In Episode 419, In this week’s episode of Trading Talk, Tom revisits the custom calculation framework introduced in the previous Z-Score Trading Talk and shows how loop-based calculations can be used to create completely new trading logic inside Trade View X.

In Episode 418, we demonstrate how volume can be used to identify positive and negative divergence, confirm reversal opportunities, and structure both long and short automated trading logic.

In Episode 417 of Trading Talk,In this episode, , we build an advanced Trend Probability Indicator (TPI) using multiple Ichimoku conditions to identify strong market trends and improve trend confirmation.

In Episode 416 of Trading Talk,In this episode, we build a Trend Probability Indicator using multiple stochastic indicators to confirm direction and identify strong market trends. We also introduce pyramiding logic to help scale into momentum as it develops.

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.