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RezaSoleymanifar

Vintage

by RezaSoleymanifar
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Python
Remote

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    TDQS

    A4.2/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool serves a unique, clearly delineated role: capabilities for introspection, resolve for entity mapping, discover for field search, fetch for data retrieval, events for timeline data, backtest for running strategies, benchmark for performance comparison, and status for system health. No two tools overlap in their core function.

    Naming Consistency5/5

    All tool names are single lowercase words (capabilities, resolve, discover, fetch, events, backtest, benchmark, status), following a minimal and uniform naming convention with no mixing of styles such as underscores or camelCase.

    Tool Count5/5

    8 tools provide a well-scoped interface for quantitative finance research, covering the full workflow from exploration to validation without unnecessary redundancy or excessive granularity.

    Completeness5/5

    The set provides a complete lifecycle: capabilities and discover facilitate exploration, resolve handles entity identification, fetch retrieves data, events offers time-series events, backtest tests strategies, benchmark compares against factors, and status monitors the system. There are no evident gaps for the stated purpose.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources