OPEN FUNDING DATA
Bitfinex funding datasets
One catalog for live market observations, downloadable history and reproducible lending-strategy research. Every dataset includes its source and methodology.
Live market datasets
Inspect current rates and funding-book depth, or download observations for your own models and research.
LIVELive Bitfinex Funding Rates, FRR & APR | StratumTrack live Bitfinex USD, USDT and BTC funding rates, APR and FRR averages, with three years of daily history plus downloadable CSV and JSON data.BOOKLive Bitfinex Funding Book: Bids, Offers & FRR QueueRead the live Bitfinex USD, USDT and BTC funding book: fixed borrower bids, lender offers, FRR queue depth, terms, cumulative liquidity and utilization.CSVDownload 3-year CSVHourly FRR observations from Bitfinex funding statistics. The API FRR value is converted to a daily percentage, then multiplied by 365 for gross annualized APR. Window averages are arithmetic means before fees and compounding.MONTHMonthly funding-rate reportsA dated, citable record of what Bitfinex funding paid each month — average, high, low and spike days per currency.
Research datasets
Use published backtests and currency comparisons with explicit assumptions, fee treatment and reproducible downloads.
3YBitfinex Lending Backtest Data | 3 Years, 11 Strategies | StratumOriginal dataset: Bitfinex lending strategies replayed over 1,095 days of real funding-market data across USD, USDT, BTC and ETH. Net-of-fee APR, fill rate and utilization per strategy. Free to cite with attribution and a link.USD/USTBitfinex USD vs USDT Lending: Live Rates & Backtests | StratumCompare Bitfinex USD and USDT lending with live FRR, 24-hour, 7-day and 30-day averages plus 1,095-day backtests for 11 funding strategies.
Build with the data
Read the public API guide or publish the live rate widget on another website without adding a JavaScript dependency.
Source and methodology
Market observations come from Bitfinex public funding endpoints. Stratum normalizes daily rates, calculates simple annualized APR and documents sampling and backtest assumptions on each dataset page.
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