Before anything else, our bias, stated at the top rather than buried at the bottom. Atul Shrivastava is a registered Zerodha Authorised Person, our courses teach against Zerodha's API, and the account-opening link further down earns a revenue share. Read everything below knowing that.
What follows is still worth reading, because the useful part of this question is not which name wins. It is which criteria matter for your specific strategy — and on several of them, the answer is not Zerodha.
The criteria that actually decide this
Most comparisons rank brokers by brokerage per trade, which is close to irrelevant once you are automating. These are the things that will affect you daily:
- Documentation quality. You will read it constantly. Bad documentation costs more hours than any fee difference saves.
- Official Python client, actively maintained. A library last updated two years ago is a liability.
- Rate limits. Requests per second, and what happens when you exceed them. This decides how many instruments you can watch.
- WebSocket reliability. How often it drops, and whether reconnection is handled for you.
- Historical data. How far back, what intervals, and whether it costs extra. You cannot backtest without it.
- Login flow. Some require a browser redirect each morning; others accept a TOTP your program generates itself. This decides whether your bot can start unattended.
- Monthly API cost and whether historical data is billed separately.
- Community size. When something breaks at 9:20, the chance somebody has already posted your exact error matters more than you would like.
How the main options compare
Specific prices and limits change often enough that any figure printed here will be wrong within a year, so this is about character rather than numbers. Check current pricing on each broker's own developer page before deciding.
| Broker | Strength | Watch out for |
|---|---|---|
| Zerodha Kite Connect | Best documentation, mature and maintained Python client, by far the largest community, historical data available | Monthly API charge, historical data billed on top, browser-based login each session |
| Angel One SmartAPI | No separate API subscription charge, TOTP login so a bot can start itself unattended | Documentation is thinner, symbol handling via a large instrument master file |
| Dhan | Built with API users in mind, good developer experience, active in improving it | Smaller community, so fewer answers already written when you hit a problem |
| Fyers | Solid API, decent documentation, reasonable historical data access | Community smaller than Zerodha's |
| Upstox | No separate API fee, straightforward REST interface | Documentation and client library have been less consistent over time |
Notice that Zerodha is the one you pay extra to use. That is a genuine disadvantage and worth weighing honestly against what the documentation and community save you.
The login question, which matters more than the fee
This is the criterion that surprises people, and it can decide the whole question for you.
Kite Connect's session flow expects a browser login each day, producing a request token that you exchange for an access token. That token is valid for one session, not forever. For an automated system this means your morning startup either involves a human, or a workaround you have to maintain.
Angel One's SmartAPI instead expects your program to generate the current TOTP itself and pass it in, which means a bot can genuinely start itself with nobody present. For somebody deploying to a server and going to work, that is a material advantage.
The trade-off is that your TOTP secret then lives on that machine, which is a real security consideration rather than a theoretical one. Neither approach is simply better; they fail in different directions.
Rate limits and how many instruments you can watch
Every broker caps how frequently you may request data. Exceed it and you are throttled, usually at the worst possible moment.
The practical answer is not to choose a broker with a higher cap. It is to stop polling. A WebSocket connection pushes updates to you as they happen, with no per-request limit on the incoming stream, which means a watchlist of a hundred instruments is a subscription rather than a hundred requests a second.
Where limits still bite is on order placement and on historical data pulls. If your strategy fires many orders in a short window, check the per-second order cap specifically, because that number differs meaningfully between brokers and it is the one that will stop you.
What actually matters for a beginner
If you are learning rather than running something already, the ranking changes completely.
Community size becomes the dominant factor. Almost everybody who abandons self-teaching does so at a specific error message rather than at a concept, and the difference between an error somebody has already answered publicly and one nobody has is the difference between ten minutes and three days.
Documentation is second. Everything else — the monthly fee, the rate limits, the login flow — is a rounding error next to the cost of being stuck.
On those two criteria Zerodha leads, which is the honest reason our course teaches against it, and also the reason that recommendation is worth less to somebody who already codes and can handle sparse documentation.
You can change your mind later, cheaply
Worth knowing before this feels like a permanent decision: most of a trading system is broker-agnostic.
The data handling, the indicator calculations, the signal logic, the risk rules, the position tracking and the logging do not care which broker you use. What is broker-specific is authentication, the exact market-data format, and order placement — three modules, not a rewrite.
If you keep those behind a thin wrapper of your own from the start, switching brokers later is a weekend of work rather than a reason to stay somewhere unsuitable. Build that wrapper on day one even though it feels unnecessary.
The corollary: do not spend three weeks agonising over this choice. Pick one, build something, and learn what you actually need from a broker by needing it.
So which one
Honest summary, given everything above.
Learning to code a system: Zerodha, for the documentation and the community, accepting that you pay monthly for the privilege.
Cost-sensitive, and comfortable with thinner documentation: Angel One or Upstox, both without a separate API subscription.
Deploying unattended on a server: Angel One's TOTP login removes the daily browser step, which is worth a lot in production.
Already comfortable with APIs and want a good developer experience: Dhan or Fyers are both credible and underrated.
Our own course is built on Kite Connect, so the code samples are Zerodha-based. The concepts transfer to any of the above; what you would be adapting is the authentication and order-placement layer.
Zerodha, with the bias declared
Account free to open; Kite Connect is billed separately by Zerodha. Aadhaar OTP
If you would rather learn the whole sequence than assemble it, our Algorithmic Trading with Python course is Rs 24,900 — one payment, permanent access, free demo on WhatsApp first.
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.
Disclosure, repeated: 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.
Frequently Asked Questions
Which is the best broker for algo trading in India?
For somebody learning, Zerodha's Kite Connect, because the documentation and community are the largest and being stuck costs more than the monthly fee. For cost-sensitive users, Angel One and Upstox charge no separate API subscription. For unattended deployment, Angel One's TOTP login lets a bot start itself.
Which broker has no API charges?
Angel One SmartAPI and Upstox have generally not charged a separate API subscription, while Zerodha bills Kite Connect monthly with historical data on top. Verify current pricing on each broker's developer page, since these do change.
Do I need a separate account for algo trading?
No. It is your normal trading and Demat account with API access enabled on top. What differs between brokers is whether that access costs extra and how the daily login works.
How hard is it to switch brokers later?
Easier than people assume. Data handling, indicators, signal logic, risk rules and logging are all broker-agnostic. Only authentication, market-data parsing and order placement are specific - keep those behind your own thin wrapper and switching is a weekend.
Can my bot log in by itself every morning?
With Angel One's TOTP flow, yes - your program generates the code itself. Kite Connect expects a browser-based login each session, which means either a person or a workaround you maintain. That difference matters more for unattended deployment than any fee does.
Is this article biased towards Zerodha?
Yes, and it is stated at the top rather than hidden. We are a registered Zerodha Authorised Person, we teach against their API, and the account link here earns a revenue share. The comparison also names where other brokers are better - on cost and on unattended login, they are.
Related Reading
- Zerodha API charges, broken down
- Angel One SmartAPI in Python - tutorial
- Kite Connect API in Python - step-by-step tutorial
- How to start algo trading in India
- Setting up paper trading in India
- All course fees, stated plainly
Disclaimer: TheFinBaba provides educational content only - this is not investment advice. Trading involves risk of loss.
