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How to Record Statistics - Static Level vs. Playbook


Welcome to the How to Record Statistics lesson from Coach Severin, where he delves into the distinct differences between recording statistics for a static level versus recording statistics for a playbook. This lesson does not replace Coach Igor’s “How to Record Statistics” lesson, but merely serves to expand on its original ideas. Enjoy!


 

TIMESTAMPS


 

00:00 – INTRODUCTION


 

00:43 – UTILITY


 

Building statistics is fundamental for:


 

> Informed decision making. 

> Risk management.

> Continuous improvement.

> Maintaining consistency.

> Confidence in trading performance.


 

Statistics transform trading from a subjective endeavor into a data-driven practice.

The goal is to determine whether a setup has a positive expectancy over the long term. 

This is an objective way to evaluate the effectiveness of and reliability of a trading strategy or reference level. 


 

> Determine if a strategy or a playbook has genuine edge.

> Statistical characteristics to assess its risk.

> Mechanical trade execution.

> Helps to stick to a playbook during periods of drawdown.

 

Backtesting:


 

Analyzing historical data and outcomes to gauge how well a setup performed in the past. 

Accelerates the development of a robust statistical foundation for a trading setup.

Exposure to market scenarios you may not have actively traded. 

 

03:30 – IMPLEMENTATION


 

Trading is a dynamic and complex endeavor that constantly evolves.


 

> It is crucial to track statistics not only for static levels but also test specific playbooks and setups across varying market conditions.


 

 Backtesting of a static level:


 

> A static level is a level that remains unchanged during the trading day.

> Example: dOpen, pdHigh and pdLow

> Separate statistics for the first touch during Overnight and New York sessions as well as a combined statistic.


 

> By analyzing historical data and outcomes, traders can gauge how well a particular setup performs and build a statistic. 


 

🔎 04:27 Example of the first touch of dOpen statistics. 


 

Backtesting a Playbook:


 

> A playbook involves patterns related to price movements and specific market conditions.

> Dynamic relationships between levels and market conditions. 

> Reliability and profitability of specific playbooks.

> A playbook needs rules that define that setup.


 

> Remember: “By analyzing historical data and outcomes, traders can gauge how well a particular setup performs.”

> Playbook: “By analyzing historical data and outcomes, traders can gauge how well a particular setup performs under various market conditions. 


 

🔎 07:29 Example of Playbook: dOpen in the upper/lower quartile.


 

Explanation: 

> Relationship between dOpen and previous day’s range.

> Split the pDay range into 4 quartiles.

> Relationship between a dOpen in the upper or lower quartile and a move above/below pdHigh/pdLow.


 

🔎 08:30 Visual example: dOpen in the upper/lower quartile.


 

> Test as many observations as possible and build the statistics.


 

🔎 11:34 Overnight session Supply & Demand flip:


 

Explanation:

> Test of overnight session supply and demand zone during NY.

> Supply & Demand zone is only qualified if at least 3x supply or demand.


 

Entry criteria:

> 15-min close above/below overnight session supply/demand zone.

> Based on 5-min orderflow 


 

Invalidation: 

> 15-min close below/above the overnight session supply/demand zone.

> This is not the stop loss. 


 

🔎 14:34 Overnight session Supply & Demand flip visual example. 


 

> Test as many observations as possible and build a statistic.


 

18:26 – TIPS & TRICKS


 

★ Ideas for playbooks emerge during the backtesting process itself.

★ Continuously collecting and analyzing data helps you to refine your trading strategies and adapt to any market conditions. 

★ There are no limits to backtesting any playbook that piques your interest.  


 

20:50 – CLOSING THOUGHTS


 

Strategies