Risk Management in Automated Trading
( 24 Modules )

Module #1
Introduction to Risk Management in Automated Trading
Overview of risk management, its importance, and how it applies to automated trading

Module #2
Types of Risks in Automated Trading
Identification and classification of different types of risks, including market risk, liquidity risk, and operational risk

Module #3
Understanding Automated Trading Systems
Overview of automated trading systems, including types, benefits, and limitations

Module #4
Risk Management Frameworks
Introduction to risk management frameworks, including Enterprise Risk Management (ERM) and Value-at-Risk (VaR)

Module #5
Setting Risk Objectives and Tolerances
Defining risk objectives and tolerances, and how to set risk limits

Module #6
Market Risk Management
Identifying and managing market risk, including equity risk, currency risk, and interest rate risk

Module #7
Liquidity Risk Management
Managing liquidity risk, including identifying liquidity risk, and strategies for managing it

Module #8
Operational Risk Management
Identifying and managing operational risk, including people risk, process risk, and system risk

Module #9
Position Sizing and Risk Allocation
Strategies for position sizing and risk allocation, including fixed fractional position sizing and volatility-based position sizing

Module #10
Risk Monitoring and Reporting
Importance of risk monitoring and reporting, including types of risk reports and metrics

Module #11
Stop-Loss Strategies
Using stop-loss strategies to manage risk, including static and dynamic stop-losses

Module #12
Position Concentration Risk
Managing position concentration risk, including diversification strategies and portfolio optimization

Module #13
Market Crash and Flash Crash Risks
Managing market crash and flash crash risks, including strategies for navigating extreme market conditions

Module #14
High-Frequency Trading Risks
Unique risks associated with high-frequency trading, including market making and statistical arbitrage

Module #15
Quantitative Risk Models
Introduction to quantitative risk models, including Value-at-Risk (VaR), Expected Shortfall (ES), and Stress Testing

Module #16
Backtesting and Evaluating Risk Models
Backtesting and evaluating the performance of risk models, including walk-forward optimization and model validation

Module #17
Regulatory Compliance and Risk Management
Regulatory requirements for risk management in automated trading, including MiFID II and Dodd-Frank

Module #18
Case Studies in Risk Management
Real-world examples of risk management successes and failures in automated trading

Module #19
Risk Management for Different Asset Classes
Risk management strategies for different asset classes, including equities, FX, futures, and options

Module #20
Emerging Risks in Automated Trading
Identifying and managing emerging risks in automated trading, including risks from AI and machine learning

Module #21
Implementing Risk Management in Practice
Practical considerations for implementing risk management in automated trading systems

Module #22
Risk Management Tools and Technologies
Overview of risk management tools and technologies, including risk management platforms and APIs

Module #23
Risk Management for Startups and Small Firms
Risk management strategies for startups and small firms, including resource constraints and scaling risks

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Risk Management in Automated Trading career

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Risk Management in Automated Trading ( 24 Modules )

Risk Management in Automated Trading
( 24 Modules )