AGENT_01 · Financial Research Workspace

Scout Financial

Investigate company claims with traceable evidence. Correlates market quotes, statutory regulatory filings (SEC, NSE/BSE), and multi-channel public discussion to verify financial rumors.

Live QuotesMarket Data
Dispersion Z-ScoreAnomaly Detection
Multi-ChannelSource Coverage
Audit TrailSource Ledger
ONLINEModule Status
CHANNEL ADAPTERS: Web (Jina) RSS & Wires Reddit X / Twitter YouTube Bilibili V2EX GitHub Source Adapter Health • Multi-Channel Ingestion
// RESEARCH TICKER OR CORPORATE ENTITY
Quick Research: Tata Motors (TATAMOTORS.NS) Reliance (RELIANCE.NS) Nvidia (NVDA) Tesla (TSLA) Apple (AAPL)
// REFERENCE CASE STUDY
Unverified Short-Seller Rumor Scenario

This case study demonstrates how Scout compares trading volume anomalies against statutory filings (SEBI, NSE, SEC) to corroborate or refute market rumors.

-5.8% Δ
Simulated Sell-off
4.2σ
Dispersion Z-Score
0 Filings
Regulatory Portal Cross-Check
// INVESTIGATION PIPELINE SPECIFICATION
StageOperationComplexityOutput
01 · INGEST Exchange quote ingestion and historical closing series. SHA-256 deduplication per record. O(N) quote bundle
02 · Z-SCORE Statistical dispersion Z = (P_t − μ) / σ. Threshold |Z| ≥ 2.0σ flags abnormal volatility. O(1) Z-score Δ
03 · DISPATCH Concurrent multi-channel retrieval across news wires, regulatory filings, and public discussions. O(channels) evidence_fragments[]
04 · SYNTHESIS Source provenance tagging, wire syndication clustering, contradiction matrix, and consensus scoring. O(k log k) evidence dossier

// SOURCE PROVENANCE & QUALITY DIMENSIONS