Udemy – Python for Finance and Algorithmic Trading with QuantConnect 2022-5

Python for Finance and Algorithmic Trading with QuantConnect is a training course on building intelligent trading robots and financial market analysts with Python programming language, published by Udemy Academy. In this course, you will use the Pandas and Matplotlib based Python libraries to develop a fully intelligent and algorithmic trading and analytics system. Finally, you will load your trading robot on the powerful QuantConnect platform and start trading. QuantConnect is an open source, cloud platform that helps engineers and programmers develop their strategies in the form of automated code and bots, and then execute algorithmic transactions. This trading platform provides traders with various symbols and markets, the most important of which are the options market, Forex, Futures, Crypto and the US Stock Exchange.

Python is a high-level and very popular language that has been used in the design of systems based on artificial intelligence and machine learning, and in this regard, this language has been opened to financial markets. In this training course, you will get acquainted with the principles and concepts of economics and trading with the utmost care, and then you will be able to translate these principles into code. All the topics taught in this course are fully implemented and at the end of this course you will gain valuable knowledge in the field of financial markets, trading strategies, algorithmic trading, etc.

What you will learn in Python for Finance and Algorithmic Trading with QuantConnect

• Familiarity with the basics of the Python programming language
• Work with NumPy library for fast numerical processing
• Work with the Pandas library to quickly and efficiently analyze various data
• Work with Matplotlib library to visualize data and display raw and numerical data in the form of various charts and graphs
• Accurate analysis of stock returns and annual profits
• Calculate cumulative daily returns
• Analysis of volatility and risk potential of each market
• Work with moving average EWMA
• Introduction to Sharpe Ratio
• Optimize the portfolio and capital allocated to each symbol and market
• Introduction to efficient boundary theory
• Different types of boxes and tradable symbols
• Ordering methods and determining the profit and loss limit
• Capital Asset Pricing Model
• Familiarity with option and futures trading
• Familiarity with the Monte Carlo computational method
• Familiarity with financial market terms such as income, earnings per share and …
• Working with the Bollinger Band indicator and other available indicators and oscillators
• Familiarity with classical technical analysis

Course specifications

Publisher: Udemy
Instructors: Jose Portilla
Language: English
Level: Introductory to Advanced
Number of Lessons: 135
Duration: 22 hours and 50 minutes

Course topics

Python for Finance and Algorithmic Trading with QuantConnect Prerequisites

Basic Python Experience

Pictures

Python for Finance and Algorithmic Trading with QuantConnect Introduction Video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English

Quality: 720p

Changes:

Version 2022/5 compared to 2021/9 has increased the number of 2 lessons and the duration of 16 minutes.

Download Links

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 119 MB

Size

6.11 GB