a lot of features into public/free availability, and also means that all users get access to the full platform for free with a reasonable usage limit, and can upgrade to Pro for more intensive use.

Added uploaded series and reusable research tickers, reorganized Workspace navigation, expanded tax-aware replay and flat-tax modeling.

Custom Data And Research Tickers

• Added uploaded series support so Pro users can import CSV time series, assign ticker aliases, and reuse them in supported workflows such as Factor Regression.
• Research tickers now support first-class sources beyond expressions, including Workspace portfolios, strategies, and uploaded series.
• Workspace objects can now be promoted into reusable research tickers, making custom research inputs easier to carry across runs.

Workspace And Workflow Improvements

• Workspace now uses category-based navigation for Saved Runs and reusable Library items, making it easier to browse portfolios, strategies, tickers, metric presets, and other saved work.

Tax-Aware Modeling And Sharing

• Added simple flat tax mode for tax-aware analysis when a single all-in rate is the right approximation.
• Share and reopen flows now preserve tax-aware assumptions more accurately across Portfolio Backtest, Rebalancing Sensitivity, and Tactical Allocation.
• Expanded tax detail views with stronger event, wash-sale, and yearly-ledger reporting, plus export support, while tightening lot, dividend, valuation, and rebalance determinism.

Retirement planning, richer portfolio research workflows, expanded optimizer and factor diagnostics, and broader workflow guidance.

Retirement And Monte Carlo

• Added the Retirement Planner for historical and Monte Carlo retirement sustainability analysis with spending rules, income streams, account-type modeling, and failure-mode analysis.
• Expanded Monte Carlo lifecycle modeling with multi-phase plans and additional withdrawal strategies including VPW, Guyton-Klinger, CAPE-based, and RMD-based rules.
• Retirement and tax planners now preserve more explicit assumptions in results and saved-run metadata.

Portfolio Research

• Portfolio Backtest added regression diagnostics, dynamic withdrawal strategies, improved research handoffs, and first-class reusable research assets across saved runs and library flows.
• Strategy Builder added signal history output so allocation changes can be traced back to the triggering regime inputs.
• The platform now supports first-class glidepath portfolio definitions for reusable retirement and allocation workflows.

Factor And Optimization Diagnostics

• Factor Regression expanded beyond the initial factor sets with broader model coverage, richer diagnostics, and custom factor builder support.
• Portfolio Optimizer added SWR and PWR objectives, cash overlay and borrow-spread assumptions, and richer backtest constraints including metric bounds, turnover caps, and per-asset bounds.

Added new 401k tool to compare pre-tax vs Roth contributions, compensation comparison tool, and improve depth of tax-aware engine.

New Tools

• Added new 401k comparison tool to compare pre-tax vs Roth contributions with tax-aware modeling of future wages, grants, and AMT implications.
• Added new compensation comparison tool to compare different compensation structures with tax-aware modeling of future wages, grants, and AMT implications.

Tax-Aware Modeling

• Added federal bracket mode selection for tax-aware backtesting: current 2026 schedule, year-matched historical brackets (1998–2026), or fully custom federal tax brackets.

Improved sharing functionality, improved synthetic ticker transparency.

General Improvements

• Added HTML embed support for shared results in the share modal
• Added more detail about methodology of generating synthetic tickers in the Data Sources documentation

New factor regression and PCA tools.

Modeling And Analysis

• Added new factor regression tool.
• Added new PCA tool.

General Improvements

• Click on modified ticker to copy ticker expression

This release I focused on making the platform more consistent with platform level settings and making analysis more accessible, and also expanded on some tool functionality.

Modeling And Analysis

• Added turnover-based transaction cost modeling to walk-forward optimizer runs.
• Added ability for users to add AMT future assumptions for future wages and grants.
• Expanded Rebalancing Sensitivity with explicit signed trading-day offsets and clearer sweep controls.

Workflow Consistency

• Added Tool Defaults in Settings for the benchmark ticker and risk-free configuration used across tools by default.
• Expanded compare support across optimizer studies, signal analyses, rebalancing sensitivity runs, and other saved analyses.

For ArthaPilot v2.0, I focused on building out a central hub for users to be able to save their research and runs, so that they would be able to compare across configurations and build on prior work more easily.

Workspace

• Added the Workspace page as the main place to browse Analyses and Library items.
• Expanded save flows so more tools can reopen prior analyses with their state intact.
• Added compare workflows and version diffs for saved work.
• Expanded the Library model across signals, strategies, portfolios, assumptions presets, metric presets, and compare sets.

Portfolio Research And Optimization

• Added efficient frontier, walk-forward backtest, and Black-Litterman optimizer modes.
• Added benchmark-relative charts, regime breakdowns, richer visuals, and broader metric coverage across portfolio analysis.

Tax Profile And Transparency

• Added dual-state tax profile support for resident and work-state modeling.
• Expanded after-tax drill-downs with clearer tax tabs, yearly detail, and wash-sale chain visibility.
• Added supporting investor workflows such as research tickers and broader synthetic series support.

First release of ArthaPilot with the suite of tools that I used personally.

Portfolio Backtesting

• Multi-allocation portfolio construction with configurable rebalancing schedules and trigger logic.
• Allow for principal, contributions, withdrawals, and scheduled cashflow events.
• Added condition-based allocation, sleeve-based portfolio logic, and price or total-return analysis modes.

Tax-Aware Research And Planning

• Added lot-level tax accounting with holding-period classification and multiple lot-selection methods.
• Added wash sale handling, loss carryforwards, dividends, and tax loss harvesting workflows.
• Added state tax calculations for all 50 states plus DC, along with AMT analysis and pre-tax versus Roth comparison tools.
• Added after-tax equity curves, tax drag analysis, and detailed trade and tax reporting.

Strategy, Signal, And Portfolio Research

• Added a visual Strategy Builder, reusable signals, and a public Gallery.
• Added signal composition, risk-off switching, and community portfolio workflows.
• Added private, unlisted, and published visibility controls for shared research.

Analysis Toolkit

• Added Monte Carlo simulation with historical, bootstrap, and parametric models.
• Added the Portfolio Optimizer with efficient frontier visualization.
• Added Asset Analyzer, Rebalancing Sensitivity, leverage analysis, synthetic ticker support, and a verification suite.