SignalOps · MarketOps
See the opportunities your evidence supports
Equity prices, options surfaces, technicals, and financial statements become governed evidence, evaluated by versioned deterministic algorithms, and presented with the inputs and reasons an analyst needs to assess them. Built for research decision support and analyst review.
The daily review process
A research workflow, persisted
The dashboard summarizes research breadth across the watchlist as evidence for analyst review. Post-close operation means weekday processing begins after the completed session; strategic financial context refreshes weekly.
The MarketOps philosophy
The premise: see the opportunities your evidence supports.
Turn data into signals
Post-close ingestion normalizes every session into governed evidence. Versioned detectors watch explainable state transitions.
Turn signals into evidence
Every signal retains the facts and lineage behind it: which observations fired, from which sources, under which algorithm version.
Turn evidence into opportunity
Convergence surfaces what merits review before the analyst knows to ask. Conviction stays with the analyst.
From data to awareness
Situational, enhanced, proactive
MarketOps layers its surfaces the way an analyst actually works: understand the situation, sharpen it with cross-signal context, then act on what converges.
Capabilities
Versioned algorithms, persisted evidence
Market State Intelligence
One canonical, versioned snapshot per asset per session across normalized feature domains, with persisted state transitions: level change, z-score, percentile, acceleration, regime change, cross-bucket migration.
Strategic research, weekly cadence
Valuation Composite (0-10 explainable relative valuation) and Distressed Opportunity Scoring (value, operating quality, cash generation, debt profile) refreshed from financial statements, cached between refreshes.
Tactical evidence, daily cadence
Post-close technical posture, implied-volatility regime across the 30/60/90-day surface, and Exhaustive Reversal detecting extended movement with fading or climactic participation.
Convergence over noise
The Convergence Opportunity Builder elevates review items only when at least two independent sources agree. Earnings Opportunity Intelligence scores pre-earnings setup quality from persisted evidence.
Sector Rotation Intelligence
Price-led cross-sectional context from 5-, 20-, and 60-session ETF returns, benchmark-relative strength, momentum, and acceleration, with rotation, flow, and breadth engines staying outside its scope.
Signal Assurance on every call
Confirmed signals become testable assertions graded by time-to-materialization and path quality, attributed to the exact algorithm version that produced them.
Analysis surfaces
Where the evidence gets read
Boundary
Scores are research artifacts for analyst review; price targets and trading recommendations stay outside the platform.
MarketOps does not place orders, alter portfolios, or issue investment recommendations. Determinism and evidence are the solution; conviction stays with the analyst.
Options data cannot distinguish buyer from seller, opening from closing, or hedge intent. The system says so.
Governed knowledge assurance
See MarketOps on live data.
We will walk the daily loop: post-close ingestion, market-state snapshots, convergence review, and the assurance ledger grading every confirmed signal.