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@william-burks
william-burks
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William Burks william-burks

SWE II @ JPMorgan Chase • Building QuantWorkstation (systematic-trading research platform) • Headed for quant engineering

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  1. QuantWorkstation QuantWorkstation Public

    End-to-end algo trading workbench: data collection → research → strategy → execution. Crypto (Alpaca) + futures (IBKR), Neo4j research provenance graph, prop-firm-style risk engine.

    Python 1

  2. unified-search-mcp unified-search-mcp Public

    MCP server for unified semantic search across research artifacts — papers, experiments, hypotheses, notes. Built on FastMCP + ChromaDB + SQLite FTS5.

    Python

  3. markowitz-api markowitz-api Public

    FastAPI service for Markowitz mean-variance portfolio optimization — efficient frontier + max-Sharpe allocation via SciPy SLSQP

    Python

  4. finbert-sentiment-trader finbert-sentiment-trader Public

    Archived 2024 sentiment-trading experiment — post-mortem on position sizing and signal-quality failures. Superseded by QuantWorkstation.

    Python

  5. limit-order-book limit-order-book Public

    Limit order book in C++. Iterative build: v1 std::map (correctness), v2 price-level array (O(1) top-of-book), v3 lock-free SPSC queue.

    C++

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