Algo Trading Course in Kanpur

What you will actually have at the end

Not a certificate, and not a folder of notes. Concretely, these six things:

• A strategy written as rules that somebody else could read and execute identically — entry condition, exit condition, stop, and size, with nothing left to interpretation.
• A backtest of it over several years of data, with brokerage, STT and slippage subtracted, showing what it would have returned and what its worst stretch looked like.
• A working program that connects to your broker, reads live prices, places orders, and manages the position without you touching it.
• A record of every decision it makes, written to a log file, so a quarter later you can say what happened rather than remember it.
• The whole thing running on a server with a static IP registered with your broker, starting itself each morning and restarting itself if it fails.
• The ability to change it. You will have built it, so when it stops working you can diagnose it rather than abandon it.

If any of that sounds like less than you expected, that is the point. This is a mechanism, not a promise about money.

The two Kanpurs that never meet

There is a peculiar thing about this city. It contains one of India's strongest technical institutes, producing graduates who go on to work in quantitative finance around the world — and, separately, a business community with generations of accumulated market instinct along Mall Road and in the old trading families.

The two rarely have a reason to talk to each other. The engineers leave for Bengaluru or abroad. The trading families operate on judgement and relationships that were never written down.

Systematic trading is exactly the discipline where those two halves combine, and neither half is sufficient on its own. Code without market understanding produces a beautifully engineered system trading a rule that never had an edge. Market instinct without a written record produces decisions nobody can audit, including the person making them.

The course is built for the second group more than the first, because the market half is the harder half to acquire and the programming half is smaller than it looks.

The syllabus, in the order it is taught

It runs to more than fifty modules and the sequence is deliberate. Python comes first, from nothing, because everything after it needs the language. Then the Zerodha Kite Connect API — authentication, reading prices, placing and modifying orders, reading your own positions back.

After that the part that decides whether an idea is worth anything: running the rules over years of history with real costs applied. Then automated entries and exits, a scanner pointed at criteria you choose, live market data inside a spreadsheet, and a virtual trading environment where a strategy runs against real market movement without a rupee committed.

The last stretch is production — a cloud server, automatic restart, logging, and the static IP your broker requires for API order flow.

All of it runs against a live broker account, which is the one thing to arrange before you begin.

What it will not do, stated plainly

Since this page began by promising a straight answer, here is the other half of it.

It will not make you money by itself. It gives you a method for testing whether an idea works and a mechanism for executing it consistently; whether the idea has an edge is your problem and the market's, not the course's.

It will not make trading safe. Automation removes hesitation, and hesitation is sometimes the only thing standing between a badly designed rule and a large loss.

And it will not be quick. Five to seven hours a week for roughly three months gets most people through the language and the market mechanics. Anybody offering the same outcome in four weeks is describing a video library, not a skill.

And it will not skip the paper trading. After the system is built there is another month or two of running it on live prices with simulated fills, comparing what it does against what the backtest said it would do. Skipping that step means paying the market to find bugs that a simulation would have shown you for nothing.

Fees, and the demo

Algorithmic Trading with Python costs Rs 24,900. That is a single payment covering all modules, lifetime access and every future update — no renewal, no monthly plan, no advisory sold afterwards. Enrolment is at study.thefinbaba.com, taught online in a Hindi-English mix.

The free WhatsApp demo comes first, and the useful thing to bring to it is an honest description of how you currently trade. If you are early enough that order types and position sizing are still hazy, the beginners course at Rs 2,500 is the correct answer and cheaper.

No tips are sold here, no signal group is operated, nobody's money is managed, and no return is promised. Trading carries a genuine risk of loss. The instructor is Atul Shrivastava — 16+ years trading, 8+ years mentoring Python algo trading, and a registered Zerodha Authorised Person (AP2516003481).

Disclosure: the account-opening link on this page is under Atul Shrivastava's Zerodha Authorised Person registration (NSE AP Reg: AP2516003481; Zerodha Broking Ltd. SEBI Reg: INZ000031633) and earns a revenue share. TheFinBaba is not a SEBI-registered Investment Adviser — this content is educational, not investment advice.