hegeo

hegeo / Lobster-Research

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AI-Powered Financial Research Report Generator AI 驱动的金融研究报告生成助手

autonomous-research autoreportgen autoresearch clawhub market-analysis
11
0
100% credibility
Found May 07, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Lobster Research is an AI-powered tool that creates professional financial reports on stocks, markets, industries, and portfolios from everyday language requests.

How It Works

1
🔍 Discover Lobster

You hear about Lobster from a friend who's using it to get quick stock insights without digging through news sites.

2
📥 Bring it home

Download the folder to your computer and prepare it with a simple setup so it's ready to use.

3
⚙️ Tell it about you

Share your investment style like balanced or cautious so it tailors advice just for you.

4
💬 Ask naturally

Just type what you want like 'analyze ZTE stock' or 'today's market news' and watch it go to work.

5
📊 It gathers insights

Lobster pulls fresh market data, news, and trends to build your custom report.

📄 Get your report

Receive a beautiful PDF full of charts, summaries, and smart suggestions to guide your decisions.

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Star Growth

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AI-Generated Review

What is Lobster-Research?

Lobster-Research is a Python-based AI-powered financial research report generator that turns natural language queries into structured outputs like real-time news flashes, 3-5 page quick PDFs, or 8-15 page deep dives on stocks, sectors, or portfolios. It pulls data from sources like Sina Finance, Tencent, and AKShare, then hands off to an AI agent for synthesis into professional reports with charts and themes. Users get CLI commands for standalone use or plug it into agent platforms for seamless workflows.

Why is it gaining traction?

It stands out with smart NLP routing that auto-matches queries to 28 configurable templates across 23 domains, from A-shares to biotech, blending code for reliable data grabs with AI for insights—think ai powered financial advisor meets ai powered financial analysis without manual scraping. Multi-engine search (Tavily, Baidu, Bing) and hot-reload configs make it adaptable, while pretty PDF themes and portfolio OCR add polish that generic ai powered financial tools lack. Developers dig the OpenClaw compatibility for agentic ai powered projects github setups.

Who should use this?

Stock investors scheduling daily market scans or portfolio checks, industry analysts tracking trends like AI chips or EVs, and researchers needing cited reports on non-financial topics like military or space tech. Ideal for finance pros building ai powered financial assistant workflows or quant hobbyists automating insights via CLI.

Verdict

With 11 stars and 1.0% credibility, it's early-stage—docs are solid via bilingual README but expect tweaks for production. Worth forking for custom ai powered financial research if you're in finance dev; skip if you need battle-tested scale.

(198 words)

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