Algorithmic Trading with Python: Technical Analysis Strategy

 

NOTE: Free Course with certificate after completion and this course is free for limited time please ENROLL as soon as possible.

Data Importation, Modeling, Algorithmic Trading, Portfolio management, Live Algo Trading using Python! Bot included.

What you'll learn:

1. MT5 Live Trading using Python
2. Improve your Python skills
3. Create Algorithmic Trading strategies
4. Plot financial data
5. Vectorized Backtesting
6. Statistics like Sharpe ratio, Sortino ratio, beta
7. Combine Trading strategies using Portfolio Management Technic
8. Manage data using Pandas
9. Data Cleaning using pandas
10. Python programming
11. Compare / Choose trading strategies
12. Quantify the risk of a strategy
13. Sortino portfolio Optimization
14. Minimum Variance Optimization
15. Mean Variance Skewness Kurtosis Optimization (not famous but one of the most used)
16. Import finance data from the broker
17. Import financial data from Yahoo Finance
18. Put your strategy on a VPS

Requirements:

Some python knowledge are welcoming but not necessary

Description:

You already have knowledge in python and you want to monetize and diversify your knowledge?

You already have some trading knowledge and you want to learn about algorithmic trading?

You are simply a curious person who wants to get into this subject?

If you answer at least one of these questions, I welcome you to this course. For beginners in python, don't panic there is a python course (small but condensed) to master this python knowledge.

In this course, you will learn how to program strategies from scratch. Indeed, after a crash course in Python, you will learn how to implement a strategy based on one of the most used technical indicators: the RSI. You will also learn how to combine strategies to optimize your risk/return using the portfolio techniques like Sortino portfolio optimization, min variance optimization, and Mean-Variance skewness kurtosis Optimization.

Once the strategies are created, we will backtest them using python. So that we know better this strategy using statistics like Sortino ratio, drawdown the beta... Then we will put our best algorithm in live trading.

You will learn about tools used by both portfolio managers and professional traders:

1. Live trading implementation
2. Import the data
3. Some reference algorithms
4. How to do a backtest
5. The risk of a stock
6. Python
7. What is a long and short position
8. Numpy
9. Pandas
10. Matplotlib
11. Why do you must diversify your investments
12. Sharpe ratio
13. Sortino ratio
14. Alpha coefficient
15. Beta coefficient
16. Sortino Portfolio Optimization
17. Min variance Optimization
18. Mean-Variance skewness kurtosis Optimization

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