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FinSight AI
FinSight AI is an open-source A-share research workspace that generates evidence-grounded financial reports with recoverable workflows.
FinSight AI is an open-source A-share research workspace and backend engineering reference for reliable artificial intelligence agents. It turns market data, financial metrics, filings, and company events into structured research reports. Long-running tasks are recoverable with explicit task states and retries, duplicate executions are controlled via Redis, and reports are bound to data snapshots. The system uses a Spring Boot backend for domain state and orchestration, alongside a FastAPI Python sidecar for model-facing operations supporting Ollama, OpenAI-compatible APIs, and Anthropic. It provides dedicated workspaces for company research, AI analysis, evidence verification, recent events, and watchlists.
FinSight AI at a glance
Key features
- Generate structured AI analysis reports with confidence and risk factors
- Recover long-running tasks with explicit states and retries
- Control duplicate work using Redis Lua single-flight leases
- Bind reports to source data via snapshot and context hashes
- Perform hybrid retrieval using full-text and vector search with reranking
- Track company events, disclosures, and risk signals on a timeline
Use it for
- Research A-share companies and inspect financial metrics
- Generate AI analysis reports with supporting and risk factors
- Search filings, announcements, and metrics for verifiable evidence
- Review company disclosures and metric changes on a timeline
- Maintain a watchlist of companies for continued research
Alternatives to FinSight AI
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- FinGPT — Access open-source financial language models and APIs at a low cost.
- A-Stock Data — Provides structured, ready-to-use A-share market data for AI models without authentication.
- TradingAgents A-Share — It features seven specialized A-share analysts and free direct data sources with no API key required.
- fin — Runs locally, uses Plaid for free, and integrates with AI agents and SQL.
- Tracelight — Accuracy in complex financial modeling with full citation of all data sources.
- FinRobot — Automates the creation of professional financial analysis and research reports.
- AI Berkshire — It forces clear conclusions with specific price ranges and multi-agent debate.
- FinRL — Build trading agents with a unified Python framework and reusable strategy components.
- RowSpeak — It automatically turns messy business files into reviewable charts, dashboards, and reports.
- Global Stock Data — Connects AI coding assistants directly to official US financial data sources.
- Daloopa — Extracts financials with source-linked data and cuts model building time by 70%.
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