Portfolio tools are fragmented.
Investors often jump between spreadsheets, broker exports, research portals, and generic AI tools. That creates slow reviews, inconsistent assumptions, and weak documentation.
AI Portfolio Financial Analysis
Stat Edge Capital
Explainable AI portfolio analysis for investors who need risk, allocation, and scenario answers before markets move.
- AI-generated allocation diagnostics
- Portfolio stress tests and drawdown scenarios
- Advisor-ready research packets with audit trails
Portfolio Edge
78
Balanced risk posture
AI finding
Equity factor overlap is the largest contributor to downside sensitivity.
Risk diagnostics
Factor overlap, concentration, liquidity, and stress exposure in one review flow
AI explanations
Plain-English findings tied to portfolio inputs, scenarios, and assumptions
Review controls
Audit trails, reviewer notes, and exportable packets for advisory workflows
Interactive Product Demo
Portfolio analysis that explains the why behind the risk.
The static demo below models the kind of diagnostics Stat Edge Capital is building: allocation drift, concentration risk, scenario exposure, liquidity posture, and plain-English AI findings tied to underlying calculations.
Sample portfolio
Allocation Inputs
This public demo uses deterministic sample data. Production workflows connect to custodian exports, broker APIs, and client-approved portfolio files.
AI risk score
78
Balanced
Equity sensitivity
0%
Estimated stress drawdown
0%
Liquidity buffer
0%
Scenario engine
Stress Tests
Generated analysis brief
Product Overview
Built for portfolio decisions where context matters.
Stat Edge Capital is AI-assisted portfolio analysis software. The platform helps users compare portfolio intent against actual holdings, surface hidden exposures, and prepare client-ready reports with traceable assumptions.
Unified AI analysis workspace.
We combine holdings ingestion, factor diagnostics, scenario analysis, report generation, and review logs in a single workflow that keeps every output tied to data.
Advisors, family offices, and active investors.
The first release targets small advisory teams and sophisticated investors who need fast review packets without hiring a full quant engineering team.
Explainability first.
Each insight includes calculation sources, confidence notes, and review history so users can trust, challenge, or override model output.
Workflow
From holdings to board-ready analysis.
The platform is designed as a repeatable operating workflow for portfolio reviews, not a one-off chatbot. Users can upload or connect holdings, define policy targets, run analysis, save assumptions, and export a packet for review.
01
Import holdings, cash, benchmarks, and policy constraints
02
Compute risk, factor overlap, concentration, tax, and liquidity signals
03
Generate an AI explanation with citations to portfolio data and assumptions
04
Export review packets and retain audit logs for internal supervision
Infrastructure
Secure, scalable analytics for professional portfolio workflows.
Stat Edge Capital is designed around encrypted portfolio data, governed AI output, batch scenario analysis, and reliable report delivery for advisor and investor teams.
Model governance
Analysis briefs are tied to portfolio inputs, scenario assumptions, prompt versions, and reviewer actions so teams can challenge or approve model output before use.
Data operations
Holdings, benchmarks, research notes, and report history are separated into structured workflows with retention controls and customer-scoped permissions.
Reliability
The infrastructure supports monitored analysis workers, resilient report exports, audit logs, encrypted backups, and controlled release gates for customer usage.
Access
Access options for individual and team portfolio reviews.
Initial customers can start with lightweight portfolio reviews, then expand into team-level workflows as data integrations and reporting volume grow.
Research Preview
$0
Early access for users contributing portfolio-review workflow feedback.
- Sample and uploaded portfolio analysis
- Scenario and concentration diagnostics
- Quarterly product feedback calls
Advisor Studio
$299/seat monthly
For RIAs and family-office teams that need shared client workspaces.
- Client portfolio workspaces
- Model governance and review history
- PDF report export and data connectors
Managed Analytics
Custom
Deployment support for teams with custom datasets or compliance requirements.
- Dedicated cloud environment options
- Custom risk models and report templates
- Security review and procurement support
Analysis Coverage
Reviews cover the portfolio questions teams ask repeatedly.
The workflow centers on input quality, allocation drift, downside scenarios, and report-ready explanations that can be reviewed before use.
Holdings
Normalize portfolio inputs
Ingest holdings, cash, benchmarks, and constraints into a consistent review model.
Risk
Surface hidden exposures
Compare allocation targets against factor overlap, concentration, and liquidity signals.
Scenarios
Model downside pressure
Run stress scenarios and explain which positions drive estimated drawdown.
Reports
Package reviewable findings
Export analysis briefs with assumptions, source references, and reviewer notes.
FAQ
Clear boundaries for an AI finance product.
Does Stat Edge Capital provide investment advice?
No. The platform provides portfolio analytics, risk explanations, and research workflows. It does not provide personalized investment, legal, tax, or accounting advice. Users remain responsible for decisions and client suitability obligations.
What data does the platform analyze?
Product data sources include user-provided holdings files, benchmark definitions, portfolio policy constraints, market data, factor datasets, and internal research notes. Portfolio ingestion requires explicit user consent.
How are AI outputs governed?
Outputs are designed to include references to source holdings, calculation inputs, scenario assumptions, timestamps, and reviewer actions. High-impact recommendations require human review before client use.
Why is cloud infrastructure needed?
The product requires secure storage, model orchestration, batch analytics, customer-isolated environments, monitoring, and scalable compute for portfolio simulations. The detailed approach is available on the Infrastructure page.
Contact
Request access or ask about portfolio analysis.
For product access, advisor workflows, security review, or portfolio-analysis questions, use this form or email contact@statedgecap.pro.