
Cross-Market Price Discrepancy Capture
Arbitrage strategies exploit price discrepancies between markets, exchanges, or related instruments. These market-neutral strategies aim to capture risk-free profits through simultaneous buy and sell operations.
How arbitrage algorithms connect across libraries
How arbitrage algorithms work together in a trading system
Multi-market monitoring
Profitability analysis
Atomic buy-sell
Position reconciliation
Execution risk control
Compare arbitrage algorithms across key dimensions
| Metric | cross_exchange_market_makingHummingbot | amm_arbHummingbot |
|---|---|---|
| Complexity | ⭐⭐⭐⭐advanced | ⭐⭐⭐⭐advanced |
| Prediction Type | Mixed | Mixed |
| Training Speed | ⚡⚡ | ⚡⚡ |
| Accuracy | 📊📊 | 📊📊 |
| Best For | General purpose | General purpose |
Cross-exchange arbitrage market making using price differences between two exchanges.
| min_profitability | 0.003 | Minimum profit threshold (0.3%) |