In this episode we introduce a powerful feature designed to give you greater control over one of the most important elements in any trading strategy — position sizing.

In this episode we continue the multi part series adding a second trend detection function into the current build. This functions goal is to help pin point the best areas and times on the chart to look for breakouts.

In this episode we create a multi timeframe trading signal, using the Oversold condition on the Daily RSI, combined with the breakout signal on the hourly timeframe, which helps pinpoint a high probability signal.

In this episode, we will check in on the previous versions of the model that we have been working on since episode 365, which are looking good right now.

In this episode we analyse the trading model and find that when the strategy takes trades later in the day they are less successful, compared to when taking them earlier in the trading day. With this information we create a Trading Session function that helps limit the time of the day that the strategy can trade, in doing this the model takes less trades and increases the win rate %.

In this episode, we check in on the results of the My First Algo mini-series from the past 30 days and explore key upgrades for running algos in X Manager. We’ll cover modifying and saving running algos, adding hedging when exposure exceeds net 5, implementing a pyramiding function, and testing across 28 Forex symbols to optimize for low drawdown. Plus, we’ll set up a brand-new algo on a fresh demo account.

In this episode we continue upgrading the previous Breakout strategy and start creating a portfolio with multiple symbols and multiple timeframes.

In this episode of Trading Talk, we continue refining the My First Algo Pack breakout model by optimising take profit levels. Fine-tuning trade exits is a critical aspect of any trading strategy, and we’ll explore how small adjustments can lead to significant improvements. Whether you're already using the My First Algo Pack or just getting started, this session is packed with valuable insights to help you build a more effective, data-driven approach.

This episode will be presented by one of our clients, Calvin, who shows us through a strategy he has been working on for a few years, showing testing and functions that have helped him with the build.

One of the reasons we’ve been so busy is that we’ve been speaking with potential presenters for this year’s Algo Trading Conference—and we’re just about to announce our first speaker! While I can’t reveal too much just yet, we’ve been in discussions with *World Cup Trading Champions and other well-known traders who have built exceptional algorithms and trading tools. There’s a lot of exciting content coming, and I can’t wait to share more details with you soon.