
Explore the sure fire hedging strategy with buy entries, paired take profits and stops, and learn to manage risk using trend and time zone filters in the MQL5 tester.
Define input parameters for the sure fire hedge trading strategy in MQL5 by organizing general, risk, and exit settings, including lot sizes, stop loss, take profit, and hash distance.
Define non-input variables for the expert adviser, convert stop loss and take profit from points to prices, and compute hedging distance and first pending lot during initialization.
Code the first buy trade in the anti function using the ask price, include stop loss and take profit, and implement a 50-pip hedging distance with a pending sell.
Code a hedging strategy in MQL5 by managing pending buy and sell orders, calculating next lot sizes with a lot multiplier, and setting stop loss and take profit.
Learn to add control features to the sell hedge in MQL5 by counting PI and cell traits, filtering positions, and detecting new buy signals with pending updates.
Develop a hedging approach in mql5 by using pending buy and sell orders, with more pending functions, price consolidation handling, and stop loss and take profit settings.
Explore testing the MQL5 sure fire hedging strategy, evaluating equity growth, drawdown, margin dynamics, and the impact of cent and US accounts on long-term performance.
Hello everyone, My name is Joy D Moyo and I am going to share with you how to code a forex trading strategy that will literally never lose in the market if you have the appropriate account size.
The strategy that I will use in this course was brought to me by one of my students who requested me to create a course on how to code it. The strategy is pillared on the principles of the random walk trading theory.
The Random walk theory suggests that past changes of prices in exchange rates cannot be used to predict future price movement. It proclaims that prices take a random and unpredictable path that makes all methods of predicting prices futile in the long run. It supports that it is impossible to outperform the market without assuming additional risk.
It regards technical analysis as unreliable because technical analysts only buy or sell after a trend has developed. It also regards fundamental analysis as unreliable due to subjective information collection and data misinterpretation.
Hence the strategy that I will be teaching you to code in this course has no entry trigger and only enters the markets randomly regardless of the market direction, as long as it moves, the strategy makes money. It assumes additional risk to outperform the market in the long run.
To be consistent and never lose as long as there is enough capital, it is based on a hedging trading method. So what is hedging you may ask,
hedging is a method of trading that involves Buying and Selling the same asset to offset risk.
My objective in this course is not to give you a strategy that never loses. It is not to baptize you in money so that you wake up a millionaire or buy a jet in the next few months. My objective is to teach how to code this strategy and other strategies that are similar to it using the MQL5 algorithmic trading language. This course is not for MQL5 Beginners, it’s for people who at least understand the simple basics of the MQL5 trading language. It will enrich you with new mental skills that will introduce you to a whole new trading mindset.
If exploring new ideas is your forte, click that enroll button now and learn how to code a hedging strategy that never loses in the market.