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.