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BTC-Arbitrage

This project focuses on financial analysis to sort through historical trade data for Bitcoin (BTC). To identify potential profitable arbitrage opportunities on two exchanges: Bitstamp and Coinbase.

Datasets

The datasets used in this analysis are:

  • Bitstamp: A dataset of bitcoin trading data from the Bitstamp exchange, covering the time period from January 1, 2018 to March 31, 2018.
  • Coinbase: A dataset of bitcoin trading data from the Coinbase exchange, covering the same time period as the Bitstamp dataset.

Analysis Steps

The analysis was conducted in several steps:

  1. Data Collection: Collecting CSV data into a jupyter notebook file.
  2. Data Preparation: Preparing the datasets for analysis by cleaning missing data.
  3. Arbitrage calculations: identifying opportunities for arbitrage profits by comparing closing prices between the two exchanges.

Conclusion

The analysis found opportunities for profit from price differences between two exchanges, especially during volatile times and early in the dataset. These opportunities could be beneficial for traders.

About

Financial analysis to sort through historical trade data for Bitcoin on two exchanges: Bitstamp and Coinbase.

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