MQL5 PROJECTS: Code the Black Swan Trading Strategy in MQL5
What you'll learn
- How to trade with the Black Swan trading system
- How to translate a trading strategy into code.
- How to implement Time zone filters into EAs
- How to implement Daily Profit and Loss Targets into EAs
Requirements
- A basic foundation in the MQL5 language
Description
For most retail traders, the main objective of trading any financial instrument is to earn a profit, and there is nothing more tempting than an almost guaranteed system that ensures that you earn it.
Have you ever wondered what it would be like to have a system that ensures that you consistently make profits as long as the markets move. Imagine having a system that ensures that you wont ever have to worry about making the wrong market analysis or losing a trade in the market. Imagine entering a trade with a very high degree of certainty that even though you might lose it, in the end, you will have more money than you previously did.
At the centerpiece of this course is the Black Swan trading strategy, which offers a unique approach to managing trades. The strategy ensures that when we are wrong about the market direction, we close our trades at a loss, then recover that loss with a high probability of certainty that eventually we shall make our money back as we trade in the prevailing market direction. If we are correct about the market direction, we capitalize on our winning trades and continue trading in that direction.
To increase our chances of success, we shall build a trading sessions filter that will ensure that we only trade during specific time intervals where high momentum and activity is expected.
We shall also code daily profit and loss limit functions to control how much we are willing to make or lose per day to ensure that we minimize our exposure to black swan events that can limit the success of the strategy.
Throughout this course, we will guide you through the main protocols of the strategy and teach you how to code using the MQL5 language. We will conduct thorough testing to explore its strengths and weaknesses, enabling us to exploit its ideas effectively.
if you're an algorithmic trader seeking new ideas for managing your open trades, then this course is definitely tailored for you. By the end of this course, you'll be enriched with fresh concepts for your own algorithmic trading projects. Lets embark on this exciting journey together. Hit hard on that enroll button now and join us in this incredible journey of coding the Black Swan trading system.
Who this course is for:
- Anyone willing to learn a new trading system.
- Anyone willing to learn how to translate a trading system into MQL5 code.
- Anyone willing to learn how to learn how to create a Daily Profit and Loss limit functions
- Anyone willing to learn how to create a Time zone filter function
Instructors
Daria Sabas Mark is a skilled and accomplished algorithmic trader with five years of experience in the financial markets. Her passion for trading and dedication to mastering the art of algorithmic strategies has positioned her as a sought-after expert in the field.
Having navigated the complexities of financial markets, Daria brings a unique perspective to her Udemy courses. Her engaging teaching style combines theoretical knowledge with practical insights, empowering her students to understand the intricacies of algorithmic trading and make informed decisions in dynamic market conditions.
Throughout her career, Daria has honed her skills in developing automated trading systems, analyzing market data, and implementing algorithmic strategies across various asset classes. Her profound understanding of market trends and risk management enables her to impart invaluable wisdom to aspiring traders, making her courses a standout choice for those seeking to excel in the world of algorithmic trading.
Beyond her expertise in trading, Daria is recognized for her commitment to fostering a supportive and inclusive learning environment. She believes in empowering her students, regardless of their background or experience, to confidently explore the world of algorithmic trading and unlock their full potential as traders.
We are a team of programmers, trading system developers and traders with vast experience trading the financial markets.
We mostly trade Forex with different and diverse trading styles. We love and enjoy trading and sharing our beliefs and knowledge about the markets honors us.
We are Python, MQL5 and MQL4 specialists who create efficient and robust indicators and Algorithmic trading systems, giving us a mathematical, emotional and logical edge in the market.
We have hosted live training sessions in many areas across Africa and we hope that you will find value in what we shall share.
Joy D Moyo is a distinguished algorithmic trading systems designer with over six years of experience in the field. As a retail trader, he mostly focuses on currency trading, although occasionally he trades oil and gold.
Having honed his skills through dedicated efforts, Joy D Moyo has become adept at constructing his own technical indicators and trading strategies. These methods are rooted in non-subjective technical analysis approaches, placing significant emphasis on his ability to effectively exit trades, whether at a loss or in profit.
Despite holding a Bsc Hons Degree in Biochemistry, Joy D Moyo's unwavering determination led him to seek knowledge from esteemed retail traders within the financial market industry, thus propelling him to his current stature. Through relentless dedication, he has cultivated techniques that cater to his specific trading requirements, further augmenting his expertise. In addition, he has delved into the creation of Expert Advisors, automating certain aspects of his trading activities.
Joy D Moyo's journey has entailed significant investments of time and effort, resulting in the development of highly effective trading methods, tailor-made for his success as a retail trader. With a commendable zeal for sharing his wisdom with the world, he eagerly looks forward to imparting his valuable knowledge to aspiring traders.