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Financial data includes "pre-trade" such as bid-ask data necessary to price a financial instrument and post-trade data such as the last trade price and other transaction data. From ticker tape to television cameras, from databases to websites this multibillion-dollar industry provides data utilized in the financial sector.
Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...
BAI, or the BAI file format, is a file format for performing electronic cash management balance reporting. The BAI format was developed and previously maintained by the Bank Administration Institute (BAI). [1]
Largest intraday point losses that turned positive. These are the largest intraday point losses that closed in positive territory at the end of the trading session. In order to be considered an intraday point loss, the intraday low must be below the previous day closing price, while the opening price is used to calculate intraday lows.
Largest intraday percentage drops. An intraday percentage drop is defined as the difference between the previous trading session's closing price and the intraday low of the following trading session. The closing percentage change denotes the ultimate percentage change recorded after the corresponding trading session's close.
Orange, a data mining, machine learning, and bioinformatics software; Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl; Ploticus – software for generating a variety of graphs from raw data
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Prometheus collects data in the form of time series. The time series are built through a pull model: the Prometheus server queries a list of data sources (sometimes called exporters) at a specific polling frequency. Each of the data sources serves the current values of the metrics for that data source at the endpoint queried by Prometheus.
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