Python Library for Funding Rate Arbitrage on Cryptocurrency Exchanges

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Introduction to Funding Rate Arbitrage

Funding Rate Arbitrage (FR Arbitrage) is a trading strategy that capitalizes on disparities in funding rates for the same cryptocurrency perpetual contracts across different exchanges. Traders combine long positions with low funding rates from one exchange with short positions from another exchange that offers higher funding rates to generate profits. Funding rates are periodic payments between long and short traders to ensure perpetual contract prices remain aligned with the underlying asset price.

Key Features of This Library

Supported Exchanges

ExchangePerpetual ContractsSpot Trading
Binance
Bybit
OKX
Gate.io
CoinEx
Bitget

👉 Explore advanced trading strategies to maximize your arbitrage opportunities.

Installation

Install the library directly from GitHub using pip:

pip install git+https://github.com/aoki-h-jp/funding-rate-arbitrage

Usage Examples

Fetching Funding Rates and Commissions

from funding_rate_arbitrage.frarb import FundingRateArbitrage

fr = FundingRateArbitrage()
# Fetch all perpetual funding rates on Binance
fr_binance = fr.fetch_all_funding_rate(exchange='binance')
# Get commission for futures trades (maker fee)
cm_binance = fr.get_commission(exchange='binance', trade='futures', taker=False)

Analyzing Funding Rate History

# Plot funding rate history for BTC/USDT on Binance
fr.fetch_funding_rate_history(exchange='binance', symbol='BTC/USDT:USDT')

Identifying Arbitrage Opportunities

Single Exchange Divergence

# Display top 5 funding rate divergences on Bybit
fr.display_large_divergence_single_exchange(exchange='bybit', display_num=5)

Multi-Exchange Divergence

# Compare funding rates across exchanges, sorted by revenue potential
fr.display_large_divergence_multi_exchange(display_num=5, sorted_by='revenue')

Revenue Calculation Methodology

Revenue is calculated as:

Revenue = (Funding Rate Divergence %) - (Total Commission %)

Example:

👉 Learn how to optimize commission costs for higher arbitrage profits.

FAQs

What is the optimal divergence threshold for profitable arbitrage?

Generally, a minimum divergence of 0.3% is recommended after accounting for commissions and slippage. Smaller divergences may not cover transaction costs.

Why doesn't this library support automated trading?

Automated trading requires additional infrastructure for order execution, risk management, and compliance checks. This library focuses on opportunity identification to support manual trading decisions.

How frequently should I check for new arbitrage opportunities?

Funding rates update every 8 hours on most exchanges. Checking every 4-6 hours ensures you capture new opportunities while avoiding excessive API calls.

Disclaimer

This project is for educational purposes only. Nothing herein constitutes financial, investment, or legal advice. The author disclaims all liability for any trading losses incurred. Always conduct independent research and consult with a qualified financial advisor before engaging in cryptocurrency trading.