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How Angel Broking Uses AI To Scale Investment & Trading On Its Platform?

Angel Broking is one of the top brokers in India that know how to leverage latest technology to drive supreme value to their clients. Letu2019s get to know how it uses AI to promote investment and trading on its platform.

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How Angel Broking Uses AI To Scale Investment & Trading On Its Platform?

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  1. At Angel Broking, they heavily utilize AI and ML ingenuities for across-the-board processes including their rule-based investment engine ARQ for stock recommendations and KYC purposes. The method is allowing them to drive unparalleled scalability along with better cost efficiency. ARQ refers to an algorithm-based investment recommendation engine whose task is to recommend best quality stocks for investment through its propriety channel – Angel Broking Login app. The algorithms have been completed over the years based on influential insights by Angel Broking’s market pros, backed by decades of experience. The major benefits of ARQ include real-time determination of investment opportunities by evaluating a large number of stocks on a regular basis which is near to impossible for a human. ARQ has been active since 2016, wherein the Indian economy faced a string of essential changes. Despite being kicked off during these challenging times, ARQ has provided an annualized return of 12.7% till March 31, 2020, outstripping BSE 100 by a margin of10.7% per annum. This is an absolute power of technological paradigm. Being one of the top 10 stock brokers in India, Angel Broking has a strong belief that AI and ML are the major fillers in today’s times of algorithmic trading. This is because it brings higher efficiency by eradicating human emotions and prejudices from trading. Angel Broking’s approach is quite different from other broking firms. For example, look at Robo Order Solution, which allows clients to execute orders automatically based on prearranged Buy/Sell prices. So, they don’t have to keep a constant watch on the market. It has also revealed the street of day trading for those investors for whom it was not feasible earlier, particularly because of their routine tasks. When the predetermined conditions are matched best, the trade gets executed on its own.

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