How I Built a Real-Time AI Stock Advisor Using Elasticsearch, MCP, and LLMs
SMRTR summary
Frustrated by confusing stock markets and the fact that up to 90% of retail traders lose money, one engineer built an automated AI stock advisor to cut through the noise. Running on Elasticsearch, Apache Airflow, and a locally hosted LLM, the system ingests price data and news sentiment nightly, calculates momentum scores before markets open, and delivers a plain-English advisory by 8:32 AM.
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