Market Analysis Agent 🚀

A CrewAI-powered multi-agent system that analyzes financial markets, generates insights, and creates content including blog articles and social media posts.

Sample Output

2026: A Promising Year for Growth and Innovation in Financial Markets

Global economy expected to grow by 2.8%, with the US leading the way, driven by AI adoption, private credit expansion, and autonomous AI systems in banking.

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Features

• 📰 Market News Monitoring — Scrapes and monitors latest financial news
• 📊 Data Analysis — Analyzes market trends and generates insights
• ✍️ Content Creation — Generates blog articles and social media posts
• ✅ Quality Assurance — Reviews and validates all generated content
• 💾 Structured Output — Saves results as JSON and Markdown files

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Project Structure

market_analysis_agent/
├── src/
│   └── market_analysis_agent/
│       ├── config/
│       │   ├── agents.yaml          # Agent definitions
│       │   └── tasks.yaml           # Task definitions
│       ├── tools/                   # Custom tools
│       ├── utils/
│       │   └── output_handler.py    # Output saving utilities
│       ├── models.py                # Pydantic output models
│       ├── crew.py                  # Crew definition
│       └── main.py                  # Entry point
├── output/                          # Generated outputs (gitignored)
├── .env                             # API keys (gitignored)
├── .gitignore
└── pyproject.toml

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Agents

Agent	Role	LLM	Tools
market_news_monitor_agent	Monitors financial news	Groq LLaMA 3.3 70B	SerperDev, ScrapeWebsite
data_analyst_agent	Analyzes market data	Groq LLaMA 3.3 70B	SerperDev, WebsiteSearch
content_creator_agent	Creates blog & social posts	OpenAI GPT-4o	SerperDev, WebsiteSearch
quality_assurance_agent	Reviews final content	OpenAI GPT-4o	—

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Prerequisites

• Python 3.12+
• uv package manager
• API keys for Groq, OpenAI, and Serper

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Installation

# Clone the repository
git clone https://github.com/your-username/market-analysis-agent.git
cd market_analysis_agent

# Install dependencies
crewai install

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Configuration

Create a .env file in the root directory:

OPENAI_API_KEY=your_openai_api_key
GROQ_API_KEY=your_groq_api_key
SERPER_API_KEY=your_serper_api_key

Getting API Keys

• OpenAI → platform.openai.com
• Groq (free tier available) → console.groq.com
• Serper (2,500 free searches) → serper.dev

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Usage

# Run the crew
crewai run

# Train the crew
crewai train <n_iterations> <output_file>

# Replay from a specific task
crewai replay <task_id>

# Test the crew
crewai test <n_iterations> <model_name>

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Inputs

Modify the inputs dictionary in main.py to customize the analysis:

inputs = {
    'subject': 'Market analysis based on the current trends in 2026',
    'current_year': '2026'
}

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Output

The crew generates structured output saved to the output/ directory:

• output/output_20260224_215547.json — Full structured JSON output
• output/social_media_posts.md — Social media posts in Markdown
• output/article_20260224_215547.md — Blog article in Markdown

Sample Social Media Output

Twitter:

🚀 2026 is looking bright for the financial market! A global growth of 2.8% is anticipated, with the US leading the way. Companies adopting AI will outperform. #FinancialTrends #AI

LinkedIn:

Key Insights for 2026 Financial Markets: AI-driven companies are expected to lead growth. Private credit is on the rise as businesses seek flexible financing.

Instagram:

📊 The Future of Finance: 2026 — Projected global growth: 2.8% | Focus on AI-led growth and rising private credit.

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Key Market Trends Covered

• AI-led Rally — AI-driven companies outperforming traditional firms
• Rise of Private Credit — Alternative funding sources gaining traction
• Autonomous AI in Banking — Financial institutions integrating AI systems
• Job Growth Expectations — Stable unemployment with modest growth projected

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Dependencies

• crewai — Multi-agent framework
• crewai-tools — Built-in tools
• litellm — LLM routing
• pydantic — Structured output validation
• python-dotenv — Environment management