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Financial market data is a very critical element of a trading system. Be it historical or live data, you need data for various purposes like analyzing stock behavior, backtesting strategies, for paper trading, and for executing live orders in the market.

One can procure data from paid data vendors or use the free data provided by various financial portals and exchanges. In this post, we will explore a way to scrape web data using Python; specifically, we will see… (Read More)

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