Systematic Equity Design
Build U.S. stock portfolios with screens, rankings, custom signals, constraints and optimization — across ~70 fundamental variables and 200+ derived signals.
Portfolio research for serious investors & advisors
Design systematic U.S. equity and multi-asset portfolios, save and analyze them as reusable strategies, and model tax-aware implementation — with AI assisting every step.
Historical simulations are hypothetical and provided for research and educational use.
Describe an idea and build an illustrative equity portfolio around companies connected to that theme.
Holdings selected with current information applied historically — illustrative, not an ex-ante backtest.
From portfolio design to analytics, tax-aware implementation and reporting — in one integrated workspace.
Every portfolio you build becomes a saved research object: revisit its rules, refresh results, compare analytics, use it as a building block in another portfolio, examine tax-aware implementation, export the data or generate a report.
Build systematic equity and multi-asset portfolios through structured visual workflows.
Save, duplicate, reuse and explore portfolios and templates.
Examine performance, benchmarks, drawdowns, holdings, attribution and allocation history.
Monitor tax lots, restrictions, drift, transactions and harvesting opportunities.
Turn portfolio analytics and commentary into reusable research reports.
Build U.S. stock portfolios with screens, rankings, custom signals, constraints and optimization — across ~70 fundamental variables and 200+ derived signals.
Combine liquid ETFs and your own PortFrame equity portfolios within diversified, multi-asset allocations.
Model tax-loss harvesting, drift bands, gain budgets, replacement logic, restrictions, transactions and optional long–short overlays.
Analyze portfolio results and convert them into exportable, investor-facing research reports.
PortFrame AI helps translate investment ideas into portfolio specifications, select variables, explain results and generate report commentary — it assists the workflow rather than replacing your judgment.
Describe a thesis, shape it in the visual builder, simulate and analyze it, drop it into an allocation, model tax-aware implementation, and explain it in a report.
PortFrame AI turns a thesis into a formal portfolio specification — choosing variables, rules and constraints you can review and edit.
A node-based flow builder lays out the whole construction pipeline — universe, filters, screening rules, constraints and weighting — so every decision is visible and editable.
Daily-tracked performance, benchmark-relative results, drawdowns, holdings, and sector & factor attribution — all reusable and refreshable.
Simulated, hypothetical example · not actual returns
Use your equity portfolio as a sleeve in a multi-asset allocation, then model tax-loss harvesting, drift bands and lot-level treatment — monitored, not executed.
Simulated, hypothetical example · not actual returns
Combine analytics, fixed text and AI-written commentary into a reusable, investor-facing report — tied to the actual portfolio, not a generic narrative.
Simulated, hypothetical example · not actual returns
Durable, cash-generative U.S. businesses screened on quality and value composites.
Systematic · no look-aheadOpen study · recreateCompanies powering compute, data-center energy demand and connectivity.
Illustrative · fixed-selectionOpen study · recreateDefense electronics, counter-drone systems and secure communications.
Illustrative · fixed-selectionOpen study · recreateHigh-quality companies with a track record of rising dividends.
Systematic · no look-aheadOpen study · recreateMulti-asset growth blend of liquid ETFs and a custom U.S. equity sleeve.
Systematic · no look-aheadOpen study · recreateGlidepath that systematically shifts from growth to defensive over time.
Systematic · no look-aheadOpen study · recreateTax-loss harvesting modeled against a diversified allocation with drift bands.
Tax-aware implementation studyOpen study · recreateOptional overlay that extends harvesting opportunities later in a taxable account.
Tax-aware implementation studyOpen study · recreateAll figures shown are simulated, hypothetical examples for illustration — not actual investor returns. See full disclosures below.
PortFrame publishes the construction rules, benchmark, rebalancing and transaction-cost assumptions behind every simulation, and is explicit about look-ahead bias and tax assumptions — because content that affects financial decisions has to be reliable.
Systematic portfolios use only information available at each point in time.
Universe, fundamentals and signals documented, not implied.
PortFrame models implementation; it is not a brokerage and places no trades.
Plans map to the product ladder — from exploring themes, to designing systematic portfolios, to studying tax-aware implementation and reporting.
Explore investment themes through illustrative portfolios.
Includes
Design and analyze systematic portfolios.
Everything in Essentials, plus
Study tax-aware implementation and communicate strategies professionally.
Everything in Core, plus
| Feature | EssentialsEss.$10/mo | Core InvestorCore$29/mo | Pro InvestorPro$79/mo |
|---|---|---|---|
| PortFrame AI | |||
| Portfolio AI analysis | |||
| Thematic portfolios | |||
| Equity portfolios (200+ signals) | |||
| Asset allocation | |||
| AI portfolio improvements | |||
| Portfolio designer (flow editor) | |||
| Manual edit portfolios | |||
| Detailed portfolio analytics (Pro view) | |||
| Advanced asset allocation (50+ signals) | |||
| Tax-loss harvesting | |||
| Reports | |||
| Report templates |
PortFrame is an integrated portfolio lab — not a brokerage, a robo-advisor, a stock-tip chatbot, or a generic backtester.
No. PortFrame is a portfolio research and implementation-modeling platform. It does not hold assets, route orders, or execute trades. Tax-aware implementation is modeled and monitored — never executed.
No. Historical simulations are hypothetical and depend on assumptions about portfolio rules, rebalancing, transaction costs and data availability. Past performance does not guarantee future results.
Systematic equity portfolios use a no-look-ahead process. Thematic and fixed-stock portfolios use holdings identified with current information applied historically, so their results are illustrative — not an ex-ante systematic backtest.
Yes. A PortFrame-built U.S. equity portfolio can serve as the equity sleeve inside a complete multi-asset allocation — the same object, reused as a building block.
No. PortFrame is a research and modeling tool. Tax-aware results depend on your assumptions, and nothing on the platform is individualized tax or investment advice.
Simulations. Historical simulations are hypothetical, do not represent actual investor experience, and depend on assumptions regarding portfolio rules, rebalancing, transaction costs and data availability. Past performance does not guarantee future results.
Illustrative selections. Thematic and fixed-stock portfolios use holdings selected with current information applied historically. Results are illustrative and are not equivalent to a no-look-ahead systematic strategy backtest.
Tax-aware implementation. Results are hypothetical and depend on user-defined assumptions including tax rates, holding periods, replacement securities and wash-sale treatment. PortFrame does not provide individualized tax advice or execute trades.