Module 2: Building Intraday Trading Systems (Professional Level)

Name of Course- Module 2: Building Intraday Trading Systems (Professional Level)

About Instructor-Mr Anupam Shukla (Certified Technical Analyst, F&O Strategist, Currency Derivative Strategist ,Research Analyst)

Duration of Course– Three Months+ 3 Months Mentorship (Live Market Trade selections & Trade testing -Simulated/Real TradingTesting ) (All five modules of Intraday Trading Expert (Alpha) Course)

Level-Advance

Prerequisite-Will to learn with discipline/Must Have completed Intraday Trading Expert Course by Trading Lab or Have Passed entrance Test With 80% Marks on Market Basics, through which one eligible to take direct admission in Intraday Trading Expert (Alpha)Course

Methodology-Offline/Online Classes/Concept Classes/Lab

Assessment-Worksheets

Course Material-Workbook

Course Fee-INR99999/(Total Fees of Intraday Trading Expert (Alpha)Course includes All five modules of Intraday Trading Expert (Alpha) Course)

Coupon Code-For True knowledge seekers will get on your phone number

Discounted Fees-INR74999/(with Coupon Code)

Certification of Completion-Certificate will be given on completion of course

Course Outline

Module 2: Building Intraday Trading Systems (Professional Level)

Module 2: Building Intraday Trading Systems (Professional Level)

Objective: The Building Intraday Trading Systems module at the professional level is designed to provide participants with advanced knowledge and skills to construct effective intraday trading systems. Participants will learn the principles of systematic trading, algorithm development, and how to optimize and automate their intraday trading strategies.

1: Systematic Trading Fundamentals

1.1 Introduction to Systematic Trading

1.2 Defining Intraday Trading Systems

2: Algorithmic Trading Basics

2.1 Algorithmic Trading Overview

2.2 Algorithm Development Process

3: Technical Indicators and Signal Generation

3.1 Intraday Technical Indicators

3.2 Signal Generation Strategies

4: Risk Management in Intraday Systems

4.1 Risk Parameters and Metrics

4.2 Position Sizing in Algorithmic Trading

5: Backtesting and Optimization

5.1 Backtesting Principles

5.2 Optimization Techniques

6: Automation and Real-time Execution

6.1 Automation Platforms

6.2 Real-time Monitoring and Adjustments

Assessment:

Participants will be evaluated through hands-on exercises, algorithm development projects, and a final project where they build and present a comprehensive intraday trading system. Emphasis will be on practical application, effective risk management, and the ability to adapt systems to changing market dynamics.

Note-The course will be modified regularly to meet Regulatory Body &Industry Standards

Note-The course will be modified regularly to meet Regulatory Body &Industry Standards