A complete guide to coding expert advisors that scan the markets for the most overbought and oversold currencies

What you'll learn
- How to create a market scanner in MQL5
- How to Use a Stoploss in Cost Averaging
- How to Develop a strategy based on individual currency perfomance
- How to manipulate symbols in Arrays with MQL5

Requirements
- Basics in MQL5

Description
Larry Williams is a legend in the trading world. He is the record holder in the World Trading Championships, and to prove how good his trading edge is, his students and followers of his trading methods have won the world trading championships multiple times. Larry Williams did not just trade one chart; he preached the importance of scanning the entire market to find absolute market tops and bottoms across a basket of assets.

But how can we apply this legendary psychology to modern algorithmic trading?

We are going to build a sophisticated Market analyzer that will scan through all the major pairs to identify potential strengths and weaknesses in the market using the MQL5 algorithmic trading language. When most traders look at a chart, they usually speculate the movement of price using information from that currency pair only. However, smart money focuses its attention to thef the individual currencies behind the pairs to predict the volatility of a currency pair.

In this course, you will learn how to code an EA that scans all 8 major currencies in real-time. We will calculate the "Average RSI" index for every currency to identify extreme divergences. When one currency is exhausted (that's if its index RSI value is above 75) and another is beaten down (below 25), our EA matches them to form the ultimate potential reversal pair.

However, we don't just jump in to trade that currency, we shall code patience by enabling the Expert advisor to wait for the RSI to cross back through the levels to confirm the trend reversal before making our trade entries.

Hence in this course, you will learn advanced MQL5 techniques, such as storing these potential setups in dynamic arrays and waiting for the trade trigger the moment the RSI crosses back to confirm the entry.

To manage our trades, we shall implement a smart Cost Averaging system. Unlike risky grids, we will code Hard Stoploss to strictly cap our risk which gets triggered after a specific distance from our first trade. This will ensure that we are not pressured to time our entries and also not incur too much loss when the trade setup is invalidated. When the markets move in our favour, we shall lock in our profits using a dynamic Trailing Stoploss, allowing us to stay in the trade for as long as possible while also protecting our profits.

As we are going to code all these things using the MQL5 language, if you're still familiarizing yourself with MQL5, don't worry, as long as you understand the basics, this course is perfect for you.

I will patiently guide you through each and every step, ensuring that you grasp the concepts behind each line of code. By the end of this course, you'll have gained the skills necessary to code similar projects allowing you to develop Expert Advisors that scan various markets to isolate potential strengths and weaknesses in individual currency pairs to speculate market reversals with confidence.

So hit hard on the enrol button, now, and join me on this exciting journey of coding an expert advisor based on a more holistic market analysis technique.

Who this course is for:
- Anyone willing to advance their Algorithmic trading knowledge
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