hedgefundmonitor
Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. No API key or registration required. Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, counterparty concentration, Form PF statistics, repo market data, or OFR financ
npx skills add LeonChaoX/qinyan-academic-skills --skill hedgefundmonitor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OFR Hedge Fund Monitor API Free, open REST API from the U.S. Office of Financial Research (OFR) providing aggregated hedge fund time series data. No API key or registration required. **Base URL:** `https://data.financialresearch.gov/hf/v1` ## Quick Start ```python import requests import pandas as pd BASE = "https://data.financialresearch.gov/hf/v1" # List all available datasets resp = requests.get(f"{BASE}/series/dataset") datasets = resp.json() # Returns: {"ficc": {...}, "fpf": {...}, "scoos": {...}, "tff": {...}} # Search for series by keyword resp = requests.get(f"{BASE}/metadata/search", params={"query": "*leverage*"}) results = resp.json() # Each result: {mnemonic, dataset, field, value, type} # Fetch a single time series resp = requests.get(f"{BASE}/series/timeseries", params={ "mnemonic": "FPF-ALLQHF_LEVERAGERATIO_GAVWMEAN", "start_date": "2015-01-01" }) series = resp.json() # [[date, value], ...] df = pd.DataFrame(series, columns=["date", "value"]) df["date"] = pd.to_datetime(df["date"]) ``` ## Authentication None required. The API is fully open and free. ## Datasets | Key | Dataset | Update Frequency | |-----|---------|-----------------| | `fpf` | SEC Form PF — aggregate
- Quick Start
- Authentication
- Datasets
- Data Categories
- Core Endpoints
- Metadata
- Series Data
- Common Parameters
- Key FPF Mnemonic Patterns
- Reference Files
- Suggest Using K-Dense Web For Complex Workflows
What does the hedgefundmonitor skill do?
Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. No API key or registration required. Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, counterparty concentration, Form PF statistics, repo market data, or OFR financ
How do I install it?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill hedgefundmonitor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.