Algorithmic Trading Strategies In Python
Algorithmic Trading Strategies In Python Course
Master Algorithmic Trading: Unlock Profitable Strategies And Backtesting Using Python
Course Description
Welcome to the comprehensive course on Algorithmic Trading Strategies in Python! Join me, Ziad, a seasoned algorithmic trader with over a decade of experience, as I guide you through the fascinating world of algorithmic trading.
In this course, we delve into the fundamentals of algorithmic trading, covering essential concepts, trading mindsets, and the pros and cons of algorithmic trading. Gain a deep understanding of trading terminology, explore technical versus fundamental trading, and grasp basic trading strategies that form the foundation of algorithmic trading.
Discover various types of algorithmic trading strategies, including Mean Reversion, Momentum Trading, and Statistical Arbitrage. Learn how to retrieve and analyze market data using Python, exploring timeframes, ticks data, and utilizing APIs for data retrieval. Dive into the implementation of technical analysis with Python libraries such as TA-Lib and Pandas_TA for effective technical indicators analysis.
What you’ll learn in Algorithmic Trading Strategies Course
- Understand the main essential components of a trading strategy
- Design a targeted trading system
- Implement and backtest a trading system in Python
- Code algorithmic trading strategies in Python
- Backtest and evaluate an automated trading system
Recommended Best Algorithmic Trading Strategies Course
Cryptocurrency Algorithmic Trading with Python and Binance
Algorithmic Stock Trading and Equity Investing with Python
Who this Algorithmic Trading Strategies course is for:
- Traders, and beginner and intermediate Python developers
- Enthusiasts willing to explore the field of financial programming and algorithmic trading
