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These 5 Wealthtech Startups are using Quantitative Investing to Help People Invest

Wright Research is an AI powered robo-advisor, creating multifactor investment portfolios using quantitative investing strategies. Wright uses deeptech, AI and machine learning models to predict the market and devise smart beta investment strategies that are backed by deep quantitative research.

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Wright Research is an AI powered robo-advisor, creating multifactor investment portfolios using quantitative investing strategies. Wright uses deeptech, AI and machine learning models to predict the market and devise smart beta investment strategies that are backed by deep quantitative research. Read more!

According to a recent report by MarketMojo, a staggering 75% of Indian Demat accounts are inactive, highlighting the need for a solution that can assist new investors in both identifying investment opportunities and automating their trading activities while ensuring portfolio balance. This has led to a growing interest in quantitative investing, a strategy that relies on detailed statistical analysis, complex algorithms, and models to guide investment decisions. Examples of quantitative investing include high-frequency trading, algorithmic trading, and statistical arbitrage.

Recognizing the demand for such strategies, several wealth management startups in India have emerged, utilizing quantitative investing methodologies to offer AI-driven portfolios with promising returns. Startups such as Wright Research aim to revolutionize the investment landscape by combining advanced technologies, data-driven strategies, and human expertise to deliver transparent, efficient, and optimized investment solutions for both domestic and foreign investors.

Wright Research uses advanced machine learning models for market regime modelling to forecast market risk in the next month and quarter. It changes the allocations to factors and asset classes based on this.

Read the full story here .

To learn more about Quantitative Trading check out these articles

  1. What is Quantitative Trading?
  2. Best Quantitative Investment Strategies 2023

Disclaimer: Investment in securities market are subject to market risks. Read all the related documents carefully before investing. Registration granted by SEBI, membership of a SEBI recognized supervisory body (if any) and certification from NISM in no way guarantee performance of the intermediary or provide any assurance of returns to investors.

The content in these posts/articles is for informational and educational purposes only and should not be construed as professional financial advice and nor to be construed as an offer to buy/sell or the solicitation of an offer to buy/sell any security or financial products. Users must make their own investment decisions based on their specific investment objective and financial position and using such independent advisors as they believe necessary.

Wryght Research & Capital Pvt (Brand name: Wright Research) is a SEBI Registered Portfolio Manager Reg No: INP000007979 (Validity: Apr 03, 2023 – Perpetual) and a SEBI Registered Research Analyst No: INH000017295 (Validity: Jul 03, 2024 – Perpetual), with its registered office at 103, Shagun Vatika Prag Narayan Road, Lucknow, UP, 226001 India and CIN: U67100UP2019PTC123244. Past performance may or may not be sustained in future. Performance provided there in is not verified by SEBI. Investment in securities is subject to market and other risks, and there is no assurance or guarantee that the objectives of any of the strategies of the Portfolio Management Services will be achieved. Registration granted by SEBI, enlistment as RA with Exchange and certification from National Institute of Securities Markets (NISM) in no way guarantee performance of the intermediary or provide any assurance of returns to investors. Please read the Disclosure document carefully before investing. Securities quoted are for illustration only and are not recommendatory. Charts shown are for illustration only. For more information and disclosures, visit our disclosures page here.

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