This dataset contains stock market data for prominent energy companies operating within the Refinery and Distribution, namely MPC, PSX and VLO. It encompasses 5 years of trading data, including daily opening and closing prices, the highest and lowest prices recorded during the day, and the trading volume for each respective day. This dataset, which provides the stock performance analysis of major companies in the Refinery and Distribution sector such as MPC, PSX, and VLO, holds significant value for investors, analysts, and researchers. Due to its inclusion of daily stock price changes, this dataset is a crucial tool for those evaluating both short-term and long-term investment strategies for these companies. Analysts interested in assessing the performance of leading companies in the Refinery and Distribution sector, including MPC, PSX, and VLO, can actively utilize this comprehensive dataset. Encompassing data on the differences between opening and closing prices, highest and lowest values, trading volume, and other technical analysis tools, this dataset provides essential information for understanding sector trends and making company comparisons. Investors and financial experts seeking to examine and evaluate the stock performance of MPC, PSX, and VLO in the Refinery and Distribution sector will greatly benefit from this valuable dataset. Through this data, investors can make more informed decisions, reduce risks, and discover potential opportunities. This comprehensive dataset serves as a reliable and detailed guide for future investment strategies, offering essential insights into the stock performance of these significant companies.

The Euro Short-Term Rate (€STR) offers a glimpse into a crucial aspect of the Eurozone's financial ecosystem. Specifically, it provides insight into the wholesale euro unsecured overnight borrowing costs incurred by banks operating within the Euro area. On a daily basis, the €STR is derived from a pool of transactions that involve overnight maturity. These transactions represent the borrowing and lending activities between banks in the Eurozone that take place during the previous trading day. What sets these transactions apart is their "overnight" nature, meaning they have a short-term maturity, typically spanning just one day. Importantly, they are "unsecured," meaning that they do not involve the exchange of collateral, making them a true reflection of the Eurozone's financial landscape. In ECB Data Portal (EDP), the €STR data is meticulously organized and indexed by time. For instance, if you encounter data points with a time index of 1 October 2019, these data points precisely capture the trading activities that occurred on that specific day. Furthermore, they correspond to the official €STR rate published on 2 October 2019, providing a transparent and chronological record of the rate's evolution. This temporal indexing is more than just a technical detail; it serves as a critical component for researchers, economists, and financial professionals who rely on the €STR to analyze trends and make informed decisions. By associating each data point with its respective trade date, users can conduct comprehensive historical analyses and track how the €STR has responded to various economic and monetary factors over time. In essence, the Euro Short-Term Rate (€STR) acts as a window into the Eurozone's financial health, revealing the dynamics of short-term borrowing costs among its banks. Its daily fluctuations and historical records provide invaluable insights into the region's monetary policies and broader economic trends.

İstanbul İli içerisinde yer alan bütün Akaryakıt İstasyonlarının konumsal verilerdir. Verilerde marka adına göre sınıflandırma vardır. EPDK lisans numaraları ile eşlidir.

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.