Kotak
Stockshaala
Overview of Algorithmic Trading for Beginners
Level
Beginner
Access
Free for all
6 Modules
23 Chapters
What will you learn?
Understand the evolution of algorithmic trading, its role in Indian markets, and how it differs from traditional manual trading.
Learn to design rule-based strategies by converting chart patterns and technical indicators into structured, code-ready logic.
Explore key components like signal generation, filters, and execution frameworks that form the backbone of any trading system.
Gain practical insights into backtesting, position sizing, and risk control, and learn how to evaluate a strategy’s robustness before going live.
Understand SEBI’s regulatory framework, broker APIs, and the infrastructure required for building and deploying retail algo systems safely and efficiently.
FAQs On Algorithmic Trading
The Algorithmic Trading course by Kotak Stockshaala teaches how to design, test, and deploy automated trading strategies. Across 6 modules and 23 chapters, learners explore algorithm development, backtesting methodology, execution systems, risk controls, and performance evaluation for systematic trading in Indian equity and derivatives markets.
This course suits traders with basic market knowledge who want to automate rule-based strategies, and quantitatively inclined investors who want to remove emotional bias from trading. It is relevant for anyone interested in systematic trading on NSE or BSE, with or without a programming background.
Topics include introduction to algorithmic trading, strategy development frameworks, backtesting methodology, execution infrastructure, order management, risk and position sizing, performance metrics (Sharpe ratio, drawdown), and regulatory considerations for algo trading in India, organized across 6 modules and 23 chapters.
The course spans 6 modules and 23 self-paced lessons, progressing from strategy logic and design through backtesting and live execution infrastructure. The structure is suited for learners who want to validate a trading algorithm thoroughly before deploying it in live Indian markets.
Learners develop skills in designing rule-based trading strategies, constructing and interpreting backtests, understanding order execution infrastructure, managing algorithmic risk, evaluating strategy performance using metrics like Sharpe ratio and maximum drawdown, and applying quantitative methods to market data.
This course covers the full algo development cycle, from trading idea to live execution. Learners gain the knowledge to rigorously test strategies against historical data before risking capital, significantly increasing the probability of deploying a robust and consistent automated trading system.
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