[Udemy Course] Algorithmic Trading with Python: Technical Analysis Strategy by Lucas Inglese, Florent Fischer

What you’ll learn

MT5 Live Trading using Python

Improve your Python skills

Create Algorithmic Trading strategies

Plot financial data

Vectorized Backtesting

Statistics like Sharpe ratio, Sortino ratio, beta

Combine Trading strategies using Portfolio Management Technic

Manage data using Pandas

Data Cleaning using pandas

Python programming

Compare / Choose trading strategies

Quantify the risk of a strategy

Sortino portfolio Optimization

Minimum Variance Optimization

Mean Variance Skewness Kurtosis Optimization (not famous but one of the most used)

Import finance data from the broker

Import financial data from Yahoo Finance

Put your strategy on a VPS

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:

Live trading implementation

Import the data

Some reference algorithms

How to do a backtest

The risk of a stock

Python

What is a long and short position

Numpy

Pandas

Matplotlib

Why do you must diversify your investments

Sharpe ratio

Sortino ratio

Alpha coefficient

Beta coefficient

Sortino Portfolio Optimization

Min variance Optimization

Mean-Variance skewness kurtosis Optimization

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Product Details: https://bit.ly/3v0EX5I

File size: 2.6GB

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