Question: Can you suggest a tool that provides access to a large library of alternative data for quantitative analysis?

For a broad library of alternative data for quantitative analysis, Finnhub is a top contender. The service offers real-time financial data and alternative data, including earnings call transcripts, news and social media sentiment, ESG data and thematic investing insights. With institutional-grade data delivered through RESTful APIs and WebSockets, it's geared for developers, financial analysts and traders who need a lot of financial data and can afford to pay for it.

Another strong contender is QuantConnect, an algorithmic trading platform for quants and engineers. It has a broad library of alternative data from more than 40 vendors, with millions of possible trading strategies. QuantConnect is built on the open-source LEAN engine, and it can be used for backtesting and live trading in the cloud. It's a good tool for researchers and traders.

AlphaSense is also worth a look, with a library of more than 300 million documents for quick lookup. Using AI and NLP technology, it lets you monitor and track information in real-time, making it useful for market intelligence and data-driven decision making. It's geared for financial services companies and corporate strategy teams.

Last, Data Commons offers a public repository of data gathered from around the world on a variety of subjects. With 240 billion data points and 260,000 variables, it's a useful resource for exploring and downloading data for analysis. It's good for researchers in science, policy and other fields.