AI Analysis & Search

Semantic Search Across All Signals. Conviction Scores from Multi-Agent Synthesis.

Search across every signal, filing, and policy document with natural language. The AI synthesizes outputs from all five agents into conviction scores you can act on.

Key Benefits

Semantic search across all signals, filings, and policy documents in one query
AI document analysis turns lengthy filings into key takeaways with affected tickers
Conviction score generation combines signals from all five agents into -100 to +100 scores
Company impact assessments show how policy changes and filings affect specific holdings
Cross-signal pattern detection identifies when multiple agents agree on direction
Natural language questions about any document, filing, or signal in the system

How It Works

1

Signal Ingestion

All five AI agents continuously generate signals from filings, insider trades, institutional holdings, policy changes, and options flow. Each signal is indexed for semantic search.

2

Semantic Search & Analysis

Search across all signals and source documents using natural language. Ask questions like "which energy companies have increasing insider buying and bullish policy signals?" and get instant, relevant results.

3

Multi-Agent Synthesis

The Synthesis Engine combines individual agent signals, weighing agreement and disagreement across agents to produce conviction scores. When Policy, Fundamentals, and Insider agents all agree, conviction is highest.

4

Outcome Tracking

Every conviction signal is tracked over 7-day, 30-day, and 90-day windows. Review historical accuracy to understand which signal combinations produce the best outcomes.

Frequently Asked Questions

Semantic search understands meaning, not just keywords. Ask "which companies face regulatory headwinds in the semiconductor sector?" and the AI finds relevant policy signals, filing risk factors, and analyst sentiment — even if those exact words do not appear in the documents.

Conviction scores range from -100 (strong bearish) to +100 (strong bullish). They are generated by the Synthesis Engine which combines signals from all five agents, weighting by signal strength, recency, and inter-agent agreement. Multi-agent consensus significantly boosts conviction.

The AI can analyze any document in the SignalEdge system: SEC filings (10-K, 10-Q, 8-K), Federal Register publications, congressional bills, earnings call transcripts, and Form 4 insider transaction patterns.

Pro subscribers receive a generous monthly allocation of AI credits. Semantic search, document analysis, and question answering each consume credits. Credit usage is displayed before each operation so there are no surprises.

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