Algorithmic trading, from the ground up

Algorithmic trading turns a trading idea into precise, testable, automatable rules that a computer can execute without emotion. These pages build your foundation — what algo, systematic and quantitative trading actually mean, how a trading system is structured, and how orders and events flow through it — grounded in how the Indian market (NSE, Nifty, F&O) works.

Algo Trading Basics: Algorithmic trading is the use of a computer program that follows a defined set of rules (an algorithm) to place, manage and exit trades automatically. It replaces discretionary decisions with a repeatable, backtestable process covering data, signal generation, position sizing, risk control and execution. It is a discipline of software engineering and quantitative method — not a shortcut to guaranteed profit.

What is Algorithmic Trading?

Core concept

Algorithmic trading is the practice of executing and managing trades through a computer program that follows a predefined, testable set of rules for …

Rule-Based Trading

Core concept

Rule-based trading is trading in which every decision is derived from explicit, pre-specified conditions of the form if X then Y, so that the same ma…

Systematic Trading

Core concept

Systematic trading is an approach in which the entire trading process — from generating ideas to entering, sizing, exiting and risk-managing trades —…

Quantitative Trading

Core concept

Quantitative trading is the design and deployment of trading strategies derived from mathematical, statistical and data-driven analysis, where hypoth…

Automated Trading

Core concept

Automated trading is the use of software to place, modify and cancel orders programmatically without manual intervention, forming the execution layer…

High-Level System Architecture

Architecture

A trading system architecture is the arrangement of software components — data ingestion, signal generation, position sizing, risk management, execut…

The Trading Lifecycle

Process

The trading lifecycle is the end-to-end process by which a trading strategy progresses from an initial idea through research, backtesting, paper and …

The Order Lifecycle

Execution

The order lifecycle is the sequence of states a single order passes through from creation to a terminal state — created, validated, sent, acknowledge…

Strategy Components

Building blocks

Strategy components are the distinct building blocks that together make a complete trading strategy — the universe and filters that define what can b…

Event-Driven Trading

Architecture

Event-driven trading is an architectural approach in which the trading system is modelled as components that react to a stream of discrete events — m…

Frequently asked questions

What is algorithmic trading?
Algorithmic trading is trading driven by a computer program that follows explicit, pre-defined rules to generate signals and place orders automatically. The rules cover entry, exit, sizing and risk, and can be backtested on historical data before being run live. It removes emotion and enforces consistency, but does not guarantee profit.
Is algorithmic trading legal in India?
Yes. Algorithmic trading is permitted in India and regulated by SEBI. Retail traders can automate through broker-approved APIs, and SEBI has issued a framework for retail algo trading covering registration, static/dynamic algos and broker responsibilities. Always use exchange- and broker-approved routes and read the current SEBI circulars.
Do I need to know programming to trade algorithmically?
To build and run your own algorithms, yes — most systems are written in Python or JavaScript. You need enough programming to express strategy logic, handle data, and integrate a broker API. No-code platforms exist but understanding the code lets you verify what your system actually does, which is a risk-management necessity.
Educational content only — not investment advice. See our Risk Disclosure.