Angel Broking ARQ Advisory Service

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What is Angel Broking ARQ?

ARQ is angel broking online advisory service. ARQ is a hyper-intelligent investment engine. The ARQ uses "Modern Portfolio Theory" that gives you the best asset allocation advice across major asset classes. its asset classes include equity, gold & debt funds, mutual funds. Advice is given after understanding your portfolio risk and expected return.

ARQ has the capability to analyze the current trends and provide future predictive analysis.

Currently, Angel ARQ is providing advisory for equity stocks and Mutual Fund Investment. The ARQ can access via Angel Eye or Angel Trading App. Once you get access of ARQ, you will start getting a recommendation or investment advice via SMS service. Follow the recommendation and start investing, no need for fund managers. To avail ARQ service you need to be an Angel customer. Open you open trading and demat account with Angel, you can avail free advisory service.

ARQ service is completely free for Angel Customers. it's not PMS (Portfolio Management Service) service. Once you receive the recommendation, it's up to you if you wish to take the call, invest in suggested script.

ARQ Advisory based on a model whose performance has been optimized to provide recommendations with high outperformance and strike rates. The model has been tested using scientific back-testing and has also been validated based on its track record. The model has been calibrated to take advantage of the upticks in the stocks or mutual funds during an investment period.

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Difference between ARQ Advisory and Traditional Advisory

Angel ARQ Traditional Advisory
No emotional bias Risk of emotional bias
Advise based on future predictive analysis Advise based on past performance
Completely Machine based or algorithm based, tested with cutting edge technology Fund Manager view, chances of human error and view
Offer Personalize advise on zero cost Not Free
Auto notification to rebalance the portfolio No, follow up advice

More details about Angel ARQ can be find on

Last updated on 5th Jun 2019



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