ArthAlpha LLP • Equity
ArthAlpha Machine Learning (Equity) Quant is an equity portfolio management service (PMS) strategy run by ArthAlpha LLP, launched on 29 Oct 2024. As of 30 Sep 2026, it manages ₹61.3 Cr of client assets and is benchmarked against the BSE 500 TRI. Its reported trailing returns are +0.84% over 1 year (+2.36% since inception). Over 1 year, the BSE 500 TRI returned -2.33%, so the strategy is 3.17 percentage points ahead of its benchmark. The minimum investment is ₹50 Lakhs. The strategy is managed by Rohit Beri.
Returns and AUM as of , as reported to APMI. Last checked . Source: public PMS performance disclosures. Returns are as reported by the portfolio manager; past performance is not a guarantee of future returns.
| Period | Return |
|---|---|
| 1 Month | -7.54% |
| 3 Months | -4.68% |
| 1 Year | +0.84% |
| Since Inception | +2.36% |
A PMS needs at least ₹50 lakh. Before you commit, get a second opinion on fees, benchmark and fit from Foliyo, a fee-only SEBI Registered Investment Adviser.
Book an intro callArthAlpha Machine Learning (Equity) Quant has a 1-year return of +0.84% and +2.36% since inception as of 30 Sep 2026. Past performance is not indicative of future results.
Over 1 year, ArthAlpha Machine Learning (Equity) Quant returned +0.84% against -2.33% for the BSE 500 TRI, 3.17 percentage points ahead. Figures as of 30 Sep 2026.
ArthAlpha Machine Learning (Equity) Quant is managed by Rohit Beri at ArthAlpha. The strategy manages ₹61.3 Cr of client assets as of 30 Sep 2026.
ArthAlpha Machine Learning (Equity) Quant manages ₹61.3 Cr of client assets as of 30 Sep 2026.
The minimum investment for ArthAlpha Machine Learning (Equity) Quant is ₹50 Lakhs.
ArthAlpha Machine Learning (Equity) Quant was launched on 29 Oct 2024. It has a 1-year track record.
Description
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