Crypto Arbitrage Strategies: Spatial, Triangular and Statistical

1. Spatial (cross-exchange) arbitrage

The classic. Bitcoin is $70,000 on Binance and $70,150 on Kraken. You buy on Binance, sell on Kraken, pocket the spread. In practice you need pre-funded balances on both exchanges to avoid the risk of moving coins between venues (blockchain confirmations take minutes; price can move meaningfully in that time).

Key risks:

• Withdrawal fees and delays.
• Deposit suspensions during volatility.
• KYC / withdrawal limits.
• Slippage on thin orderbooks.

2. Triangular arbitrage

Executed inside a single exchange. Example on Binance:

1. USDT → BTC
2. BTC → ETH
3. ETH → USDT

If the three cross-rates are slightly out of sync, you end with more USDT than you started with. Because it's a single venue, there's no on-chain transfer risk — but competition is fierce, opportunities are milliseconds long, and fees usually eat most of the theoretical edge.

3. Statistical arbitrage

Uses historical correlations to identify when two related assets (say ETH and a large-cap L2 token) diverge more than usual, and bets on convergence. Requires solid data, reliable execution and risk management — one broken correlation can wipe out months of gains.

What you actually need to run this

• API access to multiple exchanges.
• Low-latency infrastructure (cloud servers near the exchange matching engines).
• A monitoring dashboard for spreads.
• Robust risk controls (max position size, kill switches).

The NexPrices Arbitrage page shows live cross-exchange spreads for the top crypto pairs so you can spot potential opportunities without building your own scanner from scratch.

Educational content only — arbitrage carries execution, fee and counterparty risks. Not financial advice.