Forex Algorithmic Trading with Python : Build a DCA Bot

Create your own profitable DCA Bot with Python. He can trade many currency pairs at once. With free Bot included !!

4.55 (130 reviews)

Udemy

platform

English

language

Investing & Trading

What you will learn

Learn the Fundamentals of Python

Data Analysis With Pandas Library in Python

Foundation Forex Knowladge For Beginners ( Learn Types of Currency Pairs , Lots, Pips, Leverage, Margin, 6 Types of Order Types , Basic Calculations )

The DCA Trading Stratergy ( Placing Orders at Different Price Levels , Calculating the Profit , Taking a Correct Entry, Best Markets to Grid Stratergy )

Fundamentals of Algorithmic Trading

Connecting MetaTrader with Python Using MetaTrader5 Library and Placing Different Types of Orders

Calculating Profit, Margin,Volume ect with Python

Building DCA Strategy Using Psudo Code and Converting into Python Code

Creating Multiple Trading Bots Using Classes and Objects and Run Them Parallelly with Multi Processing

Understanding Suitable Market Situations and Live Trading

Course Gallery

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Forex Algorithmic Trading with Python : Build a DCA Bot – Screenshot 3 — Screenshot 3 – Forex Algorithmic Trading with Python : Build a DCA Bot

Forex Algorithmic Trading with Python : Build a DCA Bot – Screenshot 4 — Screenshot 4 – Forex Algorithmic Trading with Python : Build a DCA Bot

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Comidoc Review

Our Verdict

Forex Algorithmic Trading with Python: Build a DCA Bot is a solid choice for those interested in learning about Forex trading using Python. The course's strengths lie in its real-world examples, hands-on exercises, and accessible presentation of complex concepts for beginners. However, for a more well-rounded education in algorithmic trading, it would be beneficial to provide resources on additional platforms, risk management strategies, backtesting techniques, and performance evaluation methods.

What We Liked

The course offers a comprehensive overview of Forex algorithmic trading with Python, covering topics from the basics of Python to data analysis using Pandas and the mt5 library.
Instructor's expertise is evident throughout the course, making complex concepts accessible even for those with limited programming experience.
Real-world examples and exercises reinforce theoretical knowledge with practical application, helping students build trading strategies and a DCA bot.
Well-structured content provides a step-by-step approach that allows beginners to follow along and understand complex concepts easily.

Potential Drawbacks

The course focuses solely on using the MetaTrader 5 platform, which may limit the applicability for those who prefer other platforms.
While the course covers a wide range of topics, it might be helpful to have further discussions on risk management and optimization strategies in algorithmic trading.
Although there are assignments given, a more extensive final project or capstone could better integrate various concepts learned throughout the course.
The course would benefit from incorporating additional resources or sections dedicated to backtesting strategies and evaluating their performance.