You can write the strategy.
Can you read the market?
Most developers never learn the second half. This session is about that half.
A live walkthrough for engineers who can already code. We go straight at the hard part: telling real edge from curve-fit, modelling execution and slippage honestly, and surviving NSE expiry and settlement mechanics. Shown by practitioners from a firm trading live capital today, not ex-traders.
You Can Build the System. Does It Have Real Edge?
Strong engineers can build and backtest a strategy quickly. The harder question is whether the edge is real, and whether it survives real execution, costs, and market microstructure. That is the gap a practitioner-built programme is designed to close.
Where strong engineers get stuck
- Clean code and a backtest that looks profitable
- No reliable way to tell real edge from curve-fit
- Costs, slippage, and microstructure modelled loosely
- Assumptions never stress-tested against a live market
What a practitioner's process adds
- A hypothesis written before the backtest, not after
- Edge tested out-of-sample and against real costs
- Execution and Indian market microstructure modelled honestly
- Adversarial review: why the edge exists, and what removes it
Built by a Firm That Still Trades Live Capital
QuantInsti was founded by the partners behind iRage, a high-frequency trading firm operating on Indian exchanges today. The people who design and teach EPAT are not ex-traders describing the past. They deploy capital against the same execution, microstructure, and regulatory mechanics the curriculum covers. That is domain knowledge you will not find in documentation or a clean backtest.
What This Session Covers
This is a live, open session with the QuantInsti team, built to answer the questions that matter most before you commit. We will navigate the conversation across three areas, and your questions will drive the depth.
The Curriculum, and How Deep It Actually Goes
We open with your questions on what the curriculum covers, how far it goes, and where the real depth sits for someone who can already code.
- Programme structure: the 6-month format, live vs. recorded hours, and how the weekend schedule works for working professionals.
- Where the depth is: market microstructure, execution, and strategy design, not Python syntax.
- Curriculum arc: from market foundations to backtesting, machine learning, and options.
The Platform, Tools & Learning Experience
A walkthrough of what your day-to-day learning actually looks like once you're enrolled, including a live look at the Blueshift backtesting platform.
- LMS walkthrough: navigating live sessions, recordings, and assignments
- The stack: Python quant ecosystem, event-driven backtesting, Blueshift, and broker APIs
- Live Blueshift backtesting platform demo
- How faculty and peer support work through the programme
Outcomes, the Live Desk, and Your Next Step
Direct answers on what the programme leads to, whether you are targeting a quant role or building your own desk, and how to prepare before your 1:1 conversation.
- How the outcomes apply to quant roles and to running your own strategies
- Placement process, timelines, and what to expect
- How to prepare for your 1:1 conversation with a programme counsellor
- Open floor: direct answers to the questions holding you back
Who Should Attend?
Most useful if you are evaluating algorithmic trading as a serious next step, especially from an engineering or finance background.
Tech Professionals
You write and ship code. The open question is whether your strategies exploit a real inefficiency or fit historical noise.
Career Pivoters
Weighing a move into algorithmic trading and want clarity before deciding.
Discretionary Traders
Curious about moving from intuition-driven trading to a systematic approach.
Finance Professionals
Looking to add quantitative and systematic methods to existing market expertise.
Shortlisted Applicants
Already evaluating EPAT and want direct answers before a 1:1 conversation.
Students & Early Professionals
Exploring quant and algo trading as a career path from the ground up.
Your Host
Rohan Matthews
This session is led by Rohan Matthews from QuantInsti's programme team, which supports EPAT learners from first enquiry through the programme. Rohan runs the open Q&A. For the questions that need a practitioner's answer, this session is also your route to a one-to-one technical conversation with the faculty who teach these modules and trade these markets.
Why Attend This Event?
Your opportunity to get clarity before your 1:1 conversation. If you are looking for:
A clear picture of how deep the curriculum actually goes
A live look at the LMS and the Blueshift backtesting platform
Honest answers on what EPAT adds if you can already code
Clarity on the placement process and what to expect
What to prepare before your 1:1 conversation
Direct, technical answers to the questions holding you back
Register Now
Tue, 24 Nov | 8:00 PM EST | 5:00 PM PST
What the 6 Months Looks Like
EPAT runs over six months on weekends, so working professionals can build alongside their current role. Here is the arc at a glance.
Market Foundations
Market microstructure, execution, and the statistics that separate signal from noise.
Strategy Building
Turning a market hypothesis into rules you can test before risking capital.
Backtesting & Data
Backtesting on real-market data with Blueshift, modelling costs and slippage honestly.
Project & Careers
A capstone project reviewed by practitioners, certification, and placement support.
Our Hiring Partners
EPAT connects learners with a network of 300+ hiring partners across trading firms, fintech, and quantitative research, the kinds of roles the programme is built to prepare you for.
Executive Programme in Algorithmic Trading
EPAT is QuantInsti's flagship programme, designed for those serious about building a career or long-term expertise in algorithmic trading.
- Develop and deploy automated trading strategies
- Apply machine learning, time-series models, and AI to trading problems
- Analyse real-market data across asset classes
- Design robust risk management frameworks
- Learn from practitioners who trade live capital
- Earn a globally recognised certification
Bring hard, technical questions and get direct answers on the curriculum, the platform, and your next step.
Register for Free