Cryptocurrency Historical Prices

### Context

Things like Block chain, Bitcoin, Bitcoin cash, Ethereum, Ripple etc are constantly coming in the news articles I read. So I wanted to understand more about it and [this post][1] helped me get started. Once the basics are done, the data scientist inside me started raising questions like:

1. How many cryptocurrencies are there and what are their prices and valuations?
2. Why is there a sudden surge in the interest in recent days?

So what next?
Now that we have the price data, I wanted to dig a little more about the factors affecting the price of coins. I started of with Bitcoin and there are quite a few parameters which affect the price of Bitcoin. Thanks to [Blockchain Info][3], I was able to get quite a few parameters on once in two day basis.

This will help understand the other factors related to Bitcoin price and also help one make future predictions in a better way than just using the historical price.

### Content

The dataset has one csv file for each currency. Price history is available on a daily basis from April 28, 2013. This dataset has the historical price information of some of the top crypto currencies by market capitalization.

- Date : date of observation
- Open : Opening price on the given day
- High : Highest price on the given day
- Low : Lowest price on the given day
- Close : Closing price on the given day
- Volume : Volume of transactions on the given day
- Market Cap : Market capitalization in USD

### Acknowledgements

This data is taken from [coinmarketcap][5] and it is [free][6] to use the data.

Cover Image : Photo by Thomas Malama on Unsplash

### Inspiration

Some of the questions which could be inferred from this dataset are:

1. How did the historical prices / market capitalizations of various currencies change over time?
2. Predicting the future price of the currencies
3. Which currencies are more volatile and which ones are more stable?
4. How does the price fluctuations of currencies correlate with each other?
5. Seasonal trend in the price fluctuations

[1]: https://www.linkedin.com/pulse/blockchain-absolute-beginners-mohit-mamoria
[2]: https://coinmarketcap.com/
[3]: https://blockchain.info/
[4]: https://etherscan.io/charts
[5]: https://coinmarketcap.com/
[6]: https://coinmarketcap.com/faq/
[7]: https://blockchain.info/
[8]: https://etherscan.io/charts
[9]: http://cs229.stanford.edu/proj2014/Isaac%20Madan,%20Shaurya%20Saluja,%20Aojia%20Zhao,Automated%20Bitcoin%20Trading%20via%20Machine%20Learning%20Algorithms.pdf

### 背景
诸如区块链、比特币、比特币现金、以太坊、瑞波币等概念频繁出现在我所阅读的新闻报道中。因此，我渴望深入了解这些领域，而[此篇博文][1]为我提供了良好的开端。一旦掌握了基础知识，我内心那位数据科学家便开始提出各种疑问，例如：

1. 目前市场上存在多少种加密货币，它们的定价及估值如何？
2. 近期为何对加密货币的兴趣突然激增？

那么接下来该做什么呢？现在我们已经获得了价格数据，我希望进一步探究影响币价的因素。我首先以比特币为例，并发现有许多参数会影响比特币的价格。得益于[区块链信息平台][3]，我能够每隔两天收集到一些参数，这将有助于理解与比特币价格相关的其他因素，并有助于人们以比单纯依赖历史价格更好的方式做出未来预测。

### 数据内容
本数据集包含每个货币对应的单个 CSV 文件。从 2013 年 4 月 28 日起，提供每日价格历史数据。

- 日期：观测日期
- 开盘价：给定日的开盘价
- 最高价：给定日的最高价
- 最低价：给定日的最低价
- 收盘价：给定日的收盘价
- 交易量：给定日的交易量
- 市值：以美元计的市值

### 致谢
本数据来源于[coinmarketcap][5]，且免费[6]使用。

封面图片：由 Thomas Malama 在 Unsplash 上提供

### 启发
从本数据集中可以推断出以下问题：

1. 不同的货币在历史上的价格和市场资本化是如何随时间变化的？
2. 预测货币的未来价格
3. 哪些货币更具有波动性，哪些则更稳定？
4. 货币价格波动之间的相关性如何？
5. 价格波动的季节性趋势

[1]: https://www.linkedin.com/pulse/blockchain-absolute-beginners-mohit-mamoria
[2]: https://coinmarketcap.com/
[3]: https://blockchain.info/
[4]: https://etherscan.io/charts
[5]: https://coinmarketcap.com/
[6]: https://coinmarketcap.com/faq/
[7]: https://blockchain.info/
[8]: https://etherscan.io/charts
[9]: http://cs229.stanford.edu/proj2014/Isaac%20Madan,%20Shaurya%20Saluja,%20Aojia%20Zhao,Automated%20Bitcoin%20Trading%20via%20Machine%20Learning%20Algorithms.pdf