A robust Python framework for cross-exchange stablecoin arbitrage, implementing advanced graph search algorithms (two-level, Dijkstra, A*) over live market data (Kraken/Coinbase) to detect and evaluate profitable arbitrage cycles. Developed as part of a CMPT 827 group research project at SFU.

1 Open Issue Need Help Last updated: Jan 22, 2026

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AI Summary: This GitHub issue requests a focused literature review to identify relevant research papers on cryptocurrency arbitrage strategies. The primary goal is to find papers that utilize variations of the A* algorithm and those specifically addressing 1-2 hop arbitrage, to facilitate a comparison with the project's current A*-based depth-first approach and other strategies like breadth-first search.

Complexity: 3/5
good first issue

A robust Python framework for cross-exchange stablecoin arbitrage, implementing advanced graph search algorithms (two-level, Dijkstra, A*) over live market data (Kraken/Coinbase) to detect and evaluate profitable arbitrage cycles. Developed as part of a CMPT 827 group research project at SFU.

Python