We design systematic trading strategies, test them honestly against historical
market data, and automate the ones that survive. And we teach the same methods to traders
and institutional teams who would rather build than guess.
QuantQAlgo Technologies Pvt Ltd is a quantitative research and technology
firm. We work at the point where market intuition has to become something measurable:
a defined rule, a tested edge, a piece of code that behaves the same way on a bad day
as it does on a good one.
Most trading ideas fail quietly. They look convincing on a chart, survive a flattering
backtest, and then fall apart in live markets because nobody asked the hard questions —
about costs, about slippage, about whether the result was ever anything more than
noise. Our entire process is built around asking those questions early, while they are
still cheap to answer.
We build for individual systematic traders, proprietary desks and corporate teams,
across the intermediate-to-advanced range: from cleanly specified rule-based systems
through to machine-learning and AI-assisted models where the data genuinely supports
them.
Evidence before conviction
Out-of-sample testing, walk-forward analysis and cost modelling are part of the
build, not an afterthought. If an idea does not survive scrutiny, we say so.
Risk is the first design decision
Position sizing, exposure limits and drawdown controls are specified before entry
logic is ever optimised. A strategy you cannot hold through a bad month is not a
strategy.
Nothing is a black box to you
You receive the logic, the assumptions, the test methodology and the code. Where we
build it for you, you own it.
Education that transfers
Our workshops teach method — how to form a hypothesis, test it and reject it — rather
than selling signals. The goal is that you stop needing us.
From the founder
A backtest is an argument, not a promise.
Eleven years in the financial markets — as a quantitative analyst, an algorithmic
trading consultant and a teacher. I founded QuantQAlgo in October 2021.
Most trading ideas do not survive an honest test. That is the whole business: we test
properly, we cost every assumption, and we tell you when an idea does not work. We
publish no returns and we promise none.
The workshops exist for the same reason. I would rather teach fifty people to test their
own ideas than sell the same signal to fifty people.
If you are building something systematic, write to me.
Quant analyst, algo consultant and trading educator ·
11+ years in financial markets
Services
What we build, and what we teach.
Two halves of the same practice. Engagements are scoped
individually — most begin with a short paid discovery so that both sides know what is
actually feasible.
01 Quant & algo engineering
Strategy design & development
We turn a thesis — yours or one developed jointly — into a fully specified system:
entries, exits, filters, sizing and risk limits, documented so the logic is unambiguous
before a line of code is written.
Trend, mean-reversion, momentum, volatility and spread structures
Equities, futures, options and currencies
Intraday through positional horizons
Backtesting & validation
Historical testing built to find the flaws, not to flatter the idea. We model
brokerage, taxes, slippage and liquidity, and we separate the data used to build from
the data used to judge.
In-sample / out-of-sample separation and walk-forward analysis
Monte Carlo and parameter-sensitivity stress testing
Survivorship, look-ahead and overfitting checks
Machine learning & AI models
Where the problem warrants it, and only then. Feature engineering, model selection and
rigorous validation — with a clear-eyed view of how little signal most financial data
actually contains.
Feature design from price, volume and derived market structure
Classification and regression models with leakage-safe validation
Regime detection and ensemble methods
Execution automation
Deployment against your broker's API, with the operational plumbing that decides
whether a good strategy survives contact with live markets.
Order routing, retries and reconciliation
Kill switches, exposure caps and failure alerting
Logging and post-trade reporting for review
Automated order placement is routed through your SEBI-registered
broker and remains subject to the exchange and broker approvals that apply to you.
02 Training & workshops
Retail workshops
For individual traders who already understand the markets and want to work
systematically. Small cohorts, taught live, built around doing the work rather than
watching someone else do it.
Hypothesis formation and data handling
Building and stress-testing your own system
Reading a backtest critically — and knowing when to discard one
Corporate & institutional training
Structured programmes for broking firms, treasury desks, fintech engineering teams and
finance faculties. Delivered on site or remotely, and shaped around your stack and your
people's starting point.
Curriculum mapped to your team's existing tooling
Cohort sizes and schedules to suit desk operations
Hands-on projects using your own historical data
How we work
Four stages, in order, every time.
01
Discovery
We establish the objective, the markets, the capital and risk constraints, and the
operational reality you are trading within. Some ideas end here — which is the cheapest
possible outcome.
02
Research
Data is sourced, cleaned and examined. The hypothesis is specified precisely enough to
be proven wrong, then tested against history with costs and frictions included.
03
Validation
Out-of-sample testing, walk-forward runs and stress scenarios. You get the full
methodology and the uncomfortable numbers alongside the encouraging ones.
04
Deployment
Implementation against your broker's API, paper-traded first, then moved to live
capital at a size you choose — with monitoring, alerting and a documented handover.
Questions
Before you write to us.
Do you give buy or sell recommendations?
No. We do not provide trading tips, stock recommendations, portfolio advice or
any form of investment advisory service, and we do not manage anyone's money. Our work
is research, software engineering and education. If you need personalised investment
advice, please consult a SEBI-registered Investment Adviser or Research Analyst.
Will a strategy you build make me money?
We cannot promise that, and you should be wary of anyone who does. Historical
testing describes what a set of rules would have done in the past under a set of
assumptions. It is evidence, not a forecast. Trading in securities and derivatives
carries a real risk of loss, including loss exceeding your initial capital in leveraged
products.
Who owns the strategy and the code?
You do. For bespoke development engagements, the logic, the documentation and the
source code are delivered to you and the intellectual property is assigned to you on
completion. We do not resell a client's bespoke work to anyone else.
Do I need to know how to code?
Not for development engagements — that is what we are for. For workshops, comfort
with basic Python helps considerably, and our foundation modules cover what you need.
Corporate programmes are pitched to the level of the cohort.
Which markets and data do you work with?
Primarily Indian equities, index and stock derivatives and currency futures, with
selected global markets on request. We work with licensed historical data and with data
you already hold. For teaching material we use delayed and historical data only.
How does this fit SEBI's algo trading framework?
Automated strategies are deployed through your own broker relationship and
remain subject to SEBI's framework for retail participation in algorithmic trading,
including broker-level registration and exchange-issued algo identifiers where those
apply. We build with those requirements in mind, and we will tell you plainly where an
approval sits with your broker or the exchange rather than with us.
What does an engagement cost?
It depends entirely on scope, and we would rather quote honestly than publish a
number that means nothing. Development is typically fixed-fee per milestone; training is
priced per cohort or per programme. Tell us what you are trying to do and we will come
back with a written proposal.
Contact
Tell us what you are trying to build.
The more specific you are about markets, capital and timeframe, the
more useful our first reply will be. We answer every genuine enquiry, usually within one
working day.