MetaTrader 5 automated trading using Python TUTORIAL

Money management, and Python to put any algorithm in live trading on Forex, crypto or stocks. Bots templates OFFERED
4.06 (260 reviews)
Udemy
platform
English
language
Investing & Trading
category
instructor
MetaTrader 5 automated trading using Python TUTORIAL
7 517
students
6 hours
content
Mar 2024
last update
$19.99
regular price

Why take this course?

🌟 Master MetaTrader 5 Automated Trading with Python! 🚀


Are you ready to leap into the world of algorithmic trading? 📈

Whether you're an aspiring trader looking to automate your strategies, a finance enthusiast eager to delve into quantitative trading, or simply curious about how Python can transform your trading concepts into live market actions - this course is tailored for you!


🎓 What You Will Learn:

  • Master Python: Even if you're a beginner, don't worry! We offer a comprehensive FREE Python crash course to get you up to speed.
  • Algo Trading with MT5: Learn the ins and outs of implementing your trading algorithms in one of the most popular trading platforms - MetaTrader 5 (MT5).
  • Live Trading: Discover how to apply your Python knowledge to execute trades automatically, manage risks effectively, and optimize your trading performance.

Course Highlights:

  • Financial Data Handling: From minute data to monthly data, learn to import and process market ticks and rates with ease.

    • Import historical data and analyze it to make informed decisions.
    • Use advanced tools within MT5 to fetch and manipulate financial data.
  • Order Management: Place various order types with precision, including:

    • Classic orders (buy/sell)
    • Take profit / stop loss
    • Trailing stop loss
    • Pending orders (stop, limit, etc.)
  • Money Management: Implement effective risk management strategies to find the optimal stop loss, take profit levels, and position sizes for your trades.


Why Choose This Course? 🏆

  • Practical Focus: This course bridges the gap between programming and trading strategy for real-world automated trading applications.
  • Expertise: Taught by a professional with a degree in mathematics and economics, specializing in financial mathematics, ensuring you learn from an expert in the field.
  • Community & Support: Engage with fellow traders and get your questions answered through our free Discord forum - a platform for discussion and shared learning.
  • Satisfaction Guaranteed: We offer a 30-day satisfaction or refund guarantee because we're confident this course will exceed your expectations.

What's Inside:

  • Structured Lessons: Follow along with structured, easy-to-digest content that builds your knowledge and skills step by step.
  • Real Examples: Learn through practical examples and real-world scenarios to solidify your understanding.
  • Templates & Tools: Access exclusive templates and tools designed for MT5 trading bots to kickstart your automated trading journey.

Don't Wait, Invest in Your Future Today! 💡

Embark on a journey to become an expert in MetaTrader 5 automated trading using Python. With this course, you'll have the skills and knowledge to create and implement your own trading algorithms, manage risks, and potentially profit from the markets. Enroll now and take the first step towards becoming a successful algorithmic trader!


Join Now & Transform Your Trading Skills! 🌟

With our unconditional 30-day money-back guarantee, you have nothing to lose and everything to gain. Dive into the exciting world of algo trading - where quantitative finance meets programming prowess. Let's trade smarter, not harder! 🚀💸

Course Gallery

MetaTrader 5 automated trading using Python TUTORIAL – Screenshot 1
Screenshot 1MetaTrader 5 automated trading using Python TUTORIAL
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Screenshot 2MetaTrader 5 automated trading using Python TUTORIAL
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Screenshot 3MetaTrader 5 automated trading using Python TUTORIAL
MetaTrader 5 automated trading using Python TUTORIAL – Screenshot 4
Screenshot 4MetaTrader 5 automated trading using Python TUTORIAL

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4520082
udemy ID
28/01/2022
course created date
27/03/2022
course indexed date
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