
Develop a mean reversion system that trades against persistence, entering after sustained moves away from a moving average and exiting at the average price for break-even protection.
Code an anti persistence expert advisor with general inputs for symbol, period traded, and magic number; implement new-bar logic and customize chart appearance for clear backtesting.
Identify persistence bars and persistence patterns by counting consecutive bullish and bearish bars. Use input group bar data and functions to detect bullish and bearish persistence for the expert advisor.
Configure a 100-period moving average, initialize a moving average handle, and use a moving average buffer to fetch and store values for a mean reversion strategy.
Include the trade class from trade.mk to access core trade functions. Create trade and position info objects, set buy and sell comments, and configure maximum slippage and magic number.
Set risk inputs to scale lot size with account balance, count trades with a comment and symbol filter, and compute a normalized lot size within symbol minimum and maximum limits.
Enter the first trades using anti-persistence mean reversion in MQL5. Buy when bearish persistence and price below the moving average, sell when bullish persistence above.
Calculate the break-even price for cost averaging in an mql5 project by computing average buy and sell prices from filtered positions, and output a normalized take-profit ready value.
Define cost averaging parameters for the anti-persistence mean reversion system, including a trade management input distance of 10 pips on a 5-minute chart, and initialize related globals and comments.
Implement cost averaging entries for bullish and bearish persistence, managing buy and sell trades while updating lot size, next buy and sell prices, and take profit.
Test the expert advisor with real-tick backtests, fix take-profit updates, and report equity growth and performance metrics, including about $2,800 profit on a $3,000 account and a 1.6 profit factor.
Master anti-persistence in a mean reversion system with tested results and practical trade management insights, empowering capable traders to develop their own MQL5 projects.
In this course, our objective is to express the value of building a non-martingale or hedging trading system that exploits predictable market tendencies using the building force of the MQL5 algorithmic trading programming language.
The strategy we shall build together in this course is a mean reversion system based on the anti-persistence theory. The anti-persistence theory is based on the fact that price cannot consecutively continue to move in a certain direction infinitely and the more it moves consecutively in a certain direction, the more likely it is to correct. This is because investors have limited capital and their buying activities can be expressed as both bullish bars and bearish bars since when you buy one currency in a pair you also sell another. Hence an end to consecutive bullish or bearish bars may mark the limit of the buying potential of investors, allowing an opportunity for the price to correct back towards its average. This gives us the primary entry logic for our trading system.
In this course, we shall also apply ingenious trade management techniques to ensure that we protect any wins we made by making sure that losses don’t eat into them. As I said before, we shall not use any martingale techniques in this strategy, ensuring that we trade using safe position volumes that can allow account growth without taking considerable risks.
For those that are still finding their way with MQL5, as long as you understand the basics of MQL5, this course is for you. We will patiently guide you through every step of the strategy development process and walk you through every line of code we shall craft. Hopefully, by the end of the course, you will have gained the necessary skills to code similar trading strategies and be able to appreciate how anti-persistence can improve mean reversion strategies.
So hit hard on that enroll button now and join me in this incredible journey of coding the Anti-Persistence mean reversion system.