Algo Trading Course in Bhubaneswar

If you are a government servant, check your conduct rules first

This section argues against selling you a course, and it belongs at the top of the page anyway.

Government service conduct rules restrict speculation in securities. The Central Civil Services (Conduct) Rules contain a direct prohibition on a government servant speculating in any stock, share or other investment, and state governments and public-sector undertakings maintain their own rules drafted along the same lines. Occasional investment made through a registered broker is generally treated differently from speculation; frequent buying and selling is what the rule is aimed at. There is also a separate requirement to report transactions in securities to the prescribed authority once they cross a threshold in a year.

Where that leaves automated trading is uncomfortable and worth saying plainly: a system placing frequent intraday orders is close to the definition the rule was written to catch. A long-horizon, low-frequency approach sits somewhere else entirely. Nobody on the internet can tell you which side of the line your specific plan falls on.

So before you spend anything: read your own service rules, check what your department's prescribed authority requires, and if there is any doubt, ask in writing. This applies to central and state employees and to most public-sector staff around the city. The rules also change, so a colleague's understanding from six years ago is not a reliable source.

For Infocity, the constraint is time rather than rules

The other half of this city's audience works in software around Saheed Nagar and Infocity, and faces the ordinary problem: the market is open exactly during working hours.

These are also people who mostly already program, which changes what is worth teaching them. The Python section is an afternoon. What is not guessable is the market layer — how an order actually reaches the exchange, what happens on a partial fill, how margin is blocked and released, what expiry does to an options position — along with the cost structure and the discipline of testing on data you did not use while designing.

Then there are the operational parts that only show up in production: access tokens that expire daily, broker rate limits, websocket connections that drop and have to reconnect, and restarts that must read the real position from the broker rather than assume a clean slate.

What is taught

More than fifty modules, arranged so each one is needed by the next. The Python foundation, then the Kite Connect API for data and order placement, then the testing discipline — running rules over history with real costs applied and scoring on data you did not design against. After that, automated entries and exits, a scanner configured to your own criteria, live market data in Excel, and a virtual trading environment for running a strategy without capital at risk. The last section is production: a cloud server, automatic restart, logging, and a static IP registered under the SEBI algo framework.

Bhubaneswar's education-heavy culture tends to produce students who want to understand the mechanism rather than be handed a result, which suits this material. The course is built the same way — it does not hand over a strategy to run, it teaches you to build, test and judge your own.

Whatever you build needs a broker account with API access behind it, which supplies both the historical data you test on and the orders you eventually place.

Time commitment, honestly stated

Five to seven hours a week gets most people through the Python and market-mechanics modules in about three months. Deployment is roughly a weekend after there is something worth deploying.

At the end of three months you do not have a machine that prints money. You have one strategy, tested over several years of data with costs subtracted, running at a size you would be comfortable losing. That is the correct milestone, and treating it as a finish line rather than a starting point is how people get hurt.

Modules are recorded and access does not expire, so a busy month costs momentum rather than money. The students who finish are the ones who keep a fixed weekly slot instead of waiting for a free weekend. Two shorter sessions in a week beat one long one, because the material builds and a fortnight's gap means re-reading rather than progressing.

Fees, the demo, and what we do not offer

Algorithmic Trading with Python is Rs 24,900 — one payment, lifetime access, all future updates included, enrolled at study.thefinbaba.com and taught online in a Hindi-English mix.

Take the free demo on WhatsApp first, and if you are in government service say so — the honest conversation about whether this suits your position is better had before you pay than after. If you have never traded, the recommendation will be the Rs 2,500 beginners course instead.

We sell no tips and no signal group, we manage nobody's money, and we 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.