Global Pedigree
Stanford alum with an MS in Financial Mathematics, top-ranked engineer, and recipient of Ratan Tata & JN Tata scholarships. Holds 4 global finance charters.
Quantitative research and strategy
Systematic strategies built on disciplined research
We combine quantitative, technical, fundamental and behavioural analysis into multi-style algorithmic strategies.
Market data by TradingView (opens in a new tab). May be delayed. For information only — not investment advice.
- 35+ years
Leadership experience across markets, asset management and taxation
- FPI Category I
Strategy partner to the MVF Indus QRAC Strategy, regulated by FSC Mauritius
- CFA, FRM, CAIA, CMT
Charters held across the leadership team
- 4 lenses
Quantitative, technical, fundamental and behavioural research
What we do
QRAC designs and researches systematic, multi-style strategies across Indian and global markets.
Quantitative strategy design
Multi-style, rules-based strategies built from Fusion Analysis and tested across market regimes.
- Factor, relative-value and momentum/contrarian models
- Algorithmic rules with defined risk and exit conditions
- Out-of-sample testing before any rule is used
Derivatives research
F&O and options open-interest analysis, volatility and structured option positions.
Learn moreAlgorithmic trading research
Automated, regime-aware strategies in Indian equity derivatives, with written rules for when a strategy is paused.
Learn moreMarket analytics
Analytics models that organise research into themes and baskets across equities, commodities and currencies.
Learn moreStrategy research
Six strategy families, from equity factors to advanced option structures.
See strategiesWhy QRAC
We explain how we reach a view, and we tell you what could make it wrong. That is the standard we hold ourselves to.
Meet the leadershipEvidence before opinion
Views start from tested research, not market commentary. If the evidence is weak, we say so.
Four lenses, one view
Fusion Analysis looks for agreement across quantitative, technical, fundamental and behavioural signals.
Risk defined first
Position size, exit conditions and correlation are set before any position is taken.
Systematic and auditable
Strategies run on written rules, so every decision can be traced and reviewed.
Leadership
The people accountable for QRAC’s research and strategies.
Professor Harjeet A Singh
Co-Founder, QuantRobo Analytics Consulting
- CFA
- FRM
- CAIA
- PRM
- CMT
Stanford University Alumnus
Global Finance Experience
Worked with Morgan Stanley, Nomura, UBS & Merrill Lynch across Wall Street, London and Amsterdam in roles spanning IB, Treasury and Hedge Funds.
Strategic Advisor & Trainer
Consulted the Ministry of Finance, SEBI, NSE & MCX. Trained 100+ institutions in Investment Management, Risk and Algo Trading.
Entrepreneur & Innovator
Founder of EduEdge Pro and Stelios Asset Management. Launched a SEBI-registered algorithmic Category III AIF.
Dr. Amarjeet Singh
Managing Director, QuantRobo Analytics Consulting
- CAIA (USA)
- MCSI (UK)
- CMT (USA)
Formerly with the Ministry of Finance
EdTech Leadership
Founder & MD of EduEdge Pro, offering BFSI and Analytics upskilling to bridge the gap between academia and industry.
Academic Contributions
Serves on the Board of Studies at Christ and ITM; teaches at SP Jain, XLRI and JBIMS.
Ministry of Finance Experience
25+ years with Customs & Excise; expert in tax law and policy. Recipient of the Samman Patra for meritorious government service.
Media Presence
Regular guest on CNBC, NDTV Profit and Zee Business, known for long-term market trend insights in Indian and global equities.
Fusion Analysis: four lenses on every decision
Each lens answers a different question. Positions follow only when they are weighed together.
What does the data say, and how reliably?
Statistical and factor models measure exposure, correlation and regime. Machine-learning methods help test whether a pattern holds out of sample.
- Factor exposure: momentum, value, quality, low volatility
- Correlation and regime detection across asset classes
- Out-of-sample testing before any rule is used
What is the trend, and where is it fragile?
Trend, momentum and market structure describe how price behaves. We use them to time and size, never as the only reason to act.
- Trend and momentum across multiple timeframes
- Support, resistance and volatility contraction
- Invalidation levels agreed before entry
Is the underlying business or asset sound?
Earnings quality, balance sheets, valuation and macro conditions tell us whether a view has a foundation beyond price.
- Earnings quality and balance-sheet strength
- Relative valuation within sector and history
- Rates, currency and commodity context
How are other participants positioned?
Positioning and sentiment reveal crowded trades. Options open interest shows where participants have committed capital.
- Options open-interest build-up by strike
- Put-call positioning and implied volatility skew
- Sentiment extremes and crowding checks
Strategy families we research
Multi-strategy and low-correlation by design, across equities, commodities, currencies and fixed income.
Derivatives research
F&O and options open-interest analysis that informs our strategies.
- F&O
- OI analysis
Futures strategies
Trend-following and relative positions using futures.
- Managed futures
- Equity long/short
Equity strategies
Factor-driven and relative-value approaches to equities.
- Factor models
- Relative value
- Momentum / contrarian
Options strategies
Vanilla positions and volatility analysis with defined risk.
- Vanilla
- Analytics
- Volatility
Advanced options
Multi-leg structures shaped to a specific market view.
- Spreads
- Butterflies
- Ratio spreads
- Straddles
Algorithmic and quantitative
Rules-based strategies designed to adapt across market regimes.
- Systematic
- ML-assisted
- Regime-aware
The Indus QRAC Strategy
QRAC’s systematic, multi-style algorithmic approach is applied in the MVF Indus QRAC Strategy, an offshore fund for eligible non-resident investors.
- Sub-fund of Minerva Ventures Fund, Mauritius
- FPI Category I, regulated by FSC Mauritius
- Investment Manager: KCAP Asset Management
Fund information is for eligible non-resident professional/expert investors only and is not an offer or solicitation in any jurisdiction where it would be unlawful.
Fund informationCollaborations with
About our collaborations- Moody's Analytics
- MCX
- Motilal Oswal
- CISI London
Questions people ask us
If your question is not here, ask us directly. We answer in writing.
Contact usWhat does QRAC do?
QRAC is a quantitative research and strategy firm. We design systematic, multi-style algorithmic strategies using Fusion Analysis, and we are the strategy partner to the MVF Indus QRAC Strategy.
What is the MVF Indus QRAC Strategy?
A sub-fund of Minerva Ventures Fund, a Mauritius Collective Investment Scheme (Expert Fund) and FPI Category I fund regulated by the FSC Mauritius. Its Investment Manager is KCAP Asset Management, Mauritius.
Who can invest in the fund?
Only eligible non-resident professional/expert investors, by way of the Private Placement Memorandum. It is not available to persons resident in India except as permitted under applicable FPI regulations. Eligible investors can view fund information.
Does QRAC promise returns?
No. Investments in securities markets are subject to market risks, and past performance is not indicative of future results. We describe our process and its risks, not outcomes.
How is risk managed in QRAC’s strategies?
Position size, exit conditions and correlation limits are set before any position is taken, and every strategy has written rules for when it is paused.
How do I get in touch?
Use the email or phone details on our Contact page. Please do not send passwords, bank details or identity documents by email.
Talk to the QRAC team
Questions about our research, strategies or collaborations? Get in touch and we will reply in writing.