Signal AI Capital is a systematic options fund powered by a fully autonomous AI engine. We remove human emotion from the equation — navigating liquid ETF markets with speed and precision no discretionary manager can match.
View the FrameworkInstitutional options flow in liquid ETFs creates persistent, quantifiable inefficiencies. Human traders cannot process and act on these signals at scale. Our AI engine can — navigating liquid ETF markets with speed and precision, continuously, across a curated universe of high-liquidity instruments.
Signal AI Capital deploys a systematic, rules-based options strategy across a curated ETF universe. Every position is sized, entered, and exited by the AI — no discretionary input, no exceptions.
We trade options exclusively on a defined set of high-liquidity ETFs — SPY, QQQ, IWM, GLD, TLT, and sector equivalents. This concentration ensures tight spreads, reliable execution, and deep historical signal data.
Proprietary signal detection identifies structural options flow imbalances, volatility surface dislocations, and momentum inflections. The AI engine triggers trades only when multiple confirmation layers align — no guessing, no gut feel.
Position size is calibrated dynamically based on signal confidence, current portfolio exposure, and real-time volatility regimes. The engine reduces risk automatically in adverse conditions — no manual intervention required.
Maximum drawdown thresholds are enforced at both the position and portfolio level. The engine halts new entries if daily or monthly loss limits are breached, preserving capital ahead of any recovery sequence.
The fund's architecture was designed from the ground up around a single principle: eliminate every source of human error from the trading process.
No portfolio manager overrides. No committee approvals. The AI executes per its rules — consistently, every session. Human emotion is structurally removed from the P&L.
Signal detection to order submission occurs in milliseconds. The engine captures entry windows that no human trader can reliably hit at scale.
The signal logic, position sizing engine, and risk framework are internally developed and protected. No off-the-shelf platform. No replicable toolset.
By limiting the universe to liquid ETFs, the fund avoids single-stock event risk, earnings surprises, and illiquidity — categories where systematic edge erodes fastest.
The architecture supports significant AUM growth without degrading execution quality. Liquidity in the ETF options universe absorbs capital at multiples of early-stage fund size.
The underlying AI engine has been operating and generating auditable signal data in live market conditions — not a backtest, not a simulation.
Signal AI Capital is structured as a Delaware LP. The management company acts as General Partner. All investors must qualify as accredited investors under Regulation D.
| Fund Structure | Delaware Limited Partnership |
| Offering | Reg D 506(c) — Accredited Investors Only |
| Management Fee | 2% annually on AUM |
| Performance Fee | 50% of net profits above high-water mark |
| Minimum Investment | $250,000 |
| Liquidity | Quarterly redemptions with 60-day notice |
| Lock-Up | 12 months from initial subscription |
| Auditor | Independent, TBD at launch |
| Administrator | Third-party fund administrator — NAV monthly |
| Prime Broker | TBD — Interactive Brokers / Goldman Sachs |
| Target AUM (Year 1) | $5M – $15M |
| Target AUM (Year 3) | $50M – $100M |
Form Delaware LP and management company. Engage securities attorney. Draft PPM, subscription documents, and LP agreement. Establish prime brokerage relationship and fund administrator.
Open fund to friends, family, and initial accredited investors. Target $500K–$2M seed round. Begin generating auditable fund-level performance record under formal structure.
Formalize IR function. Develop quarterly reporting cadence. Begin outreach to family offices and high-net-worth investor networks. Target $5M–$15M AUM by end of year one.
Register as RIA upon reaching applicable AUM thresholds. Engage institutional placement agents. Target first institutional LP commitment. Scale AUM toward $50M–$100M by year three.
Architect of the Signal AI engine and the underlying signal detection framework. Responsible for strategy development, technology infrastructure, risk oversight, and overall fund management. Combines deep technical expertise with direct market operations experience.
Leads investor relations, LP development, and capital formation strategy through G3 Capital relationships and broader institutional network. Responsible for growing and managing the fund's investor base from seed through institutional scale.
Qualified accredited investors may request the full PPM, track record data, and a one-on-one introduction call with the managing partner.