Account-Based Lot Size Scaling Strategy | Trading Talk 413
In this week’s episode of Trading Talk, we introduce a powerful function from our Code Snippets library — the Account-Based Lot Size function.
Global indices under pressure as geopolitical risk drives volatility
Are geopolitical risks now starting to dominate over traditional macro drivers like inflation and interest rates, shifting the market narrative?
Could this growing uncertainty trigger a sustained risk-off move and drive further downside across global indices in the near term?
Core Trading Framework: Transforming Models into Adaptive Systems
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.
Global equities weaken as oil surge drives inflation fears
Are rising oil prices and inflation expectations limiting upside potential in equity markets?
Could sustained energy volatility drive further weakness across global indices?
Code Snippets: Build Trading Models Faster with Pre-Built Functions
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.
Global risk sentiment shifts as geopolitical tensions escalate
Is growing geopolitical uncertainty beginning to reshape capital flows across global markets?
Could this volatility trigger larger moves in commodities, FX and equity indices?
Building a Simple Volatility Strategy with Z-Lock and Adaptive Trade Management
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.
Building a Z-Score Volatility Model
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.
Gold rallies and FX jitters weigh on traditional risk assets
Is the recent military escalation in the Middle East now a material driver for cross‑asset risk repricing and elevated volatility expectations?
Could this heightened geopolitical tension see continued rotation out of equities and cryptos into safe‑haven assets like gold and the yen?
Z-Lock Volatility Function
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.
