Build portfolios you can test, implement and explain.

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.

PortFrame AI · Design Studio

Explore an investment theme

Illustrative current-selection

Describe an idea and build an illustrative equity portfolio around companies connected to that theme.

ExampleCompanies enabling AI data-center power demand
1Y
14.2%
Vol
11.8%
Sharpe
1.34
Max DD
-8.2%
Representative holdings · U.S. listed
NextEra Energy NEE8.4%
Vistra Corp VST6.2%
GE Vernova GEV5.8%
Eaton Corp ETN5.1%
Quanta Services PWR4.7%

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.

The portfolio workspace

Not a one-off backtest.
A reusable portfolio 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.

01

Design Studio

02

Portfolio Library

03

Analytics

04

Implementation

05

Reports

01

Design Studio

Build systematic equity and multi-asset portfolios through structured visual workflows.

02

Portfolio Library

Save, duplicate, reuse and explore portfolios and templates.

03

Analytics Dashboard

Examine performance, benchmarks, drawdowns, holdings, attribution and allocation history.

04

Implementation Workspace

Monitor tax lots, restrictions, drift, transactions and harvesting opportunities.

05

Report Builder

Turn portfolio analytics and commentary into reusable research reports.

Product modules

Everything needed to move from portfolio design to implementation research

Systematic Equity Design

Build U.S. stock portfolios with screens, rankings, custom signals, constraints and optimization — across ~70 fundamental variables and 200+ derived signals.

FactorPrecisionThematicFixed Stocks

Multi-Asset Allocation

Combine liquid ETFs and your own PortFrame equity portfolios within diversified, multi-asset allocations.

StaticGlidepathDynamic Signals

Tax-Aware Implementation

Model tax-loss harvesting, drift bands, gain budgets, replacement logic, restrictions, transactions and optional long–short overlays.

Tier 1 · TLHTier 2 · BandsTier 3 · SleeveLong–Short

Analytics & Reporting

Analyze portfolio results and convert them into exportable, investor-facing research reports.

AttributionDrawdownsExportsReports
PortFrame AI · assists across every module

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.

How it works

From an idea to a report — without leaving the workspace.

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.

1Describe

Start with an idea, in plain English

PortFrame AI turns a thesis into a formal portfolio specification — choosing variables, rules and constraints you can review and edit.

FactorPrecisionThematic
PortFrame AI
Build a quality-value portfolio, quarterly rebalance, 50 stocks
Universe
U.S. Large + Mid
Signals
Quality · Value
Rebalance
Quarterly
Target
50 stocks
2Design

Shape it in the visual Design Studio

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.

Drag & dropNo code
Design Studio · Flow builder
UniverseU.S. Equities
FilterCap · Sector
RulesRank · Screen
ConstraintsWeights
WeightingOptimize
OutputPortfolio
Optimizers Mean-Variance · Risk Parity · Max Sharpe
3Simulate

Simulate and analyze as a saved object

Daily-tracked performance, benchmark-relative results, drawdowns, holdings, and sector & factor attribution — all reusable and refreshable.

PerformanceAttributionDrawdowns
Analytics dashboard
PerformanceHoldingsSectorsFactorsRisk
1M
+2.1%
YTD
+11.6%
Sharpe
1.24

Simulated, hypothetical example · not actual returns

4Allocate & implement

Drop it into an allocation, then model tax

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.

Equity sleeveTLHDrift bands
Allocation → Tax-aware monitor
Target weights
U.S. Equity
Core Bonds
Intl
Diversifiers
Tax-aware
Harvested$19.6k
Drift vs target
Within band±3%
ST / LT lots64 / 36

Simulated, hypothetical example · not actual returns

5Explain

Turn it into a shareable report

Combine analytics, fixed text and AI-written commentary into a reusable, investor-facing report — tied to the actual portfolio, not a generic narrative.

TemplatesAI commentaryExport
Report builder
Quality-Value Composite — Q4 Review
Strategy report · benchmark S&P 500
AI commentaryExport PDF

Simulated, hypothetical example · not actual returns

Methodology & trust

Transparent rules. Clear assumptions. Honest about limits.

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.

No-look-ahead discipline

Systematic portfolios use only information available at each point in time.

Stated data sources

Universe, fundamentals and signals documented, not implied.

Research & modeling — not execution

PortFrame models implementation; it is not a brokerage and places no trades.

Pricing

Choose the plan that fits how you work.

Plans map to the product ladder — from exploring themes, to designing systematic portfolios, to studying tax-aware implementation and reporting.

Essentials

Explore investment themes through illustrative portfolios.

$10/month

Includes

  • PortFrame AI
  • Portfolio AI analysis
  • Thematic portfolios
Get started

Pro Investor

Study tax-aware implementation and communicate strategies professionally.

$79/month

Everything in Core, plus

  • Advanced asset allocation (50+ signals)
  • Tax-loss harvesting
  • Reports
  • Report templates
Get started
Compare plans

Every feature, by plan

FeatureEssentialsEss.$10/moCore InvestorCore$29/moPro 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
What PortFrame is — and isn't

Clear answers before you build.

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.