Signal Sync

Overview

Signal Sync is an AI-driven background verification system designed for retail investors. It uses a multi-agent architecture (CrewAI) to analyze companies across multiple dimensions, including management credibility, financial integrity, and market behavior, and generates a structured risk report with actionable insights.

The system combines real-time stock data, document analysis, and web intelligence to provide a comprehensive investment risk assessment.

Key Features

• Multi-agent AI system for automated company verification
• Company overview analysis including business model and market presence
• Management background checks to identify red flags or controversies
• Financial irregularity detection (debt patterns, anomalies, audit concerns)
• Scam detection using stock price and volume analysis
• Structured JSON output with risk scores and final verdict
• Interactive Streamlit dashboard for input and visualization

Tech Stack

• Frontend: Streamlit (interactive dashboard)
• Backend: Python with CrewAI
• Data: yFinance for stock data
• AI: OpenAI API for analysis
• Validation and Schema: Pydantic models
• Configuration: YAML-based agent and task system

Architecture

Signal Sync follows a modular multi-agent architecture:

• Agents Layer: Defined in YAML (research, financial, scam detection agents)
• Task Pipeline: Sequential execution of verification steps
• Data Layer: Stock data and document inputs
• Processing Layer: AI-driven analysis and anomaly detection
• Output Layer: Structured JSON report with scores and findings

Output

The system generates:

• Trustworthiness Score
• Financial Integrity Score
• Management Risk Score
• Market Manipulation Risk Score