In Episode 415 of Trading Talk, we introduce a powerful yet simple concept — the Kill Switch function. This feature is designed to help traders manage risk by closing trades and pausing trading activity when specific conditions are met.

In this week’s episode of Trading Talk, we introduce a simple but highly practical function that allows you to capture profit from closed trades and store it into variables.

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.