Ai-Driven Proxy Solution for Alternative Data in Finance

Alternative data is fetched from non-traditional sources such as financial transactions, estate figures, geo-location data, rentals and leases, surveys, satellite data, and much more. Traditional data sources like financial statements, sales figures, etc., are not always capable of providing an accurate and complete picture of the investing scene. This is the reason why many progressive companies turn to alternative data sources to complement their analysis and decision-making.

The best way to collect alternative data is by web scraping with the help of automated tools and proxy servers. Some other options are raw data acquisition and alternative data providers.

Hedge fund managers and investors are using alternative data to evaluate market tendencies and identify investment opportunities. Other alternative data use cases include research of consumer behavior for analytics, as well as policy making for governments.

Alternative data refers to data from non-traditional sources and can encompass any source that is not typically used for analysis. When it comes to financial markets, some alternative data examples include social media sentiment, credit card transaction data, online reviews, or even weather data and satellite imagery. In comparison, traditional financial data analysis often uses sources like financial statements, SEC filings, and press releases.

Yes, alternative data is usually unstructured as it is mostly stored on various sources like blogs, news platforms, and etc. To make it structured, you need to first crawl the HTML document of your target and then parse your desired data points into a structured format, like JSON, CSV, or other.

Yes, you can try out Oxylabs products for free. Web Unblocker and all Scraper APIs are available via a free trial, while our proxy solutions require you to book a demo with our sales team.