Search for algo trading in India and you get two kinds of answers. One promises steady daily income. The other says nobody makes money. Neither helps you decide anything. Below are plain answers to the questions traders ask most, based on what SEBI’s own studies show and how the rules stand today.
Is algo trading real or fake?
It is real. An algo is a set of rules that places orders without you clicking the button. Large firms have used them for years. SEBI’s study of FY24 found that proprietary traders and foreign portfolio investors earned gross trading profits of about ₹33,000 crore and ₹28,000 crore, and 96% and 97% of those profits came from algorithmic trading. In the same year, individual F&O traders as a group lost money.
That contrast is worth reading carefully. Algo trading works for firms with research teams, clean data, cheap execution and strict risk controls. It does not hand the same result to anyone who connects a script to a broker.
Do algo traders make money? Is algo trading profitable?
Some do. Most retail traders do not, and SEBI does not publish results for retail algo users on their own. What it publishes is the outcome for all individual F&O traders, and the numbers are hard.
In its latest study, released in August 2026, SEBI found that 87.7% of individual F&O traders lost money in FY26, down from about 91% the year before. The longer view is worse. Among traders who stayed active in every year from FY22 to FY26, 65.6% lost money in every single year, and only 0.5% were profitable in all five. The share of loss makers also rose with experience, from about 91% among first year traders to over 95% among those with four or more consecutive years.
These figures cover manual and automated traders together, so do not read them as an algo failure rate. The useful takeaway is narrower. Automation fixes slow, emotional execution. It does not fix a strategy with no edge. An algo running a losing idea simply loses more consistently.
Why do most traders lose money?
SEBI’s data points to a few repeat causes.
Costs are one. In FY24, individual F&O traders spent an average of about ₹26,000 each on transaction costs, before counting any loss on the trades themselves. We break down where that money goes in our guide to the hidden costs of algo trading in India.
Persistence is another. SEBI found that more than 75% of traders who lost money kept trading despite consecutive years of losses, which suggests many people continue without changing what they do.
The third is weak testing and position sizing, which we cover in 5 algo trading mistakes that quietly wreck retail accounts.
Can I make ₹500 or ₹1,000 a day, or ₹10 lakh a month?
The best way to test any income claim is to ask what monthly return it needs on your capital. Using about 21 trading days a month:
| Goal | Monthly income | Capital | Return needed each month |
|---|---|---|---|
| ₹500 a day | about ₹10,500 | ₹50,000 | about 21% |
| ₹500 a day | about ₹10,500 | ₹5 lakh | about 2.1% |
| ₹1,000 a day | about ₹21,000 | ₹1 lakh | about 21% |
| ₹1,000 a day | about ₹21,000 | ₹10 lakh | about 2.1% |
| ₹10 lakh a month | ₹10,00,000 | ₹1 crore | 10% |
| ₹10 lakh a month | ₹10,00,000 | ₹10 crore | 1% |
These are before costs and tax. A steady 2% a month works out to roughly 27% a year if it held every month, and very few strategies manage that. So ₹1,000 a day on ₹10 lakh is already ambitious, while the same target on ₹1 lakh needs a return far beyond what most strategies can sustain. Be wary of any claim that skips the capital figure.
Is algo trading banned or illegal in India?
No. Algo trading is legal for retail traders, with rules. SEBI announced its framework for retail algo trading in February 2025, the timeline was deferred more than once, and it became mandatory for all brokers on 1 April 2026. In practice:
- Every algo order carries an exchange assigned Algo ID.
- The exchanges set a threshold of 10 orders per second. If your own code stays under it, you do not register the algo with the exchange, but your orders still run through your broker’s API and its controls.
- Brokers now require things like a whitelisted static IP and a daily login with two factor authentication. This FYERS notice lists these along with the conversion of market orders into market price protection orders.
- Third party platforms must be empanelled with the exchange, and providers of black box strategies need SEBI research analyst registration.
Details can differ slightly by broker, so check your broker’s current notice. For the full background, read our guide to SEBI’s retail algo trading rules.
What are the risks and disadvantages?
Real ones, and most are about the gap between a backtest and live trading.
- Overfitting. A strategy tuned too closely to past data often fails on new data.
- Technical failure. API outages, internet drops and expired logins can leave positions unmanaged if there is no kill switch.
- Costs and slippage. Brokerage, STT, exchange charges and fill differences eat into small edges.
- Compliance friction. Static IP and daily login rules mean a fully hands off setup needs more care than it used to.
How much capital do you need?
There is no official minimum. It depends on the margin your strategy needs and how much you can afford to lose. On the tooling side, the major broker APIs we compared range from free to about ₹500 a month. See Kite Connect vs Angel One SmartAPI vs Upstox API for the details. Start with a position size where a bad week will not hurt.
Can ChatGPT write a trading algorithm?
It can help you write and debug code for a rule you define, such as a moving average crossover that places orders through a broker API. It cannot supply an edge. The code still needs backtesting with realistic costs, paper trading, and compliance with your broker’s API rules. Treat it as a faster way to write code, not a source of strategies.
So should you try algo trading?
If you do, a sensible order is: write the rule down in plain words, backtest it with real costs, paper trade for a few weeks, go live with small size, compare your actual fills with the backtest, and keep a kill switch ready. Our ultimate guide to algo trading in India covers the full setup. Treat the first months as a test of your process, not a source of income.
This article is for education and is not investment advice. Trading in derivatives carries a high risk of loss.
