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The project involves using public financial documents (SEC filings, earnings call transcripts) to build a RAG-based system that answers financial questions with grounded citations. This addresses the challenge of extracting reliable insights from long, unstructured…
The project involves using public financial documents (SEC filings, earnings call transcripts) to build a RAG-based system that answers financial questions with grounded citations. This addresses the challenge of extracting reliable insights from long, unstructured…
Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.
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Official QuantConnect MCP server: write Python trading strategies, run cloud backtests, and deploy live algorithms
