Data Sample
Description
Metadata
Categories
- Commerce
Geography
WorldwideSuitable For
- Small Business
- Medium-sized Business
- Enterprise
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This data set provides valuable information for predicting economic trends and anticipating potential future developments by rigorously examining the performance of the Euro against other currencies over the last decade. It gains a solid perspective by evaluating possible scenarios and possible future developments of the Euro. This decade-long value analysis serves as an informative and valuable resource for anyone in the financial industry, guiding them in understanding the Euro's past performance and predicting future scenarios.
This dataset offers a comprehensive opportunity to thoroughly examine the daily performance of prominent digital cryptocurrencies such as Binance Coin (BNB), Cardano (ADA), Solana (SOL), XRP (XRP), Polkadot (DOT), Chainlink (LINK), Litecoin (LTC), Uniswap (UNI), Polygon (MATIC), VeChain (VET), and Dogecoin (DOGE). These digital cryptocurrencies are known as representatives with distinct features and use cases in the cryptocurrency market. The dataset spans a five-year period and includes daily opening and closing prices, intraday highs and lows, as well as daily trading volume data. These comprehensive data points provide a significant opportunity to understand, analyze, and compare the price trends of each digital cryptocurrency. This dataset is of immense value to investors, analysts, and researchers. It establishes a strong foundation for comprehending the dynamics of the digital cryptocurrency market and closely monitoring the performance of these foundational digital cryptocurrencies. The data plays a significant role in developing effective investment strategies, managing risks, and identifying potential opportunities.
Public data points may include: # of followers, account type, links, bio, posts, images, comments, shares, hashtags, and much more. Track public conversations across Facebook and monitor likes, shares, comments, mentions, to spot popularity shifts amongst users. Use the Facebook dataset to get an understanding of how your customers feel about a certain service or product. Evaluate what type of posts and content work for your competitors by analyzing a Facebook dataset. Identify areas of opportunity, based on your competitors’ Facebook presence, look at their posts, images, user engagement, and more.