Rajandran R Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, USDINR and High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Author of Marketcalls.in)

[Webinar] Understanding and Mitigating Curve Fitting in System Trading

1 min read

“Understanding and Mitigating Curve Fitting in System Trading”! This dynamic session aims to equip novice to intermediate traders, quantitative analysts, and financial engineers with the essential skills to prevent overfitting in trading systems. By diving deep into the intricacies of curve fitting and its consequences, we’ll explore the best practices for developing robust systems. With real-world examples and interactive discussions, you’ll leave with actionable insights and tools to improve your trading strategies. Join us in unraveling the complexities of curve fitting and safeguarding your trading success!

Introduction 
– Overview of system trading and the role of quantitative models.
– Definition of curve fitting: Fitting a model too closely to historical data, which may not perform well in the future.
– Brief on why it’s critical in trading systems.

Course Objectives
– Define curve fitting and its importance in system trading.
– Identify the signs of curve fitting in a trading system.
– Understand the consequences of overfitting.
– Learn strategies to prevent curve fitting.
– Apply best practices in developing robust trading systems.

Understanding Curve Fitting 
– Detailed explanation of curve fitting and overfitting.
– Examples of curve fitting in trading systems.
– The difference between good fit and overfit.

Consequences of Curve Fitting 
– Impact on predictive power and performance out of sample.
– Real-world examples of losses due to overfitted models.

Detecting Curve Fitting 
– Signs that your model may be overfitted.
– Tools and methods for diagnosing curve fitting in your system.

Mitigating Curve Fitting 
– Best practices in data management: Out-of-sample testing, cross-validation.
– The importance of simplicity in model design.
– Regularization techniques to prevent overfitting.

Building Robust Trading Systems
– Strategies for developing systems that are resilient to curve fitting.
– Importance of ongoing monitoring and adaptation.

Interactive Q&A Session 
– Open floor for participants to ask questions and discuss real-life challenges they face in system trading and curve fitting.

Conclusion 
– Recap of key points.
– Encouragement to apply the learned concepts.
– Further resources for deepening understanding.

Materials and Resources
– Presentation slides.
– Case studies of trading systems with analysis on curve fitting.
– List of software and tools for backtesting and curve fitting analysis.
– Further reading list: Books, articles, and research papers.

Rajandran R Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, USDINR and High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Author of Marketcalls.in)

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