In this week’s episode of Trading Talk, we introduce a powerful function from our Code Snippets library — the Account-Based Lot Size function.

In Episode 411 of Trading Talk, we introduce a Core Framework designed to take a trading model to the next level.Rather than operating isolated strategies, this approach focuses on integrating models into a structured system that adapts to changing market conditions — including trend, consolidation, and volatility.

In Episode 411 of Trading Talk, we introduce our new internal Code Snippets library, designed to streamline the way traders build and modify algorithmic models.

In this week’s episode of Trading Talk, we combine two recent developments from previous sessions — the Z-Lock volatility function and the adaptive trade management system — to demonstrate how they can work together as a simple strategy framework.

In this week’s episode of Trading Talk, we build out the volatility function introduced in the previous episode and walk through the key formulas step by step. This session focuses on combining log returns, variance and standard deviation to construct a statistical framework that produces a Z-score volatility model.

This episode introduces the logic and purpose behind the Z-Lock. In next week’s Trading Talk, we will walk through the full build process and show how to implement the function inside Trade View X.

n Episode 406 of Trading Talk, we continue developing our trade management framework by introducing a breakout-based entry model and testing its performance through structured backtesting.

n Episode 406 of Trading Talk, we continue developing our trade management framework by introducing a breakout-based entry model and testing its performance through structured backtesting.

In Episode 405 of Trading Talk, We build out the trading strategy introduced in last week’s session, focusing on how individual components come together to form a complete, executable system.

In Episode 404 of Trading Talk, we explore a trade management system designed to operate without traditional take-profit targets. Instead of exiting at a fixed price level, this approach manages trades by capturing a percentage of the market’s total movement.