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Zero to Hero · Lifetime Access · Hindi + English

Algo Trading Course for Students

Students are the group with the least capital and the most time, which is an unusual combination and a genuinely good one for learning this. Backtesting costs nothing. Paper trading costs nothing. The months of patient work that stop most working adults are the one resource a student actually has.

Before any of that, though, there is a line worth drawing, because "student" covers two very different people.

Starts at ₹24,900 ₹55,000 one-time · lifetime access
  • ✔ No coding background needed
  • ✔ Lifetime access + updates
  • ✔ Taught by Atul Shrivastava (16+ yrs)
  • ✔ Education only — no tips, no calls

If you are seventeen and preparing for an entrance exam, wait

We would rather say this and lose the enrolment.

If you are in school or in a coaching programme preparing for an engineering or medical entrance, this is not the year. Your attempt has a fixed date and markets do not. Reaching anything useful here takes three to six months of consistent work, and there is no honest version of the next six months where both get done properly.

There is a harder reason too. The demographic that loses the most money in Indian derivatives is young, new to markets, and drawn in by content promising quick results. Regulators have published enough data on retail derivative outcomes for this to be a matter of record rather than opinion. A seventeen-year-old with an app and money that came from a parent is precisely that profile, and calling it skill-building does not change the outcome.

If the interest is real it will survive the wait. Read Zerodha Varsity in the meantime — it is free, it is genuinely good, and it costs you nothing but reading time.

If you are in college, this is one of the better skills to pick up

Different situation entirely, and the case is strong.

You have time in a way you will not again. The three to six months this takes are available to you between semesters in a way they are not to somebody with a job and a family.

The capital problem is not a problem at this stage. Backtesting runs on historical data and costs nothing. The virtual trading system runs a strategy against live market movement with no money committed. You can spend a year building genuine competence without ever funding an account, and for a student that is the correct order — competence first, capital when you have your own.

And the Python is transferable. Not as a claim about jobs, which we do not make, but as a plain fact: pandas, API integration, error handling and writing a program that runs unattended on a server are ordinary professional skills. You would be learning them anyway; learning them against a problem you find interesting is easier than learning them against an assignment.

What the course actually includes

Fifty-plus modules in a sequence where each depends on the one before. Python from zero — no prior programming assumed. Then the Zerodha Kite Connect API: authentication, market data, placing and modifying orders, and reading positions back.

Then testing rules across years of history with brokerage, STT and slippage subtracted, which is where most ideas quietly fail and where the real education is. After that, automated entries and exits, a scanner on your own filters, live market data in a spreadsheet, and the virtual trading system.

The last section is deployment — a cloud server, automatic restart, logging, and the static IP a broker requires for API order flow. That section is worth doing even if you never fund an account, because deploying and monitoring a long-running program is a skill in itself.

The account itself is free to open and gives you historical data and live prices to learn against, long before any money goes into it.

Open it, do not fund it

You need an account for the data

Historical candles and live quotes come through it. Free to open·18+ with PAN and Aadhaar

Rules for a student who does eventually go live

When you get there, and only with money that is genuinely yours:

  • Not borrowed, and not a parent's. Money with somebody else's expectation attached distorts every decision, and the pressure to make it back is what turns a small loss into a serious one.
  • Not fee money, not rent. Anything with a date attached forces an exit at the worst possible moment.
  • Start with equity, not derivatives. Lot sizes in F&O mean a sane risk rule does not fit into a small account, so you end up abandoning the rule. Equity lets you buy one share.
  • An amount whose total loss changes nothing. If losing it would mean a difficult conversation at home, it is too much.

Nobody follows all four at twenty. Following three of them is still a considerably better start than most people get.

Fees, and what is not promised

Algorithmic Trading with Python is Rs 24,900 — one payment, permanent access, every future update, nothing sold afterwards. Enrolment is at study.thefinbaba.com and teaching is online in a Hindi-English mix.

If that is out of reach right now, the honest answer is that free material plus a virtual trading habit will take a disciplined student a long way, and the course will still be here later.

No placement or job assistance is attached to any of this. It is a trading course, not a career programme, and in a market where a great deal is sold to students on the promise of an outcome, that is worth stating plainly. We also sell no tips, run no signal group, manage nobody's money and promise no returns. Trading carries a real 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.

Algorithmic Trading with Python

₹24,900 ₹55,000 one-time · lifetime access · all future updates

50+ modules - Python basics se live automated deployment tak. Kite Connect API, backtesting, VPS, sab included. No coding background needed.

Frequently Asked Questions

Can students learn algo trading?

College students, yes - and the usual obstacle does not apply, because backtesting and virtual trading cost nothing. School students preparing for an entrance exam should wait; the attempt has a deadline and this does not.

What is the fee for the algo trading course for students?

Rs 24,900, one time, covering all 50+ modules, permanent access, future updates and WhatsApp support. A free demo comes first. If it is out of reach now, free material plus a virtual trading habit goes a long way.

Do I need money to start learning?

No. Historical data for backtesting and the virtual trading system both run without any capital. You can build real competence for a year without funding an account, which is the correct order for a student.

Will this help me get a job?

We make no claim about that and offer no placement support. The Python, pandas, API integration and deployment work are ordinary professional skills, but that is a side effect rather than something we promise.

How much time does it take alongside college?

Five to seven hours a week gets most people through the language and market modules in about three months, with deployment taking roughly a weekend after that. Semester breaks are the natural window.

Should a student trade F&O?

Not at the start. Derivative lot sizes mean a sensible risk rule does not fit inside a small account, so the rule gets abandoned instead of the instrument. Equity lets you buy a single share and size properly.

Ready to start?

Take a free demo first — see the course structure and ask anything before you decide.

Disclaimer: TheFinBaba provides educational content only. Nothing on this page is investment advice or a recommendation to buy or sell any security. Trading in financial markets carries risk of loss — make every decision based on your own research and risk capacity.