Algorithmic trading, also called algo trading or automated trading, uses pre-programmed rules to place orders in financial markets without manual intervention. It enables traders to execute strategies faster, eliminate emotional bias, and handle large volumes of data in real time. Retail traders in India can now access APIs, low-code platforms, and affordable data services that were once reserved for institutions. A strong algo strategy combines market research, robust coding, thorough backtesting, and strict risk management. Beginners can start small, using paper trading to test systems before deploying real money. Transaction costs, data quality, and latency are key factors to monitor. Compliance with SEBI and broker rules is also critical for smooth operation.
FAQs on Algorithmic Trading
What is algorithmic trading?
It automates order placement using pre-defined rules coded into software, removing manual timing and emotional decisions.
Can retail traders in India use algo trading?
Yes. Many brokers offer APIs and platforms; traders must comply with broker and exchange rules.
Do I need programming skills?
Not always. Low-code platforms exist, but basic coding helps with customization and debugging.
What is backtesting?
It tests a strategy on historical data to assess past performance and refine rules.
What are slippage and latency?
Slippage is the difference between expected and actual price; latency is execution delay.
What risk controls should be used?
Max position size, stop-loss limits, daily drawdown caps, and kill-switches are common.
How to avoid overfitting?
Use out-of-sample testing, keep rules simple, and apply walk-forward analysis.
Is colocation needed for retail traders?
No, VPS or cloud servers usually suffice for most non-HFT strategies.
Are there SEBI rules for algo trading?
Yes. Brokers must ensure compliance, tagging, and pre-trade risk checks.
How much capital should I start with?
Start with an amount you can afford to risk, factoring in margins and costs.


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