Trading Talk

In this week’s episode, our Senior Trader Matt shows you how to build a volatility based exit strategy. This is the type of exit you might want to consider adding to your models, especially in these current volatile market conditions.

In this week’s episode, we start to have a look at some of our custom indicators. We will use 2 of the custom indicators to build a strategy that needs both of the signals to confirm that we're going to take the trade. This simple yet effective strategy can be used and adjusted to suit almost any trading market.

In this week’s episode, our trader Rey will run you through using the ZigZag Custom indicator to define a stop loss. This is a simple yet effective strategy that can be used in your trading.

In this week’s episode, we discuss the usefulness of building using a core framework. A framework could be for entries, exits or trade management - this episode continues with an entry framework shared inside a recent episode, with a few tweaks.

In this week’s episode, our Trader Nathan shows you a system that is designed to trade between predetermined ranges. This allows us to use mean reversion strategies to capture moves in a ranging market.

In this week’s episode, our Senior Trader Matt builds a position sizing function and shows you how it works in one of his models. This is a function a lot of traders have asked for so that they can calculate lot size based on previous volatility.

In this week’s episode, we are going to be building on our previous build and adding in a new filter as well as some trade management rules to help us better identify the trades in our direction and lock in profits.

In this week’s episode, our trader Thomas shows you one of the concepts he has been working on recently that utilises the bigger moves in a market to enter and exit trades. He also shows you how you can measure volatility in a market using a key indicator.

In this week’s episode, our Senior Trader builds the popular money management function of 'x% risk per trade'. It is a function you will be able to save and use in your own models.

In this week’s episode, Thomas shows you a concept he has been working on, and how using different methods along with some optimising can help you test different results.