Alta Cura AIF Recommendation & Review

PMS Rating

IME PMS Rating

Highly recommended for investors looking for quant strategies that are risk adjusted via hedging: Alta Cura offers a highly differentiated absolute return focussed quant strategy. The strong pedigree of the investment team and the demonstrated performance using quant algorithms at Accuracap gives the AMC credibility despite being a relatively young AMC.

The PMS/AIF AMC Rating is derived on the basis of our analysis on 5 key qualitative parameters that we use to analyse the quality of a PMS/AIF Provider. These include an assessment of the size of the AMC, the pedigree of the AMC, the pedigree of the team, the value of the investment philosophy & the level of differentiation. These insights of our central research team are documented in the IME RMS, and can be accessed during a consultation call with an IME PMS specialist.

PMS Background

Discretionary AUM (1045cr) | Promoter Category ()

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Investment Philosophy

Strategy Aim

4 Investment Buckets

C1
Liquid/Liquid-like investments

Invest in very low-risk debt investments (bank FDs, debt MFs, government securities). This generates a low-risk fixed income return AND can be used as margins for market-neutral strategies in C2,C3,C4 buckets that help boost returns.

C2
Market-neutral arbitrage-like strategies

Invest in market-neutral arbitrage-like option trading strategies (calendar spread, time decay, vol dispersions), to take advantage of pricing discrepancies of different options with the same underlying .

C3
Long-short portfolio

Buy stocks that are expected to move up and sell stocks that are expected to move down (based on AI algorithm). The strategy may be executed via futures or options, based on the market outlook. The aim is to have low net exposures to the overall market.

C4
AI & ML based bi-directional strategies

AI model assigns an outlook to the market (positive, stable or negative). On the basis of this a hedged F&O trading strategy is executed, that delivers alpha in that market environment.

Investment Bucket Allocation C1 is typically fully invested (as this generates a stable return and provides margins for the other buckets). The allocation to other buckets are driven based on the AI-algo driven market outlook. Typically not more than 40% of the portfolio will be allocated to a single bucket in C2, C3 & C4.

Artificial Intelligence & Machine Learning based Algorithm

AI Backed GQVM Model (stock selection)

AI Algorithm, built on deep data science, ranks all companies in BSE-100 based on GQVM indicators (Growth, Quality, Valuation, Momentum). These rankings help construct both the long & short portfolios.

AI Backed MVLM Model (market outlook)

AI Algorithm, that takes into account Momentum, Valuations & Market Liquidity (MVML) indicators to develop an outlook for the markets (positive, stable, negative).

Strong Artificial Intelligence & Machine Learning based algorithms The algorithms that signal the most profitable absolute return strategies, are developed based on a large number of indicators and use deep data science & machine learning technologies to continously improve the predictive power of these algorithms.

Credible Team behind the algorithms Raman Nagpal has a Masters in Computer Science and has worked in data science at Adobe, prior to setting up Accuracap along with Naresh Gupta. The AI-based algorithms have demonstrated consistent outperformance at the long-only strategies at Accuracap over more than a decade, and these proven algorithms have been tweaked to deliver absolute returns.

Still early days of the fund maturity While the foundation of Alta Cura's algorithms, come from proven AI algorithms at Accuracap, the adaption of these algos to a more trading heavy absolute return strategy are still in early days. The longer-term track record of these algorithms across different market conditions are still to be established.

Inv Team

Investment Team

Sanjiv Syal | 3-star rated FM

Fund Manager | 38 yrs Experience | 3 yrs at current firm

Past Experience: ABL Financial Services (Founder)

A derivatives trader and serial Entrepreneur, Sanjiv has a diverse experience spanning 35 years. Besides managing his proprietary trading book, his other core competencies include Strategic planning, Fund Raising, Relationship building, Operational excellence, and Project management. He has vast operational and fund-raising experience in vario us sectors including in Financial services, Information Technology and Real Estate. He holds a Bachelor of Commerce Honours from Shri Ram College of Commerce and is a qualified Chartered Accountant (1985).

Raman Nagpal (Alta Cura) | 4-star rated FM

Founder & CIO | 31 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.

PMS/AIF Schemes

PMS & Listed Equity AIF Schemes

Scheme	Category	Style	1 yr	3 yr	5 yr	Since Inc
Alta Cura AI Absolute Return Fund AIF	Absolute LS	Absolute Return LS	13.3			15.2

Returns as of 30-Sep-24.

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Note: PMS AMC & Scheme Reviews and Ratings are based on IME Capital’s Proprietary Review and Rating Methodology (read more here: AMC Rating & Scheme Ratings). These reflect the unbiased views of our central research team, based on our assessment of the investment value of these PMS/AIF strategies for our investors. We follow a highly stringent rating-criteria, where approximately 50% of PMS AMC’s & strategies would be rated 2-star or below (this is not meant to indicate that these funds are not investment-worthy, but that they do not currently fulfill the requirements we focus on for recommending funds to our investors — based on our internal views on the merit of the AMC/strategy relative to peers). Reviews & Ratings are primarily based on research of publicly available information (SEBI disclosures, PMS websites, PMS-aggregation platforms, webinar recording, media interviews etc.) and no explicit consent is required from AMCs for the same. While we endeavour to do further due-diligence via direct interactions with the investment teams of AMCs, this is typically restricted to AMC’s that meet our foundational fund selection criteria (reviews on lower-rated AMCs are often based solely on publicly available information). The views reflected in our Reviews & Ratings, are our independent views and may not be shared by the AMC’s and the investment teams. Please read detailed disclaimer for more.