The Algo Trading Course offered by ISFM is a comprehensive professional training program designed for traders, investors, working professionals, engineers, finance students, and technology enthusiasts who want to learn how to automate trading strategies using technology, data analysis, and algorithmic execution.
Algorithmic Trading has transformed modern financial markets. Today hedge funds, institutional traders, proprietary trading firms, quantitative analysts, and professional traders rely on automated trading systems to identify opportunities, execute trades, manage risk, and remove emotional bias from trading decisions.
This course provides practical training in:
Whether your goal is to automate your own trading, develop quantitative strategies, become an Algo Trader, or build a career in financial technology, this course provides the foundation required to succeed in today’s data-driven financial markets.
₹30,000 /One Time.
Our Trainer are not just faculty members, they are full time professional traders.
1.) Evolution of Trading
2.) What is an Algorithm?
3.) Types of Algo Traders
Learning Outcome: Participants understand how algorithmic trading operates in modern financial markets.
1.) Equity Markets
2.) Derivatives Markets
3.) Commodity Markets
4.) Currency Markets
Learning Outcome: Participants develop a solid understanding of market mechanics before automating strategies
1.) Trend Following
2.) Momentum Analysis
3.) Volatility Analysis
4.) Support and Resistance
Learning Outcome: Participants learn technical concepts commonly used in automated systems.
1.) Python Fundamentals
2.) Data Structures
Learning Outcome: Participants develop foundational programming skills for trading automation
1.) Data Collection
2.) Data Cleaning
3.) Data Visualization
Learning Outcome: Participants learn how to prepare and analyze market data.
1.) Trend Following Systems
2.) Mean Reversion Systems
3.) Momentum Systems
Learning Outcome: Participants learn how to convert trading ideas into rule-based systems.
1.) What is Backtesting?
Testing strategies using historical data.
2.) Performance Metrics
Learning Outcome: Participants learn how to evaluate strategy performance objectively.
1.) Understanding Broker APIs
2.) Trading Automation
Learning Outcome: Participants understand how automated systems interact with brokerage platforms
1.) Corelation with Technical Analysis
2.) Premium Models
Learning Outcome: Participants gain exposure to quantitative trading methodologies.
1.) Automated Risk Controls
Learning Outcome: Participants learn how to integrate risk management into trading algorithms.
1.) Introduction to AI Trading
2.) Intro to Machine Learning Basics
3.) Applications in Finance Use Case
Learning Outcome: Participants understand how AI is being used in modern trading environments.
1.) System Design
2.) Testing Framework
Learning Outcome: Participants learn how professional algorithmic trading systems are built.
₹30,000 /One Time.