Now accepting investor access requests — begin NDA-gated diligence →
SW Structured Wealth

Algorithmic Portfolio Strategies

A modern alternative to opaque trading programs.

Institutional-grade machine learning strategies with controlled visibility, NDA-gated access, and reporting designed around what sophisticated investors actually want to verify: current PnL, OOS results, positions, and trades.

API-fed reporting · Manual approval · Your diligence process, your pace

Your control layer

Your data room. Your approval workflow. Your visibility rules.

This section mirrors the reference’s investor-control framing, adapted for a private institutional strategy sale.

Your capital stays yours

Structured Wealth never needs custody of client capital. Reporting and execution visibility are separated from fund control.

NDA-gated diligence

Detailed metrics, current positions, and the full trade list stay private until a prospect completes the approval workflow.

Professional oversight

The ML engine is presented with human supervision, risk governance, and explicit operating boundaries.

No black-box reporting

Approved users see current PnL, OOS PnL, open positions, and trade history in one portal.

API-fed transparency

Performance and exposure data can be pulled from your strategy API instead of manually rebuilt for each conversation.

Disconnectable access

Investor accounts, reporting permissions, and NDA status can be revoked or updated independently.

Strategy Menu

Choose what matches the allocator conversation.

The Vector-style page uses clear strategy blocks. Here, they become structured sleeves for evaluation rather than consumer product cards.

Index futures execution

ML Futures Sleeve

Directional and volatility-aware futures model designed for controlled exposure and fast feedback through the reporting portal.

Market NQ / ES style futures
Approach Machine learning signal stack
Visibility Positions + trade list
Best for Higher-conviction growth allocation

Diversified systematic sleeve

Multi-Strategy Basket

A broader systematic allocation concept for investors evaluating multiple model families and a more diversified risk profile.

Market Multi-instrument basket
Approach Model blend + risk filters
Visibility Current and OOS PnL
Best for Risk-balanced diligence

What Actually Changes

Traditional diligence vs. a controlled live reporting portal.

Dimension Structured Wealth Conventional Process
Market stress Models adapt to live conditions Wait for an advisor update
Decision layer Rules, signals, and risk gates Human bias and committee lag
Visibility Portal with positions and trades Quarterly PDF or call summary
Access model NDA, approval, account status Sales call first
Fee conversation Specific terms after diligence AUM framing by default

Verify Everything

Questions this layout answers quickly.

What is this page testing?

A more direct, long-form conversion structure inspired by algorithmic advisory pages: clear promise, control points, strategies, proof, comparison, and FAQ.

Does this replace the current homepage?

No. It is an experiment page. If this style works, the strongest sections can be migrated into the main site.

Can this connect to real data?

Yes. The existing Astro API layer already has endpoints for summary metrics, positions, trades, and strategy data sync.

What stays protected?

Current positions, the full trade list, detailed performance, and account data remain behind the approved investor portal.

Getting Started

Three steps. Clear gate. No public data leak.

Step 1

Request access

Submit basic context so the team can understand the diligence path and intended use case.

Step 2

Complete NDA

Move from public positioning into protected review only after the agreement workflow is complete.

Step 3

Review the portal

Inspect current PnL, OOS results, positions, trade history, and operating notes in one place.

Verification

Built for skeptical review.

A professional buyer should be able to verify the core claims, understand access boundaries, and see exactly what information becomes available after approval.

Confirm data recency Every performance view should make update time and source clear.
Review risk controls Risk language should describe exposure limits, model oversight, and drawdown handling.
Inspect trade visibility The protected portal should make trade history concrete, not implied.
Validate access status The account state should clearly indicate whether the prospect is pending, approved, or restricted.

Founder / Process Narrative

Explain the operating philosophy before asking for trust.

Why this exists

Sophisticated systematic strategies are often presented either as opaque funds or underwhelming dashboards. This concept positions Structured Wealth as a more transparent, controlled alternative.

What the buyer controls

The investor controls whether to enter diligence, what information to request, and whether the strategy fits their mandate after reviewing the portal.

What the system controls

The strategy controls signal processing, risk gating, execution logic, and reporting updates through defined infrastructure.

Risk Controls

Make risk management part of the sales story.

This page direction can support a full risk section that gives investors confidence without overpromising. The message should be that risks are identified, monitored, and reported clearly.

Position limits Defined exposure rules for each sleeve.
Drawdown monitoring Visible risk notes and state changes in the reporting layer.
OOS separation Validation series shown separately from live production performance.
Trade review Execution history visible for approved review.