Trading Strategies Backtesting With Python

Learn how to code and backtest different trading strategies for Forex or Stock markets with Python.
3.96 (157 reviews)
Udemy
platform
English
language
Investing & Trading
category
instructor
Trading Strategies Backtesting With Python
7β€―210
students
10 hours
content
Dec 2020
last update
$29.99
regular price

Why take this course?

🧠 Master Trading Strategy Backtesting with Python!

Are you ready to transform your trading strategies into actionable insights? With Trading Strategies Backtesting with Python, you'll dive deep into the world of algorithmic trading and financial markets, all while mastering the art of backtesting using one of the most versatile programming languages out there – Python! 🐍

Course Overview:

In this comprehensive course, led by the expert instructor Jaro Algocourse, you'll learn how to:

  • Understand the Basics of Trading: Before we jump into coding, we'll cover the fundamental concepts of trading in Forex and Stock markets. This includes different types of trades, market analysis, and what makes a good trading strategy. πŸ“Š

  • Set Up Your Python Environment: We'll guide you through setting up your Python development environment with all the necessary libraries and tools you need for backtesting. πŸ’»

  • Build a Strategy Backtest Platform from Scratch: Learn step-by-step how to create a robust platform to test your trading strategies against historical data. This will be your foundation for analyzing strategy performance. πŸš€

Key Skills You'll Acquire:

πŸ”Ή Strategy Implementation: Turn your ideas into executable algorithms that can be tested in real-time, simulating actual market conditions.

  • Data Handling: Work with financial data efficiently and accurately, understanding the nuances of OHLCV (Open, High, Low, Close, Volume) data.

  • Backtesting Frameworks: Utilize powerful backtesting libraries like backtrader to analyze and visualize your strategy's performance over different timeframes.

  • Performance Analysis: Learn how to evaluate the effectiveness of a trading strategy using various metrics such as Sharpe Ratio, Maximum Drawdown, and more.

πŸ”Ή Strategy Modification & Optimization: Adapt your backtest platform for different strategies, refining them to suit various market conditions.

  • Backtesting Improvements: Discover advanced techniques to enhance the accuracy of your backtests and implement machine learning or other algorithms to improve your strategy.

What's Inside the Course?

  • Expert Instruction: Learn from Jaro Algocourse, an instructor with a wealth of knowledge in algorithmic trading and Python programming.

  • Hands-On Projects: Engage with real-world projects that will challenge you to apply what you've learned and build a fully functional backtesting platform.

  • Interactive Learning: Quizzes, exercises, and assignments designed to reinforce your understanding and put your skills into practice.

  • Community Support: Join a community of like-minded learners who are all on the same journey as you are. Share insights, ask questions, and grow together.

What's Ahead?

As we progress through the course, I will continuously add more strategies and introduce better ways to backtest your ideas. The goal is to ensure that you have a comprehensive toolkit to implement your trading strategies with confidence and precision. 🌟

Don't miss this opportunity to blend your passion for finance with the power of Python programming. Enroll in Trading Strategies Backtesting with Python today and take your first step towards becoming a master at algorithmic trading! πŸš€πŸ’°

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3304466
udemy ID
06/07/2020
course created date
15/10/2020
course indexed date
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