Taught by people who build the systems
The best sign that a team really understands algorithmic trading is that established institutions ask them to teach it. Our co-founder does, and it’s the same practitioner knowledge that goes into the software we build.
Where our co-founder teaches
Ankur Parikh teaches algorithmic trading for established institutions. Since June 2026 he has worked with TimesPro on “AI-Powered Investing and Trading Analysis”, a course TimesPro runs for NTUC LearningHub in Singapore. He designed the course and teaches it, and the first cohort ran in September 2026. Before that he taught “Algorithmic Trading Essentials” for NSE Academy: sessions in India, and from September 2024 to May 2026 the same course for NTUC LearningHub in Singapore. Between them, these programmes have reached 400+ participants across Singapore and India.
His teaching is backed by a formal instructional qualification, not just experience. He’s certified under Singapore’s SkillsFuture (WSQ) framework as an adult-education trainer, through the Advanced Certificate in Learning and Performance.
We name these institutions to describe where our co-founder teaches, not to suggest they endorse Trade Vectors or the software we build.
The current course: AI-Powered Investing and Trading Analysis
Five days, about 40 hours, taught in person, with a written and a practical assessment at the end. It is written for investors first and traders second. Participants do not write code from scratch: they work in VS Code with an AI coding assistant, and watch working examples being built, run and explained. All trading in the course is simulated on paper accounts, with no real money and no live orders. The course gives participants no strategies to trade: it teaches them to write an idea down as rules, test it and question the results.
What it covers:
- How markets work: shares, exchanges, brokers and the order book, using the main US markets and indices.
- How algorithmic trading works, and how a retail setup differs from an institutional desk.
- Using AI assistants well: choosing a tool for the job, writing clear prompts, and checking the answers for errors.
- Looking at the data before any decision, including how volatility is measured and read.
- How APIs carry market data and orders, and how to work out why a connection or a data feed has failed.
- Backtesting and its traps: look-ahead bias, overfitting, survivorship, costs and slippage.
- Technical and fundamental analysis, and what each can and cannot tell you.
- Options and leveraged products taught as risk: margin, margin calls and forced liquidation.
- Risk management: position sizing, stop-losses and diversification.
- Responsible use: human oversight, keeping records, and spotting scams, unrealistic claims and unlicensed services.
- Turning a vague idea into rules that can be tested, and a final plan that takes it from research through testing to review.
Before that: Algorithmic Trading Essentials
A five-day, hands-on course for people who wanted to write the code themselves, taught for NSE Academy and ending in an assessment. It started from the basics of Python and worked up to talking to a broker:
- Python from the ground up: variables, loops, functions, collections, files and handling errors.
- The data tools traders use: pandas, NumPy, databases and exploratory data analysis.
- Broker APIs in practice: REST and socket connections, callbacks, and streaming live and historical data into a database.
- Technical and fundamental analysis written as code, and how backtesting works.
- Futures and options basics, market scanners and risk management.
Why this matters if you’re hiring us to build
Teaching a subject forces you to understand it from the ground up: the assumptions, the edge cases, the places people get it wrong. That’s the same understanding we bring to building systems: not a black box, but engineering we can explain to you clearly, in plain language, at any point in the project.
The classroom and the client work meet in the same places. The connection and data problems taught in class are the daily work of our broker API integration. The backtesting traps are what we test for when we build backtesting software. And turning an idea into rules a stranger could apply is the first part of our trading bot checklist.
We don’t sell a course here
To be clear: this page is about credibility, not a product. We don’t run or sell a course of our own. If you want to learn, the current course runs through TimesPro for NTUC LearningHub in Singapore. If you want a trading system built to your own strategy, that’s what we do; see our services, the people behind them on the founders page, or how we work with clients in Singapore.