rohan-paul/cryptocurrency-kaggle

This repository is a snapshot of the cryptocurrency market during a three-month window in 2017. It contains data collected every five minutes from CoinMarketCap, capturing the top cryptocurrencies by market value from August 4 to November 4, 2017. If you want to study what the crypto market looked like during that period, this gives you the raw material. The project consists of thousands of CSV files, 26,320 of them, each representing a single five-minute snapshot. Every file records details like a coin's symbol, its market cap ranking, price, circulating supply, trading volume, and percentage changes over the past hour, day, and week. The filenames are timestamps, so you can pinpoint exactly when each snapshot was taken. This would be useful for anyone doing exploratory data analysis on historical crypto prices, building charts, or testing trading strategies against real historical data. For example, a data science student could use it to practice visualizing price trends, or a researcher could study how different coins moved relative to each other during that period. The README links to a Kaggle notebook and a Medium blog post showing how the creator approached this analysis using moving averages with Bitcoin pricing. The data covers an interesting moment in crypto history, late 2017, right before Bitcoin's massive spike to nearly $20,000 in December of that year. One thing to note: the README mentions a local file path as the source location, which suggests this was originally a personal dataset uploaded for sharing. The analysis examples focus on Bitcoin, but the dataset covers the top cryptocurrencies overall, not just Bitcoin alone.