Accuracap Alpha10

Scheme Rating

IME Scheme Rating

3 of 5 stars

Good option for investors seeking large-cap exposures. : For investors seeking to leverage the latest computing technologies (Big Data, AI, Behavioural Analysis) for a quant-driven approach. While we like the quant approach the Accuracap brings to the table, we prefer their Picopower strategy given the ability to find pricing inefficiencies in the small cap space compared to larger companies.

IME Strategy Rating

3 of 5 stars

Quant Strategy: Quant-strategy that seeks to construct a portfolio of 12-35 high-quality companies (large-cap focused) based on Artificial Intelligence, Intelligent Ranking Algorithms. An algorithm based on fundamental factors & risk management, the portfolio is rebalanced once a year, and stocks are exited if they fall below the cut-off ranking on Intelligent Ranking Algorithm. Focused on large caps & fundamentally strong companies which helps liquidity risk and transaction cost. Accuracap Alpha10 has demonstrated sustained performance since its inception, showcasing a track record of reliability and consistent capital appreciation throughout various market cycles.

PMS Scheme Ratings are driven by IME’s Proprietary Scheme Rating Methodology, which takes into account our ratings of the Scheme’s investment strategy, its maturity, the investment team, and our separate rating on the AMC that runs this particular scheme. Our views on each of these individual criteria are available via the IME RMS – which you can view by reaching out to one of our relationship managers (using either the live chat or book appointment feature on this site).

IME View on Accuracap Alpha10

Type: Large Cap | Quant | AUM (218.6 cr) | Inc Date (19 September 2011)

Investment Philosophy

Accuracap PMS’s Alpha 10 strategy is a quant-strategy that seeks to construct a portfolio of 12-35 high-quality companies (large-cap focused) based on their Artificial Intelligence based Intelligent Ranking Algorithm. The algorithm is based on fundamental factors & risk management, with the portfolio being rebalanced once a year and stocks exited if they fall below the cut-off ranking on the Intelligent Ranking Algorithm. The average historical holding period of stocks is ~2 years.

Comparative LT Performance Chart

Portfolio Construction

  • Low Churn and Tax Efficient: average holding period is 2 years. All gains are long-term capital gains. The strategy aims to be fully invested and does not attempt to time the Market
  • Portfolio Rebalancing:  rebalanced on a pre-defined schedule and usually once a year
  • Exits: exits the portfolio if the rank is below the cut-off on the rebalance date where the exiting Stock is replaced by the new high-ranked stock while keeping the number of stocks in the portfolio constant.

Trailing Performance

1yr 3yr 5yr Since Inception
Accuracap Alpha10 21 12.8 13.7 14.6
S&P BSE 500 TRI 34.7 18 18 13.8
Alpha over Broad Mkt BM -13.7 -5.2 -4.3 0.8
Nifty 50 TRI 23 14.4 15
Alpha over Category BM -2 -1.6 -1.3

Performance as of: 31-May-24 | Inception Date: 19-Sep-11

Fund Managers

Naresh Chand Gupta | 4-star rated FM

Co-founder & CEO | 35 yrs Experience | 9 yrs at current firm

Past Experience: Adobe India (MD & CEO), LNK Corp (Director-Artificial Intelligence)

Naresh is a computer scientist, researcher and corporate executive with impressive technology credentials. As CEO of Adobe India, Naresh oversaw 3500+ engineers and was responsible for over 40% of Adobe’s global R&D, including the grant of hundreds of patents. Naresh is the author of several seminal scientific papers in the area of Artificial Intelligence, Pattern Recognition, and Computer Vision and holds seven Individual U.S. Patents. He left Adobe to start Accuracap PMS in 2015, in order to use his technical expertise in algo-based quant investing.

Raman Nagpal | 4-star rated FM

Co-founder & CIO | 30 yrs Experience | 9 yrs at current firm

Past Experience: Morpria Alliance (Board of Directors), Adobe (Executive Director), AVP Technology (Founder)

Raman is a computer scientist, with a deep background in technology & finance. He has been responsible for developing several new technologies in the areas of adaptive learning engines, spurious drug detection systems and application of data analytics in stock markets. Prior to founding AccuraCap in 2015 along with Naresh Gupta, Raman worked along with him at Adobe as an Executive Director.

Fee Structure

Fee StructureFee
Fixed Fee Structure2.5
Variable Fee Structures1.5% fixed + 20% above 10% hurdle
Exit Fees1yr(2%), 2yr(1%)


AMC: Accuracap PMS (click link for detailed AMC review)

Highly recommended for aggressive investors looking for high performing quant strategies: AccuraCap PMS is a highly differentiated, quant-based PMS offering with the ideal combination of a 'geek' driven core founding & investment team that have a long demonstrable track record.

AMC Rating

4 of 5 stars

AMC Pedigree

5 of 5 stars

AMC Size

3 of 5 stars

Team Pedigree

5 of 5 stars

Inv Philosophy

5 of 5 stars


4 of 5 stars

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