The course “Quantitative Analysis using ChatGPT & Python” is designed for individuals interested in learning how to analyze their trading strategies and backtest their trading ideas using Python and ChatGPT. This course provides a practical introduction to algorithmic trading, including the basics of quantitative analysis and technical analysis.
Through a step by step approach, this course teaches students how to develop and implement trading strategies using Python. The course starts by introducing the basics of Python programming, data analysis, and visualization, and then moves on to more advanced topics such as statistical modeling, time series analysis, and machine learning.
The course also covers popular trading indicators, such as moving averages, Bollinger Bands, and Relative Strength Index (RSI), and shows students how to implement these indicators in Python to generate trading signals.
In addition, students will learn how to use Python libraries such as pandas, NumPy, and Talib for data analysis and how to backtest their trading strategies.
By the end of the course, students will have a solid understanding of algorithmic trading, backtesting, and the Python programming language, enabling them to develop and implement their own automated trading strategies.
This course is ideal for individuals who have a basic understanding of financial markets and trading concepts and are looking to learn how to automate their trading strategies. Some prior programming experience, preferably in Python, would be helpful but is not required.

Who this course is for:
Python programmers
Traders, Investors
Students of any level
Stock Market Enthusiasts
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SKILLS YOU WILL GAIN
ChatGPT
Algorithmic Trading using ChatGPT
Technical Analysis using ChatGPT
How to do BackTesting using ChatGPT
WHAT YOU WILL LEARN
ChatGPT
Backtest trading strategies and evaluate performance using Python programming language.
Gain practical experience by building and testing trading algorithms in real market conditions.