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Understanding Algorithmic Trading: Concepts and Terminology

A foundation-level walkthrough of algorithmic trading for the Indian markets, covering the core concepts, terminology, and building blocks that separate systematic trading from discretionary trading. Built for engineering graduates, coders, and traders curious about the quant side of NSE and BSE markets.

Algorithmic TradingBacktestingAlgo Trading Careers
MODULES
6
DURATION
~2.4 hrs
TRACK
Algorithmic Trading

What You'll Master

Learn what algorithmic trading is and its core terms
Explore types of algo strategies and backtesting basics
See India's market infrastructure and algo career pathways
Access Level
LEARNER
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Everything included
Full Text Playbooks
Actionable Exercises
Mobile Reading Mode
Lifetime Updates

Curriculum Breakdown

Chapter 1: What Is Algorithmic Trading

3 Lessons
▶
Algorithmic Trading vs Manual Trading vs Discretionary Trading8 min
Preview
▶
The History and Rise of Algo Trading in Indian Markets7 min
Preview
▶
Common Myths About Algo Trading6 min

Chapter 2: Core Terminology Every Algo Trader Must Know

3 Lessons
▶
Orders, Order Types, and Order Books9 min read
▶
Latency, Slippage, and Market Impact8 min read
▶
Alpha, Signal, and Edge: What They Actually Mean7 min read

Chapter 3: Types of Algorithmic Strategies

4 Lessons
▶
Trend Following and Momentum Strategies9 min read
▶
Mean Reversion and Statistical Arbitrage9 min read
▶
Market Making and High Frequency Strategies8 min read
▶
Execution Algorithms: TWAP, VWAP, and Iceberg Orders8 min read

Chapter 4: Backtesting and Strategy Validation

3 Lessons
▶
What Backtesting Is and Why It Matters8 min read
▶
Common Backtesting Pitfalls: Overfitting and Lookahead Bias9 min read
▶
Paper Trading vs Live Trading6 min read

Chapter 5: Indian Market Infrastructure for Algo Trading

3 Lessons
▶
SEBI Regulations on Algorithmic Trading8 min read
▶
Broker APIs in India: Zerodha Kite, Upstox, and Others7 min read
▶
Colocation, DMA, and Exchange Connectivity7 min read

Chapter 6: Getting Started and Career Pathways

3 Lessons
▶
Skills Needed: Python, Statistics, and Market Knowledge8 min read
▶
Career Paths: Prop Desks, Quant Funds, and Building Your Own7 min read
▶
Key Takeaways and Where to Go Next5 min read