Market Insights Server
A real-time commodity tracking system using Apache Spark, OpenAI GPT, and the MCP protocol to generate actionable market insights.
Features
- Real-time data collection from Reddit, News APIs, and Yahoo Finance
- Scalable processing using Apache Spark (PySpark 3.5.0)
- Natural language insights powered by GPT-4
- Configurable for any commodity market: energy, metals, agriculture, and more
- Built-in dynamic configuration generation and subreddit discovery
- Ready for deployment with error handling, retries, and async collection
Requirements
- Python 3.x
- PySpark 3.5.0
- Spark NLP 4.4.0
- aiohttp
- yfinance
- openai
- beautifulsoup4
Install dependencies:
pip install -r requirements.txt
Usage
python spark_market_insights_server.py --commodity "nickel"
Outputs:
- Cleaned text data from Reddit and news sources
- TF-IDF features
- GPT-4-powered insight report
- JSON export of insights
Architecture
-
Data Collection Layer
- Async scraping of Reddit and news articles
- Yahoo Finance for live price feeds
-
Processing Layer (Apache Spark)
- Tokenization → Stop words removal → TF-IDF vectorization
- Supports Spark NLP pipelines
-
AI Insight Layer
- Uses OpenAI GPT-4 to summarize and synthesize market narratives
-
Configuration Layer
- Automatically identifies relevant subreddits and keywords per commodity
🔍 Example Output
“Nickel prices rose sharply after Indonesia’s new export ban. Reddit sentiment is bullish, with posts anticipating supply constraints. Market data shows correlated uptick in EV-related equities like NIO and LI.”
🛠 Troubleshooting
| Problem | Fix |
|---|---|
| Spark stage stuck | Check memory settings, repartition input |
| API returns 429 | Add backoff/retry logic, rotate API keys |
| GPT returns empty | Use latest models, tune prompt |
Coming Soon
- Youtube videos to be analyzed as well for the commodities
- Public dashboard on Smithery.ai
Contributing
Have a new data source or insight model? PRs welcome!
License
MIT License
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Reviews
1
(1)
user_YWhrTNce
2025-04-17
As a devoted user of the mcp_server by jashchawla8, I am thoroughly impressed with its performance and reliability. This well-documented server application is highly efficient and user-friendly, making it an excellent choice for developers. The GitHub repository provides easy access and comprehensive guides, ensuring smooth implementation. Highly recommend checking it out!