Algo Trading Course for Business Owners
The question business owners usually ask is whether they can make money trading. It is the wrong question, and asking the right one changes the answer considerably.
The right question is whether an hour spent on trading is worth more than an hour spent on your business. For most owners, most of the time, it is not — and any honest page aimed at you has to start there.
- ✔ No coding background needed
- ✔ Lifetime access + updates
- ✔ Taught by Atul Shrivastava (16+ yrs)
- ✔ Education only — no tips, no calls
Your hour is already earning, and that sets the bar
Run the arithmetic on your own business. Take last year's profit and divide it by the hours you actually put in. Whatever comes out is what an hour of your attention is currently worth, and it is the number any alternative use of that hour has to beat.
For a working business the figure is usually high enough to settle the argument. An owner who could add fifteen percent to turnover by fixing collections, or by opening one more account, or by being present on the floor for the hour they were watching a chart, is giving up something certain for something that is not.
This is why so many business owners who take up discretionary trading quietly go backwards on both sides. The trading does not work, because it is being done in gaps. And the business loses the attention it was getting, which is the part nobody measures.
Two situations genuinely change the answer. If the business is mature and no longer absorbs your full attention productively, the hour is worth less than it used to be. And if you want capital that does not depend on your sector — which is a different objective entirely — then this is about diversification rather than about earning more per hour.
Which is exactly why automation, and not trading
If the objection above holds, then the only version of market participation worth considering for an owner is one that does not compete for your attention at all.
That is the actual argument for a rule-based system, and it is narrower than the usual pitch. It is not that automation makes you a better trader. It is that a written rule executing on a server consumes none of the hour that your business needs, and a screen does.
The work is front-loaded and finite: roughly three months of evenings to build and test, a weekend to deploy, then a review that takes twenty minutes a week. After that the system's demands on you do not grow with the number of trades it places, which is the opposite of how discretionary trading behaves.
The honest caveat is that the three months are real, and the review is not optional. A system nobody looks at is not a system, it is an open position.
Business capital and trading capital, kept apart
The mistake that turns a survivable loss into a serious one, and it is specific to this audience.
Keep the two in different accounts with no informal movement between them. Not because a drawdown is likely, but because the moment a supplier payment depends on a position closing well, that position stops being managed by your rules and starts being managed by the deadline. Every bad decision in that situation follows from the same source.
The related discipline is sizing. Size against a total capital figure decided once and reviewed annually, not against whatever is in the account this month. Businesses with seasonal or cyclical collections otherwise take their largest positions right after money arrives, which is precisely when it is most spoken for.
And a point worth stating for owners who know their sector well: the sector you understand best is often the worst place for your surplus, because your business income already depends on it. Familiarity is not diversification. A rule-based system helps here because it selects on written criteria rather than on what feels knowable.
What the course covers
Fifty-plus modules, ordered so nothing arrives before what it depends on. Python from zero, then the Zerodha Kite Connect API for authentication, prices, orders and reading positions back from the broker.
Then testing across years of history with brokerage, STT and slippage subtracted — the section that decides whether an idea deserves any capital. After that, automated entries and exits, a scanner on your own criteria, live market data pushed into a spreadsheet, and a virtual trading system for practising with nothing at stake.
The last stretch is deployment: a cloud server that starts each morning, restarts on failure, logs every decision, and carries the static IP your broker requires for API order flow.
The Excel section tends to land well with owners who have run a business on spreadsheets for twenty years, and it is a gentler on-ramp than a blank code editor.
A separate trading and Demat account
Keeping it distinct from business banking is the whole point. Free to open
Fees, and when the answer is no
Algorithmic Trading with Python is Rs 24,900 — one payment, permanent access, every future update, nothing sold afterwards. Enrolment at study.thefinbaba.com, taught online in a Hindi-English mix so it fits around business hours rather than competing with them.
Take the free WhatsApp demo and describe your situation honestly, including how much of your week the business currently takes. If the business is in a growth phase and absorbing everything you have, the honest recommendation is to come back later — and that is a recommendation we have made before.
No tips are sold here, no signal group is run, nobody's money is managed and no return is promised. Trading carries a real risk of loss, and an automated system executes a poor rule faster than a person would. 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
50+ modules - Python basics se live automated deployment tak. Kite Connect API, backtesting, VPS, sab included. No coding background needed.
Frequently Asked Questions
Should a business owner learn trading?
Work out what an hour of your attention currently earns in the business, because that is the bar. For a growing business it is usually high enough that the honest answer is no. Automation changes the calculation because a deployed system consumes none of that hour.
What is the fee for the algo trading course for business owners?
Rs 24,900, one time, covering all 50+ modules, permanent access, future updates and WhatsApp support. A free demo comes first.
How much time does it take to run once it is built?
About twenty minutes a week to review the log, and that does not grow with the number of trades placed - which is the opposite of discretionary trading. Building and testing is roughly three months of evenings, plus a weekend to deploy.
Should I invest in the sector my business is in?
Usually not. Your income already depends on that cycle, so holding the sector as well doubles a bet you have already placed, and both fall in the same quarter. Familiarity is not diversification.
How should I separate business and trading capital?
Different accounts, no informal transfers either way, and size against a total capital figure set once a year rather than against the account balance after a collection cycle.
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.