NFO Alert: AlphaGrep Mutual Fund launches multi asset allocation fund, its first fund

AlphaGrep Mutual Fund has launched its inaugural fund, the AlphaGrep Multi Asset Allocation Fund, marking its entry into the Indian retail market. This open-ended fund employs a systematic, quantitative approach to dynamically allocate capital acr...

ET Online
The scheme seeks to generate long-term capital appreciation through a diversified portfolio across multiple asset classes.
AlphaGrep Mutual Fund announced the launch of its first fund the AlphaGrep Multi Asset Allocation Fund . This marks AlphaGrep's entry into the Indian retail investment market and represents a significant milestone in bringing institutional-grade, quantitative investment strategies to Indian investors.

The new fund offer or NFO of the fund will open for subscription on July 6 and will close on July 20. The fund will reopen for continuous sale and repurchase on August 3.

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This fund will offer Indian investors access to a systematically managed, open-ended fund that dynamically allocates capital across equities, fixed income, and commodities, driven by proprietary quantitative models.

The scheme seeks to generate long-term capital appreciation through a diversified portfolio across multiple asset classes. Unlike traditional multi-asset strategies that rely on static allocations or discretionary decision-making, the AlphaGrep Multi Asset Allocation Fund follows an algorithmic and systematically managed investment approach.

Powered by proprietary quantitative models, the fund dynamically allocates across equities, fixed income and commodities based on evolving market conditions, with minimal human bias and a strong emphasis on disciplined execution and risk management.
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The fund's two-layer architecture seeks returns at both the asset allocation level and the individual security selection level — a distinction that sets AGMAAF apart from traditional multi-asset funds.

"Algorithmic investing has been at the core of AlphaGrep's DNA for over a decade. Through the AlphaGrep Multi Asset Allocation Fund, we are democratizing institutional-grade algorithmic investing for retail investors,” said Bhautik Ambani, Chief Executive Officer, AlphaGrep Mutual Fund.

“The fund leverages proprietary quantitative models and systematic processes to make investment decisions across asset classes, enabling portfolios to dynamically adapt to changing market environments while maintaining discipline, consistency and robust risk management. We believe this approach may help investors navigate market complexities and build long-term wealth in a more efficient manner,” CEO further said.

On the security selection front, the fund leverages a multi-factor framework incorporating traditional factors such as value, momentum, quality and size, alongside proprietary alpha signals derived from earnings revisions, sentiment analysis, market microstructure, fund flows, seasonality patterns and machine learning models.
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The fund will be managed by Ravneet Singh and performance will be benchmarked against 35% NIFTY 200 TRI + 45% NIFTY Composite Debt Index + 20% MCX iCOMDEX Composite Index.
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The fund will allocate 35-80% in equity and equity related instruments, 10-80% in debt and money market instruments, 10-60% in Gold/Silver/other permitted Commodities ETFs and Exchange Traded Commodity Derivatives and 0-10% in units issued by INVITs.

The fund is suitable for investors who are seeking long term capital appreciation by investing in a diversified portfolio and want investments in equity and equity related instruments, debt and money market instruments, Commodities ETFs and Exchange Traded Commodity Derivatives.

The fund draws upon the broader strengths of the AlphaGrep Group, which currently manages approximately USD 1 billion across its asset management businesses and proprietary investment strategies globally. (As on 1st June 2026), according to a press release by the fund house.

(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)

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