hedgefundmonitor

Query the OFR Hedge Fund Monitor API for aggregated hedge fund time-series data.

48|6|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/qinyan-ai/qinyan-academic-skills --skill hedgefundmonitor-qinyan-ai
Or copy as Structured Prompt for Agent
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Skill: hedgefundmonitor
Source: https://github.com/qinyan-ai/qinyan-academic-skills/tree/main/skills/15-%E9%87%91%E8%9E%8D%E4%B8%8E%E7%BB%8F%E6%B5%8E%E6%95%B0%E6%8D%AE/hedgefundmonitor
Command: npx skills add https://github.com/qinyan-ai/qinyan-academic-skills --skill hedgefundmonitor-qinyan-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Hedge fund research and risk monitoring require timely, consolidated access to open data describing hedge fund size, leverage, and funding conditions. This Skill centralizes access to OFR Hedge Fund Monitor time series data, including SEC Form PF aggregates, CFTC Traders in Financial Futures, FRB SCOOS dealer financing terms, and FICC Sponsored Repo volumes.

Core Features & Use Cases

  • Retrieve open, time-series data for hedge funds without API keys.
  • Access aggregated Form PF statistics, dealer financing terms, and repo volumes for systemic risk analysis.
  • Use in academic research, policy analysis, or financial stability monitoring to track leverage, liquidity, and counterparty exposure.

Quick Start

Query the OFR Hedge Fund Monitor API to fetch the latest hedge fund time-series data and metadata for your research workflow.

Frequently Asked Questions about hedgefundmonitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve OFR Hedge Fund Monitor time series data without an API key?

This skill retrieves OFR Hedge Fund Monitor data without requiring an API key or registration. It accepts optional filters for dataset, date range, and aggregation, returning JSON-ready time-series data for systemic risk assessment.

What hedge fund datasets are available for systemic risk assessment?

Available datasets include SEC Form PF aggregates, CFTC Traders in Financial Futures, FRB SCOOS dealer financing terms, and FICC Sponsored Repo volumes. These datasets help track hedge fund leverage, liquidity, and counterparty exposure.

Can I filter Form PF statistics by specific date ranges and aggregations?

Yes, you can filter Form PF statistics by date range and aggregation. The skill accepts optional parameters for dataset selection and temporal filtering, returning JSON-ready aggregated time-series data for research workflows.

How does FICC Sponsored Repo volume data help analyze hedge fund leverage?

FICC Sponsored Repo volume data helps analyze hedge fund leverage by tracking dealer financing conditions. Combined with FRB SCOOS data, it provides insights into funding liquidity and counterparty exposure for systemic risk monitoring.

What is the best way to access CFTC Traders in Financial Futures data for academic research?

The best way to access CFTC Traders in Financial Futures data for academic research is through this skill. It provides open, aggregated time-series data without API keys, returning JSON-ready results for policy analysis workflows.

Are there limitations to using open OFR data for real-time hedge fund risk monitoring?

A limitation of using open OFR data for real-time hedge fund risk monitoring is that it provides aggregated time-series rather than real-time individual fund data. It is designed for systemic risk assessment and policy analysis workflows.