Exclusive to MOMO Pro Ultra

Depth behind the move.

Aura AI combines live market context, company fundamentals, news, price behavior and user-directed analysis inside the MOMO Pro workflow.

Explore MOMO Pro Ultra See MOMO + Aura
Multi-source analysisRealtime market contextUser-directed modelingNo autonomous trade execution
NEWSReleases · reports
FUNDAMENTALSEarnings · filings
PRICEMomentum · risk
MACRORates · inflation
SCHEDULERPrompts · alerts
Aura AI
Synthesized intelligence

Multiple perspectives. One explainable response.

Aura organizes specialized analysis around the question instead of forcing a trader to collect and reconcile each data source manually.

News + filings

Relate releases, analyst commentary, earnings and SEC material to what price and volume are doing now.

Price dynamics

Evaluate momentum, extension, volatility and market context without disconnecting the answer from the active symbol universe.

Scheduled agents

Run defined prompts on a cadence and deliver resulting summaries or notifications when a condition warrants attention.

Ask the data

Move from reading panels to interrogating context.

Aura is designed to help active traders test assumptions, summarize earnings, compare scenarios and model uncertainty without leaving the market workspace.

  • Validate a setup against news, financials and momentum evidence.
  • Ask natural-language questions across a watchlist or filtered universe.
  • Run scenario and Monte Carlo analysis where supported.
  • Explain why a result was surfaced instead of returning an unexplained score.
Example workflow

“Show high-relative-volume technology names with positive earnings revisions and explain the principal risks.”

1. Universe
Start with the current MOMO screen or watchlist.
2. Context
Combine price, volume, filings, news and macro inputs.
3. Response
Return an explanation, evidence and uncertainty—not a trade instruction.
Savant-grade workflow

More than a generic chatbot attached to a scanner.

Contextual filtering

Distinguish movement with a catalyst from movement without one.

Aura can relate news sentiment, timing and company events to volatility rather than treating every headline as equally meaningful.

Vector synthesis

Connect semantically related evidence.

Analyze relationships among earnings calls, filings, Fed commentary, market themes and names already in the user’s workflow.

Modeling

Turn a question into a structured analysis.

Use scenario analysis, historical context and explicit assumptions to test a thesis while keeping the final decision with the trader.