Crypto Arbitrage Feasibility Analysis

Project Overview

Conducted an in-depth feasibility study of cryptocurrency arbitrage trading across multiple exchanges. The project involved collecting and analyzing price data from 5 major exchanges for 5 different cryptocurrencies over several weeks, resulting in approximately 1 million data points. The analysis combined statistical methods with algorithmic trading strategies to identify and evaluate arbitrage opportunities.

Methodology

Developed a systematic approach that included: 1) Automated data collection from multiple exchanges using REST APIs, 2) Statistical analysis of price differences and their persistence, 3) Simulation of arbitrage strategies using historical data, 4) Implementation of a real-time arbitrage detection system, and 5) Integration with exchange APIs for automated trading execution.

Results

The analysis revealed significant price discrepancies across exchanges, with arbitrage opportunities occurring frequently enough to be profitable. The simulation showed potential returns of 0.5-2% per trade, though actual profits were constrained by transaction fees, market impact, and execution speed. The project successfully identified optimal trading parameters and risk management strategies.

Visualizations

Conclusion

While cryptocurrency arbitrage presents viable opportunities, success depends heavily on execution speed, transaction costs, and risk management. The project demonstrated that systematic analysis and automated trading systems can identify and capitalize on market inefficiencies, though profitability requires careful consideration of technical and operational constraints.