Questions tagged [historical price data]

HallyuHeroLegendaryStarShine Sun Dec 22 2024 | 5 answers 1374

I'm looking for a place to download historical price data. I need this information for analysis and would like to know the reliable sources where I can get it.

DigitalDynasty Sun Jul 14 2024 | 6 answers 1274

In the realm of cryptocurrency and finance, data analysis plays a crucial role in understanding market trends and making informed investment decisions. One tool that is widely used for such analysis is Jupyter Notebook, an open-source web application that allows users to create and share documents that contain live code, equations, visualizations, and explanatory text. Now, let's delve into the question: "How to get historical cryptocurrency price data in Jupyter Notebook?" The first step is to identify a reliable source of cryptocurrency price data. There are numerous APIs and data providers that offer such services, such as CoinMarketCap, Binance, or CryptoCompare. Each provider has its own unique set of endpoints and data formats, so it's important to choose one that meets your needs. Once you've chosen a data provider, you'll need to install the necessary libraries in your Jupyter Notebook environment. This often involves using package managers like pip or conda to install Python libraries that can interact with the API and handle the data. Next, you'll write code in your Jupyter Notebook to make requests to the API and retrieve the historical price data. This code will typically involve setting up authentication credentials (if required), defining the parameters of your data request (such as the cryptocurrency, the date range, and the level of granularity), and then making the request to the API. Once you've retrieved the data, you can use Python libraries like pandas to manipulate and analyze it. This includes cleaning the data, calculating statistics, creating visualizations, and performing any other analyses that you deem necessary. In summary, getting historical cryptocurrency price data in Jupyter Notebook involves choosing a data provider, installing the necessary libraries, writing code to make requests to the API, and then analyzing the retrieved data. By following these steps, you can leverage the power of Jupyter Notebook to gain insights into the cryptocurrency market and make informed investment decisions.