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OpenHistoricalMap data is available for reuse in other projects. In addition to the REST API, a weekly database dump allows bulk downloads in Protocol Buffers–encoded OSM XML format. There is also an instance of the Overpass API for structured querying of the data across time periods. These tools are configured and deployed as part of the ...
The majority of financial data vendors can access data during trading sessions but with the requirement that any inquiry be in reference to historical market analysis. [10] Analysis of historical market data provides a larger snapshot of the market at the expense of timely information (time inbetween database updates).
Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics; R – free implementation of the S (programming language) Programming with Big Data in R (pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis; R Commander – GUI interface for R
In finance, market data is price and other related data for a financial instrument reported by a trading venue such as a stock exchange. Market data allows traders and investors to know the latest price and see historical trends for instruments such as equities, fixed-income products, derivatives, and currencies. [1]
The economic data published on FRED are widely reported in the media and play a key role in financial markets. In a 2012 Business Insider article titled "The Most Amazing Economics Website in the World", Joe Weisenthal quoted Paul Krugman as saying: "I think just about everyone doing short-order research — trying to make sense of economic issues in more or less real time — has become a ...
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
Data collected details both trades and quotes, including price changes and direction, time stamps, and volume. Such information can be found at the TAQ (Trade and Quote) database operated by the NYSE. [4] Where trade data details the exchange of a transaction itself, quote data details the optimal trading conditions for a given exchange.
FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate, serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [4] It was first released in 2018.