Meaning
Algorithmic trading uses computer instructions to place, modify, or cancel market Orders. The instructions may be based on price, time, volume, Volatility, index movement, or pre-set risk limits.
Indian Market Context
On NSE, BSE, and MCX, algos can split large orders, track VWAP, hedge options, or stop trading when losses cross a limit. Automation does not make a weak strategy profitable; bad data, poor coding, and overfitting can cause repeated losses.
Example
A trader may code a rule to buy NIFTY futures only when price and volume conditions match, then exit if the loss reaches a fixed amount. The code follows instructions, but the market can still move sharply.
Checklist for Investors
Check whether the broker permits API trading, include brokerage, STT, GST, exchange charges, stamp duty, slippage, and realistic liquidity in every test. Use paper trading, logs, position limits, and kill switches.
Execution and Risk Notes
For Indian traders, the concept matters only after costs and execution are included. Brokerage, STT, GST, stamp duty, exchange transaction charges, SEBI fees, bid-ask spread, slippage, and margin shortfalls can change the result of a trade. This is especially true in options, small-cap stocks, currency contracts, and commodity futures where visible prices can move quickly.
Use contract notes and broker ledgers to verify what actually happened. A screenshot of a chart is not enough. If a strategy cannot survive realistic costs, position-size limits, and a few bad trades in a row, it is not ready for meaningful capital.
This article is for informational purposes only and should not be considered financial advice. Investors should check official SEBI, NSE/BSE, RBI, broker, exchange, or company disclosures and consult a qualified adviser for their own situation.