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Algorithmic Trading
6 Modules | 23 Chapters
Module 1
Introduction to Algorithmic Thinking
Course Index

What is Algo Trading – And Why It Matters

Imagine this — you’ve set a trading strategy that says: “Buy Nifty when RSI goes below 30 and sell when it goes above 70.” Now instead of watching charts all day and trying to act quickly every time this happens, what if a computer could do it for you—automatically, without emotions, without missing signals?

That’s algorithmic trading, or simply, algo trading.

In simple words, algo trading means using a computer program to automatically buy and sell stocks or other instruments based on a pre-decided set of rules. These rules can be as simple as a moving average crossover or as complex as a multi-indicator strategy with filters.

Let’s break it down:

  • "Algo" = Algorithm = Set of rules or instructions
  • "Trading" = Buying and selling in the markets
  • Put them together = Trading based on automated logic

Earlier, algo trading was a game for big institutions, hedge funds, and full-time techies. But now, things are changing. Thanks to platforms that give API support, even retail traders in India can build and run algos without much tech know-how.

Here’s why more Indian traders are giving it a shot:

  • No emotions – Algos don’t panic or get greedy. They follow rules.
  • Speed – Computers act in milliseconds. Much faster than manual trading.
  • Discipline – Sticks to the plan, even on a volatile day.
  • Scalability – You can run the same strategy on multiple stocks at once.
Feature Manual Trading Algo Trading
Speed
Slower
Instant execution
Emotions
Can affect decisions
Zero emotions
Multitasking
Limited
Easily scalable
Fatigue
High
None
Entry barrier
Low
Medium (but falling)

So, is algo trading better than manual trading?

Not always. Algo trading is not magic. It works only if your rules are logical, tested, and market relevant. And just like any system, it needs monitoring, tweaking, and risk management.

But here’s the good news. If you're someone who believes in having a proper plan, wants to remove emotion from trading, and is okay learning something new, algo trading can be your edge.

In the next chapter, we’ll look at real-life examples of algos and how even simple strategies can be turned into powerful tools, without writing a single line of code.

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Overview
Real-Life Examples of Algo Trading

Disclaimer: This article is for informational purposes only and does not constitute financial advice. It is not produced by the desk of the Kotak Securities Research Team, nor is it a report published by the Kotak Securities Research Team. The information presented is compiled from several secondary sources available on the internet and may change over time. Investors should conduct their own research and consult with financial professionals before making any investment decisions. Read the full disclaimer here.

Investments in securities market are subject to market risks, read all the related documents carefully before investing. Brokerage will not exceed SEBI prescribed limit. The securities are quoted as an example and not as a recommendation. SEBI Registration No-INZ000200137 Member Id NSE-08081; BSE-673; MSE-1024, MCX-56285, NCDEX-1262.

Overview
Real-Life Examples of Algo Trading

Disclaimer: This article is for informational purposes only and does not constitute financial advice. It is not produced by the desk of the Kotak Securities Research Team, nor is it a report published by the Kotak Securities Research Team. The information presented is compiled from several secondary sources available on the internet and may change over time. Investors should conduct their own research and consult with financial professionals before making any investment decisions. Read the full disclaimer here.

Investments in securities market are subject to market risks, read all the related documents carefully before investing. Brokerage will not exceed SEBI prescribed limit. The securities are quoted as an example and not as a recommendation. SEBI Registration No-INZ000200137 Member Id NSE-08081; BSE-673; MSE-1024, MCX-56285, NCDEX-1262.

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