On-prem equities and options decision support: ranked candidates with explicit rationale, theoretical values and Greeks, IV surface workflows, risk gates, and replayable outputs. Not a broker. Not financial advice. No trade execution.
Active equity and options traders need structured, fast, evidence-backed market intelligence—without the noise, without the latency, and without handing control to an algorithm that can't explain itself.
EdgeOS provides a ranked view of candidates with explicit, inspectable rationale. Every score, ranking, and risk flag is derived from observable data with a traceable calculation. The operator reviews the output and makes the decision. The system does not act.
Deployment
On-prem
Data
Real-time feeds
Execution
None — ever
Outputs
Ranked + replayable
Testing
Shadow mode
Outcomes
Paper tracking
Equities and options are ranked by configurable scoring criteria. Each ranked candidate displays the factors contributing to its score—no black-box outputs. Operators can inspect and filter.
Options theoretical values, delta, gamma, theta, vega, and rho are calculated and displayed alongside market prices. IV rank and IV percentile are surfaced in context.
Implied volatility workflows support structure selection: IV rank relative to historical, term structure, and skew views for informed expiration and strike selection—all advisory, all operator-driven.
Earnings dates, dividend ex-dates, FOMC windows, and expiration cycles are integrated into candidate context. Risk events are surfaced as flags, not filtered out silently.
Configurable liquidity gates (bid/ask spread thresholds), staleness flags (stale quote detection), and session window rules filter out candidates that fail minimum data quality standards.
New logic runs in parallel, read-only, against live data before promotion. Paper outcomes (mark-to-market, not real positions) are tracked for calibration without capital exposure.
Paper outcomes only. EdgeOS tracks mark-to-market results of its candidate rankings on paper—not as real positions. This exists solely to help operators calibrate the model's usefulness, not to simulate or imply a trading track record.
EdgeOS is explicitly designed to support — and never to replace — operator judgment. Shadow mode ensures new logic is observed before it influences recommendations. Read our Governed intelligence, not guesswork framework →
Operators who want a structured, evidence-backed candidate pipeline rather than a crowded scanner or a black-box recommendation engine.
Teams that need reproducible, defensible market intelligence that can be reviewed, challenged, and calibrated—not just consumed.
Organizations building internal research infrastructure that must remain on-prem, operator-controlled, and free from third-party data dependencies.
We'll walk through your candidate selection process, your data sources, and what structured decision support—with full auditability—looks like for your operation.