Algo Trading Course for Working Professionals
The market opens at 9:15 am and closes at 3:30 pm - exactly the hours you are in office. That one line summarises every working professional's trading problem. Sneaking a glance at your phone mid-meeting to take an entry, adjusting a stop-loss during lunch, and worrying about an open position through a 3 pm presentation - that is not trading, that is stress. The answer is not quitting your job. The answer is building a system that works during market hours without you - automatically, by its rules.
- ✔ No coding background needed
- ✔ Lifetime access + updates
- ✔ Taught by Atul Shrivastava (16+ yrs)
- ✔ Education only — no tips, no calls
The structural problem with trading alongside a job
Three things always work against a working professional who trades. First - time: you simply cannot watch the live market, so entries are late and exits are emotional. Second - attention: half a mind on office, half on the market, and both suffer. Third - consistency: you trade when you happen to have time and skip when you do not - and inconsistent execution kills any strategy, no matter how good it is.
Automation solves all three at once: the system takes its own entries and exits (time problem gone), you only review in the evening (attention problem gone), and code never skips a valid trade (consistency problem gone). This is not theory - it is exactly the model institutional trading desks have run on for decades.
How this fits into your daily life
After completing the course, a typical working professional's routine looks like this: strategy work at night or on weekends - reviewing backtest results, adjusting parameters. In the morning, the system starts on its VPS by itself and trades by its rules through market hours. In the evening, you spend 15-20 minutes reviewing the day's log: what traded, why, and how much risk was taken.
The learning phase is designed the same way - all 50+ modules are recorded. Forty-five to sixty minutes a day, or weekends only - whatever fits your schedule. Most working professionals complete the course and deploy their first system within three to four months. No live-class pressure, no fear of missing a batch.
What you will learn - from zero to a deployed system
The course assumes you know neither coding nor deep market mechanics: it starts with Python basics (Excel-level comfort is enough), then finance libraries (Pandas, Xlwings), then the Zerodha Kite Connect API - from login automation to order placement. After that come the core skills: backtesting (your strategy's historical proof), auto buy/sell systems (entry, stop-loss and target fully automated), a custom scanner, and virtual trading (practice without real money).
The final section matters most for you: 24x7 cloud VPS deployment - Vultr server setup, static IP configuration and broker registration as per the SEBI Algo Trading Framework. That is the piece that frees your system from your laptop - laptop off, system running.
Fees, honest expectations and the first step
The course fee is Rs 24,900 - lifetime access with all future updates included. Enrolment is at study.thefinbaba.com.
Honest expectations matter just as much: algo trading is not a scheme to replace your salary. Early on you will be learning, backtesting and trading small - and that process takes months. We promise no income and sell no tips. We teach one skill: building, testing and running your own system. That skill stays with you for life.
The first step: book a free demo on WhatsApp. Describe your schedule, ask your questions, and judge for yourself whether this approach fits alongside your job.
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
I work 9 to 6 - how much time does the course need?
Forty-five to sixty minutes a day, or weekends only - the modules are recorded, so you set the pace. Most working professionals finish the course and deploy their first system in three to four months. There are no fixed batch timings.
Do I need to be free during market hours to run the system?
No - that is the core point of this course. Your system is deployed on a cloud VPS and runs by its rules during market hours. You review for 15-20 minutes in the evening. Setting up monitoring alerts is also taught.
What is the fee for the algo trading course for working professionals?
TheFinBaba's Algorithmic Trading with Python course costs Rs 24,900 with lifetime access - 50+ modules, WhatsApp support and future updates included. A free demo comes first.
Will I be able to replace my salary with trading income?
Nobody can promise that, and you should avoid anyone who does. The realistic approach: learn the skill first, start systematic trading with small capital, and improve the process over time. Risk never leaves trading - the course teaches you to manage it, not to eliminate it.
How do I know if my company allows personal trading?
Check your company's personal trading or securities policy with HR - some companies, especially in finance, require pre-clearance. That is your responsibility; the course provides education for your personal account only.
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.